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<div class="pre-content"><div><div class="bk_prnt"><p class="small">NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.</p><p>PDQ Cancer Information Summaries [Internet]. Bethesda (MD): National Cancer Institute (US); 2002-. </p></div><div class="messagearea bk_noprnt" style="margin-bottom:1.3846em "><ul class="messages"><li class="warn icon"><span class="icon">This publication is provided for historical reference only and the information may be out of date.</span></li></ul></div><div class="bk_prnt"><p style="color:red;"><strong>This publication is provided for historical reference only and the information may be out of date.</strong></p></div><div class="iconblock clearfix whole_rhythm no_top_margin bk_noprnt"><a class="img_link icnblk_img" title="Table of Contents Page" href="/books/n/pdqcis/"><img class="source-thumb" src="/corehtml/pmc/pmcgifs/bookshelf/thumbs/th-pdqcis-lrg.png" alt="Cover of PDQ Cancer Information Summaries" height="100px" width="80px" /></a><div class="icnblk_cntnt eight_col"><h2>PDQ Cancer Information Summaries [Internet].</h2><a data-jig="ncbitoggler" href="#__NBK65767_dtls__">Show details</a><div style="display:none" class="ui-widget" id="__NBK65767_dtls__"><div>Bethesda (MD): <a href="http://www.cancer.gov/" ref="pagearea=page-banner&targetsite=external&targetcat=link&targettype=publisher">National Cancer Institute (US)</a>; 2002-.</div></div><div class="half_rhythm"></div><div class="bk_noprnt"><form method="get" action="/books/n/pdqcis/" id="bk_srch"><div class="bk_search"><label for="bk_term" class="offscreen_noflow">Search term</label><input type="text" title="Search this book" id="bk_term" name="term" value="" data-jig="ncbiclearbutton" /> <input type="submit" class="jig-ncbibutton" value="Search this book" submit="false" style="padding: 0.1em 0.4em;" /></div></form></div></div></div></div></div>
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<div class="main-content lit-style" itemscope="itemscope" itemtype="http://schema.org/CreativeWork"><div class="meta-content fm-sec"><h1 id="_NBK65767_"><span class="title" itemprop="name">Genetics of Breast and Gynecologic Cancers (PDQ®)</span></h1><div class="subtitle whole_rhythm">Health Professional Version</div><p class="contrib-group"><span itemprop="author">PDQ Cancer Genetics Editorial Board</span>.</p><p class="small">Published online: October 1, 2015.</p></div><div class="jig-ncbiinpagenav body-content whole_rhythm" data-jigconfig="allHeadingLevels: ['h2'],smoothScroll: false" itemprop="text"><div id="_abs_rndgid_" itemprop="description"><p id="CDR0000062855__2838">This PDQ cancer information summary for health professionals provides comprehensive, peer-reviewed, evidence-based information about the genetics of breast and gynecologic cancers. It is intended as a resource to inform and assist clinicians who care for cancer patients. It does not provide formal guidelines or recommendations for making health care decisions.</p><p id="CDR0000062855__2839">This summary is reviewed regularly and updated as necessary by the PDQ Cancer Genetics Editorial Board, which is editorially independent of the National Cancer Institute (NCI). The summary reflects an independent review of the literature and does not represent a policy statement of NCI or the National Institutes of Health (NIH).</p></div><div id="CDR0000062855__1"><h2 id="_CDR0000062855__1_">Introduction</h2><div id="CDR0000062855__2"><h3>General Information</h3><p id="CDR0000062855__1223">[<i>Note: Many of the medical and scientific terms used in this summary are found in the <a href="http://www.cancer.gov/publications/dictionaries/genetics-dictionary" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">NCI Dictionary of Genetics Terms</a>. When a linked term is clicked, the definition will appear in a separate window.</i>]</p><p id="CDR0000062855__1593">[<i>Note: Many of the genes and conditions described in this summary are found in the Online Mendelian Inheritance in Man (OMIM) database. When OMIM appears after a gene name or the name of a condition, click on OMIM for a link to more information.</i>]</p><p id="CDR0000062855__3">Among women, breast cancer is the most commonly diagnosed cancer after
|
||
nonmelanoma skin cancer, and it is the second leading cause of cancer deaths after
|
||
lung cancer. In 2015, an estimated 234,190 new cases will be diagnosed, and
|
||
40,730 deaths from breast cancer will occur.[<a class="bk_pop" href="#CDR0000062855_rl_1_1">1</a>] The incidence of breast cancer, particularly for estrogen receptor–positive cancers occurring after age 50 years, is declining and has declined at a faster rate since 2003; this may be temporally related to a decrease in hormone replacement therapy (HRT) after early reports from the Women’s Health Initiative (WHI).[<a class="bk_pop" href="#CDR0000062855_rl_1_2">2</a>] An estimated 21,290 new cases of ovarian cancer are expected in 2015, with an estimated 14,180 deaths. Ovarian cancer is the fifth most deadly cancer in women.[<a class="bk_pop" href="#CDR0000062855_rl_1_1">1</a>] An estimated 54,870 new cases of endometrial cancer are expected in 2015, with an estimated 10,170 deaths.[<a class="bk_pop" href="#CDR0000062855_rl_1_1">1</a>] (Refer to the PDQ summaries on <a href="/books/n/pdqcis/CDR0000062787/">Breast Cancer Treatment</a>; <a href="/books/n/pdqcis/CDR0000062829/">Ovarian Epithelial, Fallopian Tube, and Primary Peritoneal Cancer Treatment</a>; and <a href="/books/n/pdqcis/CDR0000062903/">Endometrial Cancer Treatment</a> for more information about breast, ovarian, and endometrial cancer rates, diagnosis, and management.)</p><p id="CDR0000062855__4">A possible genetic contribution to both breast and ovarian cancer risk is indicated by the
|
||
increased incidence of these cancers among women with a <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000302456/" class="def">family history</a> (refer to the <a href="#CDR0000062855__2723">Risk Factors for Breast Cancer</a>, <a href="#CDR0000062855__2724">Risk Factors for Ovarian Cancer</a>, and <a href="#CDR0000062855__2725">Risk Factors for Endometrial Cancer</a> sections below for more information), and by the observation of some families in which multiple family
|
||
members are <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460124/" class="def">affected</a> with breast and/or ovarian cancer, in a pattern compatible with an inheritance of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339338/" class="def">autosomal dominant</a> cancer susceptibility. Formal studies of families (<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000425374/" class="def">linkage analysis</a>) have subsequently proven the
|
||
existence of autosomal dominant predispositions to breast and ovarian cancer and have led to the
|
||
identification of several highly <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339344/" class="def">penetrant</a>
|
||
<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000045693/" class="def">genes</a> as the cause
|
||
of inherited cancer risk in many families. (Refer to the PDQ
|
||
summary <a href="/books/n/pdqcis/CDR0000517309/">Cancer Genetics Overview</a> for more information about linkage
|
||
analysis.) <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000046063/" class="def">Mutations</a> in these genes are rare in the general population and are estimated to account for no more
|
||
than 5% to 10% of breast and ovarian cancer cases overall. It is likely that other
|
||
genetic factors contribute to the etiology of some of these cancers.</p></div><div id="CDR0000062855__2723"><h3>Risk Factors for Breast Cancer</h3><p id="CDR0000062855__2752">Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062779/">Breast Cancer Prevention</a>
|
||
for information about risk factors for breast cancer in the general population.</p><div id="CDR0000062855__6"><h4>Family history including inherited cancer genes</h4><p id="CDR0000062855__7">In cross-sectional studies of adult populations, 5% to 10% of women have a
|
||
mother or sister with breast cancer, and about twice as many have either a
|
||
<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460150/" class="def">first-degree relative</a> (FDR) or a <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000485395/" class="def">second-degree relative</a> with breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_3">3</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_6">6</a>] The risk
|
||
conferred by a family history of breast cancer has been assessed in case-control and cohort studies, using volunteer and population-based samples,
|
||
with generally consistent results.[<a class="bk_pop" href="#CDR0000062855_rl_1_7">7</a>] In a pooled analysis of 38 studies, the
|
||
relative risk (RR) of breast cancer conferred by an FDR with breast
|
||
cancer was 2.1 (95% confidence interval [CI], 2.0–2.2).[<a class="bk_pop" href="#CDR0000062855_rl_1_7">7</a>] Risk increases with the number of affected relatives, age at diagnosis, the occurrence of bilateral or multiple ipsilateral breast cancers in a family member, and the number of affected male relatives.[<a class="bk_pop" href="#CDR0000062855_rl_1_4">4</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_5">5</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_7">7</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_9">9</a>] A large population-based study from the Swedish Family Cancer Database confirmed the finding of a significantly increased risk of breast cancer in women who had a mother or a sister with breast cancer. The hazard ratio (HR) for women with a single breast cancer in the family was 1.8 (95% CI, 1.8–1.9) and was 2.7 (95% CI, 2.6–2.9) for women with a family history of multiple breast cancers. For women who had multiple breast cancers in the family, with one occurring before age 40 years, the HR was 3.8 (95% CI, 3.1–4.8). However, the study also found a significant increase in breast cancer risk if the relative was aged 60 years or older, suggesting that breast cancer at any age in the family carries some increase in risk.[<a class="bk_pop" href="#CDR0000062855_rl_1_9">9</a>] (Refer to the <a href="#CDR0000062855__117">Penetrance of mutations</a> section of this summary for a discussion of familial risk in women from families with <i>BRCA1/BRCA2</i> mutations who themselves test negative for the family mutation.)
|
||
</p></div><div id="CDR0000062855__338"><h4>Age</h4><p id="CDR0000062855__28">Cumulative risk of breast cancer increases with age, with most breast cancers
|
||
occurring after age 50 years.[<a class="bk_pop" href="#CDR0000062855_rl_1_10">10</a>] In women with a <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000256553/" class="def">genetic susceptibility</a>, breast
|
||
cancer, and to a lesser degree, ovarian cancer, tends to occur at an earlier age than in sporadic cases. </p></div><div id="CDR0000062855__339"><h4>Reproductive history
|
||
</h4><p id="CDR0000062855__2800">In general, breast cancer risk increases with early menarche and late menopause and is reduced by early first full-term pregnancy. There may be an increased risk of breast cancer in <i>BRCA1</i> and <i>BRCA2</i> mutation <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460132/" class="def">carriers</a> with pregnancy at a younger age (before age 30 years), with a more significant effect seen for <i>BRCA1</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_1_11">11</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_13">13</a>] Likewise, breast feeding can reduce breast cancer risk in <i>BRCA1</i> (but not <i>BRCA2</i>) mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_1_14">14</a>] Regarding the effect of pregnancy on breast cancer outcomes, neither diagnosis of breast cancer during pregnancy nor pregnancy after breast cancer seems to be associated with adverse survival outcomes in women who carry a <i>BRCA1</i> or <i>BRCA2</i> mutation.[<a class="bk_pop" href="#CDR0000062855_rl_1_15">15</a>] Parity appears to be protective for <i>BRCA1</i> and <i>BRCA2</i> mutation carriers, with an additional protective effect for live birth before age 40 years.[<a class="bk_pop" href="#CDR0000062855_rl_1_16">16</a>]</p></div><div id="CDR0000062855__340"><h4>Oral contraceptives</h4><p id="CDR0000062855__33">Oral contraceptives (OCs) may produce a slight increase in breast cancer risk among
|
||
long-term users, but this appears to be a short-term effect. In a meta-analysis
|
||
of data from 54 studies, the risk of breast cancer associated with OC use did not vary in relationship to a family history of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_17">17</a>]
|
||
</p><p id="CDR0000062855__34">OCs are sometimes recommended for ovarian cancer prevention in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers. Although the data are not entirely consistent, a meta-analysis concluded that there was no significant increased risk of breast cancer with OC use in <i>BRCA1/BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_1_18">18</a>] However, use of OCs formulated before 1975 was associated with an increased risk of breast cancer (summary relative risk [SRR], 1.47; 95% CI, 1.06–2.04).[<a class="bk_pop" href="#CDR0000062855_rl_1_18">18</a>] (Refer to the <a href="#CDR0000062855__2167">Reproductive factors</a> section in the <a href="#CDR0000062855__575">Clinical Management of BRCA Mutation Carriers</a> section of this summary for more information.) </p><div id="CDR0000062855__1055"><h5>Hormone replacement therapy</h5><p id="CDR0000062855__35">Data exist from both observational and randomized clinical trials regarding the association between postmenopausal HRT and breast cancer. A meta-analysis of data from 51
|
||
observational studies indicated a RR of breast cancer of 1.35 (95% CI, 1.21–1.49)
|
||
for women who had used HRT for 5 or more years after menopause.[<a class="bk_pop" href="#CDR0000062855_rl_1_19">19</a>] The <a href="http://cancer.gov/clinicaltrials/search/view?version=healthprofessional&cdrid=599223" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">WHI</a> (<a href="https://clinicaltrials.gov/show/NCT00000611" title="Study NCT00000611" ref="pagearea=body&targetsite=external&targetcat=link&targettype=clinical-trial">NCT00000611</a>), a randomized controlled trial of about 160,000 postmenopausal women, investigated the risks and benefits of HRT. The estrogen-plus-progestin arm of the study, in which more than 16,000 women were randomly assigned to receive combined HRT or placebo, was halted early because health risks exceeded benefits.[<a class="bk_pop" href="#CDR0000062855_rl_1_20">20</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_21">21</a>] Adverse outcomes prompting closure included significant increase in both total (245 vs. 185 cases) and invasive (199 vs. 150 cases) breast cancers (RR, 1.24; 95% CI, 1.02–1.5, <i>P</i> <. 001) and increased risks of coronary heart disease, stroke, and pulmonary embolism. Similar findings were seen in the estrogen-progestin arm of the prospective observational Million Women’s Study in the United Kingdom.[<a class="bk_pop" href="#CDR0000062855_rl_1_22">22</a>] The risk of breast cancer was not elevated, however, in women randomly assigned to estrogen-only versus placebo in the WHI study (RR, 0.77; 95% CI, 0.59–1.01). Eligibility for the estrogen-only arm of this study required hysterectomy, and 40% of these patients also had undergone oophorectomy, which potentially could have impacted breast cancer risk.[<a class="bk_pop" href="#CDR0000062855_rl_1_23">23</a>]</p><p id="CDR0000062855__36">The association between HRT and breast cancer risk among women with a family history of breast cancer has not been consistent; some studies suggest risk is particularly elevated among women with a family history, while others have not found evidence for an interaction between these factors.[<a class="bk_pop" href="#CDR0000062855_rl_1_24">24</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_28">28</a> ,<a class="bk_pop" href="#CDR0000062855_rl_1_19">19</a>]
|
||
The increased risk of breast cancer associated with HRT use in the large meta-analysis did not differ significantly between subjects with and without a family history.[<a class="bk_pop" href="#CDR0000062855_rl_1_28">28</a>] The WHI study has not reported analyses stratified on breast cancer family history, and subjects have not been systematically tested for <i>BRCA1/BRCA2</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_1_21">21</a>] Short-term use of hormones for treatment of menopausal symptoms appears to
|
||
confer little or no breast cancer risk.[<a class="bk_pop" href="#CDR0000062855_rl_1_19">19</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_29">29</a>] The effect of HRT on breast cancer risk among carriers of <i>BRCA1</i> or <i>BRCA2</i> mutations has been studied only in the context of bilateral risk-reducing oophorectomy, in which short-term replacement does not appear to reduce the protective effect of oophorectomy on breast cancer risk.[<a class="bk_pop" href="#CDR0000062855_rl_1_30">30</a>] (Refer to the <a href="#CDR0000062855__2183">Hormone replacement therapy in BRCA1/BRCA2 mutation carriers</a> section of this summary for more information.)</p></div></div><div id="CDR0000062855__341"><h4>Radiation exposure</h4><p id="CDR0000062855__38">Observations in survivors of the atomic bombings of Hiroshima and Nagasaki and in women who have received
|
||
therapeutic radiation treatments to the chest and upper body document increased
|
||
breast cancer risk as a result of radiation exposure. The significance of this
|
||
risk factor in women with a genetic susceptibility to breast cancer is unclear.
|
||
</p><p id="CDR0000062855__872">Preliminary data suggest that increased sensitivity to
|
||
radiation could be a cause of cancer susceptibility in carriers of <i>BRCA1</i> or
|
||
<i>BRCA2</i> mutations,[<a class="bk_pop" href="#CDR0000062855_rl_1_31">31</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_34">34</a>] and in association with germline <i>ATM</i> and <i>TP53</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_1_35">35</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_36">36</a>] </p><p id="CDR0000062855__42">The possibility that genetic susceptibility to breast cancer occurs via a
|
||
mechanism of radiation sensitivity raises questions about radiation exposure.
|
||
It is possible that diagnostic radiation exposure, including mammography, poses
|
||
more risk in genetically susceptible women than in women of average risk.
|
||
Therapeutic radiation could also pose carcinogenic risk. A cohort study of
|
||
<i>BRCA1</i> and <i>BRCA2</i> mutation carriers treated with breast-conserving therapy,
|
||
however, showed no evidence of increased radiation sensitivity or sequelae in
|
||
the breast, lung, or bone marrow of mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_1_37">37</a>] Conversely,
|
||
radiation sensitivity could make tumors in women with genetic susceptibility to
|
||
breast cancer more responsive to radiation treatment. Studies examining the impact of radiation exposure, including, but not limited to, mammography, in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers have had conflicting results.[<a class="bk_pop" href="#CDR0000062855_rl_1_38">38</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_42">42</a>] A large European study showed a dose-response relationship of increased risk with total radiation exposure, but this was primarily driven by nonmammographic radiation exposure before age 20 years.[<a class="bk_pop" href="#CDR0000062855_rl_1_42">42</a>] (Refer to the <a href="#CDR0000062855__2132">Mammography</a> section in the <a href="#CDR0000062855__575">Clinical Management of BRCA Mutation Carriers</a> section of this summary for more information about radiation.)</p></div><div id="CDR0000062855__342"><h4>Alcohol intake</h4><p id="CDR0000062855__1056">The risk of breast cancer increases by approximately 10% for each 10 g of daily alcohol intake (approximately one drink or less) in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_1_43">43</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_44">44</a>] Prior studies of <i>BRCA1/BRCA2</i> mutation carriers have found no increased risk associated with alcohol consumption.[<a class="bk_pop" href="#CDR0000062855_rl_1_45">45</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_46">46</a>] </p></div><div id="CDR0000062855__1583"><h4>Physical activity and anthropometry</h4><p id="CDR0000062855__1584">Weight gain and being overweight are commonly recognized risk factors for
|
||
breast cancer. In general, overweight women are most commonly observed to be at increased
|
||
risk of postmenopausal breast cancer and at reduced risk of premenopausal
|
||
breast cancer. Sedentary lifestyle may also be a risk factor.[<a class="bk_pop" href="#CDR0000062855_rl_1_47">47</a>] These factors
|
||
have not been systematically evaluated in women with a positive family history of breast
|
||
cancer or in carriers of cancer-predisposing mutations, but one study suggested a reduced risk of cancer associated with exercise among <i>BRCA1</i> and <i>BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_1_48">48</a>]</p></div><div id="CDR0000062855__343"><h4>Benign breast disease and mammographic density</h4><p id="CDR0000062855__47">Benign breast disease (BBD) is a risk factor for breast cancer, independent of
|
||
the effects of other major risk factors for breast cancer (age, age at
|
||
menarche, age at first live birth, and family history of breast cancer).[<a class="bk_pop" href="#CDR0000062855_rl_1_49">49</a>] There may also be an association between BBD and family history of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_50">50</a>]</p><p id="CDR0000062855__50">An increased risk of breast cancer has also been demonstrated for women who
|
||
have increased density of breast tissue as assessed by mammogram,[<a class="bk_pop" href="#CDR0000062855_rl_1_49">49</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_51">51</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_52">52</a>] and breast density is likely to have a genetic component in its etiology.[<a class="bk_pop" href="#CDR0000062855_rl_1_53">53</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_55">55</a>]</p></div><div id="CDR0000062855__344"><h4>Other factors</h4><p id="CDR0000062855__54">Other risk factors, including those that are only weakly associated with breast
|
||
cancer and those that have been inconsistently associated with the disease in
|
||
epidemiologic studies (e.g., cigarette smoking), may be important in women who are in specific genotypically defined subgroups. One study [<a class="bk_pop" href="#CDR0000062855_rl_1_56">56</a>] found a reduced risk of breast cancer among <i>BRCA1/BRCA2</i> mutation carriers who smoked, but an expanded follow-up study failed to find an association.[<a class="bk_pop" href="#CDR0000062855_rl_1_57">57</a>]
|
||
</p></div></div><div id="CDR0000062855__2724"><h3>Risk Factors for Ovarian Cancer</h3><p id="CDR0000062855__2753">Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062771/">Ovarian, Fallopian Tube, and Primary Peritoneal Cancer Prevention</a> for information about risk factors for ovarian cancer in the general population.</p><div id="CDR0000062855__11"><h4>Family history including inherited cancer genes</h4><p id="CDR0000062855__12">Although reproductive, demographic, and lifestyle
|
||
factors affect risk of ovarian cancer, the single greatest ovarian cancer risk
|
||
factor is a family history of the disease. A large meta-analysis of 15 published studies estimated an odds ratio of 3.1 for the risk of ovarian cancer associated with at least one FDR with ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_58">58</a>]</p></div><div id="CDR0000062855__345"><h4>Age</h4><p id="CDR0000062855__59">Ovarian cancer incidence rises in a linear fashion from age 30 years to age 50 years and continues to increase, though at a slower rate, thereafter. Before age 30 years, the risk of developing epithelial ovarian cancer is remote, even in hereditary cancer families.[<a class="bk_pop" href="#CDR0000062855_rl_1_59">59</a>]</p></div><div id="CDR0000062855__347"><h4>Reproductive
|
||
history</h4><p id="CDR0000062855__63">Nulliparity is consistently associated with an increased risk of ovarian cancer, including among <i>BRCA1/BRCA2</i> mutation carriers, yet a meta-analysis could only identify risk-reduction in women with four or more live births.[<a class="bk_pop" href="#CDR0000062855_rl_1_13">13</a>] Risk may also be increased among women who have used fertility drugs, especially those who remain nulligravid.[<a class="bk_pop" href="#CDR0000062855_rl_1_60">60</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_61">61</a>] Several studies have reported a risk reduction in ovarian cancer after OC pill use in <i>BRCA1/BRCA2</i> mutation carriers;[<a class="bk_pop" href="#CDR0000062855_rl_1_62">62</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_64">64</a>] a risk reduction has also been shown after tubal ligation in <i>BRCA1</i> carriers, with a statistically significant decreased risk of 22% to 80% after the procedure.[<a class="bk_pop" href="#CDR0000062855_rl_1_64">64</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_65">65</a>]
|
||
On the other hand, evidence is growing that the use of menopausal HRT is associated with an increased risk of ovarian cancer, particularly in long-time users and users of sequential estrogen-progesterone schedules.[<a class="bk_pop" href="#CDR0000062855_rl_1_66">66</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_69">69</a>]</p></div><div id="CDR0000062855__348"><h4>Surgical history
|
||
</h4><p id="CDR0000062855__65">Bilateral tubal ligation and hysterectomy are associated with reduced ovarian cancer risk,[<a class="bk_pop" href="#CDR0000062855_rl_1_60">60</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_70">70</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_71">71</a>] including in <i>BRCA1/BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_1_72">72</a>] Ovarian cancer risk is reduced more than 90% in women with documented <i>BRCA1</i> or <i>BRCA2</i> mutations who chose risk-reducing salpingo-oophorectomy. In this same population, prophylactic removal of the ovaries also resulted in a nearly 50% reduction in the risk of subsequent breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_73">73</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_74">74</a>] (Refer to the <a href="#CDR0000062855__2236">Risk-reducing salpingo-oophorectomy</a> section of this summary for more information about these studies.)</p></div><div id="CDR0000062855__1059"><h4>Oral contraceptives</h4><p id="CDR0000062855__1060">Use of OCs for 4 or more years is associated with an approximately 50% reduction in ovarian cancer risk in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_1_60">60</a> ,<a class="bk_pop" href="#CDR0000062855_rl_1_75">75</a>] A majority of, but not all, studies also support OCs being protective among <i>BRCA1/ BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_1_65">65</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_76">76</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_79">79</a>] A meta-analysis of 18 studies including 13,627 <i>BRCA</i> mutation carriers reported a significantly reduced risk of ovarian cancer (SRR, 0.50; 95% CI, 0.33–0.75) associated with OC use.[<a class="bk_pop" href="#CDR0000062855_rl_1_18">18</a>] (Refer to the <a href="#CDR0000062855__2247">Oral contraceptives</a> section in the <a href="#CDR0000062855__2246">Chemoprevention</a> section of this summary for more information.)</p></div></div><div id="CDR0000062855__2725"><h3>Risk Factors for Endometrial Cancer</h3><p id="CDR0000062855__2754">Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062823/">Endometrial Cancer Prevention</a> for information about risk factors for endometrial cancer in the general population.</p><div id="CDR0000062855__2703"><h4>Family history including inherited cancer genes</h4><p id="CDR0000062855__2704">Although the hyperestrogenic state is the most common predisposing factor for endometrial cancer, family history also plays a significant role in a woman’s risk for disease. Approximately 3% to 5% of uterine cancer cases are attributable to a hereditary cause,[<a class="bk_pop" href="#CDR0000062855_rl_1_80">80</a>] with the main hereditary endometrial cancer syndrome being Lynch syndrome (LS), an autosomal dominant genetic condition with a population prevalence of 1 in 300 to 1 in 1,000 individuals.[<a class="bk_pop" href="#CDR0000062855_rl_1_81">81</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_82">82</a>] (Refer to the <a href="/books/n/pdqcis/CDR0000062863/#CDR0000062863__120">LS</a> section in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062863/">Genetics of Colorectal Cancer</a> for more information.)</p></div><div id="CDR0000062855__2726"><h4>Age</h4><p id="CDR0000062855__2734">
|
||
Age is an important risk factor for endometrial cancer. Most women with endometrial cancer are diagnosed after menopause. Only 15% of women are diagnosed with endometrial cancer before age 50 years, and fewer than 5% are diagnosed before age 40 years.[<a class="bk_pop" href="#CDR0000062855_rl_1_83">83</a>]
|
||
Women with LS tend to develop endometrial cancer at an earlier age, with the median age at diagnosis of 48 years.[<a class="bk_pop" href="#CDR0000062855_rl_1_84">84</a>]</p></div><div id="CDR0000062855__2727"><h4>Reproductive history</h4><p id="CDR0000062855__2735">Reproductive factors such as multiparity, late menarche, and early menopause decrease the risk of endometrial cancer because of the lower cumulative exposure to estrogen and the higher relative exposure to progesterone.[<a class="bk_pop" href="#CDR0000062855_rl_1_85">85</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_86">86</a>]</p></div><div id="CDR0000062855__2729"><h4>Hormones</h4><p id="CDR0000062855__2736">Hormonal factors that increase the risk of type I endometrial cancer are better understood. All endometrial cancers share a predominance of estrogen relative to progesterone. Prolonged exposure to estrogen or unopposed estrogen increases the risk of endometrial cancer. Endogenous exposure to estrogen can result from obesity, polycystic ovary syndrome (PCOS), and nulliparity, while exogenous estrogen can result from taking unopposed estrogen or tamoxifen. Unopposed estrogen increases the risk of developing endometrial cancer by twofold to twentyfold, proportional to the duration of use.[<a class="bk_pop" href="#CDR0000062855_rl_1_87">87</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_88">88</a>] Tamoxifen, a selective estrogen receptor modulator, acts as an estrogen agonist on the endometrium while acting as an estrogen antagonist in breast tissue, and increases the risk of endometrial cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_89">89</a>] In contrast, oral contraceptives, the levonorgestrel-releasing intrauterine system, and combination estrogen-progesterone hormone replacement therapy all reduce the risk of endometrial cancer through the antiproliferative effect of progesterone acting on the endometrium.[<a class="bk_pop" href="#CDR0000062855_rl_1_90">90</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_93">93</a>]</p></div></div><div id="CDR0000062855__15"><h3>Autosomal Dominant Inheritance of Breast and Gynecologic Cancer Predisposition</h3><p id="CDR0000062855__16">Autosomal dominant inheritance of breast and gynecologic cancers is characterized by transmission of
|
||
cancer <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460153/" class="def">predisposition</a> from generation to generation, through either the mother’s or the father’s
|
||
side of the family, with the following characteristics:
|
||
</p><ul id="CDR0000062855__726"><li class="half_rhythm"><div>Inheritance risk of 50%. When a parent carries an autosomal dominant genetic predisposition, each child has a 50:50 chance of inheriting the predisposition. Although the risk of inheriting the predisposition is 50%, not everyone with the predisposition will develop cancer because of incomplete <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339344/" class="def">penetrance</a> and/or gender-restricted or gender-related expression.</div></li><li class="half_rhythm"><div>Both males and females can inherit and transmit an autosomal dominant
|
||
cancer predisposition. A male who
|
||
inherits a cancer predisposition can still
|
||
pass the altered gene on to his sons and daughters.
|
||
</div></li></ul><p id="CDR0000062855__1194">Breast and ovarian cancer are components of several autosomal dominant cancer syndromes. The syndromes most strongly associated with both cancers are the <i>BRCA1</i> or <i>BRCA2</i> mutation syndromes. Breast cancer is also a common feature of <a href="#CDR0000062855__144">Li-Fraumeni syndrome</a> due to <i>TP53</i> mutations and of <a href="#CDR0000062855__148">Cowden syndrome</a> due to <i>PTEN</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_1_94">94</a>] Other genetic syndromes that may include breast cancer as an associated feature include heterozygous carriers of the <a href="#CDR0000062855__1311">ataxia telangiectasia gene</a> and <a href="#CDR0000062855__2702">Peutz-Jeghers syndrome</a>. Ovarian cancer has also been associated with <a href="/books/n/pdqcis/CDR0000062863/#CDR0000062863__120">LS</a>, basal cell nevus (Gorlin) syndrome (<a href="/omim/109400" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>), and multiple endocrine neoplasia type 1 (<a href="/omim/131100" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>).[<a class="bk_pop" href="#CDR0000062855_rl_1_94">94</a>] LS is mainly associated with colorectal cancer and endometrial cancer, although several studies have demonstrated that patients with LS are also at risk of developing transitional cell carcinoma of the ureters and renal pelvis; cancers of the stomach, small intestine, liver and biliary tract, brain, breast, prostate, and adrenal cortex; and sebaceous skin tumors (Muir-Torre syndrome).[<a class="bk_pop" href="#CDR0000062855_rl_1_95">95</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_101">101</a>]</p><p id="CDR0000062855__2705"><a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460154/" class="def">Germline</a> mutations in the genes responsible for these autosomal dominant cancer syndromes produce different clinical <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460203/" class="def">phenotypes</a> of characteristic malignancies and, in some instances, associated nonmalignant abnormalities.</p><p id="CDR0000062855__20">The family characteristics that suggest hereditary cancer predisposition include the following:
|
||
</p><ul id="CDR0000062855__21"><li class="half_rhythm"><div>Multiple cancers within a family.</div></li><li class="half_rhythm"><div>Cancers typically occur at an earlier age than in
|
||
<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339347/" class="def">sporadic</a> cases (defined as cases not associated with genetic risk).
|
||
</div></li><li class="half_rhythm"><div>Two or more primary
|
||
cancers in a single individual. These could be multiple
|
||
primary cancers of the same type (e.g., bilateral breast cancer) or
|
||
primary cancer of different types (e.g., breast cancer and ovarian cancer in
|
||
the same individual or endometrial and colon cancer in the same individual).
|
||
</div></li><li class="half_rhythm"><div>Cases of male breast cancer. The inheritance risk for autosomal dominant genetic conditions is 50% for both males and females, but the differing penetrance of the genes may result in some <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460224/" class="def">unaffected</a> individuals in the family.</div></li></ul><p id="CDR0000062855__2584">Figure 1 and Figure 2 depict some of the classic inheritance features of a deleterious <i>BRCA1</i> and <i>BRCA2</i> mutation, respectively. Figure 3 depicts a classic family with LS. (Refer to the <a href="/books/n/pdqcis/CDR0000062865/#CDR0000062865__1237">Standard Pedigree Nomenclature</a> figure in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062865/">Cancer Genetics Risk Assessment and Counseling</a> for definitions of the standard symbols used in these <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000044868/" class="def">pedigrees</a>.)</p><div class="iconblock whole_rhythm clearfix ten_col fig" id="figCDR00000628552585" co-legend-rid="figlgndCDR00000628552585"><a href="/books/NBK65767.2/figure/CDR0000062855__2585/?report=objectonly" target="object" title="Figure" class="img_link icnblk_img figpopup" rid-figpopup="figCDR00000628552585" rid-ob="figobCDR00000628552585"><img class="small-thumb" src="/books/NBK65767.2/bin/CDR0000746227.gif" src-large="/books/NBK65767.2/bin/CDR0000746227.jpg" alt="Figure 1" /></a><div class="icnblk_cntnt" id="figlgndCDR00000628552585"><h4 id="CDR0000062855__2585"><a href="/books/NBK65767.2/figure/CDR0000062855__2585/?report=objectonly" target="object" rid-ob="figobCDR00000628552585">Figure</a></h4><p class="float-caption no_bottom_margin">Figure 1. <i>BRCA1</i> pedigree. This pedigree shows some of the classic features of a family with a deleterious <i>BRCA1</i> mutation across three generations, including affected family members with breast cancer or ovarian cancer and a young age at onset. <i>BRCA1</i> families <a href="/books/NBK65767.2/figure/CDR0000062855__2585/?report=objectonly" target="object" rid-ob="figobCDR00000628552585">(more...)</a></p></div></div><div class="iconblock whole_rhythm clearfix ten_col fig" id="figCDR00000628552586" co-legend-rid="figlgndCDR00000628552586"><a href="/books/NBK65767.2/figure/CDR0000062855__2586/?report=objectonly" target="object" title="Figure" class="img_link icnblk_img figpopup" rid-figpopup="figCDR00000628552586" rid-ob="figobCDR00000628552586"><img class="small-thumb" src="/books/NBK65767.2/bin/CDR0000746236.gif" src-large="/books/NBK65767.2/bin/CDR0000746236.jpg" alt="Figure 2" /></a><div class="icnblk_cntnt" id="figlgndCDR00000628552586"><h4 id="CDR0000062855__2586"><a href="/books/NBK65767.2/figure/CDR0000062855__2586/?report=objectonly" target="object" rid-ob="figobCDR00000628552586">Figure</a></h4><p class="float-caption no_bottom_margin">Figure 2. <i>BRCA2</i> pedigree. This pedigree shows some of the classic features of a family with a deleterious <i>BRCA2</i> mutation across three generations, including affected family members with breast (including male breast cancer), ovarian, pancreatic, or prostate <a href="/books/NBK65767.2/figure/CDR0000062855__2586/?report=objectonly" target="object" rid-ob="figobCDR00000628552586">(more...)</a></p></div></div><div class="iconblock whole_rhythm clearfix ten_col fig" id="figCDR00000628552748" co-legend-rid="figlgndCDR00000628552748"><a href="/books/NBK65767.2/figure/CDR0000062855__2748/?report=objectonly" target="object" title="Figure" class="img_link icnblk_img figpopup" rid-figpopup="figCDR00000628552748" rid-ob="figobCDR00000628552748"><img class="small-thumb" src="/books/NBK65767.2/bin/CDR0000766496.gif" src-large="/books/NBK65767.2/bin/CDR0000766496.jpg" alt="Figure 3" /></a><div class="icnblk_cntnt" id="figlgndCDR00000628552748"><h4 id="CDR0000062855__2748"><a href="/books/NBK65767.2/figure/CDR0000062855__2748/?report=objectonly" target="object" rid-ob="figobCDR00000628552748">Figure</a></h4><p class="float-caption no_bottom_margin">Figure 3. Lynch syndrome pedigree. This pedigree shows some of the classic features of a family with Lynch syndrome, including affected family members with colon cancer or endometrial cancer and a younger age at onset in some individuals. Lynch syndrome <a href="/books/NBK65767.2/figure/CDR0000062855__2748/?report=objectonly" target="object" rid-ob="figobCDR00000628552748">(more...)</a></p></div></div><p id="CDR0000062855__789">There are no pathognomonic features distinguishing breast and ovarian cancers occurring in <i>BRCA1</i> or <i>BRCA2</i> mutation carriers from those occurring in <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556483/" class="def">noncarriers</a>. Breast cancers occurring in <i>BRCA1</i> mutation carriers are more likely to be ER-negative, progesterone receptor–negative, HER2/neu receptor–negative (i.e., triple-negative breast cancers), and have a basal phenotype. <i>BRCA1</i>-associated ovarian cancers are more likely to be high-grade and of serous histopathology. (Refer to the <a href="#CDR0000062855__136">Pathology of breast cancer</a> and <a href="#CDR0000062855__408">Pathology of ovarian cancer</a> sections of this summary for more information.)</p><p id="CDR0000062855__2706">Some pathologic features distinguish LS mutation carriers from noncarriers. The hallmark feature of endometrial cancers occurring in LS is mismatch repair (MMR) defects, including the presence of microsatellite instability (MSI), and the absence of specific MMR proteins. In addition to these molecular changes, there are also histologic changes including tumor-infiltrating lymphocytes, peritumoral lymphocytes, undifferentiated tumor histology, lower uterine segment origin, and synchronous tumors. </p></div><div id="CDR0000062855__22"><h3>Considerations in Risk Assessment and in Identifying a Family History of Breast and Ovarian Cancer Risk</h3><p id="CDR0000062855__23">The accuracy and completeness of family histories must be taken into account when they are used to assess risk. A reported family history may be erroneous, or a person may be unaware of relatives affected with cancer. In
|
||
addition, small family sizes and premature deaths may limit the information
|
||
obtained from a family history. Breast or ovarian cancer on the
|
||
paternal side of the family usually involves more distant relatives than does breast or ovarian cancer on the
|
||
maternal side, so information may be more difficult to obtain.
|
||
When self-reported information is compared with independently verified cases, the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000322883/" class="def">sensitivity</a> of a history of breast cancer is relatively high, at 83% to 97%, but lower for ovarian cancer, at 60%.[<a class="bk_pop" href="#CDR0000062855_rl_1_102">102</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_103">103</a>] Additional limitations of relying on family histories include adoption; families with a small number of women; limited access to family history information; and incidental removal of the uterus, ovaries, and/or fallopian tubes for noncancer indications. Family histories will evolve, therefore it is important to update family histories from both parents over time. (Refer to the <a href="/books/n/pdqcis/CDR0000062865/#CDR0000062865__340">Accuracy of the family history</a> section in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062865/">Cancer Genetics Risk Assessment and Counseling</a> for more information.)</p></div><div id="CDR0000062855__66"><h3>Models for Prediction of Breast and Gynecologic Cancer Risk</h3><p id="CDR0000062855__634">Models to predict an individual’s lifetime risk of developing breast and/or gynecologic cancer are available.[<a class="bk_pop" href="#CDR0000062855_rl_1_104">104</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_107">107</a>] In addition, models exist to predict an individual’s likelihood of having a mutation in <i>BRCA1</i>, <i>BRCA2</i>, or one of the MMR genes associated with LS. (Refer to the <a href="#CDR0000062855__2264">Models for prediction of the likelihood of a BRCA1 or BRCA2 mutation </a> section of this summary for more information about some of these models.) Not all models can be appropriately applied to all patients. Each model is appropriate only when the patient’s characteristics and family history are similar to those of the study population on which the model was based. Different models may provide widely varying risk estimates for the same clinical scenario, and the validation of these estimates has not been performed for many models.[<a class="bk_pop" href="#CDR0000062855_rl_1_105">105</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_108">108</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_109">109</a>] </p><div id="CDR0000062855__2824"><h4>Breast cancer risk assessment models</h4><p id="CDR0000062855__2737">In general, breast cancer risk assessment models are designed for two types of populations: 1) women without a <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460208/" class="def">predisposing mutation</a> or strong family history of breast or ovarian cancer; and 2) women at higher risk because of a personal or family history of breast cancer or ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_109">109</a>] Models designed for women of the first type (e.g., the Gail model, which is the basis for the Breast Cancer Risk Assessment
|
||
Tool [BCRAT]) [<a class="bk_pop" href="#CDR0000062855_rl_1_110">110</a>], and the Colditz and Rosner model [<a class="bk_pop" href="#CDR0000062855_rl_1_111">111</a>]) require only limited information about family history (e.g., number of first-degree relatives with breast cancer). Models designed for women at higher risk require more detailed information about personal and family cancer history of breast and ovarian cancers, including ages at onset of cancer and/or carrier status of specific breast cancer-susceptibility <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339337/" class="def">alleles</a>. The genetic factors used by the latter models differ, with some assuming one risk <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460162/" class="def">locus</a> (e.g., the Claus model [<a class="bk_pop" href="#CDR0000062855_rl_1_112">112</a>]), others assuming two loci (e.g., the International Breast Cancer Intervention Study [IBIS] model [<a class="bk_pop" href="#CDR0000062855_rl_1_113">113</a>] and the BRCAPRO model [<a class="bk_pop" href="#CDR0000062855_rl_1_114">114</a>]), and still others assuming an additional polygenic component in addition to multiple loci (e.g., the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm [BOADICEA] model [<a class="bk_pop" href="#CDR0000062855_rl_1_115">115</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_117">117</a>]). The models also differ in whether they include information about nongenetic risk factors. Three models (Gail/BCRAT, Pfeiffer,[<a class="bk_pop" href="#CDR0000062855_rl_1_107">107</a>] and IBIS) include nongenetic risk factors but differ in the risk factors they include (e.g., the Pfeiffer model includes alcohol consumption, whereas the Gail/BCRAT does not). These models have limited ability to discriminate between individuals who are affected and those who are unaffected with cancer; a model with high discrimination would be close to 1, and a model with little discrimination would be close to 0.5; the discrimination of the models currently ranges between 0.56 and 0.63).[<a class="bk_pop" href="#CDR0000062855_rl_1_118">118</a>]
|
||
The existing models generally are more accurate in prospective studies that have assessed how well they predict future cancers.[<a class="bk_pop" href="#CDR0000062855_rl_1_109">109</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_119">119</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_121">121</a>]</p><p id="CDR0000062855__635">In the United States, BRCAPRO, the Claus model,[<a class="bk_pop" href="#CDR0000062855_rl_1_112">112</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_122">122</a>] and the Gail/BCRAT [<a class="bk_pop" href="#CDR0000062855_rl_1_110">110</a>] are widely used in clinical <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000044961/" class="def">counseling</a>. Risk estimates derived from the models differ for an individual patient. Several other models that include more detailed family history information are also in use and are discussed below.</p><div id="CDR0000062855__2825"><h5>Additional considerations for clinical use of breast cancer risk assessment models</h5><p id="CDR0000062855__640">The Gail model is the basis for the <a href="http://www.cancer.gov/bcrisktool/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">BCRAT</a>, a computer program available from the National Cancer Institute (NCI) by calling the Cancer Information Service at 1-800-4-CANCER (1-800-422-6237). This version of the Gail model estimates only the risk of invasive breast cancer. The Gail/BCRAT model has been found to be reasonably accurate at predicting breast cancer risk in large groups of white women who undergo annual screening mammography; however, reliability varies depending on the cohort studied.[<a class="bk_pop" href="#CDR0000062855_rl_1_123">123</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_128">128</a>] Risk can be overestimated in the following populations:</p><ul id="CDR0000062855__641"><li class="half_rhythm"><div>Women who do not adhere to screening recommendations.[<a class="bk_pop" href="#CDR0000062855_rl_1_123">123</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_124">124</a>]</div></li><li class="half_rhythm"><div>Women in the highest-risk strata.[<a class="bk_pop" href="#CDR0000062855_rl_1_126">126</a>]</div></li></ul><p id="CDR0000062855__2826">The Gail/BCRAT model is valid for women aged 35 years and older. The model was primarily developed for white women.[<a class="bk_pop" href="#CDR0000062855_rl_1_127">127</a>] Extensions of the Gail model for African American women have been subsequently developed to calibrate risk estimates using data from more than 1,600 African American women with invasive breast cancer and more than 1,600 controls.[<a class="bk_pop" href="#CDR0000062855_rl_1_129">129</a>] Additionally, extensions of the Gail model have incorporated high-risk <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000458046/" class="def">single nucleotide polymorphisms</a> and mutations; however, no software exists to calculate risk in these extended models.[<a class="bk_pop" href="#CDR0000062855_rl_1_130">130</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_131">131</a>] Other risk assessment models incorporating breast density have been developed but are not ready for clinical use.[<a class="bk_pop" href="#CDR0000062855_rl_1_132">132</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_133">133</a>]</p><p id="CDR0000062855__2827">Generally, the Gail/BCRAT model should not be the sole model used for families with one or more of the following characteristics:</p><ul id="CDR0000062855__2828"><li class="half_rhythm"><div>Multiple affected individuals with breast cancer or ovarian cancer (especially when one or more breast cancers are diagnosed before age 50 years).</div></li><li class="half_rhythm"><div>A woman with both breast and ovarian cancer.</div></li><li class="half_rhythm"><div>Ashkenazi Jewish ancestry with at least one case of breast or ovarian cancer (as these families are more likely to have a hereditary cancer susceptibility syndrome).</div></li></ul><p id="CDR0000062855__2829">Commonly used models that incorporate family history include the IBIS, BOADICEA, and BRCAPRO models. The IBIS/Tyrer-Cuzick model incorporates both genetic and nongenetic factors.[<a class="bk_pop" href="#CDR0000062855_rl_1_113">113</a>] A three-generation pedigree is used to estimate the likelihood that an individual carries either a <i>BRCA1/BRCA2</i> mutation or a hypothetical low-penetrance gene. In addition, the model incorporates personal risk factors such as parity, body mass index (BMI); height; and age at menarche, first live birth, menopause, and HRT use. Both genetic and nongenetic factors are combined to develop a risk estimate. The BOADICEA model examines family history to estimate breast cancer risk and also incorporates both <i>BRCA1/BRCA2</i> and non-<i>BRCA1/BRCA2</i> genetic risk factors.[<a class="bk_pop" href="#CDR0000062855_rl_1_116">116</a>] The most important difference between BOADICEA and the other models using information on <i>BRCA1/BRCA2</i> is that BOADICEA assumes an additional polygenic component in addition to multiple loci,[<a class="bk_pop" href="#CDR0000062855_rl_1_115">115</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_117">117</a>] which is more in line with what is known about the underlying genetics of breast cancer. However, the discrimination and calibration for these models differ significantly when compared in independent samples;[<a class="bk_pop" href="#CDR0000062855_rl_1_119">119</a>] the IBIS and BOADICEA models are more comparable when estimating risk over a shorter fixed time horizon (e.g., 10 years),[<a class="bk_pop" href="#CDR0000062855_rl_1_119">119</a>] than when estimating remaining lifetime risk. As all risk assessment models for cancers are typically validated over a shorter time horizon (e.g., 5 or 10 years), fixed time horizon estimates rather than remaining lifetime risk may be more accurate and useful measures to convey in a clinical setting.</p><p id="CDR0000062855__2830">In addition, readily available models that provide information about an individual woman’s risk in relation to the population-level risk depending on her risk factors may be useful in a clinical setting (e.g., <a href="http://www.yourdiseaserisk.wustl.edu/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Your Disease Risk</a>). Although this tool was developed using information about average-risk women and does not calculate absolute risk estimates, it still may be useful when counseling women about prevention. Risk assessment models are being developed and validated in large cohorts to integrate genetic and nongenetic data, breast density, and other biomarkers.</p></div></div><div id="CDR0000062855__2831"><h4>Ovarian cancer risk assessment models</h4><p id="CDR0000062855__2758">Two risk predictions models have been developed for ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_106">106</a>,<a class="bk_pop" href="#CDR0000062855_rl_1_107">107</a>]
|
||
The Rosner model [<a class="bk_pop" href="#CDR0000062855_rl_1_106">106</a>]
|
||
included age at menopause, age at menarche, oral contraception use, and tubal ligation; the concordance statistic was 0.60 (0.57–0.62). The Pfeiffer model [<a class="bk_pop" href="#CDR0000062855_rl_1_107">107</a>]
|
||
included oral contraceptive use, menopausal hormone therapy use, and family history of breast cancer or ovarian cancer, with a similar discriminatory power of 0.59 (0.56–0.62). Although both models were well calibrated,their modest discriminatory power limited their screening potential. </p></div><div id="CDR0000062855__2832"><h4>Endometrial cancer risk assessment models</h4><p id="CDR0000062855__2777">The Pfeiffer model has been used to predict endometrial cancer risk in thegeneral population.[<a class="bk_pop" href="#CDR0000062855_rl_1_107">107</a>] For endometrial cancer, the relative risk model included BMI, menopausal hormone therapy use, menopausal status, age at menopause, smoking status, and oral contraceptive pill use. The discriminatory power of the model was 0.68 (0.66–0.70); it overestimated observed endometrial cancers in most subgroups but underestimated disease in women with the highest BMI category, in premenopausal women, and in women taking menopausal hormone therapy for 10 years or more.</p><p id="CDR0000062855__2778">In contrast, MMRpredict, PREMM<sub>1,2,6</sub>, and MMRpro are three quantitative predictive models used to identify individuals who may potentially have LS.[<a class="bk_pop" href="#CDR0000062855_rl_1_134">134</a>-<a class="bk_pop" href="#CDR0000062855_rl_1_136">136</a>] MMRpredict incorporates only colorectal cancer patients but does include MSI and immunohistochemistry (IHC) tumor testing results. PREMM<sub>1,2,6</sub> accounts for other LS-associated tumors but does not include tumor testing results. MMRpro incorporates tumor testing and germline testing results, but is more time intensive because it includes affected and unaffected individuals in the risk-quantification process. All three predictive models are comparable to the traditional Amsterdam and Bethesda criteria in identifying individuals with colorectal cancer who carry MMR mutations.[<a class="bk_pop" href="#CDR0000062855_rl_1_137">137</a>]
|
||
However, because these models were developed and validated in colorectal cancer patients, the discriminative abilities of these models to identify LS are lower among individuals with endometrial cancer than among those with colon cancer.[<a class="bk_pop" href="#CDR0000062855_rl_1_138">138</a>]
|
||
In fact, the sensitivity and specificity of MSI and IHC in identifying mutation carriers are considerably higher than the prediction models and support the use of molecular tumor testing to screen for LS in women with endometrial cancer.</p><p id="CDR0000062855__2738">Table 1 summarizes salient aspects of breast and gynecologic cancer risk assessment models that are commonly used in the clinical setting. These models differ by the extent of family history included, whether nongenetic risk factors are included, and whether carrier status and polygenic risk are included (inputs to the models). The models also differ in the type of risk estimates that are generated (outputs of the models). These factors may be relevant in choosing the model that best applies to a particular individual.</p><div id="CDR0000062855__2836" class="table"><h3><span class="title">Table 1. Summary of Prediction Models Used to Calculate Age-Specific Absolute Risks of Breast and Gynecologic Cancers</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2836/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2836_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Model </th><th colspan="1" rowspan="1" style="vertical-align:top;">Family History (input) </th><th colspan="1" rowspan="1" style="vertical-align:top;">Mutations (input) </th><th colspan="1" rowspan="1" style="vertical-align:top;">Risk Factors (input) </th><th colspan="1" rowspan="1" style="vertical-align:top;">Risk Estimate Generated (output)</th></tr></thead><tbody><tr><td colspan="5" rowspan="1" style="vertical-align:top;"><b>Breast Cancer Risk Assessment Models</b></td></tr><tr><td colspan="5" rowspan="1" style="text-align:left;vertical-align:top;"><i>Models for Average-Risk Women</i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="http://www.cancer.gov/bcrisktool/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Gail<wbr style="display:inline-block"></wbr>/BCRAT</a>
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">First-degree relatives (breast cancer)</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Yes</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast cancer</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Pfeiffer (breast) [<a class="bk_pop" href="#CDR0000062855_rl_1_107">107</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">First-degree relatives (breast, ovarian cancers)</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Yes</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast cancer</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Colditz and Rosner [<a class="bk_pop" href="#CDR0000062855_rl_1_111">111</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">None</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Yes</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast cancer</td></tr><tr><td colspan="5" rowspan="1" style="text-align:left;vertical-align:top;"><i>Models for High-Risk Women<sup>a</sup></i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Claus [<a class="bk_pop" href="#CDR0000062855_rl_1_112">112</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Multigenerational (breast cancer)</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast cancer </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="http://bcb.dfci.harvard.edu/BayesMendel/brcapro.php" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">BRCAPRO</a>
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">Multigenerational (breast, ovarian cancers)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1/2</i>
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast cancer; % risk of carrying <i>BRCA1/2</i> mutation</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="http://www.ems-trials.org/riskevaluator/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">IBIS</a>
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">Multigenerational (ovarian cancer)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1/2</i>
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">Yes</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast cancer; % risk of carrying <i>BRCA1/2</i> mutation</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="http://ccge.medschl.cam.ac.uk/boadicea/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">BOADICEA</a><sup>b</sup>
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">Multigenerational (pancreatic, breast, ovarian cancers)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1/2</i>
|
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast and ovarian cancer; % risk of carrying <i>BRCA1/2</i> mutation</td></tr><tr><td colspan="5" rowspan="1" style="vertical-align:top;"><b>Ovarian Cancer Risk Assessment Models</b></td></tr><tr><td colspan="5" rowspan="1" style="text-align:left;vertical-align:top;"><i>Models for Average-Risk Women</i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Rosner [<a class="bk_pop" href="#CDR0000062855_rl_1_106">106</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">None
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Yes</td><td colspan="1" rowspan="1" style="vertical-align:top;">Ovarian cancer </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Pfeiffer (ovarian) [<a class="bk_pop" href="#CDR0000062855_rl_1_107">107</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">First-degree relatives (breast, ovarian cancers)</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Yes</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast cancer </td></tr><tr><td colspan="5" rowspan="1" style="text-align:left;vertical-align:top;"><i>Models for High-Risk Women<sup>a</sup>
|
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</i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="http://ccge.medschl.cam.ac.uk/boadicea/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">BOADICEA</a><sup>b</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">Multigenerational (pancreatic, breast, ovarian cancers)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1/2</i>
|
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Breast and ovarian cancer; % risk of carrying <i>BRCA1/2</i> mutation</td></tr><tr><td colspan="5" rowspan="1" style="vertical-align:top;"><b>Endometrial Cancer Risk Assessment Models</b></td></tr><tr><td colspan="5" rowspan="1" style="text-align:left;vertical-align:top;"><i>Models for Average-Risk Women</i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Pfeiffer
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(endometrial) [<a class="bk_pop" href="#CDR0000062855_rl_1_107">107</a>]
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">None</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">Yes</td><td colspan="1" rowspan="1" style="vertical-align:top;">Endometrial cancer</td></tr><tr><td colspan="5" rowspan="1" style="text-align:left;vertical-align:top;"><i>Models for High-Risk Women<sup>a</sup></i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="http://premm.dfci.harvard.edu/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">PREMM(1,2,6)</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">Multigenerational (colon, endometrial and other Lynch syndrome–associated cancers and polyps)</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">% risk of carrying <i>MLH1</i>, <i>MSH2</i>, <i>MSH6</i> mutation</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="http://bcb.dfci.harvard.edu/bayesmendel/mmrpro.php" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">MMRpro</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">Multigenerational (colon, endometrial cancers)</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">% risk of carrying <i>MLH1</i>, <i>MSH2</i>, <i>MSH6</i> mutation</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">MMRpredict [<a class="bk_pop" href="#CDR0000062855_rl_1_134">134</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Multigenerational (colon, endometrial cancers)</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">No</td><td colspan="1" rowspan="1" style="vertical-align:top;">% risk of carrying <i>MLH1</i>, <i>MSH2</i>, <i>MSH6</i> mutation</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">Refer to <a href="http://epi.grants.cancer.gov/cancer_risk_prediction/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">NCI’s Cancer Risk Prediction and Assessment</a> website for more information about available models.</p></div></dd><dt></dt><dd><div><p class="no_margin">BCRAT = Breast Cancer Risk Assessment Tool; BOADICEA = Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm; IBIS = International Breast Cancer Intervention Study.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>a</sup>High risk is defined as those with a personal or family history of the appropriate cancer type.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>b</sup>Takes into account polygenes as an underlying assumption of the model.</p></div></dd></dl></div></div></div></div></div><div id="CDR0000062855_rl_1"><h3>References</h3><ol><li><div class="bk_ref" id="CDR0000062855_rl_1_1">American Cancer Society: Cancer Facts and Figures 2015. 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[<a href="https://pubmed.ncbi.nlm.nih.gov/10491430" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 10491430</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_127">Bondy ML, Newman LA: Breast cancer risk assessment models: applicability to African-American women. Cancer 97 (1 Suppl): 230-5, 2003. [<a href="https://pubmed.ncbi.nlm.nih.gov/12491486" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 12491486</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_128">Schonfeld SJ, Pee D, Greenlee RT, et al.: Effect of changing breast cancer incidence rates on the calibration of the Gail model. J Clin Oncol 28 (14): 2411-7, 2010. [<a href="/pmc/articles/PMC2881722/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2881722</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/20368565" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 20368565</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_129">Gail MH, Costantino JP, Pee D, et al.: Projecting individualized absolute invasive breast cancer risk in African American women. J Natl Cancer Inst 99 (23): 1782-92, 2007. [<a href="https://pubmed.ncbi.nlm.nih.gov/18042936" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 18042936</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_130">Gail MH: Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk. J Natl Cancer Inst 100 (14): 1037-41, 2008. [<a href="/pmc/articles/PMC2528005/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2528005</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/18612136" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 18612136</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_131">Gail MH: Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk model. J Natl Cancer Inst 101 (13): 959-63, 2009. [<a href="/pmc/articles/PMC2704229/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2704229</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/19535781" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19535781</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_132">Barlow WE, White E, Ballard-Barbash R, et al.: Prospective breast cancer risk prediction model for women undergoing screening mammography. J Natl Cancer Inst 98 (17): 1204-14, 2006. [<a href="https://pubmed.ncbi.nlm.nih.gov/16954473" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16954473</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_133">Tice JA, Cummings SR, Ziv E, et al.: Mammographic breast density and the Gail model for breast cancer risk prediction in a screening population. Breast Cancer Res Treat 94 (2): 115-22, 2005. [<a href="https://pubmed.ncbi.nlm.nih.gov/16261410" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16261410</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_134">Barnetson RA, Tenesa A, Farrington SM, et al.: Identification and survival of carriers of mutations in DNA mismatch-repair genes in colon cancer. N Engl J Med 354 (26): 2751-63, 2006. [<a href="https://pubmed.ncbi.nlm.nih.gov/16807412" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16807412</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_135">Kastrinos F, Steyerberg EW, Mercado R, et al.: The PREMM(1,2,6) model predicts risk of MLH1, MSH2, and MSH6 germline mutations based on cancer history. Gastroenterology 140 (1): 73-81, 2011. [<a href="/pmc/articles/PMC3125673/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3125673</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/20727894" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 20727894</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_136">Chen S, Wang W, Lee S, et al.: Prediction of germline mutations and cancer risk in the Lynch syndrome. JAMA 296 (12): 1479-87, 2006. [<a href="/pmc/articles/PMC2538673/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2538673</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/17003396" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 17003396</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_137">Khan O, Blanco A, Conrad P, et al.: Performance of Lynch syndrome predictive models in a multi-center US referral population. Am J Gastroenterol 106 (10): 1822-7; quiz 1828, 2011. [<a href="/pmc/articles/PMC3804147/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3804147</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/21747416" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21747416</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_1_138">Mercado RC, Hampel H, Kastrinos F, et al.: Performance of PREMM(1,2,6), MMRpredict, and MMRpro in detecting Lynch syndrome among endometrial cancer cases. Genet Med 14 (7): 670-80, 2012. [<a href="/pmc/articles/PMC3396560/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3396560</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/22402756" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 22402756</span></a>]</div></li></ol></div></div><div id="CDR0000062855__88"><h2 id="_CDR0000062855__88_">High-Penetrance Breast and/or Gynecologic Cancer Susceptibility Genes</h2><div id="CDR0000062855__2503"><h3><i>BRCA1</i> and <i>BRCA2</i></h3><div id="CDR0000062855__2532"><h4>Introduction</h4><p id="CDR0000062855__2533">Epidemiologic studies have clearly established the role of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000302456/" class="def">family history</a> as an
|
||
important risk factor for both breast and ovarian cancer. After gender and
|
||
age, a positive family history is the strongest known predictive risk factor
|
||
for breast cancer. However, it has long been recognized that in some families, there is hereditary breast cancer, which is characterized by an early age of onset, bilaterality, and the presence of breast cancer in multiple generations in an apparent <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339338/" class="def">autosomal dominant</a> pattern of transmission (through either the maternal or the paternal lineage), sometimes including tumors of other organs, particularly the ovary and prostate gland.[<a class="bk_pop" href="#CDR0000062855_rl_88_1">1</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_2">2</a>] It is now known that some of these “cancer families” can
|
||
be explained by specific <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000046063/" class="def">mutations</a> in single cancer <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460209/" class="def">susceptibility genes</a>. The
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||
isolation of several of these <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000045693/" class="def">genes</a>, which when mutated are associated with a significantly
|
||
increased risk of breast/ovarian cancer, makes it possible to identify individuals at risk. Although such cancer susceptibility genes are very important, highly penetrant <a href="/books/n/pdqcis/glossary/def-item/glossary_CDR0000046384/" class="def">germline mutations</a> are estimated to account for only 5% to 10% of breast cancers overall.
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||
</p><p id="CDR0000062855__2534">A 1988 study reported the first quantitative evidence that breast cancer
|
||
segregated as an autosomal dominant trait in some families.[<a class="bk_pop" href="#CDR0000062855_rl_88_3">3</a>] The search for genes associated with hereditary susceptibility to breast cancer
|
||
has been facilitated by studies of large <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460158/" class="def">kindreds</a> with multiple affected
|
||
individuals and has led to the identification of several susceptibility genes,
|
||
including <i>BRCA1</i>, <i>BRCA2</i>, <i>TP53</i>, <i>PTEN/MMAC1</i>, and <i>STK11</i>.
|
||
Other genes, such as the mismatch repair genes <i>MLH1</i>, <i>MSH2</i>, <i>MSH6</i>, and <i>PMS2</i>, have been associated with an increased risk of ovarian cancer, but have not been consistently associated with breast cancer.</p></div><div id="CDR0000062855__95"><h4><i>BRCA1</i></h4><p id="CDR0000062855__96">In 1990, a susceptibility gene for breast cancer was mapped by genetic <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460161/" class="def">linkage</a>
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||
to the long arm of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000046470/" class="def">chromosome</a> 17, in the interval 17q12-21.[<a class="bk_pop" href="#CDR0000062855_rl_88_4">4</a>] The linkage
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||
between breast cancer and <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000046129/" class="def">genetic markers</a> on chromosome 17q was soon confirmed
|
||
by others, and evidence for the coincident transmission of both breast and
|
||
ovarian cancer susceptibility in linked families was observed.[<a class="bk_pop" href="#CDR0000062855_rl_88_5">5</a>] The <i>BRCA1</i>
|
||
gene (<a href="/omim/113705" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>) was subsequently identified by positional <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460134/" class="def">cloning</a> methods and has been
|
||
found to contain 24 <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460146/" class="def">exons</a> that encode a protein of 1,863 amino acids.
|
||
Germline mutations in <i>BRCA1</i> are associated with early-onset breast cancer, ovarian cancer, and fallopian tube cancer. (Refer to the <a href="#CDR0000062855__117">Penetrance of mutations</a> section of this summary for more information.) Male breast cancer, pancreatic cancer, testicular cancer, and early-onset prostate cancer may also be associated with mutations in <i>BRCA1</i>;[<a class="bk_pop" href="#CDR0000062855_rl_88_6">6</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_9">9</a>] however, male breast cancer, pancreatic cancer, and prostate cancer are more strongly associated with mutations in <i>BRCA2</i>.</p></div><div id="CDR0000062855__97"><h4><i>BRCA2</i></h4><p id="CDR0000062855__98">A second breast cancer susceptibility gene, <i>BRCA2</i>, was localized to the long
|
||
arm of chromosome 13 through <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000425374/" class="def">linkage studies</a> of 15 families with multiple cases
|
||
of breast cancer that were not linked to <i>BRCA1</i>. Mutations in <i>BRCA2</i> (<a href="/omim/600185" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>) are associated with multiple cases of breast cancer in families, and
|
||
are also associated with male breast cancer, ovarian cancer, prostate cancer,
|
||
melanoma, and pancreatic cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_8">8</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_14">14</a>] (Refer to the <a href="#CDR0000062855__117">Penetrance of mutations</a> section of this summary for more information.) <i>BRCA2</i> is a large gene with 27 exons that
|
||
encode a protein of 3,418 amino acids.[<a class="bk_pop" href="#CDR0000062855_rl_88_15">15</a>] While not homologous genes, both
|
||
<i>BRCA1</i> and <i>BRCA2</i> have an unusually large exon 11 and translational start sites
|
||
in exon 2. Like <i>BRCA1</i>, <i>BRCA2</i> appears to behave like a tumor suppressor gene. In tumors associated with both <i>BRCA1</i> and <i>BRCA2</i> mutations, there is often loss of the wild-type (nonmutated) <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339337/" class="def">allele</a>.</p><p id="CDR0000062855__1316">Mutations in <i>BRCA1</i> and <i>BRCA2</i> appear to be responsible for disease in 45% of families with multiple cases of breast cancer only and in up to 90% of families with both breast and ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_16">16</a>]</p></div><div id="CDR0000062855__99"><h4><i>BRCA1</i> and <i>BRCA2</i> function</h4><p id="CDR0000062855__100">Most <i>BRCA1</i> and <i>BRCA2</i> mutations are predicted to produce a truncated protein product, and thus loss of protein function, although some <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460164/" class="def">missense mutations</a> cause loss of function without truncation. Because inherited breast/ovarian cancer is an autosomal dominant condition, persons with a <i>BRCA1</i> or <i>BRCA2</i> mutation on one copy of chromosome 17 or 13 also carry a normal allele on the other paired chromosome.
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||
In most breast and ovarian cancers that have been studied from mutation carriers, <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460141/" class="def">deletion</a> of the
|
||
normal allele results in loss of all function, leading to the classification of <i>BRCA1</i> and <i>BRCA2</i> as tumor suppressor genes. In addition to, and as part of, their roles as tumor suppressor genes, <i>BRCA1</i> and <i>BRCA2</i> are involved in myriad functions within cells, including homologous <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000045671/" class="def">DNA</a> repair, genomic stability, transcriptional regulation, protein ubiquitination, chromatin remodeling, and cell cycle control.[<a class="bk_pop" href="#CDR0000062855_rl_88_17">17</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_18">18</a>]</p></div><div id="CDR0000062855__110"><h4>Mutations in <i>BRCA1</i> and <i>BRCA2</i></h4><p id="CDR0000062855__111">Nearly 2,000 distinct mutations and sequence variations in <i>BRCA1</i> and <i>BRCA2</i> have
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||
already been described.[<a class="bk_pop" href="#CDR0000062855_rl_88_19">19</a>] Approximately 1 in 400 to 800 individuals in the general population may carry a
|
||
pathogenic germline mutation in <i>BRCA1</i> or <i>BRCA2</i>.[<a class="bk_pop" href="#CDR0000062855_rl_88_20">20</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_21">21</a>] The mutations that have been associated with
|
||
increased risk of cancer result in missing or nonfunctional proteins,
|
||
supporting the hypothesis that <i>BRCA1</i> and <i>BRCA2</i> are tumor suppressor genes.
|
||
While a small number of these mutations have been found repeatedly in unrelated
|
||
families, most have not been reported in more than a few families.
|
||
</p><p id="CDR0000062855__112">Mutation-screening methods vary in their <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000322883/" class="def">sensitivity</a>. Methods widely used in
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||
research laboratories, such as <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460217/" class="def">single-stranded conformational polymorphism</a>
|
||
analysis and <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460136/" class="def">conformation-sensitive gel electrophoresis</a>, miss nearly a
|
||
third of the mutations that are detected by DNA sequencing.[<a class="bk_pop" href="#CDR0000062855_rl_88_22">22</a>] In addition,
|
||
large genomic alterations such as <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000470251/" class="def">translocations</a>, <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000712691/" class="def">inversions</a>, or large deletions or insertions are missed by most of the techniques, including
|
||
direct DNA sequencing, but testing for these is commercially available. Such
|
||
rearrangements are believed to be responsible for 12% to 18% of <i>BRCA1</i>
|
||
inactivating mutations but are less frequently seen in <i>BRCA2</i> and in individuals of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460127/" class="def">Ashkenazi Jewish</a> (AJ) descent.[<a class="bk_pop" href="#CDR0000062855_rl_88_23">23</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_29">29</a>] Furthermore, studies have suggested that these rearrangements may be more frequently seen in Hispanic and Caribbean populations.[<a class="bk_pop" href="#CDR0000062855_rl_88_27">27</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_29">29</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_30">30</a>]</p><div id="CDR0000062855__1195"><h5>Variants of uncertain significance</h5><p id="CDR0000062855__1196"><a href="/books/n/pdqcis/glossary/def-item/glossary_CDR0000046384/" class="def">Germline</a>
|
||
<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556486/" class="def">deleterious mutations</a> in the <i>BRCA1/BRCA2</i> genes are associated with an approximately 60% lifetime risk of breast cancer and a 15% to 40% lifetime risk of ovarian cancer. There are no definitive functional tests for <i>BRCA1</i> or <i>BRCA2</i>; therefore, the classification of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460201/" class="def">nucleotide</a> changes to predict their functional impact as deleterious or benign relies on imperfect data. The majority of accepted deleterious mutations result in protein truncation and/or loss of important functional domains. However, 10% to 15% of all individuals undergoing genetic testing with full sequencing of <i>BRCA1</i> and <i>BRCA2</i> will not have a clearly deleterious mutation detected but will have a <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556495/" class="def">variant of uncertain (or unknown) significance</a> (VUS). VUS may cause substantial challenges in counseling, particularly in terms of cancer risk estimates and risk management. Clinical management of such patients needs to be highly individualized and must take into consideration factors such as the patient’s personal and family cancer history, in addition to sources of information to help characterize the VUS as benign or deleterious. Thus an improved classification and reporting system may be of clinical utility.[<a class="bk_pop" href="#CDR0000062855_rl_88_31">31</a>]</p><p id="CDR0000062855__1197"> A comprehensive analysis of 7,461 consecutive full gene sequence analyses performed by Myriad Genetic Laboratories, Inc., described the frequency of VUS over a 3-year period.[<a class="bk_pop" href="#CDR0000062855_rl_88_32">32</a>] Among subjects who had no clearly deleterious mutation, 13% had VUS defined as “missense mutations and mutations that occur in analyzed intronic regions whose clinical significance has not yet been determined, chain-terminating mutations that truncate BRCA1 and BRCA2 distal to amino acid positions 1853 and 3308, respectively, and mutations that eliminate the normal stop codons for these proteins.” The classification of a sequence variant as a VUS is a moving target. An additional 6.8% of subjects with no clear deleterious mutations had sequence alterations that were once considered VUS but were reclassified as a <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000044805/" class="def">polymorphism</a>, or occasionally as a deleterious mutation. </p><p id="CDR0000062855__2634">The frequency of VUS varies by ethnicity within the U.S. population. African Americans appear to have the highest rate of VUS.[<a class="bk_pop" href="#CDR0000062855_rl_88_33">33</a>] In a 2009 study of data from Myriad, 16.5% of individuals of African ancestry had VUS, the highest rate among all ethnicities. The frequency of VUS in Asian, Middle Eastern, and Hispanic populations clusters between 10% and 14%, although these numbers are based on limited sample sizes. Over time, the rate of changes classified as VUS has decreased in all ethnicities, largely the result of improved mutation classification algorithms.[<a class="bk_pop" href="#CDR0000062855_rl_88_34">34</a>] VUS continue to be reclassified as additional information is curated and interpreted.[<a class="bk_pop" href="#CDR0000062855_rl_88_35">35</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_36">36</a>] Such information may impact the continuing care of affected individuals.</p><p id="CDR0000062855__1198">A number of methods for discriminating deleterious from neutral VUS exist and others are in development [<a class="bk_pop" href="#CDR0000062855_rl_88_37">37</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_40">40</a>] including integrated methods (see below).[<a class="bk_pop" href="#CDR0000062855_rl_88_41">41</a>] Interpretation of VUS is greatly aided by efforts to track VUS in the family to determine if there is <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460139/" class="def">cosegregation</a> of the VUS with the cancer in the family. In general, a VUS observed in individuals who also have a deleterious mutation, especially when the same VUS has been identified in conjunction with different deleterious mutations, is less likely to be in itself deleterious, although there are rare exceptions. As an adjunct to the clinical information, models to interpret VUS have been developed, based on sequence conservation, biochemical properties of amino acid changes,[<a class="bk_pop" href="#CDR0000062855_rl_88_37">37</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_42">42</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_46">46</a>] incorporation of information on pathologic characteristics of <i>BRCA1</i>- and <i>BRCA2</i>-related tumors (e.g., <i>BRCA1</i>-related breast cancers are usually estrogen receptor [ER]–negative),[<a class="bk_pop" href="#CDR0000062855_rl_88_47">47</a>] and functional studies to measure the influence of specific sequence variations on the activity of BRCA1 or BRCA2 proteins.[<a class="bk_pop" href="#CDR0000062855_rl_88_48">48</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_49">49</a>] When attempting to interpret a VUS, all available information should be examined.</p></div></div><div id="CDR0000062855__113"><h4>Population estimates of the likelihood of having a <i>BRCA1</i> or <i>BRCA2</i> mutation</h4><p id="CDR0000062855__1962">Statistics regarding the percentage of individuals found to be <i>BRCA</i> mutation carriers among samples of women and men with a variety of personal cancer histories regardless of family history are provided below. These data can help determine who might best benefit from a referral for cancer genetic counseling and consideration of genetic testing but cannot replace a personalized risk assessment, which might indicate a higher or lower mutation likelihood based on additional personal and family history characteristics.</p><p id="CDR0000062855__1963">In some cases, the same mutation has been found in multiple apparently unrelated families. This observation is consistent with a founder effect, wherein a
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||
mutation identified in a contemporary population can be traced to a small group of
|
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founders isolated by geographic, cultural, or other factors. Most notably, two specific <i>BRCA1</i> mutations (185delAG and 5382insC) and a <i>BRCA2</i>
|
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mutation (6174delT) have been reported to be common in AJs. However, other <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000570712/" class="def">founder mutations</a> have been identified in African Americans and Hispanics.[<a class="bk_pop" href="#CDR0000062855_rl_88_30">30</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_50">50</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_51">51</a>]
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The presence of these founder mutations has practical implications for <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460195/" class="def">genetic
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testing</a>. Many laboratories offer directed testing specifically for
|
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ethnic-specific alleles. This greatly simplifies the technical aspects of
|
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the test but is not without limitations. For example, it is
|
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estimated that up to 15% of <i>BRCA1</i> and <i>BRCA2</i> mutations that occur among
|
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Ashkenazim are nonfounder mutations.[<a class="bk_pop" href="#CDR0000062855_rl_88_32">32</a>]</p><p id="CDR0000062855__1964">Among the general population, the likelihood of having any <i>BRCA</i> mutation is as follows:</p><ul id="CDR0000062855__1965"><li class="half_rhythm"><div>General population (excluding Ashkenazim): about 1 in 400 (~0.25%).[<a class="bk_pop" href="#CDR0000062855_rl_88_21">21</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_52">52</a>]</div></li><li class="half_rhythm"><div>Women with breast cancer (any age): 1 in 50 (2%).[<a class="bk_pop" href="#CDR0000062855_rl_88_53">53</a>]</div></li><li class="half_rhythm"><div>Women with breast cancer (younger than 40 years): 1 in 10 (10%).[<a class="bk_pop" href="#CDR0000062855_rl_88_54">54</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_56">56</a>]</div></li><li class="half_rhythm"><div>Men with breast cancer (any age): 1 in 20 (5%).[<a class="bk_pop" href="#CDR0000062855_rl_88_57">57</a>]</div></li><li class="half_rhythm"><div>Women with ovarian cancer (any age): 1 in 8 to 1 in 10 (10%–15%).[<a class="bk_pop" href="#CDR0000062855_rl_88_58">58</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_60">60</a>]</div></li></ul><p id="CDR0000062855__1966">Among AJ individuals, the likelihood of having any <i>BRCA</i> mutation is as follows:</p><ul id="CDR0000062855__1967"><li class="half_rhythm"><div>General AJ population: 1 in 40 (2.5%).[<a class="bk_pop" href="#CDR0000062855_rl_88_61">61</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_62">62</a>]</div></li><li class="half_rhythm"><div>Women with breast cancer (any age): 1 in 10 (10%).[<a class="bk_pop" href="#CDR0000062855_rl_88_63">63</a>]</div></li><li class="half_rhythm"><div>Women with breast cancer (younger than 40 years): 1 in 3 (30%–35%).[<a class="bk_pop" href="#CDR0000062855_rl_88_63">63</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_65">65</a>]</div></li><li class="half_rhythm"><div>Men with breast cancer (any age): 1 in 5 (19%).[<a class="bk_pop" href="#CDR0000062855_rl_88_66">66</a>]</div></li><li class="half_rhythm"><div>Women with ovarian cancer or primary peritoneal cancer (all ages): 1 in 3 (36%–41%).[<a class="bk_pop" href="#CDR0000062855_rl_88_67">67</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_69">69</a>]</div></li></ul><p id="CDR0000062855__114">Two large U.S. population-based studies of breast cancer patients younger than age 65 years examined the prevalence of <i>BRCA1</i> [<a class="bk_pop" href="#CDR0000062855_rl_88_55">55</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_70">70</a>] and <i>BRCA2</i> [<a class="bk_pop" href="#CDR0000062855_rl_88_55">55</a>] mutations in various ethnic groups. The prevalence of <i>BRCA1</i> mutations in breast cancer patients by ethnic group was 3.5% in Hispanics, 1.3% to 1.4% in African Americans, 0.5% in Asian Americans, 2.2% to 2.9% in non-Ashkenazi whites, and 8.3% to 10.2% in Ashkenazi Jewish individuals.[<a class="bk_pop" href="#CDR0000062855_rl_88_55">55</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_70">70</a>] The prevalence of <i>BRCA2</i> mutations by ethnic group was 2.6% in African Americans and 2.1% in whites.[<a class="bk_pop" href="#CDR0000062855_rl_88_55">55</a>]</p><p id="CDR0000062855__2612">A study of Hispanic patients with a personal or family history of breast cancer and/or ovarian cancer, who were enrolled through multiple clinics in the southwestern United States, examined the prevalence of <i>BRCA1</i> and <i>BRCA2</i> mutations. Deleterious <i>BRCA</i> mutations were identified in 189 of 746 patients (25%) (124 <i>BRCA1</i>, 65 <i>BRCA2</i>);[<a class="bk_pop" href="#CDR0000062855_rl_88_71">71</a>] 21 of the 189 (11%) deleterious <i>BRCA</i> mutations identified were large rearrangements, of which 13 (62%) were <i>BRCA1</i> ex9-12 deletions. In another population-based cohort of 492 Hispanic women with breast cancer, the <i>BRCA1</i> ex9-12 deletion was found in three patients, suggesting that this mutation may be a Mexican founder mutation and may represent 10% to 12% of all <i>BRCA1</i> mutations in similar clinic- and population-based cohorts in the United States. Within the clinic-based cohort, there were nine recurrent mutations, which accounted for 53% of all mutations observed in this cohort, suggesting the existence of additional founder mutations in this population.</p><p id="CDR0000062855__2300">A retrospective review of 29 AJ patients with primary fallopian tube tumors identified <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460154/" class="def">germline</a>
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<i>BRCA</i> mutations in 17%.[<a class="bk_pop" href="#CDR0000062855_rl_88_69">69</a>] Another study of 108 women with fallopian tube cancer identified mutations in 55.6% of the Jewish women and 26.4% of non-Jewish women (30.6% overall).[<a class="bk_pop" href="#CDR0000062855_rl_88_72">72</a>] Estimates of the frequency of fallopian tube cancer in <i>BRCA</i> mutation carriers are limited by the lack of precision in the assignment of site of origin for high-grade, metastatic, serous carcinomas at initial presentation.[<a class="bk_pop" href="#CDR0000062855_rl_88_6">6</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_69">69</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_72">72</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_73">73</a>] </p></div><div id="CDR0000062855__1544"><h4>Clinical criteria and models for prediction of the likelihood of a <i>BRCA1</i> or <i>BRCA2</i> mutation</h4><p id="CDR0000062855__1545">Several studies have assessed the frequency of <i>BRCA1</i> or <i>BRCA2</i> mutations in women with breast or ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_55">55</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_56">56</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_70">70</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_74">74</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_82">82</a>] Personal characteristics associated with an increased likelihood of a <i>BRCA1</i> and/or <i>BRCA2</i> mutation include the following:</p><ul id="CDR0000062855__1546"><li class="half_rhythm"><div>Breast cancer diagnosed at an early age. (Some studies use age 40 years as a cutoff, while others use age 50 years.)</div></li><li class="half_rhythm"><div>Ovarian cancer.</div></li><li class="half_rhythm"><div>Bilateral breast cancer.</div></li><li class="half_rhythm"><div>A history of both breast and ovarian cancer.</div></li><li class="half_rhythm"><div>Breast cancer diagnosed in a male at any age.[<a class="bk_pop" href="#CDR0000062855_rl_88_74">74</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_77">77</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_80">80</a>]</div></li><li class="half_rhythm"><div><a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000639916/" class="def">Triple-negative breast cancer</a> diagnosed in women younger than 60 years.[<a class="bk_pop" href="#CDR0000062855_rl_88_83">83</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_86">86</a>]</div></li><li class="half_rhythm"><div>AJ background.[<a class="bk_pop" href="#CDR0000062855_rl_88_74">74</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_75">75</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_77">77</a>]</div></li></ul><p id="CDR0000062855__1547">Family history characteristics associated with an increased likelihood of carrying a <i>BRCA1</i> and/or <i>BRCA2</i> mutation include the following: </p><ul id="CDR0000062855__1548"><li class="half_rhythm"><div>Multiple cases of breast cancer.</div></li><li class="half_rhythm"><div>Both breast and ovarian cancer.</div></li><li class="half_rhythm"><div>One or more breast cancers in male family members.</div></li><li class="half_rhythm"><div>AJ background.[<a class="bk_pop" href="#CDR0000062855_rl_88_74">74</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_77">77</a>]</div></li></ul><div id="CDR0000062855__2262"><h5>Clinical criteria and practice guidelines for identifying individuals who may have a <i>BRCA1</i> or <i>BRCA2</i> mutation</h5><p id="CDR0000062855__2263">Several professional organizations and expert panels, including the American Society of Clinical Oncology,[<a class="bk_pop" href="#CDR0000062855_rl_88_87">87</a>] the National Comprehensive Cancer Network (NCCN),[<a class="bk_pop" href="#CDR0000062855_rl_88_88">88</a>] the American Society of Human Genetics,[<a class="bk_pop" href="#CDR0000062855_rl_88_89">89</a>] the American College of Medical Genetics and Genomics,[<a class="bk_pop" href="#CDR0000062855_rl_88_90">90</a>] the National Society of Genetic Counselors,[<a class="bk_pop" href="#CDR0000062855_rl_88_90">90</a>] the U.S. Preventive Services Task Force,[<a class="bk_pop" href="#CDR0000062855_rl_88_91">91</a>] and the Society of Gynecologic Oncologists,[<a class="bk_pop" href="#CDR0000062855_rl_88_92">92</a>] have developed clinical criteria and practice guidelines that can be helpful to health care providers in identifying individuals who may have a <i>BRCA1</i> or <i>BRCA2</i> mutation.</p></div><div id="CDR0000062855__2264"><h5>Models for prediction of the likelihood of a <i>BRCA1</i> or <i>BRCA2</i> mutation</h5><p id="CDR0000062855__2270">Many models have been developed to predict the probability of identifying germline <i>BRCA1/BRCA2</i> mutations in individuals or families. These models include those using logistic regression,[<a class="bk_pop" href="#CDR0000062855_rl_88_32">32</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_74">74</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_75">75</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_77">77</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_80">80</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_93">93</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_94">94</a>] genetic models using Bayesian analysis (BRCAPRO and Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm [BOADICEA]),[<a class="bk_pop" href="#CDR0000062855_rl_88_80">80</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_95">95</a>] and empiric observations,[<a class="bk_pop" href="#CDR0000062855_rl_88_52">52</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_55">55</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_58">58</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_96">96</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_98">98</a>]
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including the <a href="http://www.myriadtests.com/provider/brca-mutation-prevalence.htm" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Myriad prevalence tables</a>.
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</p><p id="CDR0000062855__2739"> In addition to BOADICEA, BRCAPRO is commonly used for genetic counseling in the clinical setting. BRCAPRO and BOADICEA predict the probability of being a carrier and produce estimates of breast cancer risk (see <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2112/?report=objectonly" target="object" rid-figpopup="figCDR00000628552112" rid-ob="figobCDR00000628552112">Table 2</a>). The discrimination and accuracy (factors used to evaluate the performance of prediction models) of these models are much higher for these models' ability to report on carrier status than for their ability to predict fixed or remaining lifetime risk.</p><p id="CDR0000062855__2740">More recently, a polygenetic model (BOADICEA) using complex <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000712689/" class="def">segregation analysis</a> to examine both breast cancer risk and the probability of having a <i>BRCA1</i> or <i>BRCA2</i> mutation has been published.[<a class="bk_pop" href="#CDR0000062855_rl_88_95">95</a>] Even among experienced providers, the use of prediction models has been shown to increase the power to discriminate which patients are most likely to be <i>BRCA1/BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_88_99">99</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_100">100</a>] Most models do not include other cancers seen in the <i>BRCA1</i> and <i>BRCA2</i> spectrum, such as pancreatic cancer and prostate cancer. Interventions that decrease the likelihood that an individual will develop cancer (such as oophorectomy and mastectomy) may influence the ability to predict <i>BRCA1</i> and <i>BRCA2</i> mutation status.[<a class="bk_pop" href="#CDR0000062855_rl_88_101">101</a>] One study has shown that the prediction models for genetic risk are sensitive to the amount of family history data available and do not perform as well with limited family information.[<a class="bk_pop" href="#CDR0000062855_rl_88_102">102</a>]</p><p id="CDR0000062855__2271">The performance of the models can vary in specific ethnic groups. The BRCAPRO model appeared to best fit a series of French Canadian families.[<a class="bk_pop" href="#CDR0000062855_rl_88_103">103</a>] There have been variable results in the performance of the BRCAPRO model among Hispanics,[<a class="bk_pop" href="#CDR0000062855_rl_88_104">104</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_105">105</a>] and both the BRCAPRO model and Myriad tables underestimated the proportion of mutation carriers in an Asian American population.[<a class="bk_pop" href="#CDR0000062855_rl_88_106">106</a>] BOADICEA was developed and validated in British women. Thus, the major models used for both overall risk (Table <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2836/?report=objectonly" target="object" rid-figpopup="figCDR00000628552836" rid-ob="figobCDR00000628552836">1</a>) and genetic risk (<a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2112/?report=objectonly" target="object" rid-figpopup="figCDR00000628552112" rid-ob="figobCDR00000628552112">Table 2</a>) have not been developed or validated in large populations of racially and ethnically diverse women. Of the commonly used clinical models for assessing genetic risk, only the Tyrer-Cuzick model contains nongenetic risk factors.</p><p id="CDR0000062855__2550">The power of several of the models has been compared in different studies.[<a class="bk_pop" href="#CDR0000062855_rl_88_107">107</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_110">110</a>] Four breast cancer genetic-risk models, BOADICEA, BRCAPRO, IBIS, and eCLAUS, were evaluated for their diagnostic accuracy in predicting <i>BRCA1/2</i> mutations in a cohort of 7,352 German families.[<a class="bk_pop" href="#CDR0000062855_rl_88_111">111</a>] The family member with the highest likelihood of carrying a mutation from each family was screened for <i>BRCA1/2</i> mutations. Carrier probabilities from each model were calculated and compared with the actual mutations detected. BRCAPRO and BOADICEA had significantly higher diagnostic accuracy than IBIS or eCLAUS. Accuracy for the BOADICEA model was further improved when information on the tumor markers ER, progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2/neu) were included in the model. The inclusion of these biomarkers has been shown to improve the performance of BRCAPRO.[<a class="bk_pop" href="#CDR0000062855_rl_88_112">112</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_113">113</a>]</p><div id="CDR0000062855__2112" class="table"><h3><span class="title">Table 2. Characteristics of Common Models for Estimating the Likelihood of a <i>BRCA1/2</i> Mutation</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2112/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2112_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;"></th><th colspan="1" rowspan="1" style="vertical-align:top;"><a href="https://www.myriadpro.com/brca-risk-calculator/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Myriad Prevalence Tables</a> [<a class="bk_pop" href="#CDR0000062855_rl_88_77">77</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">BRCAPRO [<a class="bk_pop" href="#CDR0000062855_rl_88_80">80</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_101">101</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">BOADICEA [<a class="bk_pop" href="#CDR0000062855_rl_88_80">80</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_95">95</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">Tyrer-Cuzick [<a class="bk_pop" href="#CDR0000062855_rl_88_114">114</a>]</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Method</b></td><td colspan="1" rowspan="1" style="vertical-align:top;">Empiric data from Myriad Genetics based on personal and <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000302456/" class="def">family history</a> reported on requisition forms</td><td colspan="1" rowspan="1" style="vertical-align:top;">Statistical model, assumes <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339338/" class="def">autosomal dominant</a> inheritance</td><td colspan="1" rowspan="1" style="vertical-align:top;">Statistical model, assumes polygenic risk</td><td colspan="1" rowspan="1" style="vertical-align:top;">Statistical model, assumes autosomal dominant inheritance</td></tr><tr><td colspan="1" rowspan="6" style="vertical-align:top;"><b>Features of the Model</b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460211/" class="def">Proband</a> may or may not have breast or ovarian cancer </td><td colspan="1" rowspan="1" style="vertical-align:top;">Proband may or may not have breast or ovarian cancer</td><td colspan="1" rowspan="1" style="vertical-align:top;">Proband may or may not have breast or ovarian cancer</td><td colspan="1" rowspan="1" style="vertical-align:top;">Proband must be unaffected </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Considers age of breast cancer diagnosis as <50 y, >50 y </td><td colspan="1" rowspan="1" style="vertical-align:top;">Considers exact age at breast and ovarian cancer diagnosis </td><td colspan="1" rowspan="1" style="vertical-align:top;">Considers exact age at breast and ovarian cancer diagnosis </td><td colspan="1" rowspan="1" style="vertical-align:top;">Also includes reproductive factors and body mass index to estimate breast cancer risk </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Considers breast cancer in ≥1 affected relative only if diagnosed <50 y </td><td colspan="1" rowspan="1" style="vertical-align:top;">Considers prior genetic testing in family (i.e., <i>BRCA1/BRCA</i>2 mutation–negative relatives) </td><td colspan="1" rowspan="1" style="vertical-align:top;">Includes all FDR and SDR with and without cancer </td><td colspan="1" rowspan="1" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Considers ovarian cancer in ≥1 relative at any age </td><td colspan="1" rowspan="1" style="vertical-align:top;">Considers oophorectomy status </td><td colspan="1" rowspan="1" style="vertical-align:top;">Includes AJ ancestry </td><td colspan="1" rowspan="1" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Includes AJ ancestry </td><td colspan="1" rowspan="1" style="vertical-align:top;">Includes all FDR and SDR with and without cancer </td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Very easy to use </td><td colspan="1" rowspan="1" style="vertical-align:top;">Includes AJ ancestry </td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="5" style="vertical-align:top;"><b>Limitations</b></td><td colspan="1" rowspan="3" style="vertical-align:top;">Simplified/limited consideration of family structure</td><td colspan="1" rowspan="1" style="vertical-align:top;">Requires computer software and time-consuming
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data entry </td><td colspan="1" rowspan="3" style="vertical-align:top;">Requires computer software and time-consuming data entry</td><td colspan="1" rowspan="5" style="vertical-align:top;">Designed for individuals unaffected with breast cancer </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Incorporates only FDR and SDR; may need to change proband to best capture risk and to account for disease in the paternal lineage </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">May overestimate risk in bilateral breast cancer [<a class="bk_pop" href="#CDR0000062855_rl_88_115">115</a>] </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">Early age of breast cancer onset </td><td colspan="1" rowspan="1" style="vertical-align:top;">May perform better in whites than minority populations [<a class="bk_pop" href="#CDR0000062855_rl_88_105">105</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_116">116</a>]
|
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</td><td colspan="1" rowspan="2" style="vertical-align:top;">Incorporates only FDR and SDR; may need to change proband to best capture risk </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">May underestimate risk of <i>BRCA</i> mutation in high-grade serous ovarian cancers but overestimate the risk for other histologies [<a class="bk_pop" href="#CDR0000062855_rl_88_117">117</a>]</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">AJ = Ashkenazi Jewish; BOADICEA = Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm; FDR = first-degree relatives; SDR = second-degree relatives. </p></div></dd></dl></div></div></div><p id="CDR0000062855__2272">Genetic testing for <i>BRCA1</i> and <i>BRCA2</i> mutations has been available to the public since 1996. As more individuals have undergone testing, risk assessment models have improved. This, in turn, gives providers better data to estimate an individual patient’s risk of carrying a mutation, but risk assessment continues to be an art. There are factors that might limit the ability to provide an accurate risk assessment (i.e., small family size, paucity of women, or ethnicity) including the specific circumstances of the individual patient (such as history of disease or prophylactic surgeries).</p></div></div><div id="CDR0000062855__117"><h4>Penetrance of mutations</h4><p id="CDR0000062855__118">The proportion of individuals carrying a mutation who will manifest the
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disease is referred to as <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339344/" class="def">penetrance</a>. In general, common genetic variants that are associated with cancer susceptibility have a lower penetrance than rare genetic variants. This is depicted in Figure 4. For adult-onset diseases, penetrance is
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usually described by the individual carrier's age and sex. For example, the
|
||
penetrance for breast cancer in female <i>BRCA1/BRCA2</i> mutation carriers is often quoted by age 50 years and by age 70 years. Of the numerous methods for estimating penetrance, none are without potential biases, and determining an individual mutation carrier's risk of cancer involves some level of imprecision.</p><div class="iconblock whole_rhythm clearfix ten_col fig" id="figCDR00000628552583" co-legend-rid="figlgndCDR00000628552583"><a href="/books/NBK65767.2/figure/CDR0000062855__2583/?report=objectonly" target="object" title="Figure" class="img_link icnblk_img figpopup" rid-figpopup="figCDR00000628552583" rid-ob="figobCDR00000628552583"><img class="small-thumb" src="/books/NBK65767.2/bin/CDR0000746226.gif" src-large="/books/NBK65767.2/bin/CDR0000746226.jpg" alt="Figure 4" /></a><div class="icnblk_cntnt" id="figlgndCDR00000628552583"><h4 id="CDR0000062855__2583"><a href="/books/NBK65767.2/figure/CDR0000062855__2583/?report=objectonly" target="object" rid-ob="figobCDR00000628552583">Figure</a></h4><p class="float-caption no_bottom_margin">Figure 4. Genetic architecture of cancer risk. This graph depicts the general finding of a low relative risk associated with common, low-penetrance genetic variants, such as single-nucleotide polymorphisms identified in genome-wide association studies, <a href="/books/NBK65767.2/figure/CDR0000062855__2583/?report=objectonly" target="object" rid-ob="figobCDR00000628552583">(more...)</a></p></div></div><p id="CDR0000062855__2375">Numerous studies have estimated breast and ovarian cancer penetrance in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers. Risk of both breast and ovarian cancer is consistently estimated to be higher in <i>BRCA1</i> than in <i>BRCA2</i> mutation carriers. Results from two large meta-analyses are shown in <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2379/?report=objectonly" target="object" rid-figpopup="figCDR00000628552379" rid-ob="figobCDR00000628552379">Table 3</a>.[<a class="bk_pop" href="#CDR0000062855_rl_88_118">118</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_119">119</a>] One study [<a class="bk_pop" href="#CDR0000062855_rl_88_118">118</a>] analyzed pooled pedigree data from 22 studies involving 289 <i>BRCA1</i> and 221 <i>BRCA2</i> mutation–positive individuals. Index cases from these studies had female breast cancer, male breast cancer, or ovarian cancer but were unselected for family history. A subsequent study [<a class="bk_pop" href="#CDR0000062855_rl_88_119">119</a>] combined penetrance estimates from the previous study and nine others that included an additional 734 <i>BRCA1</i> and 400 <i>BRCA2</i> mutation–positive families. The estimated cumulative risks of breast cancer by age 70 years in these two meta-analyses were 55% to 65% for <i>BRCA1</i> and 45% to 47% for <i>BRCA2</i> mutation carriers. Ovarian cancer risks were 39% for <i>BRCA1</i> and 11% to 17% for <i>BRCA2</i> mutation carriers. </p><div id="CDR0000062855__2379" class="table"><h3><span class="title">Table 3. Estimated Cumulative Breast and Ovarian Cancer Risks in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2379/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2379_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Study</th><th colspan="2" rowspan="1" style="vertical-align:top;">Breast cancer
|
||
risk (%) by age 70 y (95% CI)
|
||
</th><th colspan="2" rowspan="1" style="vertical-align:top;">Ovarian cancer
|
||
risk (%) by age 70 y (95% CI)
|
||
</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"><i><b>BRCA1</b></i></td><td colspan="1" rowspan="1" style="vertical-align:top;"><i><b>BRCA2</b></i></td><td colspan="1" rowspan="1" style="vertical-align:top;"><i><b>BRCA1</b></i></td><td colspan="1" rowspan="1" style="vertical-align:top;"><i><b>BRCA2</b></i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Antoniou et al. (2003) [<a class="bk_pop" href="#CDR0000062855_rl_88_118">118</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">65
|
||
(44–78)
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">45
|
||
(31–56)
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">39
|
||
(18–54)
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">11
|
||
(2.4–19)
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Chen et al. (2007) [<a class="bk_pop" href="#CDR0000062855_rl_88_119">119</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">55
|
||
(50–59)
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">47
|
||
(42–51)
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">39
|
||
(34–45)
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">17
|
||
(13–21)
|
||
</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">CI = confidence interval.</p></div></dd></dl></div></div></div><p id="CDR0000062855__2376">While the cumulative risks of developing cancer by age 70 years are higher for <i>BRCA1</i> than for <i>BRCA2</i> mutation carriers, the relative risks (RRs) of breast cancer decline more with age in <i>BRCA1</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_88_118">118</a>] Studies of penetrance for carriers of specific individual mutations are not usually large enough to provide stable estimates, but numerous studies of the Ashkenazi founder mutations have been conducted. One group of researchers analyzed the subset of families with one of the Ashkenazi founder mutations from their larger meta-analyses and found that the estimated penetrance for the individual mutations was very similar to the corresponding estimates among all mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_88_120">120</a>] A later study of 4,649 women with <i>BRCA</i> mutations reported significantly lower relative risks of breast cancer in those with the <i>BRCA2</i> 6174delT mutation than in those with other <i>BRCA2</i> mutations (hazard ratio [HR], 0.35; confidence interval [CI], 0.18–0.69).[<a class="bk_pop" href="#CDR0000062855_rl_88_121">121</a>]</p><p id="CDR0000062855__2377">One study provided prospective 10-year risks of developing cancer among asymptomatic carriers at various ages.[<a class="bk_pop" href="#CDR0000062855_rl_88_119">119</a>] Nonetheless, making precise penetrance estimates in an individual carrier is difficult.</p><p id="CDR0000062855__2818">Data from the Consortium of Investigators of Modifiers of <i>BRCA1/2</i> (CIMBA), comprising 19,581 <i>BRCA1</i> mutation carriers and 11,900 <i>BRCA2</i> mutation carriers, were analyzed to estimate HRs for breast cancer and ovarian cancer by mutation type, function, and nucleotide position.[<a class="bk_pop" href="#CDR0000062855_rl_88_122">122</a>] Breast cancer cluster regions and ovarian cancer cluster regions were found in both genes. Risks for incidence of breast cancer and ovarian cancer and age at diagnosis differed by mutation class. Further evaluation of these findings is needed before they can be translated into clinical practice.</p><p id="CDR0000062855__718">Risk-reducing salpingo-oophorectomy and/or use of oral contraceptives have been shown to alter risk.[<a class="bk_pop" href="#CDR0000062855_rl_88_63">63</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_118">118</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_123">123</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_128">128</a>] (Refer to the <a href="#CDR0000062855__2163">Risk-reducing salpingo-oophorectomy</a> section and the <a href="#CDR0000062855__2174">Oral contraceptives</a> section of this summary for more information.) Other potentially modifiable reproductive and hormonal factors can also affect risk.[<a class="bk_pop" href="#CDR0000062855_rl_88_129">129</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_133">133</a>] Genetic modifiers of penetrance of breast cancer and ovarian cancer are increasingly under study but are not clinically useful at this time.[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_136">136</a>] (Refer to the <a href="#CDR0000062855__2508">Modifiers of Risk in BRCA1 and BRCA2 Mutation Carriers</a> section for more information.) While the average breast cancer and ovarian cancer penetrances may not be as high as initially estimated, they are substantial, both in relative and absolute terms, particularly in women born after 1940. A higher risk before age 50 years has been consistently seen in more recent birth cohorts,[<a class="bk_pop" href="#CDR0000062855_rl_88_62">62</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_63">63</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_137">137</a>] and additional studies will be required to further characterize potential modifying factors to arrive at more precise individual risk projections. Precise penetrance estimates for less common cancers, such as pancreatic cancer, are lacking.</p><div id="CDR0000062855__2297"><h5>Cancers other than female breast/ovarian</h5><p id="CDR0000062855__2298">Female breast and ovarian cancers are clearly the dominant cancers associated with <i>BRCA1</i> and <i>BRCA2</i>. <i>BRCA</i> mutations also confer an increased risk of fallopian tube and primary peritoneal carcinomas. One large study from a familial registry of <i>BRCA1</i> mutation carriers has found a 120-fold RR of tubal cancer among <i>BRCA1</i> mutation carriers compared with the general population.[<a class="bk_pop" href="#CDR0000062855_rl_88_6">6</a>] The risk of primary peritoneal cancer among <i>BRCA</i> mutation carriers with intact ovaries is increased but remains poorly quantified, despite a residual risk of 3% to 4% in the 20 years after risk-reducing salpingo-oophorectomy.[<a class="bk_pop" href="#CDR0000062855_rl_88_138">138</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_139">139</a>] (Refer to the <a href="#CDR0000062855__2236">Risk-reducing salpingo-oophorectomy</a> section in the <a href="#CDR0000062855__2186">Ovarian cancer</a> section of this summary for more information.)</p><p id="CDR0000062855__2466">Pancreatic, male breast, and prostate cancers have also been consistently associated with <i>BRCA</i> mutations, particularly with <i>BRCA2</i>. Other cancers have been associated in some studies. The strength of the association of these cancers with <i>BRCA</i> mutations has been more difficult to estimate because of the lower numbers of these cancers observed in mutation carriers.</p><p id="CDR0000062855__2268">Men with <i>BRCA2</i> mutations, and to a lesser extent <i>BRCA1</i> mutations, are at increased risk of breast cancer with lifetime risks estimated at 5% to 10% and 1% to 2%, respectively.[<a class="bk_pop" href="#CDR0000062855_rl_88_6">6</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_8">8</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_9">9</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_140">140</a>] Men carrying <i>BRCA2</i> mutations, and to a lesser extent <i>BRCA1</i> mutations, have an approximately threefold to sevenfold increased risk of prostate cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_7">7</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_8">8</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_12">12</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_98">98</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_141">141</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_144">144</a>] <i>BRCA2</i>-associated prostate cancer also appears to be more aggressive.[<a class="bk_pop" href="#CDR0000062855_rl_88_145">145</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_150">150</a>] (Refer to the <i><a href="/books/n/pdqcis/CDR0000299612/#CDR0000299612__1051">BRCA1 and BRCA2</a></i> section in the PDQ summary on <a href="/books/n/pdqcis/CDR0000299612/">Genetics of Prostate Cancer</a> for more information.)</p><p id="CDR0000062855__2269">Studies of familial pancreatic cancer (FPC) [<a class="bk_pop" href="#CDR0000062855_rl_88_151">151</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_155">155</a>] and unselected series of pancreatic cancer [<a class="bk_pop" href="#CDR0000062855_rl_88_156">156</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_158">158</a>] have also supported an association with <i>BRCA2</i>, and to a lesser extent, <i>BRCA1</i>.[<a class="bk_pop" href="#CDR0000062855_rl_88_7">7</a>] Overall, it appears that between 3% to 15% of families with FPC may have germline <i>BRCA2</i> mutations, with risks increasing with more affected relatives.[<a class="bk_pop" href="#CDR0000062855_rl_88_151">151</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_153">153</a>] Similarly, studies of unselected pancreatic cancers have reported <i>BRCA2</i> mutation frequencies between 3% to 7%, with these numbers approaching 10% in those of AJ descent.[<a class="bk_pop" href="#CDR0000062855_rl_88_156">156</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_157">157</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_159">159</a>] The lifetime risk of pancreatic cancer in <i>BRCA2</i> carriers is estimated to be 3% to 5%,[<a class="bk_pop" href="#CDR0000062855_rl_88_8">8</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_12">12</a>] compared with an estimated lifetime risk of 0.5% by age 70 years
|
||
in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_88_160">160</a>] A large, single-institution study of more than 1,000 mutation carriers found a 21-fold increased risk of pancreatic cancer among <i>BRCA2</i> mutation carriers and a 4.7-fold increased risk among <i>BRCA1</i> mutation carriers, compared with incidence in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_88_144">144</a>] Other cancers associated with <i>BRCA2</i> mutations in some, but not all, studies include melanoma, biliary cancers, and head and neck cancers, but these risks appear modest (<5% lifetime) and are less well studied.[<a class="bk_pop" href="#CDR0000062855_rl_88_12">12</a>] </p><div id="CDR0000062855__2316" class="table"><h3><span class="title">Table 4. Spectrum of Cancers in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2316/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2316_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Cancer Sites [<a class="bk_pop" href="#CDR0000062855_rl_88_6">6</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_8">8</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_12">12</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_61">61</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_143">143</a>]</th><th colspan="2" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> Mutation Carrier</th><th colspan="2" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> Mutation Carrier</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Strength of Evidence</b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Magnitude of Absolute Risk</b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Strength of Evidence</b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Magnitude of Absolute Risk</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Breast (female)</td><td colspan="1" rowspan="1" style="vertical-align:top;">+++</td><td colspan="1" rowspan="1" style="vertical-align:top;">High</td><td colspan="1" rowspan="1" style="vertical-align:top;">+++</td><td colspan="1" rowspan="1" style="vertical-align:top;">High</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Ovary, fallopian tube, peritoneum</td><td colspan="1" rowspan="1" style="vertical-align:top;">+++</td><td colspan="1" rowspan="1" style="vertical-align:top;">High</td><td colspan="1" rowspan="1" style="vertical-align:top;">+++</td><td colspan="1" rowspan="1" style="vertical-align:top;">Moderate</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Breast (male)</td><td colspan="1" rowspan="1" style="vertical-align:top;">+</td><td colspan="1" rowspan="1" style="vertical-align:top;">Undefined</td><td colspan="1" rowspan="1" style="vertical-align:top;">+++</td><td colspan="1" rowspan="1" style="vertical-align:top;">Low</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Pancreas</td><td colspan="1" rowspan="1" style="vertical-align:top;">++</td><td colspan="1" rowspan="1" style="vertical-align:top;">Very Low</td><td colspan="1" rowspan="1" style="vertical-align:top;">+++</td><td colspan="1" rowspan="1" style="vertical-align:top;">Low</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Prostate<sup>a</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">+</td><td colspan="1" rowspan="1" style="vertical-align:top;">Undefined</td><td colspan="1" rowspan="1" style="vertical-align:top;">+++</td><td colspan="1" rowspan="1" style="vertical-align:top;">High</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin"><sup>a</sup>Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000299612/#CDR0000299612__1051">Genetics of Prostate Cancer</a> for more information about the association of <i>BRCA1</i> and <i>BRCA2</i> with prostate cancer. </p></div></dd><dt></dt><dd><div><p class="no_margin">+++ Multiple studies demonstrated association and are relatively consistent.</p></div></dd><dt></dt><dd><div><p class="no_margin">++ Multiple studies and the predominance of the evidence are positive.</p></div></dd><dt></dt><dd><div><p class="no_margin">+ May be an association, predominantly single studies; smaller limited studies and/or inconsistent but weighted toward positive.</p></div></dd></dl></div></div></div><p id="CDR0000062855__2301">The first Breast Cancer Linkage Consortium study investigating cancer risks reported an excess of colorectal cancer in <i>BRCA1</i> carriers (RR, 4.1; 95% CI, 2.4–7.2).[<a class="bk_pop" href="#CDR0000062855_rl_88_161">161</a>] This finding was supported by some,[<a class="bk_pop" href="#CDR0000062855_rl_88_6">6</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_7">7</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_162">162</a>] but not all,[<a class="bk_pop" href="#CDR0000062855_rl_88_8">8</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_61">61</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_68">68</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_98">98</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_163">163</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_165">165</a>] family-based studies. However, unselected series of colorectal cancer that have been exclusively performed in the AJ population have not shown elevated rates of <i>BRCA1</i> or <i>BRCA2</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_88_166">166</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_168">168</a>] Taken together, the data suggest little, if any, increased risk of colorectal cancer, and possibly only in specific population groups. Therefore, at this time, <i>BRCA1</i> mutation carriers should adhere to population-screening recommendations for colorectal cancer.</p><p id="CDR0000062855__2346">No increased prevalence of hereditary <i>BRCA</i> mutations was found among 200 Jewish women with endometrial carcinoma or 56 unselected women with uterine papillary serous carcinoma.[<a class="bk_pop" href="#CDR0000062855_rl_88_169">169</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_170">170</a>] (Refer to the <a href="#CDR0000062855__2236">Risk-reducing salpingo-oophorectomy </a> section in the <a href="#CDR0000062855__2186">Ovarian cancer</a> section of this summary for more information.)</p></div><div id="CDR0000062855__1626"><h5>Cancer risk in individuals who test negative for a known familial <i>BRCA1/BRCA2</i> mutation ("true negative")</h5><p id="CDR0000062855__1627">There is conflicting evidence as to the residual familial risk among women who test negative for the <i>BRCA1/BRCA2</i> mutation segregating in the family. An initial study based on prospective evaluation of 353 women who tested negative for the <i>BRCA1</i> mutation segregating in the family found that five incident breast cancers occurred during more than 6,000 person-years of observation, for a lifetime risk of 6.8%, a rate similar to the general population.[<a class="bk_pop" href="#CDR0000062855_rl_88_126">126</a>] A report that the risk may be as high as fivefold in women who tested negative for the <i>BRCA1</i> or <i>BRCA2</i> mutation in the family [<a class="bk_pop" href="#CDR0000062855_rl_88_171">171</a>] was followed by numerous letters to the editor suggesting that ascertainment biases account for much of this observed excess risk.[<a class="bk_pop" href="#CDR0000062855_rl_88_172">172</a> -<a class="bk_pop" href="#CDR0000062855_rl_88_177">177</a>] Four additional analyses have suggested an approximate 1.5-fold to 2-fold excess risk.[<a class="bk_pop" href="#CDR0000062855_rl_88_176">176</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_178">178</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_180">180</a>] In one study, two cases of ovarian cancer were reported.[<a class="bk_pop" href="#CDR0000062855_rl_88_180">180</a>] Several studies have involved retrospective analyses; all studies have been based on small observed numbers of cases and have been of uncertain statistical and clinical significance. </p><p id="CDR0000062855__2424">Results from numerous other prospective studies have found no increased risk. A study of 375 women who tested negative for a known familial mutation in <i>BRCA1</i> or <i>BRCA2</i> reported two invasive breast cancers, two <i>in situ</i> breast cancers, and no ovarian cancers diagnosed, with a mean follow-up of 4.9 years. Four invasive breast cancers were expected, whereas two were observed.[<a class="bk_pop" href="#CDR0000062855_rl_88_181">181</a>] Another study of similar size but longer follow-up (395 women and 7,008 person-years of follow-up) also found no statistically significant overall increase in breast cancer risk among mutation-negative women (observed/expected [O/E], 0.82; 95% CI, 0.39–1.51), although women who had at least one first-degree relative with breast cancer had a nonsignificant increased risk (O/E, 1.33; 95% CI, 0.41–2.91).[<a class="bk_pop" href="#CDR0000062855_rl_88_182">182</a>] A study of 160 <i>BRCA1</i> and 132 <i>BRCA2</i> mutation–positive families from the Breast Cancer Family Registry found no evidence for increased risk among noncarriers in these families.[<a class="bk_pop" href="#CDR0000062855_rl_88_183">183</a>] In a large study of 722 mutation-negative women from Australia in whom six invasive breast cancers were observed after a median follow-up of 6.3 years, the standardized incidence ratio (SIR) was not significantly elevated (SIR, 1.14; 95% CI, 0.51–2.53).[<a class="bk_pop" href="#CDR0000062855_rl_88_184">184</a>] Based on available data, it appears that women testing negative for known familial <i>BRCA1/BRCA2</i> mutations can adhere to general population screening guidelines unless they have sufficient additional risk factors, such as a personal history of atypical hyperplasia of the breast or family history of breast cancer in relatives who do not carry the familial mutation.</p></div><div id="CDR0000062855__1628"><h5>Breast and ovarian cancer risk in breast cancer families without detectable <i>BRCA1/BRCA2</i> mutations ("indeterminate")</h5><p id="CDR0000062855__1629">The majority of families with site-specific breast cancer test negative for <i>BRCA1/BRCA2</i> and have no features consistent with Cowden syndrome or Li-Fraumeni syndrome.[<a class="bk_pop" href="#CDR0000062855_rl_88_32">32</a>] Five studies using population-based and clinic-based approaches have demonstrated no increased risk of ovarian cancer in such families. Although ovarian cancer risk was not increased, breast cancer risk remained elevated.[<a class="bk_pop" href="#CDR0000062855_rl_88_183">183</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_185">185</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_185">185</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_186">186</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_186">186</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_187">187</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_187">187</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_189">189</a>]</p></div><div id="CDR0000062855__2508"><h5>Modifiers of Risk in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers</h5><p id="CDR0000062855__2635">Deleterious mutations in <i>BRCA1</i> and <i>BRCA2</i> confer high risks of breast and ovarian cancers. The risks, however, are not equal in all mutation carriers and have been found to vary by several factors, including type of cancer, age at onset, and mutation position.[<a class="bk_pop" href="#CDR0000062855_rl_88_190">190</a>] This observed variation in penetrance has led to the hypothesis that other genetic and/or environmental factors modify cancer risk in mutation carriers. There is a growing body of literature identifying genetic and nongenetic factors that contribute to the observed variation in rates of cancers seen in families with <i>BRCA1/2</i> mutations. </p><div id="CDR0000062855__2636"><h5>Genetic Modifiers of Breast and Ovarian Cancer Risk</h5><p id="CDR0000062855__2637">The largest studies investigating genetic modifiers of breast and ovarian cancer risk to date have come from CIMBA, a large international effort with genotypic and phenotypic data on more than 15,000 <i>BRCA1</i> and 10,000 <i>BRCA2</i> carriers.[<a class="bk_pop" href="#CDR0000062855_rl_88_191">191</a>] Using candidate gene analysis and genome-wide association studies, CIMBA has identified several loci associated both with increased and decreased risk of breast cancer and ovarian cancer. Some of the single nucleotide polymorphisms (SNPs) are related to subtypes of breast cancer, such as hormone-receptor and HER2/neu status. The risks conferred are all modest but if operating in a multiplicative fashion could significantly impact risk of cancer in <i>BRCA1/2</i> mutation carriers. Currently, these SNPs are not being tested for or used in clinical decision making.</p><div id="CDR0000062855__2640" class="table"><h3><span class="title">Table 5. Genetic Modifiers of Breast Cancer Risk</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2640/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2640_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Putative Gene </th><th colspan="1" rowspan="1" style="vertical-align:top;">Chromosome</th><th colspan="1" rowspan="1" style="vertical-align:top;">SNP</th><th colspan="1" rowspan="1" style="vertical-align:top;">Citation</th><th colspan="1" rowspan="1" style="vertical-align:top;">OR (95% CI)</th><th colspan="1" rowspan="1" style="vertical-align:top;">Comments</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>EMBP1</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">1p11.2</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=11249433" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs11249433</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_192">192</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.09 (1.02–1.17)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>MDM4</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">1q32.1 </td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=2290854" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs2290854</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_193">193</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.14 (1.09–1.20)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>CYP1BI-AS1</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">2p22.2</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=184577" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs184577</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_194">194</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.85 (0.79–0.91)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>CASP8</i></td><td colspan="1" rowspan="1" style="vertical-align:top;"> 2q33</td><td colspan="1" rowspan="1" style="vertical-align:top;">D302H variant</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_195">195</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.85 (0.76–0.97) </td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>SLC4A/NEKID</i>
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">3p24.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=4973768" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs4973768</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.10 (1.03–1.18)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>MAP3K1</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">5q11.2</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=889312" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs889312</a> </td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.10 (1.01–1.19)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>FGF10/MRPS30</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">5p12 </td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=10941679" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs10941679</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.09 (1.01–1.19)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;"><i>TERT</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">5p15.33</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=2736108" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs2736108</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_196">196</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.92 (0.88–0.96)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">5p15.33</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=10069690" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs10069690</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_196">196</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.16 (1.11–1.21)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">6q22.23</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=218341" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs218341</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_197">197</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.89 (0.80–1.00)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">6p24</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=9348512" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs9348512</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_194">194</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.85 (0.80–0.90)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;"><i>ESR1</i></td><td colspan="1" rowspan="1" style="vertical-align:top;"> 6q25.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=2046210" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs2046210</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_192">192</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.17 (1.11–1.23)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"> 6q25.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=9397435" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs9397435</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_192">192</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.28 (1.18–1.40)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">6q25.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=9397435" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs9397435</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_192">192</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.14 (1.01–1.28)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>LRRC4C</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">9q31.2 </td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=965686" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs965686</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_198">198</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.95 (0.89–1.01)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;"><i>ZNF365</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">10q21.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=10995190" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs10995190</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_198">198</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.90 (0.82–0.98) </td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">10q21.2</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=16917302" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs16917302</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_199">199</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.84 (0.72–0.97)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers, mainly ER+ </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">10q21.2</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=16917302" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs16917302</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_200">200</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.75 (0.60–0.86)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;"><i>FGFR2</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">10q26.13</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=2981582" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs2981582</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_201">201</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.30 (1.20–1.40) </td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">10q26.13</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=2981582" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs2981582</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_201">201</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.35 (1.17–1.56)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers, ER+</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">10q26.13</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=2981582" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs2981582</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_201">201</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.91 (0.85–0.98)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers, ER-</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>LSP1</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">11p15.5</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=3817198" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs3817198</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.14 (1.06–1.23)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>PTHLH</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">12p11</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=10771399" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs10771399</a> </td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_198">198</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.87 (0.81–0.94) </td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>RAD51</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">15q15.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=1801320" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs1801320</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_202">202</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">3.18 (1.39–7.27)
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</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers (CC homozygous only) </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><i>TOX3/TNRC9</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">16q12.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=3803662" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs3803662</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.09 (1.03–1.16)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">16q12.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=3803662" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs3803662</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_134">134</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.17 (1.07–1.27)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i>-wild type </td><td colspan="1" rowspan="1" style="vertical-align:top;">17p</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=16942" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs16942</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_203">203</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.86 (0.77–0.95)</td><td colspan="1" rowspan="1" style="vertical-align:top;">Wild type modifies <i>BRCA1</i></td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;"><i>BABAM1</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">19p13.11</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=8170" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs8170</a> </td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_204">204</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.25 (1.18–1.33)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers, triple negative </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">19p13.11</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=865686" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs865686</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_198">198</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.86 (0.78–0.95)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2 </i>carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">19p13.11</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=67397200" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs67397200</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_199">199</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.17 (1.11–1.23)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers, mainly ER-</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>GMEB2</i>
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</td><td colspan="1" rowspan="1" style="vertical-align:top;">20q13.3</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=311499" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs311499</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_200">200</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.72 (0.61–0.85)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>FGF13</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">Xq27.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=619373" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs619373</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_194">194</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.30 (1.16–3.41)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2 </i>carriers </td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">CI = confidence interval; ER+ = estrogen receptor–positive; ER- = estrogen receptor–negative; OR = odds ratio; SNP = single nucleotide polymorphism.</p></div></dd></dl></div></div></div><div id="CDR0000062855__2641" class="table"><h3><span class="title">Table 6. Genetic Modifiers of Ovarian Cancer Risk</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2641/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2641_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Putative Gene</th><th colspan="1" rowspan="1" style="vertical-align:top;">Chromosome</th><th colspan="1" rowspan="1" style="vertical-align:top;">SNP</th><th colspan="1" rowspan="1" style="vertical-align:top;">Citation</th><th colspan="1" rowspan="1" style="vertical-align:top;">OR (95% CI)</th><th colspan="1" rowspan="1" style="vertical-align:top;">Comments</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>HOXD3</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">2q31</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=717852" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs717852</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_205">205</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.25 (1.10-1.42)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>CASP8</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">2q33</td><td colspan="1" rowspan="1" style="vertical-align:top;">D302H variant</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_195">195</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.69 (0.53–0.89)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers </td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;"><i>IRS1</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">2q36.3</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=1801278" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs1801278</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_206">206</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.43 (1.06–1.92)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">2q36.3</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=1801278" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs1801278</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_206">206</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">2.21 (1.39–3.52) </td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">2q36.3 </td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=13306465" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs13306465</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_206">206</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">2.42 (1.06–5.56)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers, type II mutations only</td></tr><tr><td colspan="1" rowspan="5" style="vertical-align:top;"><i>TIPARP</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">3q25.31</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=2665390" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs2665390</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_205">205</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.48 (1.21–1.83)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">3q25.31</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=2665390" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs2665390</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_205">205</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.25 (1.10–1.43)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">4q32.3</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=4691139" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs4691139</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_193">193</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.20 (1.17–1.38)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">8q24</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=10088218" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs10088218</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_205">205</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.81 (0.67–0.98)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">8q24</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=10088218" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs10088218</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_205">205</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.89 (0.81–0.99)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers </td></tr><tr><td colspan="1" rowspan="5" style="vertical-align:top;"><i>BCN2/CNTLN</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">9p22.2</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=3814113" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs3814113</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_135">135</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.78 (0.72–0.85)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">9p22.2</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=3814113" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs3814113</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_135">135</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.78 (0.67–0.90)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">10p13.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=8170" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs8170</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_199">199</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.15 (1.03–1.30)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">10p13.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=8170" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs8170</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_199">199</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.34 (1.12–1.62)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">10p13.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=8170" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs8170</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_199">199</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.78 (0.67–0.90)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><i>PLEKHM1</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">17q21.31</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=17631303" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs17631303</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_193">193</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.27 (1.17–1.38)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">17q21.31</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=17631303" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs17631303</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_193">193</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.32 (1.15–1.52)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>SKAP1</i>
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||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">17q21.32</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=9303542" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs9303542</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_205">205</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.16 (1.02–1.33)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><i>CERS6</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">19p13.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=6739200" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs6739200</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_199">199</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.16 (1.05–1.29)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i>carriers </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">19p13.1</td><td colspan="1" rowspan="1" style="vertical-align:top;"><a href="/snp/?term=6739200" class="bk_tag" ref="pagearea=body&targetsite=entrez&targetcat=term&targettype=snp">rs6739200</a></td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_199">199</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.30 (1.10–1.52)</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2</i> carriers</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">CI = confidence interval; OR = odds ratio; SNP = single nucleotide polymorphism.</p></div></dd></dl></div></div></div></div></div></div><div id="CDR0000062855__129"><h4>Genotype-phenotype correlations</h4><p id="CDR0000062855__132">Some <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000660739/" class="def">genotype</a>-<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460203/" class="def">phenotype</a> correlations have been identified in both <i>BRCA1</i> and <i>BRCA2</i> mutation families. None of the studies have had sufficient numbers of mutation-positive individuals to make definitive conclusions, and the findings are probably not sufficiently established to use in individual risk assessment and management. In 25
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||
families with <i>BRCA2</i> mutations, an ovarian cancer cluster region was
|
||
identified in exon 11 bordered by nucleotides 3,035 and 6,629.[<a class="bk_pop" href="#CDR0000062855_rl_88_11">11</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_207">207</a>] A study of 164 families with <i>BRCA2</i> mutations
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||
collected by the Breast Cancer Linkage Consortium confirmed the initial
|
||
finding. Mutations within the ovarian cancer cluster region were associated
|
||
with an increased risk of ovarian cancer and a decreased risk of breast cancer
|
||
in comparison with families with mutations on either side of this region.[<a class="bk_pop" href="#CDR0000062855_rl_88_208">208</a>]
|
||
In addition, a study of 356 families with protein-truncating <i>BRCA1</i> mutations collected by the Breast Cancer Linkage Consortium reported breast cancer risk to be lower with mutations in the central region (nucleotides 2,401–4,190) compared with surrounding regions. Ovarian cancer risk was significantly reduced with mutations 3’ to nucleotide 4,191.[<a class="bk_pop" href="#CDR0000062855_rl_88_209">209</a>] These observations have generally been confirmed in subsequent studies.[<a class="bk_pop" href="#CDR0000062855_rl_88_118">118</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_210">210</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_211">211</a>] Studies in Ashkenazim, in whom substantial numbers of families with the same mutation can be studied, have also found higher rates of ovarian cancer in carriers of the <i>BRCA1</i>:185delAG mutation, in the 5' end of <i>BRCA1</i>, compared with carriers of the <i>BRCA1</i>:5382insC mutation in the 3' end of the gene.[<a class="bk_pop" href="#CDR0000062855_rl_88_212">212</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_213">213</a>] The risk of breast cancer, particularly bilateral breast cancer, and the occurrence of both breast and ovarian cancer in the same individual, however, appear to be higher in <i>BRCA1</i>:5382insC mutation carriers compared with carriers of <i>BRCA1</i>:185delAG and <i>BRCA2</i>:6174delT mutations. Ovarian cancer risk is considerably higher in <i>BRCA1</i> mutation carriers, and it is uncommon before age 45 years in <i>BRCA2</i>:6174delT mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_88_212">212</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_213">213</a>]</p></div><div id="CDR0000062855__136"><h4>Pathology of breast cancer</h4><div id="CDR0000062855__759"><h5><i>BRCA1</i> pathology</h5><p id="CDR0000062855__2113">Several studies evaluating pathologic patterns seen in <i>BRCA1</i>-associated breast cancers have suggested an association with adverse pathologic and biologic features. These findings include higher than expected frequencies of medullary histology, high histologic grade, areas of necrosis, trabecular growth pattern, aneuploidy, high S-phase fraction, high mitotic index, and frequent <i>TP53</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_88_214">214</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_221">221</a>] In a large international series of 3,797 <i>BRCA1</i> mutation carriers, the median age at breast cancer diagnosis was 40 years.[<a class="bk_pop" href="#CDR0000062855_rl_88_221">221</a>] Of breast tumors arising in <i>BRCA1</i> carriers, 78% were ER-negative; 79% were PR-negative; 90% were HER2-negative; and 69% were triple-negative. These findings were consistent with multiple smaller series.[<a class="bk_pop" href="#CDR0000062855_rl_88_83">83</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_217">217</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_222">222</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_224">224</a>] In addition, the proportion of ER-negative tumors significantly decreased as the age at breast cancer diagnosis increased.[<a class="bk_pop" href="#CDR0000062855_rl_88_221">221</a>] </p><p id="CDR0000062855__2114">There is considerable, but not complete, overlap between the triple-negative and basal-like subtype cancers, both of which are common in <i>BRCA1</i>-associated breast cancer,[<a class="bk_pop" href="#CDR0000062855_rl_88_225">225</a>
|
||
,<a class="bk_pop" href="#CDR0000062855_rl_88_226">226</a>] particularly in women diagnosed before age 50 years.[<a class="bk_pop" href="#CDR0000062855_rl_88_83">83</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_85">85</a>] A small proportion of <i>BRCA1</i>-related breast cancers are ER-positive, which are associated with later age of onset.[<a class="bk_pop" href="#CDR0000062855_rl_88_227">227</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_228">228</a>] These ER-positive cancers have clinical behavior features that are "intermediate" between ER-negative <i>BRCA1</i> cancers and ER-positive sporadic breast cancers, raising the possibility that there may be a unique mechanism by which they develop.</p><p id="CDR0000062855__2448">The prevalence of germline <i>BRCA1</i> mutations in women with triple-negative breast cancer is significant, both in women undergoing clinical genetic testing (and thus selected in large part for family history) and in unselected triple-negative patients, with mutations reported in 9% to 35%.[<a class="bk_pop" href="#CDR0000062855_rl_88_85">85</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_86">86</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_222">222</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_229">229</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_232">232</a>] Notably, studies have demonstrated a high rate of <i>BRCA1</i> mutations in unselected women with triple-negative breast cancer, particularly in those diagnosed before age 50 years. A large report of 1,824 patients with triple-negative breast cancer unselected for family history, recruited through 12 studies, identified 14.6% with a mutation in an inherited cancer susceptibility gene.[<a class="bk_pop" href="#CDR0000062855_rl_88_232">232</a>] <i>BRCA1</i> mutations accounted for the largest proportion (8.5%), followed by <i>BRCA2</i> (2.7%); <i>PALB2</i> (1.2%); and <i>BARD1</i>, <i>RAD51D</i>, <i>RAD51C</i> and <i>BRIP1</i> (0.3%–0.5% for each gene). In this study, those with mutations in <i>BRCA1/2</i> or other inherited cancer genes were diagnosed at an earlier age and had higher grade tumors than those without mutations. Specifically, among <i>BRCA1</i> mutation carriers, the average age at diagnosis was 44 years, and 94% had high-grade tumors. One study examined 308 individuals with triple-negative breast cancer; <i>BRCA1</i> mutations were present in 45. Mutations were seen both in women unselected for family history (11 of 58; 19%) and in those with family history (26 of 111; 23%).[<a class="bk_pop" href="#CDR0000062855_rl_88_233">233</a>] A meta-analysis based on 2,533 patients from 12 studies was conducted to assess the risk of a <i>BRCA1</i> mutation in high-risk women with triple-negative breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_234">234</a>] Results indicated that the relative risk of a <i>BRCA1</i> mutation among women with versus without triple-negative breast cancer is 5.65 (95% CI, 4.15–7.69), and approximately two in nine women with triple-negative disease harbor a <i>BRCA1</i> mutation. Interestingly, a study of 77 unselected patients with triple-negative breast cancer in which 15 (19.5%) had a germline or somatic <i>BRCA1/2</i> mutation demonstrated a lower risk of relapse in those with <i>BRCA1</i> mutation–associated triple-negative breast cancer than in those with nonmutated triple-negative breast cancer; this study was limited by its size.[<a class="bk_pop" href="#CDR0000062855_rl_88_230">230</a>] A second study examining clinical outcomes in <i>BRCA1</i>-associated versus non-<i>BRCA1</i>-associated triple-negative breast cancer showed no difference, although there was a trend toward more brain metastases in those with <i>BRCA1</i>-associated breast cancer. In both of these studies, all but one <i>BRCA1</i> mutation carrier received chemotherapy.[<a class="bk_pop" href="#CDR0000062855_rl_88_235">235</a>] </p><p id="CDR0000062855__2115">It has been hypothesized that many <i>BRCA1</i> tumors are derived from the basal
|
||
epithelial layer of cells of the normal mammary gland, which account for 3% to 15% of unselected invasive ductal cancers. If the basal epithelial cells of the breast represent the breast stem cells, the regulatory role suggested for wild-type <i>BRCA1</i> may partly explain the aggressive phenotype of <i>BRCA1</i>-associated breast cancer when <i>BRCA1</i> function is damaged.[<a class="bk_pop" href="#CDR0000062855_rl_88_236">236</a>] Further studies are needed to fully appreciate the significance of this subtype of breast cancer within the hereditary syndromes.</p><p id="CDR0000062855__2116">The most accurate method for identifying basal-like breast cancers is through gene expression studies, which have been used to classify breast cancers into biologically and clinically meaningful groups.[<a class="bk_pop" href="#CDR0000062855_rl_88_223">223</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_237">237</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_238">238</a>] This technology has also been shown to correctly differentiate <i>BRCA1</i>- and <i>BRCA2</i>-associated tumors from sporadic tumors in a high proportion of cases.[<a class="bk_pop" href="#CDR0000062855_rl_88_239">239</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_241">241</a>] Notably, among a set of breast tumors studied by gene expression array to determine molecular phenotype, all tumors with<i> BRCA1</i> alterations fell within the basal tumor subtype;[<a class="bk_pop" href="#CDR0000062855_rl_88_223">223</a>] however, this technology is not in routine use due to its high cost. Instead, immunohistochemical markers of basal epithelium have been proposed to identify basal-like breast cancers, which are typically negative for ER, progesterone receptor, and HER2, and stain positive for cytokeratin 5/6, or epidermal growth factor receptor.[<a class="bk_pop" href="#CDR0000062855_rl_88_242">242</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_245">245</a>] Based on these methods to measure protein expression, a number of studies have shown that the majority of <i>BRCA1</i>-associated breast cancers are positive for basal epithelial markers.[<a class="bk_pop" href="#CDR0000062855_rl_88_83">83</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_217">217</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_244">244</a>]</p><p id="CDR0000062855__2117">There is growing evidence that preinvasive lesions are a component of the <i>BRCA</i> phenotype. The Breast Cancer Linkage Consortium
|
||
initially reported a relative lack of an <i>in situ</i> component in <i>BRCA1-</i>associated
|
||
breast cancers,[<a class="bk_pop" href="#CDR0000062855_rl_88_215">215</a>] also seen in two subsequent studies of <i>BRCA1/BRCA2</i> carriers.[<a class="bk_pop" href="#CDR0000062855_rl_88_246">246</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_247">247</a>] However, in a study of 369 ductal carcinoma <i>in situ</i> (DCIS) cases, <i>BRCA1</i> and <i>BRCA2</i> mutations were detected in 0.8% and 2.4%, respectively, which is only slightly lower than previously reported prevalence in studies of invasive breast cancer patients.[<a class="bk_pop" href="#CDR0000062855_rl_88_248">248</a>] A retrospective study of breast cancer cases in a high-risk clinic found similar rates of preinvasive lesions, particularly DCIS, among 73 <i>BRCA</i>-associated breast cancers and 146 mutation-negative cases.[<a class="bk_pop" href="#CDR0000062855_rl_88_249">249</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_250">250</a>] A study of AJ women, stratified by whether they were referred to a high-risk clinic or were unselected, showed similar prevalence of DCIS and invasive breast cancers in referred patients compared with one-third lower DCIS cases among unselected subjects.[<a class="bk_pop" href="#CDR0000062855_rl_88_251">251</a>] Similarly, data about the prevalence of hyperplastic lesions have been inconsistent, with reports of increased [<a class="bk_pop" href="#CDR0000062855_rl_88_252">252</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_253">253</a>] and decreased prevalence.[<a class="bk_pop" href="#CDR0000062855_rl_88_247">247</a>] Similar to invasive breast cancer, DCIS diagnosed at an early age and/or with a family history of breast and/or ovarian cancer is more likely to be associated with a <i>BRCA1/BRCA2</i> mutation.[<a class="bk_pop" href="#CDR0000062855_rl_88_254">254</a>]</p><p id="CDR0000062855__2118">Overall evidence suggests DCIS is part of the <i>BRCA1/BRCA2</i> spectrum, particularly <i>BRCA2</i>; however, the prevalence of mutations in DCIS patients, unselected for family history, is less than 5%.[<a class="bk_pop" href="#CDR0000062855_rl_88_248">248</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_251">251</a>]</p></div><div id="CDR0000062855__766"><h5><i>BRCA2</i> pathology</h5><p id="CDR0000062855__2119">The phenotype for <i>BRCA2</i>-related tumors appears to be more heterogeneous and is less well-characterized than that of <i>BRCA1</i>, although they are generally positive for ER and PR.[<a class="bk_pop" href="#CDR0000062855_rl_88_215">215</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_255">255</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_256">256</a>] A large international series of 2,392 <i>BRCA2</i> mutation carriers found that only 23% of tumors arising in <i>BRCA2</i> mutation carriers were ER-negative; 36% were PR-negative; 87% were HER2-negative; and 16% were triple-negative.[<a class="bk_pop" href="#CDR0000062855_rl_88_221">221</a>] A large report of 1,824 patients with triple-negative breast cancer unselected for family history, recruited through 12 studies, identified 2.7% with a <i>BRCA2</i> mutation.[<a class="bk_pop" href="#CDR0000062855_rl_88_232">232</a>] (Refer to the <a href="#CDR0000062855__759">BRCA1 pathology</a> section of this summary for more information about this study.) A report from Iceland found less tubule formation, more nuclear pleomorphism, and higher mitotic rates in <i>BRCA2</i>-related tumors than in sporadic controls; however, a single <i>BRCA2</i> founder mutation (999del5) accounts for nearly all hereditary breast cancer in this population, thus limiting the generalizability of this observation.[<a class="bk_pop" href="#CDR0000062855_rl_88_257">257</a>] A large case series from North America and Europe described a greater proportion of <i>BRCA2</i>-associated tumors with continuous pushing margins (a histopathologic description of a pattern of invasion), fewer tubules and lower mitotic counts.[<a class="bk_pop" href="#CDR0000062855_rl_88_258">258</a>] Other reports suggest that <i>BRCA2</i>-related tumors include an excess of lobular and tubulolobular histology.[<a class="bk_pop" href="#CDR0000062855_rl_88_216">216</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_255">255</a>] In summary, histologic characteristics associated with <i>BRCA2</i> mutations have been inconsistent.</p></div><div id="CDR0000062855__2764"><h5>Role of <i>BRCA1</i> and <i>BRCA2</i> in sporadic breast cancer</h5><p id="CDR0000062855__2765">Given that germline mutations in <i>BRCA1</i> or <i>BRCA2</i> lead to a very high probability
|
||
of developing breast cancer, it was a natural assumption that
|
||
these genes would also be involved in the development of the more common
|
||
nonhereditary forms of the disease. Although somatic mutations in <i>BRCA1</i> and <i>BRCA2</i> are not common in sporadic breast cancer tumors,[<a class="bk_pop" href="#CDR0000062855_rl_88_259">259</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_262">262</a>] there is increasing evidence that hypermethylation of the gene promoter (BRCA1) and loss of heterozygosity (BRCA2) are frequent events. In fact, many breast cancers have low levels of the <i>BRCA1</i> mRNA, which may result from hypermethylation of the gene promoter.[<a class="bk_pop" href="#CDR0000062855_rl_88_263">263</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_265">265</a>] Approximately 10% to 15% of sporadic breast cancers appear to have <i>BRCA1</i> promoter hypermethylation, and even more have downregulation of BRCA1 by other mechanisms. Basal-type breast cancers (ER negative, PR negative, HER2 negative, and cytokeratin 5/6 positive) more commonly have BRCA1 dysregulation than other tumor types.[<a class="bk_pop" href="#CDR0000062855_rl_88_266">266</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_268">268</a>] <i>BRCA1</i>-related tumor characteristics have also been associated with constitutional methylation of the <i>BRCA1</i> promoter. In a study of 255 breast cancers diagnosed before age 40 years in women without germline <i>BRCA1</i> mutations, methylation of <i>BRCA1</i> in peripheral blood was observed in 31% of women whose tumors had multiple <i>BRCA1</i>-associated pathological characteristics (e.g., high mitotic index and growth pattern including multinucleated cells) compared with less than 4% methylation in controls.[<a class="bk_pop" href="#CDR0000062855_rl_88_269">269</a>] (Refer to the <a href="#CDR0000062855__759">BRCA1 pathology</a> section for more information.) Although hypermethylation has not been reported for <i>BRCA2</i> mutations, the <i>BRCA2</i> locus on chromosome 13q is the target of frequent <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000464169/" class="def">loss of heterozygosity (LOH)</a> in breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_270">270</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_271">271</a>] Targeted therapies are being developed for tumors with loss of BRCA1 or BRCA2 protein expression.[<a class="bk_pop" href="#CDR0000062855_rl_88_272">272</a>]</p></div></div><div id="CDR0000062855__408"><h4>Pathology of ovarian cancer</h4><p id="CDR0000062855__2653">Ovarian cancers in women with <i>BRCA1</i> and <i>BRCA2</i> mutations are more likely to be high-grade serous adenocarcinomas and are less likely to be mucinous or borderline tumors.[<a class="bk_pop" href="#CDR0000062855_rl_88_273">273</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_277">277</a>] Fallopian tube cancer and peritoneal carcinomas are also part of the <i>BRCA</i>-associated disease spectrum.[<a class="bk_pop" href="#CDR0000062855_rl_88_69">69</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_278">278</a>]</p><p id="CDR0000062855__2654">Histopathologic examinations of fallopian tubes removed from women with a hereditary predisposition to ovarian cancer show dysplastic and hyperplastic lesions that suggest a premalignant phenotype.[<a class="bk_pop" href="#CDR0000062855_rl_88_279">279</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_280">280</a>] Occult carcinomas have been reported in 2% to 11% of adnexa removed from <i>BRCA</i> mutation carriers at the time of risk-reducing surgery.[<a class="bk_pop" href="#CDR0000062855_rl_88_281">281</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_283">283</a>] Most of these occult lesions are seen in the fallopian tubes, which has led to the hypothesis that many <i>BRCA</i>-associated ovarian cancers may actually have originated in the fallopian tubes. Specifically, the distal segment of the fallopian tubes (containing the fimbriae) has been implicated as a common origin of the high-grade serous cancers seen in <i>BRCA</i> mutation carriers, based on the close proximity of the fimbriae to the ovarian surface, exposure of the fimbriae to the peritoneal cavity, and the broad surface area in the fimbriae.[<a class="bk_pop" href="#CDR0000062855_rl_88_284">284</a>] Because of the multicentric origin of high-grade serous carcinomas from Müllerian-derived tissue, staging of ovarian, tubal, and peritoneal carcinomas is now considered collectively by the International Federation of Gynecology and Obstetrics. The term “high-grade serous ovarian carcinoma” may be used to represent high-grade pelvic serous carcinoma for consistency in language.[<a class="bk_pop" href="#CDR0000062855_rl_88_285">285</a>]</p><p id="CDR0000062855__2655">High-grade serous ovarian carcinomas have a higher incidence of somatic <i>TP53 </i>mutations.[<a class="bk_pop" href="#CDR0000062855_rl_88_273">273</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_286">286</a>] DNA microarray technology suggests distinct molecular pathways of carcinogenesis between <i>BRCA1</i>, <i>BRCA2</i>, and sporadic ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_287">287</a>] Furthermore, data suggest that <i>BRCA</i>-related ovarian cancers metastasize more frequently to the viscera, while sporadic ovarian cancers remain confined to the peritoneum.[<a class="bk_pop" href="#CDR0000062855_rl_88_288">288</a>]</p><p id="CDR0000062855__2656">Unlike high-grade serous carcinomas, low-grade serous ovarian cancer is not likely to be part of the <i>BRCA1/BRCA2</i> spectrum.[<a class="bk_pop" href="#CDR0000062855_rl_88_289">289</a>]</p><div id="CDR0000062855__125"><h5>Role of <i>BRCA1</i> and <i>BRCA2</i> in sporadic ovarian cancer</h5><p id="CDR0000062855__126">Given that germline mutations in <i>BRCA1</i> or <i>BRCA2</i> lead to a very high probability
|
||
of developing ovarian cancer, it was a natural assumption that
|
||
these genes would also be involved in the development of the more common
|
||
nonhereditary forms of the disease. Although somatic mutations in <i>BRCA1</i> and <i>BRCA2</i> are not common in sporadic ovarian cancer tumors,[<a class="bk_pop" href="#CDR0000062855_rl_88_259">259</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_262">262</a>] there is increasing evidence that hypermethylation of the gene promoter (BRCA1) and loss of heterozygosity (BRCA2) are frequent events. Loss of BRCA1 or BRCA2 protein expression is more common in ovarian cancer than in breast cancer,[<a class="bk_pop" href="#CDR0000062855_rl_88_290">290</a>] and downregulation of BRCA1 is associated with enhanced sensitivity to cisplatin and improved survival in this disease.[<a class="bk_pop" href="#CDR0000062855_rl_88_291">291</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_292">292</a>] Targeted therapies are being developed for tumors with loss of BRCA1 or BRCA2 protein expression.[<a class="bk_pop" href="#CDR0000062855_rl_88_272">272</a>]</p></div></div></div><div id="CDR0000062855__1304"><h3>Other High-Penetrance Syndromes Associated With Breast and/or Gynecologic Cancers</h3><div id="CDR0000062855__2273"><h4>Lynch syndrome</h4><p id="CDR0000062855__2274">Lynch syndrome (LS) is characterized by autosomal dominant inheritance of susceptibility to predominantly right-sided colon cancer, endometrial cancer, ovarian cancer, and other extracolonic cancers (including cancer of the renal pelvis, ureter, small bowel, and pancreas), multiple primary cancers, and a young age of onset of cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_293">293</a>] The condition is caused by germline mutations in the MMR genes, which are involved in repair of DNA mismatch mutations.[<a class="bk_pop" href="#CDR0000062855_rl_88_294">294</a>] The <i>MLH1</i> and <i>MSH2</i> genes are the most common susceptibility genes for LS, accounting for 80% to 90% of observed mutations,[<a class="bk_pop" href="#CDR0000062855_rl_88_295">295</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_296">296</a>] followed by <i>MSH6</i> and <i>PMS2</i>.[<a class="bk_pop" href="#CDR0000062855_rl_88_297">297</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_302">302</a>] (Refer to the <a href="/books/n/pdqcis/CDR0000062863/#CDR0000062863__120">LS</a> section in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062863/">Genetics of Colorectal Cancer </a> for more information about this syndrome.)</p><p id="CDR0000062855__2741">After colorectal cancer, endometrial cancer is the second hallmark cancer of a family with Lynch syndrome. Even in the original Family G, described by Dr. Aldred Scott Warthin, numerous family members were noted to have extracolonic cancers including endometrial cancer. Although the first version of the Amsterdam criteria did not include endometrial cancer,[<a class="bk_pop" href="#CDR0000062855_rl_88_303">303</a>] in 1999, the Amsterdam criteria were revised to include endometrial cancer as extracolonic tumors associated with LS to identify families at risk.[<a class="bk_pop" href="#CDR0000062855_rl_88_304">304</a>] In addition, the Bethesda guidelines in 1997 (revised in 2004) did include endometrial and ovarian cancers as LS-related cancers to prompt tumor testing for LS.[<a class="bk_pop" href="#CDR0000062855_rl_88_305">305</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_306">306</a>]</p><p id="CDR0000062855__2275">The lifetime risk of ovarian carcinoma in females with LS is estimated to be as high as 12%, and the reported RR of ovarian cancer has ranged from 3.6 to 13, based on families ascertained from high-risk clinics with known or suspected LS.[<a class="bk_pop" href="#CDR0000062855_rl_88_307">307</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_312">312</a>] Characteristics of LS-associated ovarian cancers may include overrepresentation of the International Federation of Gynecology and Obstetrics stages 1 and 2 at diagnosis (reported as 81.5%), underrepresentation of serous subtypes (reported as 22.9%) and a better 10-year survival (reported as 80.6%) than reported both in population-based series and in <i>BRCA</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_88_313">313</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_314">314</a>] </p><p id="CDR0000062855__sm_CDR0000743132_2"><div class="milestone-start" id="CDR0000062855__sm_CDR0000743132_1"></div>The issue of breast cancer risk in LS has been controversial. Retrospective studies have been inconsistent, but several have demonstrated microsatellite instability in a proportion of breast cancers from individuals with LS;[<a class="bk_pop" href="#CDR0000062855_rl_88_315">315</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_318">318</a>] one of these studies evaluated breast cancer risk in individuals with LS and found that it is not elevated.[<a class="bk_pop" href="#CDR0000062855_rl_88_318">318</a>] However, the largest prospective study to date of 446 unaffected mutation carriers from the Colon Cancer Family Registry [<a class="bk_pop" href="#CDR0000062855_rl_88_319">319</a>] who were followed for up to 10 years reported an elevated SIR of 3.95 for breast cancer (95% CI, 1.59–8.13; <i>P</i> = .001).[<a class="bk_pop" href="#CDR0000062855_rl_88_319">319</a>] The same group subsequently analyzed data on 764 MMR gene mutation carriers with a prior diagnosis of colorectal cancer. Results showed that the 10-year risk of breast cancer following colorectal cancer was 2% (95% CI, 1%–4%) and that the SIR was 1.76 (95% CI, 1.07–2.59).[<a class="bk_pop" href="#CDR0000062855_rl_88_320">320</a>] However, further studies are needed to define absolute risks and age distribution before surveillance guidelines for breast cancer can be developed for MMR mutation carriers.<div class="milestone-end"></div></p></div><div id="CDR0000062855__144"><h4>Li-Fraumeni syndrome</h4><p id="CDR0000062855__145">Breast cancer is also a component of the rare Li-Fraumeni syndrome (LFS) (<a href="/omim/151623" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>), in
|
||
which germline mutations of the <i>TP53</i> gene (<a href="/omim/191170" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>) on chromosome 17p have been
|
||
documented.[<a class="bk_pop" href="#CDR0000062855_rl_88_321">321</a>] This syndrome is characterized by premenopausal breast cancer
|
||
in combination with childhood sarcoma, brain tumors, leukemia, and
|
||
adrenocortical carcinoma.[<a class="bk_pop" href="#CDR0000062855_rl_88_322">322</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_323">323</a>] Tumors in LFS families tend to occur in
|
||
childhood and early adulthood, and often present as multiple primaries in the
|
||
same individual. Evidence supports a genotype-phenotype correlation, with an association of the location of the mutation, the kind of cancer that develops, and the age of onset.[<a class="bk_pop" href="#CDR0000062855_rl_88_324">324</a>] Brain and adrenal gland tumors were associated with specific sites of missense mutations. Age at onset of breast cancer was 34.6 years in families with a <i>TP53</i> mutation compared with 42.5 years in those families without a mutation. A germline mutation in the <i>TP53</i> gene has been identified in
|
||
more than 50% of families exhibiting this syndrome, and inheritance is
|
||
autosomal dominant, with a penetrance of at least 50% by age 50 years.
|
||
</p><p id="CDR0000062855__1623">Germline <i>TP53</i> mutations were identified in 17% (n = 91) of 525 samples submitted to City of Hope laboratories for clinical <i>TP53</i> testing. All families with a <i>TP53</i> mutation had at least one family member with a sarcoma, breast cancer, brain cancer, or adrenocortical cancer (core cancers). In addition, all eight individuals with a choroid plexus tumor had a <i>TP53</i> mutation, as did 14 of the 21 individuals with childhood adrenocortical cancer. In women aged 30 to 49 years who had breast cancer but no family history of other core cancers, no <i>TP53</i> mutations were found. <i>TP53</i> mutations are uncommon in women with breast cancer before age 30 years with no other indications for <i>TP53 </i>screening (e.g., a family history of sarcoma). In three studies, the numbers of women with <i>TP53</i> mutations were 0 (of 95), 1 (of 14), and 2 (of 52).[<a class="bk_pop" href="#CDR0000062855_rl_88_325">325</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_327">327</a>]</p><p id="CDR0000062855__146">Located on chromosome 17p, <i>TP53</i> encodes a 53kd nuclear phosphoprotein that binds
|
||
DNA sequences and functions as a negative regulator of cell growth and
|
||
proliferation in the setting of DNA damage. It is also an
|
||
active component of programmed cell death.[<a class="bk_pop" href="#CDR0000062855_rl_88_328">328</a>] Inactivation of the <i>TP53</i> gene
|
||
or disruption of the protein product is thought to allow the persistence of
|
||
damaged DNA and the possible development of malignant cells.[<a class="bk_pop" href="#CDR0000062855_rl_88_323">323</a>] Evidence
|
||
also exists that patients treated for a <i>TP53</i>-related tumor with chemotherapy or
|
||
radiation therapy may be at risk of a treatment-related second malignancy.
|
||
Germline mutations in <i>TP53</i> are thought to account for fewer than 1% of breast cancer cases.[<a class="bk_pop" href="#CDR0000062855_rl_88_329">329</a>] <i>TP53</i>-associated breast cancer is often HER2/neu-positive, in addition to being ER-positive, PR-positive, or both.[<a class="bk_pop" href="#CDR0000062855_rl_88_330">330</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_332">332</a>]</p><p id="CDR0000062855__2322">Screening for breast cancer with annual MRI is recommended;[<a class="bk_pop" href="#CDR0000062855_rl_88_88">88</a>] additional screening for other cancers has been studied and is evolving.[<a class="bk_pop" href="#CDR0000062855_rl_88_333">333</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_334">334</a>] </p></div><div id="CDR0000062855__148"><h4><i>PTEN</i> hamartoma tumor syndromes (including Cowden syndrome)</h4><p id="CDR0000062855__sm_CDR0000766497_2560"><div class="milestone-start" id="CDR0000062855__sm_CDR0000766497_2721"></div>Cowden syndrome and Bannayan-Riley-Ruvalcaba Syndrome (BRRS) are part of a spectrum of conditions known collectively as <i>PTEN</i> hamartoma tumor syndromes. Approximately 85% of patients diagnosed with Cowden syndrome, and approximately 60% of patients with BRRS have an identifiable mutation of <i>PTEN</i>.[<a class="bk_pop" href="#CDR0000062855_rl_88_335">335</a>] In addition, <i>PTEN</i> mutations have been identified in patients with very diverse clinical phenotypes.[<a class="bk_pop" href="#CDR0000062855_rl_88_336">336</a>] The term <i>PTEN</i> hamartoma tumor syndromes refers to any patient with a <i>PTEN</i> mutation, irrespective of clinical presentation.</p><p id="CDR0000062855__sm_CDR0000766497_2561"><i>PTEN</i> functions as a dual-specificity phosphatase that removes phosphate groups from tyrosine, serine, and threonine. Mutations of <i>PTEN</i> are diverse, including <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000671174/" class="def">nonsense</a>, missense, frameshift, and <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000766216/" class="def">splice-variant mutations</a>. Approximately 40% of mutations are found in exon 5, which represents the phosphate core motif, and several recurrent mutations have been observed.[<a class="bk_pop" href="#CDR0000062855_rl_88_337">337</a>] Individuals with mutations in the 5’ end or within the phosphatase core of <i>PTEN</i> tend to have more organ systems involved.[<a class="bk_pop" href="#CDR0000062855_rl_88_338">338</a>]</p><p id="CDR0000062855__sm_CDR0000766497_2605">Operational criteria for the diagnosis of Cowden syndrome have been published and subsequently updated.[<a class="bk_pop" href="#CDR0000062855_rl_88_339">339</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_340">340</a>] These included <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000454769/" class="def">pathognomonic</a> criteria consisting of certain mucocutaneous manifestations and adult onset dysplastic gangliocytoma of the cerebellum (Lhermitte-Duclos disease). An updated set of criteria have been suggested based on a systematic review.[<a class="bk_pop" href="#CDR0000062855_rl_88_341">341</a>] Contrary to previous criteria, the authors concluded that there was insufficient evidence for any features to be classified as pathognomonic. With increased utilization of genetic testing, especially the use of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000763019/" class="def">multigene cancer panels</a>, clinical criteria for Cowden syndrome will need to be reconciled with the phenotype of individuals with documented germline <i>PTEN</i> mutations who do not meet these criteria. Until then, whether Cowden syndrome and the other <i>PTEN</i> hamartoma tumor syndromes will be defined clinically or based on the results of genetic testing remains ambiguous.</p><p id="CDR0000062855__sm_CDR0000766497_2720">Over a 10-year period, the International Cowden Consortium (ICC) prospectively recruited a consecutive series of adult and pediatric patients meeting relaxed ICC criteria for <i>PTEN</i> testing in the United States, Europe, and Asia.[<a class="bk_pop" href="#CDR0000062855_rl_88_342">342</a>] The vast majority of individuals did not meet the clinical criteria for a diagnosis of Cowden syndrome or BRRS. Of the 3,399 individuals recruited and tested, 295 probands (8.8%) and an additional 73 family members were found to harbor germline <i>PTEN</i> mutations. In addition to breast, thyroid, and endometrial cancers, the authors concluded that on the basis of cancer risk, melanoma, kidney cancer, and colorectal cancers should be considered part of the cancer spectra arising from germline <i>PTEN</i> mutations. A second study of approximately 100 patients with a germline <i>PTEN</i> mutation confirmed these findings and suggested a cumulative cancer risk of 85% by the age of 70 years.<div class="milestone-end"></div>[<a class="bk_pop" href="#CDR0000062855_rl_88_343">343</a>]</p><p id="CDR0000062855__149">Although <i>PTEN</i> mutations, which are estimated to occur in 1 in 200,000 individuals,[<a class="bk_pop" href="#CDR0000062855_rl_88_339">339</a>] account for a small fraction of hereditary
|
||
breast cancer, the characterization of PTEN function will provide valuable
|
||
insights into the signal pathway and the maintenance of normal cell
|
||
physiology.[<a class="bk_pop" href="#CDR0000062855_rl_88_339">339</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_344">344</a>] Lifetime breast cancer risk is estimated to be between 25% and 50% among women with Cowden syndrome.[<a class="bk_pop" href="#CDR0000062855_rl_88_345">345</a>] Other studies have reported risks as high as 85%;[<a class="bk_pop" href="#CDR0000062855_rl_88_342">342</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_343">343</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_346">346</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_347">347</a>] however, there are concerns regarding selection bias in these studies. As in
|
||
other forms of hereditary breast cancer, onset is often at a young age and may
|
||
be bilateral.[<a class="bk_pop" href="#CDR0000062855_rl_88_348">348</a>] Skin manifestations include multiple trichilemmomas, oral
|
||
fibromas and papillomas, and acral, palmar, and plantar keratoses. History or
|
||
observation of the characteristic skin features raises a suspicion of Cowden
|
||
syndrome. Central nervous system manifestations include macrocephaly, developmental delay, and dysplastic gangliocytomas of the cerebellum.[<a class="bk_pop" href="#CDR0000062855_rl_88_349">349</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_350">350</a>] (Refer to the PDQ summaries on <a href="/books/n/pdqcis/CDR0000062863/#CDR0000062863__2559">Genetics of Colorectal Cancer</a> and <a href="/books/n/pdqcis/CDR0000552637/#CDR0000552637__788">Genetics of Skin Cancer</a> for more information about <i>PTEN</i> hamartoma tumor syndromes [including Cowden syndrome].)</p></div><div id="CDR0000062855__2700"><h4>Diffuse gastric and lobular breast cancer syndrome</h4><p id="CDR0000062855__2701">The <i>E-cadherin</i> gene <i>CDH1</i> was first described in 1998 in three Maori families with multiple cases of diffuse gastric cancer (DGC), leading to the designation of hereditary diffuse gastric cancer (HDGC). There have been multiple subsequent reports of an excess of lobular breast cancer in HDGC families.[<a class="bk_pop" href="#CDR0000062855_rl_88_351">351</a>] <i>CDH1</i> is located on chromosome 16q22.1 and encodes the E-cadherin protein, a calcium-dependent homophilic adhesion molecule that plays a key role in cellular adhesion, cell polarity, cell signaling, and maintenance of cellular differentiation and tissue morphology.[<a class="bk_pop" href="#CDR0000062855_rl_88_352">352</a>] E-cadherin binds to various catenins to stabilize the cytoplasmic cell adhesion complex and to maintain the E-cadherin interaction with actin filament.[<a class="bk_pop" href="#CDR0000062855_rl_88_353">353</a>] Loss of <i>CDH1</i> can occur as a result of somatic mutations, loss of heterozygosity, or hypermethylation, and can result in dedifferentiation and invasiveness in human cancers.[<a class="bk_pop" href="#CDR0000062855_rl_88_354">354</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_355">355</a>] Classic histopathologic findings in gastrectomy specimens include <i>in situ</i> signet ring cells and/or pagetoid spread of signet ring cells. Of all gastric cancers, 1% to 3% are attributed to inherited gastric cancer syndromes.[<a class="bk_pop" href="#CDR0000062855_rl_88_356">356</a>]</p><p id="CDR0000062855__2702">HDGC is an autosomal dominant syndrome associated with poorly differentiated invasive adenocarcinoma of the stomach presenting as <i>linitis plastica</i>. It is a highly penetrant and highly fatal syndrome, with a risk of clinical DGC ranging from 40% to 83%.[<a class="bk_pop" href="#CDR0000062855_rl_88_351">351</a>] The risk of lobular breast cancer, which is characterized by small uniform cells that tend to invade in “single files,” is also increased in HDGC. Although invasive lobular breast cancer represents only 10% to 15% of all breast cancers, the lifetime risk of lobular breast cancer in <i>CDH1</i> mutation carriers ranges from 30% to 50%.[<a class="bk_pop" href="#CDR0000062855_rl_88_353">353</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_354">354</a>] Guidelines for screening for <i>CDH1</i> vary but include multiple cases of DGC in a family, early age of DGC, or lobular breast cancer in a family with DGC. Approximately 25% of families meeting these criteria are found to have a deleterious mutation in <i>CDH1</i>.[<a class="bk_pop" href="#CDR0000062855_rl_88_356">356</a>] <i>CDH1</i> mutations have been found in some families with lobular breast cancer but no gastric cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_357">357</a>] The management of individuals with <i>CDH1</i> mutations without a family history of gastric cancer is unclear.[<a class="bk_pop" href="#CDR0000062855_rl_88_357">357</a>]</p></div><div id="CDR0000062855__sm_CDR0000738176_1248"><h4>Peutz-Jeghers syndrome (PJS)</h4><p id="CDR0000062855__sm_CDR0000738176_1249">PJS is an early-onset autosomal dominant disorder
|
||
characterized by melanocytic macules on the lips, the perioral region, and buccal region;
|
||
and multiple gastrointestinal polyps, both hamartomatous and
|
||
adenomatous.[<a class="bk_pop" href="#CDR0000062855_rl_88_358">358</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_360">360</a>] Germline mutations in the <i>STK11</i> gene at chromosome 19p13.3 have been identified in the vast majority of PJS families.[<a class="bk_pop" href="#CDR0000062855_rl_88_361">361</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_365">365</a>] The most common cancers in PJS are gastrointestinal. However, other organs are at increased risk of developing malignancies. For example, the cumulative risks have been estimated to be 32% to 54% for breast cancer [<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_368">368</a>] and 21% for ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>] A systematic review found a lifetime cumulative cancer risk, all sites combined, of up to 93% in patients with PJS.[<a class="bk_pop" href="#CDR0000062855_rl_88_369">369</a>] <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__sm_CDR0000738176_1250/?report=objectonly" target="object" rid-figpopup="figCDR0000062855smCDR00007381761250" rid-ob="figobCDR0000062855smCDR00007381761250">Table 7</a> shows the cumulative risk of these tumors. The high cumulative risk of cancers in PJS has led to the various screening recommendations summarized in the table of <a href="/books/n/pdqcis/CDR0000062863/#CDR0000062863__873">Published Recommendations for Diagnosis and Surveillance of Peutz-Jeghers Syndrome (PJS)</a> in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062863/">Genetics of Colorectal Cancer</a>.</p><p id="CDR0000062855__sm_CDR0000738176_1255">Females with PJS are also predisposed to the development of cervical adenoma malignum, a rare and very aggressive adenocarcinoma of the cervix.[<a class="bk_pop" href="#CDR0000062855_rl_88_370">370</a>] In addition, females with PJS commonly develop benign ovarian sex-cord tumors with annular tubules, whereas males with PJS are predisposed to development of Sertoli-cell testicular tumors;[<a class="bk_pop" href="#CDR0000062855_rl_88_371">371</a>] although neither of these two tumor types is malignant, they can cause symptoms related to increased estrogen production. </p><p id="CDR0000062855__sm_CDR0000738176_1247">Although the risk of malignancy appears to be exceedingly high in individuals with PJS based on the published literature, the possibility that selection and referral biases have resulted in over-estimates of these risks should be considered. </p><div id="CDR0000062855__sm_CDR0000738176_1250" class="table"><h3><span class="title">Table 7. Cumulative Cancer Risks in Peutz-Jeghers Syndrome Up To Specified Age<sup>a</sup></span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__sm_CDR0000738176_1250/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__sm_CDR0000738176_1250_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Site</th><th colspan="1" rowspan="1" style="vertical-align:top;">Age (y)</th><th colspan="1" rowspan="1" style="vertical-align:top;">Cumulative Risk (%)<sup>b</sup></th><th colspan="1" rowspan="1" style="vertical-align:top;">Reference(s)</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Any cancer</td><td colspan="1" rowspan="1" style="vertical-align:top;">60–70</td><td colspan="1" rowspan="1" style="vertical-align:top;">37–93</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_365">365</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_368">368</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_372">372</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_373">373</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">GI cancer<sup>c,d</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">60–70</td><td colspan="1" rowspan="1" style="vertical-align:top;">38–66</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_367">367</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_368">368</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_372">372</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_373">373</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Gynecological cancer</td><td colspan="1" rowspan="1" style="vertical-align:top;">60–70</td><td colspan="1" rowspan="1" style="vertical-align:top;">13–18</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_367">367</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_368">368</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>Per origin</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Stomach</td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td><td colspan="1" rowspan="1" style="vertical-align:top;">29</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Small bowel</td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td><td colspan="1" rowspan="1" style="vertical-align:top;">13</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Colorectum</td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td><td colspan="1" rowspan="1" style="vertical-align:top;">39</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_367">367</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Pancreas</td><td colspan="1" rowspan="1" style="vertical-align:top;">65–70</td><td colspan="1" rowspan="1" style="vertical-align:top;">11–36</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_367">367</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Lung</td><td colspan="1" rowspan="1" style="vertical-align:top;">65–70</td><td colspan="1" rowspan="1" style="vertical-align:top;">7–17</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_368">368</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Breast</td><td colspan="1" rowspan="1" style="vertical-align:top;">60–70</td><td colspan="1" rowspan="1" style="vertical-align:top;">32–54</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_368">368</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Uterus</td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td><td colspan="1" rowspan="1" style="vertical-align:top;">9</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Ovary</td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td><td colspan="1" rowspan="1" style="vertical-align:top;">21</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Cervix<sup>e</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td><td colspan="1" rowspan="1" style="vertical-align:top;">10</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>]</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Testes<sup>e</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td><td colspan="1" rowspan="1" style="vertical-align:top;">9</td><td colspan="1" rowspan="1" style="vertical-align:top;">[<a class="bk_pop" href="#CDR0000062855_rl_88_366">366</a>]</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">GI = gastrointestinal.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>a</sup>Reprinted with permission from Macmillan Publishers Ltd: Gastroenterology [<a class="bk_pop" href="#CDR0000062855_rl_88_369">369</a>], copyright 2010.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>b</sup>All cumulative risks were increased compared with the general population (P < .05), with the exception of cervix and testes.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>c</sup>GI cancers include colorectal, small intestinal, gastric, esophageal, and pancreatic.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>d</sup>Westerman et al.: GI cancer does not include pancreatic cancer.[<a class="bk_pop" href="#CDR0000062855_rl_88_372">372</a>]</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>e</sup>Did not include adenoma malignum of the cervix or Sertoli cell tumors of the testes.</p></div></dd></dl></div></div></div><div id="CDR0000062855__sm_CDR0000738176_1251"><h5>Peutz-Jeghers gene(s)</h5><p id="CDR0000062855__sm_CDR0000738176_1252">PJS is caused by mutations in the <i>STK11</i> (also called <i>LKB1</i>) tumor suppressor gene located on chromosome 19p13.[<a class="bk_pop" href="#CDR0000062855_rl_88_362">362</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_363">363</a>] Unlike the adenomas seen in familial adenomatous polyposis, the polyps arising in PJS are hamartomas. Studies of the hamartomatous polyps and cancers of PJS show allelic imbalance (loss of heterozygosity [LOH]) consistent with the two-hit hypothesis, demonstrating that <i>STK11</i> is a tumor suppressor gene.[<a class="bk_pop" href="#CDR0000062855_rl_88_374">374</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_375">375</a>] However, heterozygous <i>STK11</i> knockout mice develop hamartomas without inactivation of the remaining wild-type allele, suggesting that haploinsufficiency is sufficient for initial tumor development in PJS.[<a class="bk_pop" href="#CDR0000062855_rl_88_376">376</a>] Subsequently, the cancers that develop in <i>STK11</i> +/- mice do show LOH;[<a class="bk_pop" href="#CDR0000062855_rl_88_377">377</a>] indeed, compound mutant mice heterozygous for mutations in <i>STK11</i> +/- and homozygous for mutations in <i>TP53</i> -/- have accelerated development of both hamartomas and cancers.[<a class="bk_pop" href="#CDR0000062855_rl_88_378">378</a>]</p><p id="CDR0000062855__sm_CDR0000738176_1253">Germline mutations of the <i>STK11</i> gene represent a spectrum of nonsense, frameshift, and missense mutations, and splice-site variants and large deletions.[<a class="bk_pop" href="#CDR0000062855_rl_88_361">361</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_367">367</a>] Approximately 85% of mutations are localized to regions of the kinase domain of the expressed protein, and no germline mutations have been reported in exon 9. No strong genotype-phenotype correlations have been identified.[<a class="bk_pop" href="#CDR0000062855_rl_88_367">367</a>]</p><p id="CDR0000062855__sm_CDR0000738176_1254"><i>STK11</i> has been unequivocally demonstrated to cause PJS. Although earlier estimates using direct DNA sequencing showed a 50% mutation detection rate in <i>STK11</i>, studies adding techniques to detect large deletions have found mutations in up to 94% of individuals meeting clinical criteria for PJS.[<a class="bk_pop" href="#CDR0000062855_rl_88_361">361</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_369">369</a>,<a class="bk_pop" href="#CDR0000062855_rl_88_379">379</a>] Given the results of these studies, it is unlikely that other major genes cause PJS.</p></div></div></div><div id="CDR0000062855__2591"><h3>De Novo Mutation Rate</h3><p id="CDR0000062855__2592">Until the 1990s, the diagnosis of genetically inherited breast and ovarian cancer syndromes was based on clinical manifestations and family history. Now that some of the genes involved in these syndromes have been identified, a few studies have attempted to estimate the spontaneous mutation rate (<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460142/" class="def">de novo mutation</a> rate) in these populations. Interestingly, PJS, <i>PTEN</i> hamartoma syndromes, and LFS are all thought to have high rates of spontaneous mutations, in the 10% to 30% range,[<a class="bk_pop" href="#CDR0000062855_rl_88_380">380</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_383">383</a>] while estimates of de novo mutations in the <i>BRCA</i> genes are thought to be low, primarily on the basis of the few case reports published.[<a class="bk_pop" href="#CDR0000062855_rl_88_384">384</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_392">392</a>] Additionally, there has been only one case series of breast cancer patients who were tested for <i>BRCA</i> mutations in which a de novo mutation was identified. Specifically, in this study of 193 patients with sporadic breast cancer, 17 mutations were detected, one of which was confirmed to be a de novo mutation.[<a class="bk_pop" href="#CDR0000062855_rl_88_384">384</a>] As such, the de novo mutation rate appears to be low and fall into the 5% or less range, based on the limited studies performed.[<a class="bk_pop" href="#CDR0000062855_rl_88_384">384</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_392">392</a>] Similarly, estimates of de novo mutations in the MMR genes associated with LS are thought to be low, in the 0.9% to 5% range.[<a class="bk_pop" href="#CDR0000062855_rl_88_393">393</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_395">395</a>] However, it is important to note that these estimates of spontaneous mutation rates in the <i>BRCA</i> genes and LS genes seem to overlap with the estimates of nonpaternity rates in various populations (0.6%–3.3%),[<a class="bk_pop" href="#CDR0000062855_rl_88_396">396</a>-<a class="bk_pop" href="#CDR0000062855_rl_88_398">398</a>] making the de novo mutation rate for these genes relatively low.</p></div><div id="CDR0000062855_rl_88"><h3>References</h3><ol><li><div class="bk_ref" id="CDR0000062855_rl_88_1">Phipps RF, Perry PM: Familial breast cancer. 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[<a href="/pmc/articles/PMC3100488/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3100488</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/21404118" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21404118</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_389">Marshall M, Solomon S, Lawrence Wickerham D: Case report: de novo BRCA2 gene mutation in a 35-year-old woman with breast cancer. Clin Genet 76 (5): 427-30, 2009. [<a href="https://pubmed.ncbi.nlm.nih.gov/19796187" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19796187</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_390">Robson M, Scheuer L, Nafa K, et al.: Unique de novo mutation of BRCA2 in a woman with early onset breast cancer. J Med Genet 39 (2): 126-8, 2002. [<a href="/pmc/articles/PMC1735025/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC1735025</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/11836363" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 11836363</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_391">Tesoriero A, Andersen C, Southey M, et al.: De novo BRCA1 mutation in a patient with breast cancer and an inherited BRCA2 mutation. Am J Hum Genet 65 (2): 567-9, 1999. [<a href="/pmc/articles/PMC1377956/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC1377956</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/10417300" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 10417300</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_392">van der Luijt RB, van Zon PH, Jansen RP, et al.: De novo recurrent germline mutation of the BRCA2 gene in a patient with early onset breast cancer. J Med Genet 38 (2): 102-5, 2001. [<a href="/pmc/articles/PMC1734809/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC1734809</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/11158174" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 11158174</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_393">Morak M, Laner A, Scholz M, et al.: Report on de-novo mutation in the MSH2 gene as a rare event in hereditary nonpolyposis colorectal cancer. Eur J Gastroenterol Hepatol 20 (11): 1101-5, 2008. [<a href="https://pubmed.ncbi.nlm.nih.gov/19047842" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19047842</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_394">Plasilova M, Zhang J, Okhowat R, et al.: A de novo MLH1 germ line mutation in a 31-year-old colorectal cancer patient. Genes Chromosomes Cancer 45 (12): 1106-10, 2006. [<a href="https://pubmed.ncbi.nlm.nih.gov/16955466" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16955466</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_395">Win AK, Jenkins MA, Buchanan DD, et al.: Determining the frequency of de novo germline mutations in DNA mismatch repair genes. J Med Genet 48 (8): 530-4, 2011. [<a href="/pmc/articles/PMC3436601/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3436601</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/21636617" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21636617</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_396">Anderson KG: How well does paternity confidence match actual paternity? Evidence from worldwide
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nonpaternity rates. Curr Anthropol 47 (3): 513-20, 2006. <a href="http://www.jstor.org/stable/10.1086/504167" ref="pagearea=cite-ref&targetsite=external&targetcat=link&targettype=uri">Also available online</a>. Last accessed October 16, 2013.</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_397">Sasse G, Müller H, Chakraborty R, et al.: Estimating the frequency of nonpaternity in Switzerland. Hum Hered 44 (6): 337-43, 1994 Nov-Dec. [<a href="https://pubmed.ncbi.nlm.nih.gov/7860087" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 7860087</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_88_398">Voracek M, Haubner T, Fisher ML: Recent decline in nonpaternity rates: a cross-temporal meta-analysis. Psychol Rep 103 (3): 799-811, 2008. [<a href="https://pubmed.ncbi.nlm.nih.gov/19320216" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19320216</span></a>]</div></li></ol></div></div><div id="CDR0000062855__156"><h2 id="_CDR0000062855__156_">Low- and Moderate-Penetrance Genes Associated With Breast and/or Ovarian Cancer</h2><div id="CDR0000062855__157"><h3>Background</h3><p id="CDR0000062855__1305"><a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000046063/" class="def">Mutations</a> in <i>BRCA1</i>, <i>BRCA2</i>, and the genes involved in other rare syndromes discussed in the <a href="#CDR0000062855__88">High-Penetrance Breast and/or Gynecologic Cancer Susceptibility Genes</a> section of this summary account for less than 25% of the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460148/" class="def">familial</a> risk of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_1">1</a>] Despite intensive genetic linkage studies, there do not appear to be other <i>BRCA1/BRCA2</i>-like high-<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339344/" class="def">penetrance</a>
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<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000045693/" class="def">genes</a> that account for a significant fraction of the remaining multiple-case familial clusters.[<a class="bk_pop" href="#CDR0000062855_rl_156_2">2</a>] These observations suggest that the remaining breast cancer susceptibility is polygenic in nature, meaning that a relatively large number of low-penetrance genes are involved.[<a class="bk_pop" href="#CDR0000062855_rl_156_3">3</a>] On its own, each low-penetrance <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460162/" class="def">locus</a> would be expected to have a relatively small effect on breast cancer risk and would not produce dramatic familial aggregation or influence patient management. However, in combination with other genetic loci and/or environmental factors, particularly given how common these can be, variants of this kind might significantly alter breast cancer risk. These types of genetic variations are sometimes referred to as “polymorphisms,” meaning that the gene or locus occurs in several “forms” within the population (and more formally defined as polymorphic when a specific variation in a given locus occurs in more than 1% of the population). Most loci that are polymorphic have no influence on disease risk or human traits (benign polymorphisms), while those that are associated with a difference in risk of disease or a human trait (however subtle) are sometimes termed “disease-associated polymorphisms” or “functionally relevant polymorphisms.” This polygenic model of susceptibility is consistent with the observed patterns of familial aggregation of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_4">4</a>] Although the clinical significance and causality of associations with breast cancer are often difficult to evaluate and establish, genetic polymorphisms may account for why some individuals are more sensitive than others to environmental carcinogens.[<a class="bk_pop" href="#CDR0000062855_rl_156_5">5</a>]</p><p id="CDR0000062855__1306">Polymorphisms underlying polygenic susceptibility to breast cancer are considered low penetrance, a term often applied to sequence variants associated with a minimal to moderate risk. This is in contrast to “high-penetrance” variants or <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339337/" class="def">alleles</a> that are typically associated with more severe <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460203/" class="def">phenotypes</a>, for example those <i>BRCA1/BRCA2</i> mutations leading to an <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339338/" class="def">autosomal dominant</a> inheritance patterns in a family. The definition of a “moderate” risk of cancer is arbitrary, but it is usually considered to be in the range of a relative risk (RR) of 1.5 to 2.0. Because these types of sequence variants (also called low-penetrance genes, alleles, mutations, and polymorphisms) are relatively common in the general population, their contribution to cancer risk overall is estimated to be much greater than the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000485393/" class="def">attributable risk</a> in the population from mutations in <i>BRCA1</i> and <i>BRCA2</i>. For example, it is estimated by <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000712689/" class="def">segregation analysis</a> that half of all breast cancer occurs in 12% of the population that is deemed most susceptible.[<a class="bk_pop" href="#CDR0000062855_rl_156_3">3</a>] There are no known low-penetrance variants in <i>BRCA1/BRCA2</i>. The N372H variation in <i>BRCA2</i>, initially thought to be a low-penetrance allele, was not verified in a large combined analysis.[<a class="bk_pop" href="#CDR0000062855_rl_156_6">6</a>]</p><p id="CDR0000062855__1307">Two strategies have been taken to identify low-penetrance polymorphisms leading to breast cancer susceptibility: candidate gene and genome-wide searches. Both involve the epidemiologic case-control study design. The candidate gene approach involves selecting genes based on their known or presumed biological function, relevance to carcinogenesis or organ physiology, and searching for or testing known genetic variants for an association with cancer risk. This strategy relies on imperfect and incomplete biological knowledge, and, despite some confirmed associations (described below), has been relatively disappointing.[<a class="bk_pop" href="#CDR0000062855_rl_156_6">6</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_7">7</a>] The candidate gene approach has largely been replaced by the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000636779/" class="def">genome-wide association studies</a> (GWAS) in which a very large number of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000458046/" class="def">single nucleotide polymorphisms</a> (SNPs) (potentially 1 million or more) are chosen within the genome and tested, mostly without regard to their possible biological function, but instead to capture all genetic variation throughout the genome more uniformly.</p></div><div id="CDR0000062855__1308"><h3>Breast Cancer Susceptibility Genes Identified Through Candidate Gene Approaches</h3><p id="CDR0000062855__1914">There is a very large literature of genetic epidemiology studies describing associations between various loci and breast cancer risk. Many of these studies suffer from significant design limitations. Perhaps as a consequence, most reported associations do not replicate in follow-up studies. This section is not a comprehensive review of all reported associations. This section describes associations that are believed by the editors to be clinically valid, in that they have been described in several studies or are supported by robust meta-analyses. The clinical utility of these observations remains unclear, however, as the risks associated with these variations usually fall below a threshold that would justify a clinical response.</p><div id="CDR0000062855__2779"><h4>Fanconi anemia genes</h4><p id="CDR0000062855__2784">Fanconi anemia (FA) is a rare, inherited condition characterized by bone marrow failure, increased risk of malignancy, and physical abnormalities. To date, 16 FA-related genes, including <i><a href="#CDR0000062855__2503">BRCA1 and BRCA2</a></i>, have been identified (as outlined in <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2837/?report=objectonly" target="object" rid-figpopup="figCDR00000628552837" rid-ob="figobCDR00000628552837">Table 8</a>). FA is mainly an autosomal recessive condition, except when caused by mutations in <i>FANCB</i>, which is X-linked recessive. <i>FANCA</i> accounts for 60% to 70% of mutations, <i>FANCC</i> accounts for approximately 14%, and the remaining genes each account for 3% or fewer.[<a class="bk_pop" href="#CDR0000062855_rl_156_8">8</a>]</p><div id="CDR0000062855__2837" class="table"><h3><span class="title">Table 8. Fanconi Anemia Genes and Breast Cancer Risk</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2837/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2837_lrgtbl__"><table class="no_margin"><tbody><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>High-Risk Genes</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>BRCA1</i> (<i>FANCD1</i>)<sup>a</sup>
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>BRCA2</i> (<i>FANCS</i>)<sup>a</sup>
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>PALB2</i> (<i>FANCN</i>)<sup>b</sup>
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Moderate-Risk Genes</b><sup>c</sup></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>BRIP1</i> (<i>FANCJ/BACH1</i>)
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>FANCD2</i>
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>RAD51C</i> (<i>FANCO</i>)
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genes With Uncertain or No Significantly Increased Risk</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>FANCA
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</i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>FANCB</i>
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>FANCC</i>
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>FANCE</i>
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>FANCF</i>
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">–
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<i>FANCG</i> (<i>XRCC9</i>)
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>FANCI</i> (<i>KIAA1794</i>)
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</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>FANCL</i></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>SLX4</i> (<i>FANCP</i>)</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>ERCC4</i> (<i>FANCQ/XPF</i>)
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</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin"><sup>a</sup>Refer to the <i><a href="#CDR0000062855__2503">BRCA1 and BRCA2</a></i> section of this summary for information about the cumulative risk of breast cancer in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>b</sup>Refer to the <i><a href="#CDR0000062855__2782">PALB2</a></i> section of this summary for information about the cumulative risk of breast cancer in <i>PALB2</i> mutation carriers.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>c</sup>Moderate risk is defined as a statistically significant, twofold or lower increased risk estimate.</p></div></dd></dl></div></div></div><p id="CDR0000062855__2785">Progressive bone marrow failure typically occurs in the first decade, with patients often presenting with thrombocytopenia or leucopenia. The incidence of bone marrow failure is 90% by age 40 to 50 years. The incidence is 10% to 30% for hematologic malignancies (primarily acute myeloid leukemia) and 25% to 30% for nonhematologic malignancies (solid tumors, particularly of the head and neck, skin, gastrointestinal [GI] tract, and genital tract). Physical abnormalities, including short stature, abnormal skin pigmentation, radial ray defects (including malformation of the thumbs), abnormalities of the urinary tract, eyes, ears, heart, GI system, and central nervous system, hypogonadism, and developmental delay are present in 60% to 75% of affected individuals.[<a class="bk_pop" href="#CDR0000062855_rl_156_8">8</a>]</p><p id="CDR0000062855__2786">Mutations in some of the FA genes, most notably <i>BRCA1</i> and <i>BRCA2</i>, but also <i>PALB2</i>, <i>RAD51C</i> (in the <a href="#CDR0000062855__2111">RAD51 family of genes</a>), and <i>BRIP1</i>, among others, may predispose to breast cancer in heterozygotes. Given the widespread availability of multiple-gene panel tests, genetic testing of many of the FA genes is frequently performed despite uncertain cancer risks and the lack of available evidence-based medical management recommendations for many of these genes.</p><p id="CDR0000062855__2787">FA gene mutation carrier status can have implications for reproductive decision-making because mutations in these genes can lead to serious childhood onset of disease if both parents are mutation carriers in the same gene. Partner testing may be considered.</p><div id="CDR0000062855__2780"><h5><i>BRIP1</i></h5><p id="CDR0000062855__2781"><i>BRIP1</i> (also known as <i>BACH1</i>) encodes a helicase that interacts with the <i>BRCA1 </i> C-terminal (BRCT) domain. This gene also has a role in BRCA1-dependent DNA repair and cell cycle checkpoint function. Biallelic mutations in <i>BRIP1</i> are a cause of Fanconi anemia,[<a class="bk_pop" href="#CDR0000062855_rl_156_9">9</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_11">11</a>] much like such mutations in <i>BRCA2</i>. Inactivating mutations of <i>BRIP1</i> are associated with an increased risk of breast cancer. In one study, more than 3,000 individuals from <i>BRCA1/BRCA2</i> mutation negative families were examined for <i>BRIP1</i> mutations. Mutations were identified in 9 of 1,212 individuals with breast cancer but in only 2 of 2,081 controls (<i>P</i> = .003). The RR of breast cancer was estimated to be 2.0 (95% confidence interval [CI], 1.2–3.2; <i>P</i> = .012). Of note, in families with <i>BRIP1</i> mutations and multiple cases of breast cancer, there was incomplete segregation of the mutation with breast cancer, consistent with a low penetrance allele and similar to that seen with <i>CHEK2</i>.[<a class="bk_pop" href="#CDR0000062855_rl_156_12">12</a>]</p></div><div id="CDR0000062855__2782"><h5><i>PALB2</i></h5><p id="CDR0000062855__1323">PALB2 (partner and localizer of BRCA2) interacts with the BRCA2 protein and plays a role in homologous recombination and double-stranded DNA repair. Similar to <i>BRIP1</i> and <i>BRCA2</i>, biallelic mutations in <i>PALB2</i> have also been shown to cause Fanconi anemia.[<a class="bk_pop" href="#CDR0000062855_rl_156_13">13</a>] </p><p id="CDR0000062855__2707"><i> PALB2</i> mutations have been screened for in multiple small studies of familial and early-onset breast cancer in multiple populations.[<a class="bk_pop" href="#CDR0000062855_rl_156_14">14</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_29">29</a>] Mutation prevalence has ranged from 0.4% to 3.9%. Similar to <i>BRIP1</i> and <i>CHEK2</i>, there was incomplete segregation of <i>PALB2</i> mutations in families with hereditary breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_15">15</a>] Among 559 cases with contralateral breast cancer and 565 matched controls with unilateral breast cancer, pathogenic (truncating) <i>PALB2</i> mutations were identified in 0.9% of cases and in none of the controls (RR, 5.3; 95% CI, 1.8–13.2).[<a class="bk_pop" href="#CDR0000062855_rl_156_26">26</a>]</p><p id="CDR0000062855__2708">Data based on 154 families with loss-of-function <i>PALB2</i> mutations suggest that this gene may be an important cause of hereditary breast cancer, with risks that overlap with <i>BRCA2</i>.[<a class="bk_pop" href="#CDR0000062855_rl_156_30">30</a>] In this study, analysis of 362 family members from 154 families with <i>PALB2</i> mutations indicated that the absolute risk of female breast cancer by age 70 years ranged from 33% (95% CI, 24–44) for those with no family history of breast cancer to 58% (95% CI, 50–66) for those with two or more first-degree relatives with early-onset breast cancer. Furthermore, among 63 breast cancer cases in which HER2 status was known, 30% had triple-negative disease. An earlier Finnish study reported on a <i>PALB2</i> founder mutation (c.1592delT) that confers a 40% risk of breast cancer to age 70 years [<a class="bk_pop" href="#CDR0000062855_rl_156_16">16</a>] and is associated with a high incidence (54%) of triple-negative disease and lower survival.[<a class="bk_pop" href="#CDR0000062855_rl_156_17">17</a>] Mutations have been observed in early-onset and familial breast cancer in many populations.[<a class="bk_pop" href="#CDR0000062855_rl_156_18">18</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_19">19</a>] A large report of 1,824 patients with triple-negative breast cancer unselected for family history, recruited through 12 studies, identified 1.2% with a <i>PALB2</i> mutation.[<a class="bk_pop" href="#CDR0000062855_rl_156_31">31</a>] (Refer to <a href="#CDR0000062855__759">BRCA1 pathology</a> section of this summary for more information about this study.)</p><p id="CDR0000062855__2819">In a later Polish study of more than 12,529 unselected women with breast cancer and 4,702 controls, <i>PALB2</i> mutations were detected in 116 cases (0.93%; 95% CI, 0.76–1.09) and 10 controls (0.21%; 95% CI, 0.08–0.34), with an odds ratio (OR) for breast cancer of 4.39 (95% CI, 36.5–63.2).[<a class="bk_pop" href="#CDR0000062855_rl_156_32">32</a>] The study findings confirm a substantially elevated risk of breast cancer (24%–40%) among women with a <i>PALB2</i> mutation up to age 75 years. The 5-year cumulative incidence of contralateral breast cancer was 10% among those with a <i>PALB2</i> mutation, compared with 17% among those with a <i>BRCA1</i> mutation and 3% among those without a mutation in either gene. Furthermore, the 10-year survival for women with a <i>PALB2</i> mutation and breast cancer was 48% (95% CI, 36.5–63.2), compared with 72.0% among those with a <i>BRCA1</i> mutation and 74.7% among those without a mutation in either gene. Among <i>PALB2</i> carriers, breast tumors 2 cm or larger had substantially worse outcomes (32.4% 10-year survival), compared with tumors smaller than 2 cm (82.4% 10-year survival). Approximately one-third of those with a <i>PALB2</i> mutation had triple-negative breast cancer, and the average age at breast cancer diagnosis was 53.3 years.</p><p id="CDR0000062855__2413">Male breast cancer has been observed in <i>PALB2</i> mutation–positive breast cancer families.[<a class="bk_pop" href="#CDR0000062855_rl_156_14">14</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_20">20</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_30">30</a>] In a study of 115 male breast cancer cases in which 18 men had <i>BRCA2</i> mutations, an additional two men had either a pathogenic or predicted pathogenic <i>PALB2</i> mutation (accounting for about 10% of germline mutations in the study and 1%–2% of the total sample).[<a class="bk_pop" href="#CDR0000062855_rl_156_14">14</a>] The RR of breast cancer for male <i>PALB2</i> mutation carriers compared with that seen in the general population was estimated to be 8.30 (95% CI, 0.77–88.56; <i>P</i> = .08) in the study of 154 families.[<a class="bk_pop" href="#CDR0000062855_rl_156_30">30</a>]</p><p id="CDR0000062855__2709">After the identification of <i>PALB2</i> mutations in pancreatic tumors and the detection of germline mutations in 3% of 96 familial pancreatic patients,[<a class="bk_pop" href="#CDR0000062855_rl_156_33">33</a>] numerous studies have pointed to a role for <i>PALB2</i> in pancreatic cancer. <i>PALB2</i> mutations were detected in 3.7% of 81 familial pancreatic cancer families [<a class="bk_pop" href="#CDR0000062855_rl_156_34">34</a>] and in 2.1% of 94 <i>BRCA1/2</i> mutation–negative breast cancer patients who had either a personal or family history of pancreatic cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_35">35</a>] Two relatively small studies—one of 77 <i>BRCA1/2</i> mutation–negative probands with a personal or family
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history of pancreatic cancer, one-half of whom were of Ashkenazi Jewish descent, and another study of 29 Italian pancreatic cancer patients with a personal or family history of breast or ovarian cancer—failed to detect any <i>PALB2</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_156_36">36</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_37">37</a>] A sixfold increase in pancreatic cancer was observed in the relatives of 33 <i>BRCA1/2</i>-negative, <i>PALB2</i> mutation–positive breast cancer probands.[<a class="bk_pop" href="#CDR0000062855_rl_156_20">20</a>]</p><p id="CDR0000062855__2414">Overall, the observed prevalence of <i>PALB2</i> mutations in familial breast cancer varied depending on ascertainment relative to personal and family history of pancreatic and ovarian cancers, but in
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all studies, the observed mutation rate was lower than 4%. Data suggest that the RR of breast cancer may overlap with that of <i>BRCA2</i>, particularly in those with a strong family history; thus, it remains important to refine cancer risk estimates in larger studies. Furthermore, the risk of other cancers (e.g., pancreatic) is poorly defined. Given the low <i>PALB2</i> mutation prevalence in the population, additional data are needed to define best candidates for testing and appropriate management.</p></div></div><div id="CDR0000062855__1309"><h4><i>CHEK2</i></h4><p id="CDR0000062855__1310"><i>CHEK2</i> (<a href="/omim/604373" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>) is a gene involved in the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000045671/" class="def">DNA</a> damage repair response pathway. Based on numerous studies, a polymorphism, 1100delC, appears to be a rare, moderate-penetrance cancer susceptibility allele.[<a class="bk_pop" href="#CDR0000062855_rl_156_38">38</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_43">43</a>] One study identified the mutation in 1.2% of the European controls, 4.2% of the European <i>BRCA1/BRCA2</i>-negative familial breast cancer cases, and 1.4% of unselected female breast cancer cases.[<a class="bk_pop" href="#CDR0000062855_rl_156_38">38</a>] In a group of 1,479 Dutch women younger than 50 years with invasive breast cancer, 3.7% were found to have the <i>CHEK2</i> 1100delC mutation.[<a class="bk_pop" href="#CDR0000062855_rl_156_44">44</a>] In additional European and U.S. (where the mutation appears to be slightly less common) studies, including a large prospective study,[<a class="bk_pop" href="#CDR0000062855_rl_156_45">45</a>] the frequency of <i>CHEK2</i> mutations detected in familial breast or ovarian cancer cases has ranged from 0% [<a class="bk_pop" href="#CDR0000062855_rl_156_46">46</a>] to 11%; overall, these studies have found an approximately 1.5-fold to 3-fold increased risk of female breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_45">45</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_47">47</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_50">50</a>] A multicenter combined analysis and reanalysis of nearly 20,000 subjects from ten case-control studies, however, has verified a significant 2.3-fold excess of breast cancer among mutation <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460132/" class="def">carriers</a>.[<a class="bk_pop" href="#CDR0000062855_rl_156_51">51</a>] A subsequent meta-analysis based on 29,154 cases and 37,064 controls from 25 case-control studies found a significant association between <i>CHEK2</i> 1100delC heterozygotes and breast cancer risk (OR, 2.75; 95% CI, 2.25–3.36). The ORs and CIs in unselected, familial, and early-onset breast cancer subgroups were 2.33 (1.79–3.05), 3.72 (2.61–5.31), and 2.78 (2.28–3.39), respectively. However, study limitations included pooling of populations without subgroup analysis, using a mix of population-based and hospital-based controls, and basing results on unadjusted estimates (as cases and controls were matched on only a few common factors); therefore, results should be interpreted in the context of these limitations.[<a class="bk_pop" href="#CDR0000062855_rl_156_52">52</a>]</p><p id="CDR0000062855__1630">Two studies have suggested that the risk associated with a <i>CHEK2</i> 1100delC mutation was stronger in the families of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460211/" class="def">probands</a> ascertained because of bilateral breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_53">53</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_54">54</a>] Furthermore, a meta-analysis of 1100delC mutation carriers estimated the risk of breast cancer to be 42% by age 70 years in women with a family history of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_55">55</a>] Similarly, a Polish study reported that <i>CHEK2</i> truncating mutations confer breast cancer risks based on a family history of breast cancer as follows: no family history: 20%; one second-degree relative: 28%; one first-degree relative: 34%; and both first- and second-degree relatives: 44%.[<a class="bk_pop" href="#CDR0000062855_rl_156_56">56</a>] Moreover, a Dutch study suggested that female homozygotes for the <i>CHEK2</i> 1100delC mutation have a greater-than-twofold increased breast cancer risk compared with heterozygotes.[<a class="bk_pop" href="#CDR0000062855_rl_156_57">57</a>] Although there have been conflicting reports regarding cancers other than breast cancer associated with <i>CHEK2</i> mutations, this may be dependent on mutation type (i.e., missense vs. truncating) or population studied and is not currently of clinical utility.[<a class="bk_pop" href="#CDR0000062855_rl_156_43">43</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_48">48</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_58">58</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_63">63</a>] The contribution of <i>CHEK2</i> mutations to breast cancer may depend on the population studied, with a potentially higher mutation prevalence in Poland.[<a class="bk_pop" href="#CDR0000062855_rl_156_64">64</a>] <i>CHEK2</i> mutation carriers in Poland may be more susceptible to ER-positive breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_65">65</a>] </p><p id="CDR0000062855__2452">Currently, the clinical applicability of <i>CHEK</i> mutations remains uncertain because of low mutation prevalence and lack of guidelines for clinical management.[<a class="bk_pop" href="#CDR0000062855_rl_156_66">66</a>]</p><p id="CDR0000062855__2590">(Refer to the <i><a href="/books/n/pdqcis/CDR0000062863/#CDR0000062863__651">CHEK2</a></i> section in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062863/">Genetics of Colorectal Cancer</a> for more information.)</p></div><div id="CDR0000062855__1311"><h4><i>ATM</i></h4><p id="CDR0000062855__1312">Ataxia telangiectasia (AT) (<a href="/omim/208900" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>) is an <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339339/" class="def">autosomal recessive</a> disorder characterized by
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neurologic deterioration, telangiectasias, immunodeficiency states, and
|
||
hypersensitivity to ionizing radiation. It is estimated that 1%
|
||
of the general population may be heterozygote carriers of <i>ATM</i> mutations (<a href="/omim/607585" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">OMIM</a>).[<a class="bk_pop" href="#CDR0000062855_rl_156_67">67</a>] More than 300 mutations in the gene have been
|
||
identified, most of which are truncating
|
||
mutations.[<a class="bk_pop" href="#CDR0000062855_rl_156_68">68</a>] ATM proteins have been shown to play a role in cell cycle
|
||
control.[<a class="bk_pop" href="#CDR0000062855_rl_156_69">69</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_71">71</a>] In vitro, AT-deficient cells are sensitive to ionizing radiation and
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radiomimetic drugs, and lack cell cycle regulatory properties after exposure to
|
||
radiation.[<a class="bk_pop" href="#CDR0000062855_rl_156_72">72</a>]</p><p id="CDR0000062855__1313">Initial studies searching for an excess of <i>ATM</i> mutations among breast cancer patients provided conflicting results, perhaps due to study design and mutation testing strategies.[<a class="bk_pop" href="#CDR0000062855_rl_156_73">73</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_83">83</a>] However, two large epidemiologic studies have
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demonstrated a statistically increased risk of breast cancer among female
|
||
heterozygote carriers, with an estimated RR of approximately 2.0.[<a class="bk_pop" href="#CDR0000062855_rl_156_83">83</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_84">84</a>]
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Despite this convincing epidemiologic association, the clinical application of testing for <i>ATM</i> mutations is unclear due to the wide mutational spectrum and the logistics of testing. Because the presence of a mutation could pose a risk in screening-related radiation exposure, further investigation is needed.</p></div><div id="CDR0000062855__1356"><h4><i>CASP8</i> and <i>TGFB1</i></h4><p id="CDR0000062855__1357">The Breast Cancer Association Consortium (BCAC), an international group of investigators, investigated SNPs identified in previous studies as possibly associated with excess breast cancer risk in 15,000 to 20,000 cases and 15,000 to 20,000 controls. Two SNPs, <i>CASP8</i> D302H and <i>TGFB1</i> L10P, were associated with invasive breast cancer with RRs of 0.88 (95% CI, 0.84–0.92) and 1.08 (95% CI, 1.04–1.11), respectively.[<a class="bk_pop" href="#CDR0000062855_rl_156_85">85</a>]</p></div><div id="CDR0000062855__2111"><h4><i>RAD51</i></h4><p id="CDR0000062855__2475"><i>RAD51</i> and the family of <i>RAD51</i>-related genes, also known as <i>RAD51</i> paralogs, are thought to encode proteins that are involved in DNA damage repair through homologous recombination and interaction with numerous other DNA repair proteins, including BRCA1 and BRCA2. RAD51 protein plays a central role in single-strand annealing in the DNA damage response. RAD51 recruitment to break sites and recombinational DNA repair depend on the <i>RAD51</i> paralogs, although their precise cellular functions are poorly characterized.[<a class="bk_pop" href="#CDR0000062855_rl_156_86">86</a>] Mutations in these genes are thought to result in loss of RAD51 focus formation in response to DNA damage.[<a class="bk_pop" href="#CDR0000062855_rl_156_87">87</a>]</p><p id="CDR0000062855__2476">One of five <i>RAD51</i>-related genes, <i>RAD51C</i> has been reported to be linked to both Fanconi anemia–like disorders and familial breast and ovarian cancers. The literature, however, has produced contradictory findings. In a study of 480 German families characterized by breast and ovarian cancers who were negative for <i>BRCA1</i> and <i>BRCA2</i> mutations, six monoallelic mutations in <i>RAD51C</i> were found (frequency of 1.3%).[<a class="bk_pop" href="#CDR0000062855_rl_156_88">88</a>] No mutations were found in breast cancer–only families or in healthy controls. Another study screened 286 <i>BRCA1/2</i>-negative patients with breast cancer and/or ovarian cancer and found one likely deleterious mutation in <i>RAD51C</i>-G153D.[<a class="bk_pop" href="#CDR0000062855_rl_156_89">89</a>] <i>RAD51C</i> mutations have also been reported in Australian, Finnish, and Spanish non-<i>BRCA1/2</i> ovarian cancer–only and breast/ovarian cancer families, and in unselected ovarian cancer cases.[<a class="bk_pop" href="#CDR0000062855_rl_156_90">90</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_94">94</a>] In a sample of 206 high-risk Jewish women (including 79 of Ashkenazi origin) previously tested for the common Jewish mutations, two previously described and possibly pathogenic missense mutations were detected.[<a class="bk_pop" href="#CDR0000062855_rl_156_95">95</a>] Four additional studies were unable to confirm an association between the <i>RAD51C</i> gene and hereditary breast cancer or ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_24">24</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_96">96</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_98">98</a>]</p><p id="CDR0000062855__2477">In addition to <i>RAD51C</i> mutation carriers, there are other <i>RAD51</i> paralogs, including <i>RAD51D</i> and <i>RAD51L1</i>, that may be associated with breast and/or ovarian cancer risk,[<a class="bk_pop" href="#CDR0000062855_rl_156_99">99</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_103">103</a>] although the clinical significance of these findings is unknown.</p><p id="CDR0000062855__2478">In addition to germline mutations, different polymorphisms of <i>RAD51</i> have been hypothesized to have reduced capacity to repair DNA defects, resulting in increased susceptibility to familial breast cancer. The Consortium of Investigators of Modifiers of <i>BRCA1/2</i> (CIMBA) pooled data from 8,512 <i>BRCA1</i> and <i>BRCA2</i> mutation carriers and found evidence of an increased risk of breast cancer among women who were <i>BRCA2</i> carriers and who were homozygous for CC at the <i>RAD51</i> 135G→C SNP (hazard ratio, 1.17; 95% CI, 0.91–1.51).[<a class="bk_pop" href="#CDR0000062855_rl_156_104">104</a>]</p><p id="CDR0000062855__2479">Several meta-analyses have investigated the association between the <i>RAD51</i> 135G→C polymorphism and breast cancer risk. There is significant overlap in the studies reported in these meta-analyses, significant variability in the characteristics of the populations included, and significant methodologic limitations to their findings.[<a class="bk_pop" href="#CDR0000062855_rl_156_105">105</a>-
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<a class="bk_pop" href="#CDR0000062855_rl_156_108">108</a>] A meta-analysis of nine epidemiologic studies involving 13,241 cases and 13,203 controls of unknown <i>BRCA1/2</i> status found that women carrying the CC genotype had an increased risk of breast cancer compared with women with the GG or GC genotype (OR, 1.35; 95% CI, 1.04–1.74). A meta-analysis of 14 case-control studies involving 12,183 cases and 10,183 controls confirmed an increased risk only for women who were known <i>BRCA2</i> carriers (OR, 4.92; 95% CI, 1.10–21.83).[<a class="bk_pop" href="#CDR0000062855_rl_156_109">109</a>] Another meta-analysis of 12 studies included only studies of known <i>BRCA</i>-negative cases and found no association between <i>RAD51</i> 135G→C and breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_110">110</a>]</p><p id="CDR0000062855__2480">In summary, among this conflicting data there is substantial evidence for a weak association between germline mutations in <i>RAD51C</i> and breast cancer and ovarian cancer. There is also evidence of an association between polymorphisms in <i>RAD51</i> 135G→C among women with homozygous CC genotypes and breast cancer, particularly among <i>BRCA2</i> carriers. These associations are plausible given the known role of <i>RAD51</i> in the maintenance of genomic stability.</p></div><div id="CDR0000062855__2481"><h4><i>Abraxas</i></h4><p id="CDR0000062855__2482">Mutations in the
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<i>BRCA1</i>-interacting gene <i>Abraxas</i> were found in three Finnish breast cancer families and no controls.[<a class="bk_pop" href="#CDR0000062855_rl_156_111">111</a>] The significance of this finding outside of this population is not yet known. </p></div><div id="CDR0000062855__2833"><h4><i>RECQL</i></h4><p id="CDR0000062855__2834">Through full exome sequencing among high-risk Polish and Quebec-based French Canadian families, the <i>RECQL</i> gene was discovered to harbor multiple rare truncating variants in both populations.[<a class="bk_pop" href="#CDR0000062855_rl_156_112">112</a>] In the same populations, truncating variants in this gene were also identified in two subsequent validation phases among additional breast cancer patients from high-risk families, and among additional breast cancer cases in which the mutation frequency was higher than that observed among controls. Although study results suggest that truncating germline <i>RECQL</i> mutations are associated with an increased risk of breast cancer, the exact magnitude of risk remains uncertain, and future studies are needed to determine clinical usefulness. Furthermore, the significance of this finding outside of these two populations is not yet known.</p></div></div><div id="CDR0000062855__1314"><h3>Genome-Wide Searches</h3><p id="CDR0000062855__1315">In contrast to assessing candidate genes and/or alleles, GWAS involve comparing a very large set of genetic variants spread throughout the genome. The current paradigm uses sets of as many as 5 million SNPs that are chosen to capture a large portion of common variation within the genome based on the HapMap and the 1000 Genomes Project.[<a class="bk_pop" href="#CDR0000062855_rl_156_113">113</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_114">114</a>] By comparing allele frequencies between a large number of cases and controls, typically 1,000 or more of each, and validating promising signals in replication sets of subjects, very robust statistical signals of association have been obtained.[<a class="bk_pop" href="#CDR0000062855_rl_156_115">115</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_117">117</a>] The strong correlation between many SNPs that are physically close to each other on the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000046470/" class="def">chromosome</a> (<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000666094/" class="def">linkage disequilibrium</a>) allows one to “scan” the genome for susceptibility alleles even if the biologically relevant variant is not within the tested set of SNPs. Although this between-SNP correlation allows one to interrogate the majority of the genome without having to assay every SNP, when a validated association is obtained, it is not usually obvious which of the many correlated variants is causal.</p><p id="CDR0000062855__1317">Genome-wide searches are showing great promise in identifying common, low-penetrance susceptibility alleles for many complex diseases,[<a class="bk_pop" href="#CDR0000062855_rl_156_118">118</a>] including breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_119">119</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_122">122</a>] The first study involved an initial scan in familial breast cancer cases followed by replication in two large sample sets of sporadic breast cancer, the final being a collection of over 20,000 cases and 20,000 controls from the BCAC.[<a class="bk_pop" href="#CDR0000062855_rl_156_119">119</a>] Five distinct genomic regions were identified that were within or near the <i>FGFR2</i>, <i>TNRC9</i>, <i>MAP3K1</i>, and <i>LSP1</i> genes or at the chromosome 8q region. The 8q region and others may harbor multiple independent loci associated with risk. Subsequent genome-wide studies have replicated these loci and identified additional ones.[<a class="bk_pop" href="#CDR0000062855_rl_156_120">120</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_121">121</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_123">123</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_123">123</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_128">128</a>] Numerous SNPs identified through large studies of sporadic breast cancer appear to be associated more strongly with estrogen receptor–positive disease;[<a class="bk_pop" href="#CDR0000062855_rl_156_129">129</a>] however, some are associated primarily or exclusively with other subtypes, including triple-negative disease.[<a class="bk_pop" href="#CDR0000062855_rl_156_130">130</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_131">131</a>] An <a href="http://www.ebi.ac.uk/gwas/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">online catalog</a> of SNP-trait associations
|
||
from published GWAS for use in investigating
|
||
genomic characteristics of trait/disease-associated SNPs
|
||
is available. </p><p id="CDR0000062855__2449">Although the statistical evidence for an association between genetic variation at these loci and breast and ovarian cancer risk is overwhelming, the biologically relevant variants and
|
||
the mechanism by which they lead to increased risk are unknown and will require further genetic and functional characterization. Additionally, these loci are associated with very modest risk (typically, OR <1.5), with more risk variants likely to be identified. No interaction between the SNPs and epidemiologic risk factors for breast cancer have been identified.[<a class="bk_pop" href="#CDR0000062855_rl_156_132">132</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_133">133</a>] Furthermore, theoretical models have suggested that common moderate-risk SNPs have limited potential to improve models for individualized risk assessment.[<a class="bk_pop" href="#CDR0000062855_rl_156_134">134</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_136">136</a>] These models used receiver operating characteristic (ROC) curve analysis to calculate the area under the curve (AUC) as a measure of discriminatory accuracy. A subsequent study used ROC curve analysis to examine the utility of SNPs in a clinical dataset of more than 5,500 breast cancer cases and nearly 6,000 controls, using a model with traditional risk factors compared with a model using both standard risk factors and ten previously identified SNPs. The addition of genetic information modestly changed the AUC from 58% to 61.8%, a result that was not felt to be clinically significant. Despite this, 32.5% of patients were in a higher quintile of breast cancer risk when genetic information was included, and 20.4% were in a lower quintile of risk. Whether such information has clinical utility is unclear.[<a class="bk_pop" href="#CDR0000062855_rl_156_134">134</a>,<a class="bk_pop" href="#CDR0000062855_rl_156_137">137</a>]</p><p id="CDR0000062855__2445">More limited data are available regarding ovarian cancer risk. Three GWAS involving staged analysis of more than 10,000 cases and 13,000 controls have been carried out for ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_156_138">138</a>-<a class="bk_pop" href="#CDR0000062855_rl_156_140">140</a>] As in other GWAS, the ORs are modest, generally about 1.2 or weaker, but implicate a number of genes with plausible biological ties to ovarian cancer, such as <i>BABAM1</i>, whose protein complexes with and may regulate BRCA1, and <i>TIRAPR</i>, which codes for a poly (ADP-ribose) polymerase, molecules that may be important in<i> BRCA1/BRCA2</i>-deficient cells.</p><p id="CDR0000062855__2768">At this time, because the individual and collective influences of these SNPs on cancer risk have not been evaluated prospectively, they are not considered clinically relevant. </p><p id="CDR0000062855__2483">In addition to genome-wide studies interrogating common genetic variants, sequencing-based studies involving whole-genome or whole-exome sequencing [<a class="bk_pop" href="#CDR0000062855_rl_156_141">141</a>] are also identifying genes associated with breast cancer, such as <i>XRCC2</i>, a rare, moderate-penetrance, breast cancer susceptibility gene.[<a class="bk_pop" href="#CDR0000062855_rl_156_142">142</a>]</p></div><div id="CDR0000062855_rl_156"><h3>References</h3><ol><li><div class="bk_ref" id="CDR0000062855_rl_156_1">Easton DF: How many more breast cancer predisposition genes are there? 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[<a href="/pmc/articles/PMC3156803/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3156803</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/21791674" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21791674</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_133">Milne RL, Gaudet MM, Spurdle AB, et al.: Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: a combined case-control study. Breast Cancer Res 12 (6): R110, 2010. [<a href="/pmc/articles/PMC3046455/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3046455</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/21194473" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21194473</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_134">Pharoah PD, Antoniou AC, Easton DF, et al.: Polygenes, risk prediction, and targeted prevention of breast cancer. N Engl J Med 358 (26): 2796-803, 2008. [<a href="https://pubmed.ncbi.nlm.nih.gov/18579814" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 18579814</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_135">Gail MH: Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk. J Natl Cancer Inst 100 (14): 1037-41, 2008. [<a href="/pmc/articles/PMC2528005/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2528005</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/18612136" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 18612136</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_136">Gail MH: Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk model. J Natl Cancer Inst 101 (13): 959-63, 2009. [<a href="/pmc/articles/PMC2704229/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2704229</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/19535781" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19535781</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_137">Wacholder S, Hartge P, Prentice R, et al.: Performance of common genetic variants in breast-cancer risk models. N Engl J Med 362 (11): 986-93, 2010. [<a href="/pmc/articles/PMC2921181/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2921181</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/20237344" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 20237344</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_138">Song H, Ramus SJ, Tyrer J, et al.: A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2. Nat Genet 41 (9): 996-1000, 2009. [<a href="/pmc/articles/PMC2844110/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2844110</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/19648919" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19648919</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_139">Goode EL, Chenevix-Trench G, Song H, et al.: A genome-wide association study identifies susceptibility loci for ovarian cancer at 2q31 and 8q24. Nat Genet 42 (10): 874-9, 2010. [<a href="/pmc/articles/PMC3020231/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3020231</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/20852632" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 20852632</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_140">Bolton KL, Tyrer J, Song H, et al.: Common variants at 19p13 are associated with susceptibility to ovarian cancer. Nat Genet 42 (10): 880-4, 2010. [<a href="/pmc/articles/PMC3125495/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3125495</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/20852633" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 20852633</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_141">Shendure J: Next-generation human genetics. Genome Biol 12 (9): 408, 2011. [<a href="/pmc/articles/PMC3308046/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3308046</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/21920048" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21920048</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_156_142">Park DJ, Lesueur F, Nguyen-Dumont T, et al.: Rare mutations in XRCC2 increase the risk of breast cancer. Am J Hum Genet 90 (4): 734-9, 2012. [<a href="/pmc/articles/PMC3322233/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3322233</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/22464251" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 22464251</span></a>]</div></li></ol></div></div><div id="CDR0000062855__575"><h2 id="_CDR0000062855__575_">Clinical Management of <i>BRCA</i> Mutation Carriers</h2><p id="CDR0000062855__176">Increasing data are available on the outcomes of interventions to reduce risk in people with a
|
||
<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000256553/" class="def">genetic susceptibility</a> to breast cancer or ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_1">1</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_7">7</a>] As outlined in other sections of this summary, uncertainty is often
|
||
considerable regarding the level of cancer risk associated with a positive
|
||
<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000302456/" class="def">family history</a> or genetic test. In this setting, personal preferences are
|
||
likely to be an important factor in patients’ decisions about risk reduction
|
||
strategies.</p><div id="CDR0000062855__2003"><h3>Screening and Prevention Strategies</h3><div id="CDR0000062855__2122"><h4>Breast cancer</h4><div id="CDR0000062855__2123"><h5>Screening/surveillance</h5><p id="CDR0000062855__2124">Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062751/">Breast Cancer Screening</a> for information
|
||
on screening in the general population, and to the PDQ summary <a href="/books/n/pdqcis/CDR0000685387/">Levels of Evidence for Cancer Genetics Studies</a> for information on levels of evidence related to
|
||
screening and prevention.
|
||
</p><div id="CDR0000062855__2125"><h5>Breast self-examination</h5><p id="CDR0000062855__2126">In the general population, evidence for the value of breast self-examination (BSE) is limited.
|
||
Preliminary results have been reported from a randomized study of BSE being
|
||
conducted in Shanghai, China.[<a class="bk_pop" href="#CDR0000062855_rl_575_8">8</a>] At 5 years, no reduction in breast cancer
|
||
mortality was seen in the BSE group compared with the control group of women, nor
|
||
was a substantive stage shift seen in breast cancers that were diagnosed.
|
||
(Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062751/">Breast Cancer Screening</a> for more information.)
|
||
</p><p id="CDR0000062855__2127">Little direct prospective evidence exists regarding BSE in individuals with an increased risk of breast cancer. In the Canadian National Breast
|
||
Screening Study, women with <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460150/" class="def">first-degree relatives</a> with breast cancer had
|
||
statistically significantly higher BSE competency scores than those without a
|
||
family history. In a study of 251 high-risk women at a referral center, five breast cancers were detected by self-examination less than a year after a previous screen (as compared with one cancer detected by clinician exam and 11 cancers detected as a result of mammography). Women in the cohort were instructed in self-examination, but it is not stated whether the interval cancers were detected as a result of planned self-examination or incidental discovery of breast masses.[<a class="bk_pop" href="#CDR0000062855_rl_575_9">9</a>] In another series of <i>BRCA1/BRCA2</i> mutation <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460132/" class="def">carriers</a>, four of nine incident cancers were diagnosed as palpable masses after a reportedly normal mammogram, further suggesting the potential value of self-examination.[<a class="bk_pop" href="#CDR0000062855_rl_575_10">10</a>] A task force convened by the Cancer Genetics Studies
|
||
Consortium has recommended “monthly self-examination beginning early in adult
|
||
life (e.g., by age 18–21 years) to establish a regular habit and allow familiarity
|
||
with the normal characteristics of breast tissue. Education and instruction in
|
||
self-examination are recommended.”[<a class="bk_pop" href="#CDR0000062855_rl_575_11">11</a>]</p><p id="CDR0000062855__2128"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526280/" class="def">Level of evidence: 5</a></p></div><div id="CDR0000062855__2129"><h5>Clinical breast examination</h5><p id="CDR0000062855__2130">Few prospective data exist regarding clinical breast examination (CBE).</p><p id="CDR0000062855__2131">The Cancer Genetics Studies Consortium task force concluded, “As with
|
||
self-examination, the contribution of clinical examination may be particularly
|
||
important for women at inherited risk of early breast cancer.” They
|
||
recommended that female carriers of a <i>BRCA1</i> or <i>BRCA2</i> high-risk mutation undergo
|
||
annual or semiannual clinical examinations beginning at age 25 to 35 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_11">11</a>]</p><p id="CDR0000062855__2783"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526280/" class="def">Level of evidence: 5</a></p></div><div id="CDR0000062855__2132"><h5>Mammography</h5><p id="CDR0000062855__2133">In the general population, strong evidence suggests that regular mammography
|
||
screening of women aged 50 to 59 years leads to a 25% to 30% reduction in
|
||
breast cancer mortality. (Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062751/">Breast Cancer Screening</a> for more information.) For women who begin mammographic screening at
|
||
age 40 to 49 years, a 17% reduction in breast cancer mortality is seen, which
|
||
occurs 15 years after the start of screening.[<a class="bk_pop" href="#CDR0000062855_rl_575_12">12</a>] Observational data from a
|
||
cohort study of more than 28,000 women suggest that the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000322883/" class="def">sensitivity</a> of
|
||
mammography is lower for young women. In this study, the sensitivity was
|
||
lowest for younger women (aged 30–49 years) who had a first-degree relative
|
||
with breast cancer. For these women, mammography detected 69% of breast
|
||
cancers diagnosed within 13 months of the first screening mammography. By
|
||
contrast, sensitivity for women younger than 50 years without a family history
|
||
was 88% (<i>P</i> = .08). For women aged 50 years and older, sensitivity was 93% at 13 months
|
||
and did not vary by family history.[<a class="bk_pop" href="#CDR0000062855_rl_575_13">13</a>] Preliminary data suggest that
|
||
mammography sensitivity is lower in <i>BRCA1</i> and <i>BRCA2</i> carriers than in
|
||
<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556483/" class="def">noncarriers</a>.[<a class="bk_pop" href="#CDR0000062855_rl_575_10">10</a>] Subsequent observational studies have found that the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460206/" class="def">positive predictive value</a> (PPV) of mammography increases with age and is highest among older
|
||
women and among women with a family history of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_14">14</a>] Higher PPVs may be due to increased breast cancer incidence, higher
|
||
sensitivity, and/or higher <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000322884/" class="def">specificity</a>.[<a class="bk_pop" href="#CDR0000062855_rl_575_15">15</a>]
|
||
One study found an association between the presence of pushing margins and false-negative mammograms in 28 women, 26 of whom had a <i>BRCA1</i> mutation and two of whom had a <i>BRCA2</i> mutation. Pushing margins, characteristic of medullary histology, are associated with an absence of fibrotic reaction.[<a class="bk_pop" href="#CDR0000062855_rl_575_16">16</a>] In addition, rapid tumor doubling times may lead to tumors presenting shortly after an apparently normal study. In one study, mean tumor doubling time in <i>BRCA1/BRCA2</i> carriers was 45 days, compared with 84 days in noncarriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_17">17</a>] Another study that evaluated mammographic breast density in women with <i>BRCA</i> mutations found no association between mutation status and mammographic density; however, in both carriers and noncarriers, increased breast density was associated with increased breast cancer risk.[<a class="bk_pop" href="#CDR0000062855_rl_575_18">18</a>]</p><p id="CDR0000062855__2134">The randomized Canadian National Breast Screening Study-2 compared
|
||
annual CBE plus mammography to CBE alone in women aged 50 to 59 years from the
|
||
general population. Both groups were given instruction in BSE.[<a class="bk_pop" href="#CDR0000062855_rl_575_19">19</a>] Although
|
||
mammography detected smaller primary invasive tumors, more invasive cancers, and more ductal carcinoma <i>in situ</i> (DCIS) than CBE, the breast cancer mortality rates
|
||
in the CBE-plus-mammography group and the CBE-alone group were nearly
|
||
identical, and compared favorably with other breast cancer screening trials.
|
||
After a mean follow-up of 13 years (range 11.3–16.0 years), the cumulative
|
||
breast cancer mortality ratio was 1.02 (95% CI, 0.78–1.33). One possible explanation of this finding was the careful training and
|
||
supervision of the health professionals performing CBE.
|
||
</p><p id="CDR0000062855__2135">Digital mammography refers to the use of a digital detector to find and record x-ray images. This technology improves contrast resolution [<a class="bk_pop" href="#CDR0000062855_rl_575_20">20</a>] and has been proposed as a potential strategy for improving the sensitivity of mammography. A screening study comparing digital with routine mammography in 6,736 examinations of women aged 40 years and older found no difference in cancer detection rates;[<a class="bk_pop" href="#CDR0000062855_rl_575_21">21</a>] however, digital mammography resulted in fewer recalls. In another study (<a href="http://cancer.gov/clinicaltrials/search/view?version=healthprofessional&cdrid=68399" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">ACRIN-6652</a>) comparing digital mammography to plain-film mammography in 42,760 women, the overall diagnostic accuracy of the two techniques was similar.[<a class="bk_pop" href="#CDR0000062855_rl_575_22">22</a>] When receiver operating characteristic curves were compared, digital mammography was more accurate in women younger than 50 years, in women with radiographically dense breasts, and in premenopausal or perimenopausal women.</p><p id="CDR0000062855__2136">In a prospective study of 251 individuals with <i>BRCA</i> mutations who received uniform recommendations regarding screening and risk-reducing, or prophylactic, surgery, annual mammography detected breast cancer in six women at a mean of 20.2 months after receipt of <i>BRCA</i> results.[<a class="bk_pop" href="#CDR0000062855_rl_575_9">9</a>] The Cancer Genetics
|
||
Studies Consortium task force has recommended for female carriers of a <i>BRCA1</i> or
|
||
<i>BRCA2</i> high-risk mutation, “annual mammography, beginning at age 25 to 35 years.
|
||
Mammograms should be done at a consistent location when possible, with prior
|
||
films available for comparison.”[<a class="bk_pop" href="#CDR0000062855_rl_575_11">11</a>] Data from prospective studies on the
|
||
relative benefits and risks of screening with an ionizing radiation tool versus
|
||
CBE or other nonionizing radiation tools would be useful.[<a class="bk_pop" href="#CDR0000062855_rl_575_23">23</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_25">25</a>]</p><p id="CDR0000062855__2137">Certain observations have led to the concern that <i>BRCA</i> mutation carriers may be more prone to radiation-induced breast cancer than women without mutations. The BRCA1 and BRCA2 proteins are known to be important in cellular mechanisms of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000045671/" class="def">DNA</a> damage repair, including those involved in repairing radiation-induced damage. Some studies have suggested intermediate radiation sensitivity in cells that are heterozygous for a <i>BRCA</i> mutation, but this is not consistent and varies by experimental system and endpoint.</p><p id="CDR0000062855__2551">Two studies failed to find convincing evidence of an association between ionizing radiation exposure and breast cancer risk in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_26">26</a>
|
||
,<a class="bk_pop" href="#CDR0000062855_rl_575_27">27</a>] In contrast, two large international studies found evidence of an increased breast cancer risk due to chest x-rays [<a class="bk_pop" href="#CDR0000062855_rl_575_28">28</a>] or estimates of total exposure to diagnostic radiation.[<a class="bk_pop" href="#CDR0000062855_rl_575_29">29</a>] A large, international, case-control study of 1,601 mutation carriers described an increased risk of breast cancer (HR, 1.54) among women who were ever exposed to chest x-rays, with risk being highest in women aged 40 years and younger, born after 1949, and exposed to x-rays only before age 20 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_28">28</a>] Some of the subjects in this study were also included in a larger, more comprehensive analysis of mutation carriers from three European centers.[<a class="bk_pop" href="#CDR0000062855_rl_575_29">29</a>] In that study of 1,993 <i>BRCA1</i> and <i>BRCA2</i> mutation carriers from the United Kingdom, France, and the Netherlands, age-specific total diagnostic radiation exposure (e.g., chest x-rays, mammography, fluoroscopy, and computed tomography) estimates were derived from self-reported questionnaires. Women exposed before age 30 years had an increased risk (HR, 1.90; 95% CI, 1.20–3.00), compared with those never exposed. This risk was primarily driven by nonmammographic radiation exposure in women younger than 20 years (HR, 1.62; 95% CI, 1.02–2.58). </p><p id="CDR0000062855__2552">With the routine use of magnetic resonance imaging (MRI) in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers, any potential benefit of mammographic screening must be carefully weighed against potential risks, particularly in young women.[<a class="bk_pop" href="#CDR0000062855_rl_575_30">30</a>] One study has suggested that the most cost-effective screening strategy in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers may be annual MRI beginning at age 25 years, with alternating MRI and digital mammography (so that each test is done annually but screening occurs every 6 months) beginning at age 30 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_31">31</a>] NCCN currently recommends annual MRI screening between ages 25 and 29 years and annual MRI and mammography between ages 30 and 75 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_32">32</a>]</p></div><div id="CDR0000062855__2138"><h5>MRI</h5><p id="CDR0000062855__2139">Because of the relative insensitivity of mammography in women with an inherited risk of breast cancer, a number of screening modalities have been proposed and investigated in high-risk women, including <i>BRCA</i> mutation carriers. Many studies have described the experience with breast MRI screening in women at risk of breast cancer, including descriptions of relatively large multi-institutional trials.[<a class="bk_pop" href="#CDR0000062855_rl_575_33">33</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_41">41</a>] </p><p id="CDR0000062855__2141">Despite some limitations of these studies, they consistently demonstrate that breast MRI is more sensitive than either mammography or ultrasound for the detection of hereditary breast cancer. The results of six large studies are presented in <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2385/?report=objectonly" target="object" rid-figpopup="figCDR00000628552385" rid-ob="figobCDR00000628552385"> Table 9</a>, Summary of MRI Screening Studies in Women at Hereditary Risk of Breast Cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_33">33</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_35">35</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_36">36</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_39">39</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_42">42</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_43">43</a>] Most cancers in these programs were screen detected, with only 6% of cancers presenting in the interval between screenings. The sensitivity of MRI (as defined by the study methodology) ranged from 71% to 100%. Of the combined studies, 77% of cancers were identified by MRI, and 42% were identified by mammography.
|
||
</p><p id="CDR0000062855__2142">Concerns have been raised about the reduced specificity of MRI compared with other screening modalities. In one study, after the initial MRI screen, 16.5% of patients were recalled for further evaluation and an additional 7.6% of patients were recommended to undergo a short-interval follow-up examination at 6 months.[<a class="bk_pop" href="#CDR0000062855_rl_575_36">36</a>] These rates declined significantly during later screening rounds, with fewer than 10% of the subjects recalled for more detailed MRI and fewer than 3% recommended to have short interval follow-up. In a second study, Magnetic Resonance Imaging for Breast Screening (MARIBS), the recall rate for additional evaluation was 10.7% per year.[<a class="bk_pop" href="#CDR0000062855_rl_575_35">35</a>] The benign biopsy rates in the first study were 11% at first round, 6.6% at second round, and 4.7% at third round.[<a class="bk_pop" href="#CDR0000062855_rl_575_36">36</a>] In the MARIBS study, the aggregate surgical biopsy rate was 9 per 1,000 screening episodes, though this may underestimate the burden because follow-up ultrasounds, core-needle biopsies, and fine-needle aspirations have not been included in the numerator of the MARIBS calculation.[<a class="bk_pop" href="#CDR0000062855_rl_575_35">35</a>] The PPV of MRI has been calculated differently in the various series and fluctuates somewhat, depending on whether all abnormal examinations or only the examinations that result in a biopsy are counted in the denominator. Generally, the PPV of a recommendation for tissue sampling (as opposed to further investigation) is in the range of 50% in most series.
|
||
</p><p id="CDR0000062855__2143">These trials appear to establish that MRI is superior to mammography in the detection of hereditary breast cancer, and that women participating in these trials including annual MRI screening were less likely to have a cancer missed by screening.[<a class="bk_pop" href="#CDR0000062855_rl_575_44">44</a>] However, mammography may identify some cancers, particularly DCIS, that are not identified by MRI.[<a class="bk_pop" href="#CDR0000062855_rl_575_45">45</a>] </p><p id="CDR0000062855__2610">Regarding downstaging, one screening study demonstrated that patients at risk of hereditary breast cancer were more likely to be diagnosed with small tumors and node-negative disease than were women in two nonrandomized control groups.[<a class="bk_pop" href="#CDR0000062855_rl_575_33">33</a>] However, a randomized study of screening with or without MRI using tumor stage or mortality as an endpoint has not been performed. Despite the apparent sensitivity of MRI screening, some women in MRI-based programs will develop life-threatening breast cancer. In a prospective study of 51 <i>BRCA1</i> and 41 <i>BRCA2</i> mutation carriers screened with yearly mammograms and MRIs (of whom 80 had prophylactic oophorectomy), 11 breast cancers (9 invasive and 2 DCIS) were detected. Six cancers were first detected on MRI; three were first detected by mammogram; and two were interval cancers. All breast cancers occurred in <i>BRCA1</i> mutation carriers, suggesting a continued high risk of <i>BRCA1</i>-related breast cancer after oophorectomy in the short term. These results suggest that surveillance and prevention strategies may have differing outcomes in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_40">40</a>]</p><p id="CDR0000062855__2611">A publication combining results from three large studies (MARIBS, a Canadian study, and a Dutch MRI screening study) demonstrated that when MRI was added to mammography, 80% of cancers detected in <i>BRCA2</i> mutation carriers were either DCIS or invasive cancers smaller than 1 cm. In <i>BRCA1</i> mutation carriers, 49% of cancers were DCIS or small invasive cancers. In addition, the authors predicted mortality benefits with the addition of MRI for both <i>BRCA1</i> and <i>BRCA2</i> mutation carriers. The model predicted breast
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cancer mortality reductions of 42% to 47% for mammography, 48% to 61% for MRI, and 50% to 62% for combined screening.[<a class="bk_pop" href="#CDR0000062855_rl_575_46">46</a>] An additional study examining <i>BRCA1/2</i> mutation carriers undergoing MRI between 1997 and 2006 has demonstrated that 97% of incident cancers were stage 0 or stage I.[<a class="bk_pop" href="#CDR0000062855_rl_575_47">47</a>] The American Cancer Society and NCCN have recommended the use of annual MRI screening for women at hereditary risk of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_32">32</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_48">48</a>]</p><p id="CDR0000062855__2553">An additional question regarding the timing of mammography and MRI is whether they should be done simultaneously or in an alternating fashion (so that while each test is done annually, screening occurs every 6 months). One study has suggested that the most cost-effective screening strategy in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers may be annual MRI beginning at age 25 years, with alternating MRI and digital mammography beginning at age 30 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_31">31</a>]</p><p id="CDR0000062855__2623">In summary, evidence strongly supports the integral role of breast MRI in breast cancer surveillance for <i>BRCA1/2</i> mutation carriers.</p><div id="CDR0000062855__2385" class="table"><h3><span class="title">Table 9. Summary of Magnetic Resonance Imaging (MRI) Screening Studies in Women at Hereditary Risk of Breast Cancer</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2385/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2385_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="2" rowspan="1" style="vertical-align:top;">Series</th><th colspan="1" rowspan="1" style="vertical-align:top;">Rijnsburger [<a class="bk_pop" href="#CDR0000062855_rl_575_41">41</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">Warner [<a class="bk_pop" href="#CDR0000062855_rl_575_36">36</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">MARIBS [<a class="bk_pop" href="#CDR0000062855_rl_575_35">35</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">Kuhl [<a class="bk_pop" href="#CDR0000062855_rl_575_39">39</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">Weinstein [<a class="bk_pop" href="#CDR0000062855_rl_575_42">42</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">Sardanelli [<a class="bk_pop" href="#CDR0000062855_rl_575_43">43</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">Totals</th></tr></thead><tbody><tr><td colspan="1" rowspan="2" style="vertical-align:top;">N Patients</td><td colspan="1" rowspan="1" style="vertical-align:top;">Overall</td><td colspan="1" rowspan="1" style="vertical-align:top;">2,157</td><td colspan="1" rowspan="1" style="vertical-align:top;">236</td><td colspan="1" rowspan="1" style="vertical-align:top;">649</td><td colspan="1" rowspan="1" style="vertical-align:top;">687</td><td colspan="1" rowspan="1" style="vertical-align:top;">609</td><td colspan="1" rowspan="1" style="vertical-align:top;">501</td><td colspan="1" rowspan="1" style="vertical-align:top;">4,839</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1/BRCA2</i> Carriers</td><td colspan="1" rowspan="1" style="vertical-align:top;">594</td><td colspan="1" rowspan="1" style="vertical-align:top;">236</td><td colspan="1" rowspan="1" style="vertical-align:top;">120</td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td><td colspan="1" rowspan="1" style="vertical-align:top;">44</td><td colspan="1" rowspan="1" style="vertical-align:top;">330</td><td colspan="1" rowspan="1" style="vertical-align:top;">1,389</td></tr><tr><td colspan="2" rowspan="1" style="vertical-align:top;">N Screening Episodes</td><td colspan="1" rowspan="1" style="vertical-align:top;">6,253</td><td colspan="1" rowspan="1" style="vertical-align:top;">457</td><td colspan="1" rowspan="1" style="vertical-align:top;">1,881</td><td colspan="1" rowspan="1" style="vertical-align:top;">1,679</td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;">1,592</td><td colspan="1" rowspan="1" style="vertical-align:top;">11,862</td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">N Cancers</td><td colspan="1" rowspan="1" style="vertical-align:top;">Baseline </td><td colspan="1" rowspan="1" style="vertical-align:top;">22<sup>a</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">13</td><td colspan="1" rowspan="1" style="vertical-align:top;">20</td><td colspan="1" rowspan="1" style="vertical-align:top;">10</td><td colspan="1" rowspan="1" style="vertical-align:top;">0</td><td colspan="1" rowspan="1" style="vertical-align:top;">0</td><td colspan="1" rowspan="1" style="vertical-align:top;">65</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Subsequent</td><td colspan="1" rowspan="1" style="vertical-align:top;">97</td><td colspan="1" rowspan="1" style="vertical-align:top;">9</td><td colspan="1" rowspan="1" style="vertical-align:top;">15</td><td colspan="1" rowspan="1" style="vertical-align:top;">17</td><td colspan="1" rowspan="1" style="vertical-align:top;">18</td><td colspan="1" rowspan="1" style="vertical-align:top;">52</td><td colspan="1" rowspan="1" style="vertical-align:top;">208</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Invasive<sup>b</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">78</td><td colspan="1" rowspan="1" style="vertical-align:top;">16</td><td colspan="1" rowspan="1" style="vertical-align:top;">29</td><td colspan="1" rowspan="1" style="vertical-align:top;">8</td><td colspan="1" rowspan="1" style="vertical-align:top;">11</td><td colspan="1" rowspan="1" style="vertical-align:top;">44</td><td colspan="1" rowspan="1" style="vertical-align:top;">186</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>In situ</i></td><td colspan="1" rowspan="1" style="vertical-align:top;">19</td><td colspan="1" rowspan="1" style="vertical-align:top;">9</td><td colspan="1" rowspan="1" style="vertical-align:top;">6</td><td colspan="1" rowspan="1" style="vertical-align:top;">9</td><td colspan="1" rowspan="1" style="vertical-align:top;">7</td><td colspan="1" rowspan="1" style="vertical-align:top;">8</td><td colspan="1" rowspan="1" style="vertical-align:top;">58</td></tr><tr><td colspan="2" rowspan="1" style="vertical-align:top;">Annual Incidence</td><td colspan="1" rowspan="1" style="vertical-align:top;">10.4/1,000</td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;">19/1,000</td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td></tr><tr><td colspan="2" rowspan="1" style="vertical-align:top;">Detected at Planned Screening</td><td colspan="1" rowspan="1" style="vertical-align:top;">78</td><td colspan="1" rowspan="1" style="vertical-align:top;">21</td><td colspan="1" rowspan="1" style="vertical-align:top;">33</td><td colspan="1" rowspan="1" style="vertical-align:top;">27</td><td colspan="1" rowspan="1" style="vertical-align:top;">18</td><td colspan="1" rowspan="1" style="vertical-align:top;">49</td><td colspan="1" rowspan="1" style="vertical-align:top;">226 (83%)</td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;">N Detected by Each Modality</td><td colspan="1" rowspan="1" style="vertical-align:top;">Mammography</td><td colspan="1" rowspan="1" style="vertical-align:top;">31<sup>c</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">8</td><td colspan="1" rowspan="1" style="vertical-align:top;">14</td><td colspan="1" rowspan="1" style="vertical-align:top;">9</td><td colspan="1" rowspan="1" style="vertical-align:top;">7</td><td colspan="1" rowspan="1" style="vertical-align:top;">25</td><td colspan="1" rowspan="1" style="vertical-align:top;">94 (42%)</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">MRI</td><td colspan="1" rowspan="1" style="vertical-align:top;">51<sup>c</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">17</td><td colspan="1" rowspan="1" style="vertical-align:top;">27</td><td colspan="1" rowspan="1" style="vertical-align:top;">25</td><td colspan="1" rowspan="1" style="vertical-align:top;">12</td><td colspan="1" rowspan="1" style="vertical-align:top;">42</td><td colspan="1" rowspan="1" style="vertical-align:top;">174 (77%)</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Ultrasound<sup>d</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;">7</td><td colspan="1" rowspan="1" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;">10</td><td colspan="1" rowspan="1" style="vertical-align:top;">3</td><td colspan="1" rowspan="1" style="vertical-align:top;">26</td><td colspan="1" rowspan="1" style="vertical-align:top;">46 (41%)</td></tr><tr><td colspan="2" rowspan="1" style="vertical-align:top;">Follow-up </td><td colspan="1" rowspan="1" style="vertical-align:top;">Median of 4.9 y</td><td colspan="1" rowspan="1" style="vertical-align:top;">Minimum of 1 y</td><td colspan="1" rowspan="1" style="vertical-align:top;">2–7 y</td><td colspan="1" rowspan="1" style="vertical-align:top;">Median of 29.09 mo</td><td colspan="1" rowspan="1" style="vertical-align:top;">2 y</td><td colspan="1" rowspan="1" style="vertical-align:top;">3 y</td><td colspan="1" rowspan="1" style="vertical-align:top;"></td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin"><sup>a</sup>Based on the first 1,909 women screened.[<a class="bk_pop" href="#CDR0000062855_rl_575_33">33</a>]</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>b</sup>Includes patients with invasive cancer only and patients with both invasive and in situ cancers.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>c</sup>Includes only 75 cancers detected in women who underwent both mammographic and MRI screening.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>d</sup>Restricted to studies in which ultrasound was performed.</p></div></dd></dl></div></div></div><p id="CDR0000062855__2145"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531825/" class="def">Level of evidence: 3</a></p></div><div id="CDR0000062855__2146"><h5>Ultrasound</h5><p id="CDR0000062855__2147">Several studies have reported instances of breast cancer detected by ultrasound that were missed by mammography, as discussed in one review.[<a class="bk_pop" href="#CDR0000062855_rl_575_49">49</a>] In a pilot study of ultrasound as an adjunct to mammography in 149 women with moderately increased risk based on family history, one cancer was detected, based on ultrasound findings. Nine other biopsies of benign lesions were performed. One was based on abnormalities on both mammography and ultrasound, and the remaining eight were based on abnormalities on ultrasound alone.[<a class="bk_pop" href="#CDR0000062855_rl_575_49">49</a>] A large study of 2,809 women with dense breast tissue (ACRIN-6666) demonstrated that ultrasound increased the detection rate due to breast cancer screening from 7.6 per 1,000 with mammography alone to 11.8 per 1,000 for combined mammography and ultrasound.[<a class="bk_pop" href="#CDR0000062855_rl_575_50">50</a>] However, ultrasound screening increases false-positive rates and appears to have a limited benefit in combination with MRI. In a multicenter study of 171 women (92% of whom were <i>BRCA1/BRCA2</i> mutation carriers) undergoing simultaneous mammography, MRI, and ultrasound, no cancers were detected by ultrasound alone.[<a class="bk_pop" href="#CDR0000062855_rl_575_37">37</a>] Uncertainties about ultrasound include the effect of screening on mortality, the rate and outcome of <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460147/" class="def">false-positive results</a>, and access to experienced breast ultrasonographers.</p><p id="CDR0000062855__2148">Level of evidence: None assigned</p></div><div id="CDR0000062855__2149"><h5>Other screening modalities</h5><p id="CDR0000062855__2150">A number of other techniques are under active investigation, including tomosynthesis, contrast-enhanced mammography, thermography, and radionuclide scanning. Additional evidence is needed before these techniques can be incorporated into clinical practice.</p><p id="CDR0000062855__2788">Level of evidence: None assigned</p></div></div><div id="CDR0000062855__2151"><h5>Risk-reducing surgeries</h5><div id="CDR0000062855__2152"><h5>Risk-reducing mastectomy</h5><p id="CDR0000062855__2153">In the general population, both subcutaneous mastectomy and simple (total)
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mastectomy have been used for prophylaxis. Between 90% and 95% of breast tissue is
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removed with subcutaneous mastectomy.[<a class="bk_pop" href="#CDR0000062855_rl_575_51">51</a>] In a total or simple mastectomy,
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removal of the nipple-areolar complex increases the proportion of breast tissue
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removed compared with subcutaneous mastectomy. However, some breast tissue is
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usually left behind with both procedures. The risk of breast cancer after
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these procedures has not been well established.
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</p><p id="CDR0000062855__2154">The effectiveness of risk-reducing mastectomy (RRM) in women with <i>BRCA1</i> or <i>BRCA2</i> mutations has been evaluated in several studies. In one retrospective cohort study of 214 women considered to be at hereditary risk by virtue of a family history suggesting an <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339338/" class="def">autosomal dominant</a> predisposition, three women were diagnosed with breast cancer after bilateral RRM, with a median follow-up of 14 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_52">52</a>] As 37.4 cancers were expected, the calculated risk reduction was 92% (95% CI, 76.6–98.3). In a follow-up subset analysis, 176 of the 214 high-risk women in this cohort study underwent <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460195/" class="def">mutation analysis</a> of <i>BRCA1</i> and <i>BRCA2</i>. Mutations were found in 26 women (18 <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556486/" class="def">deleterious</a>, eight VUS). None of those women had developed breast cancer after a median follow-up of 13.4 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_53">53</a>] Two of the three women diagnosed with breast cancer after RRM were tested, and neither carried a mutation. The calculated risk reduction among mutation carriers was 89.5% to 100% (95% CI, 41.4%–100%), depending on the assumptions made about the expected numbers of cancers among mutation carriers and the status of the untested woman who developed cancer despite mastectomy. The result of this retrospective cohort study has been supported by a prospective analysis of 76 mutation carriers undergoing RRM and monitored prospectively for a mean of 2.9 years. No breast cancers were observed in these women, whereas eight were identified in women undergoing regular surveillance (HR for breast cancer after RRM, 0 [95% CI, 0–0.36]).[<a class="bk_pop" href="#CDR0000062855_rl_575_54">54</a>] </p><p id="CDR0000062855__2155">The Prevention and Observation of Surgical Endpoints study group estimated the degree of breast cancer risk reduction after RRM in <i>BRCA1/BRCA2</i> mutation carriers. The rate of breast cancer in 105 mutation carriers who underwent bilateral RRM was compared with that in 378 mutation carriers who did not choose surgery. Bilateral mastectomy reduced the risk of breast cancer by approximately 90% after a mean follow-up of 6.4 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_3">3</a>]</p><p id="CDR0000062855__2156">Another study evaluated the effectiveness of contralateral RRM in affected women with hereditary breast cancer. In a group of 148 <i>BRCA1</i> or <i>BRCA2</i> mutation carriers, 79 of whom underwent RRM, the risk of contralateral cancer was reduced by 91% and was independent of the effect of risk-reducing oophorectomy. Survival was better among women undergoing RRM, but this result was apparently associated with higher mortality due to the index cancer or metachronous ovarian cancer in the group not undergoing surgery.[<a class="bk_pop" href="#CDR0000062855_rl_575_55">55</a>] More recently, data from ten European centers on 550 women indicated that RRM was highly effective.[<a class="bk_pop" href="#CDR0000062855_rl_575_56">56</a>] Similarly, a retrospective study of 593 <i>BRCA1</i> and <i>BRCA2</i> mutation carriers included 105 women with unilateral breast cancer who underwent contralateral risk-reducing mastectomy and had a 10-year survival rate of 89%, compared with 71% in the group who did not undergo contralateral risk-reducing surgery (<i>P</i> < .001).[<a class="bk_pop" href="#CDR0000062855_rl_575_4">4</a>] However, these findings need to be confirmed in a larger series because of the potential presence of confounding factors (e.g., no information was provided regarding breast cancer screening practices, and there were missing grade and estrogen receptor (ER) statuses for a large proportion of the sample).</p><p id="CDR0000062855__2668">A retrospective study of 390 women with early-stage breast cancer who were from families with a known <i>BRCA1/2</i> mutation found a significant improvement in survival for women who underwent bilateral mastectomy compared with those who chose unilateral mastectomy.[<a class="bk_pop" href="#CDR0000062855_rl_575_57">57</a>] A multivariate analysis controlling for age at diagnosis, year of diagnosis, and treatment and other prognostic factors found that contralateral mastectomy was associated with a 48% reduction in death from breast cancer. This was a relatively small study with a high potential for confounding of prognostic factors.</p><p id="CDR0000062855__2157">Studies describing histopathologic findings in RRM specimens from women with <i>BRCA1</i> or <i>BRCA2</i> mutations have been somewhat inconsistent. In two series, proliferative lesions associated with an increased risk of breast cancer (lobular carcinoma <i>in situ</i>, atypical lobular hyperplasia, atypical ductal hyperplasia, DCIS) were noted in 37% to 46% of women with mutations undergoing either unilateral or bilateral RRM.[<a class="bk_pop" href="#CDR0000062855_rl_575_58">58</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_60">60</a>]
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In these series, 13% to 15% of patients were found to have previously unsuspected DCIS in the prophylactically removed breast. Among 47 cases of risk-reducing bilateral or contralateral mastectomies performed in known <i>BRCA1</i> or <i>BRCA2</i> mutation carriers from Australia, three (6%) cancers were detected at surgery.[<a class="bk_pop" href="#CDR0000062855_rl_575_61">61</a>] In a study from Sweden among 100 women with a hereditary risk of breast cancer, unsuspected lesions were found in 13 out of 50 <i>BRCA1/BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_62">62</a>] These findings were not replicated in a third retrospective cohort study. In this study, proliferative fibrocystic changes were noted in none of 11 bilateral mastectomies from patients with <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556486/" class="def">deleterious mutations</a> and in only two of seven contralateral unilateral risk-reducing mastectomies in affected mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_63">63</a>]</p><p id="CDR0000062855__2158">Although data are sparse, the evidence indicates that while a
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substantial proportion of women with a strong family history of breast cancer
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are interested in discussing RRM as a treatment option, uptake varies according to culture, geography, health care
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||
system, insurance coverage, provider attitudes, and other social factors. For
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example, in one setting where the providers made one or two field trips to family
|
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gatherings for family information sessions and individual counseling, only 3%
|
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of unaffected carriers obtained RRM within 1 year of
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follow-up.[<a class="bk_pop" href="#CDR0000062855_rl_575_64">64</a>] Among women at increased risk of breast cancer due to family
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history, fewer than 10% opted for mastectomy.[<a class="bk_pop" href="#CDR0000062855_rl_575_65">65</a>] Selection of this option was
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related to breast cancer–related worry as opposed to objective risk parameters
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(e.g., number of relatives with breast cancer). In contrast, in a Dutch study of highly motivated women being followed up every 6 months at a high-risk center, more than half (51%) of unaffected carriers opted for RRM. Almost 90% of the RRM surgeries were performed within 1 year of DNA testing. In this study, those most likely to have RRM were women younger than 55 years and with children.[<a class="bk_pop" href="#CDR0000062855_rl_575_66">66</a>] In addition, self-perceived
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risk has been closely linked to interest in RRM.[<a class="bk_pop" href="#CDR0000062855_rl_575_65">65</a>]</p><p id="CDR0000062855__2159">Assuming risk reduction in the range of 90%, a theoretical model suggests that for a group of 30-year-old women with <i>BRCA1</i> or <i>BRCA2</i> mutations, RRM would result in an average increased life expectancy of 2.9 to 5.3 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_67">67</a>] While these data are useful for public policy decisions, they cannot be individualized for clinical care as they include assumptions that cannot be fully tested. Another study of at-risk women showed a 70% time-tradeoff value, indicating that the women were willing to sacrifice 30% of life expectancy in order to avoid RRM.[<a class="bk_pop" href="#CDR0000062855_rl_575_68">68</a>] A cost-effectiveness analysis study estimated that risk-reducing surgery (mastectomy and oophorectomy) is cost-effective compared with surveillance with regard to years of life saved, but not for improved quality of life.[<a class="bk_pop" href="#CDR0000062855_rl_575_69">69</a>]</p><p id="CDR0000062855__2325">A computer-simulated survival analysis using a Monte Carlo model included breast MRI, mammography, RRM, and risk-reducing salpingo-oophorectomy (RRSO) and examined the impact of each of these separately on <i>BRCA1</i> and <i>BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_5">5</a>] The most effective strategy was found to be RRSO at age 40 years and RRM at age 25 years, in which case survival at age 70 years approached that of the general population. However, delaying mastectomy until age 40 years, or substituting RRM with screening with breast MRI and mammogram, had little impact on survival estimates. For example, replacing RRM with MRI-based screening in women with RRSO at age 40 years led to a 3% to 5% decrement in survival compared with RRM at age 25 years. The authors have developed an online tool.[<a class="bk_pop" href="#CDR0000062855_rl_575_70">70</a>] As with any model, uncertainty remains due to numerous assumptions; however, this provides additional information for women and their providers who are making these difficult decisions.</p><p id="CDR0000062855__2160">The Society of Surgical Oncology has endorsed RRM as an option for women with <i>BRCA1/BRCA2</i> mutations or strong family histories of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_71">71</a>]</p><p id="CDR0000062855__2161">Individual psychological factors have an important role in decision-making about RRM by unaffected women. Research is emerging about psychosocial outcomes of RRM. (Refer to the <a href="#CDR0000062855__602">Psychosocial Outcome Studies</a> section of this summary for more information.)</p><p id="CDR0000062855__2162"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531815/" class="def">Level of evidence: 3aii</a></p></div><div id="CDR0000062855__2163"><h5>Risk-reducing salpingo-oophorectomy (RRSO)</h5><p id="CDR0000062855__2164">In the general population, removal of both ovaries has been associated with a
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reduction in breast cancer risk of up to 75%, depending on parity, weight, and
|
||
age at time of artificial menopause. (Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062779/">Breast Cancer Prevention</a> for more information.) A Mayo Clinic study of 680 women at various levels of familial risk found that in women younger than 60 years who had bilateral oophorectomy, the likelihood of breast cancers developing was reduced for all risk groups.[<a class="bk_pop" href="#CDR0000062855_rl_575_72">72</a>] Ovarian ablation, however, is
|
||
associated with important side effects such as hot flashes, impaired sleep
|
||
habits, vaginal dryness, dyspareunia, and increased risk of osteoporosis and
|
||
heart disease. A variety of strategies may be necessary to counteract the
|
||
adverse effects of ovarian ablation.</p><p id="CDR0000062855__2165">In support of early small studies,[<a class="bk_pop" href="#CDR0000062855_rl_575_73">73</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_74">74</a>] a retrospective study of 551 women with disease-associated <i>BRCA1</i> or <i>BRCA2</i> mutations found a significant reduction in risk of breast cancer (HR, 0.47; 95% CI, 0.29–0.77) and ovarian cancer (HR, 0.04; 95% CI, 0.01–0.16) after RRSO.[<a class="bk_pop" href="#CDR0000062855_rl_575_75">75</a>] A prospective, single-institution study of 170 women with <i>BRCA1</i> or <i>BRCA2</i> mutations showed a similar trend. With RRSO, the HR was 0.15 (95% CI, 0.02–1.31) for ovarian, fallopian tube, or primary peritoneal cancer, and 0.32 (95% CI, 0.08–1.2) for breast cancer; the HR for either cancer was 0.25 (95% CI, 0.08–0.74).[<a class="bk_pop" href="#CDR0000062855_rl_575_76">76</a>] A prospective, multicenter study of 1,079 women followed up for a median of 30 to 35 months found that while RRSO was associated with reductions in breast cancer risk in both <i>BRCA1</i> and <i>BRCA2</i> mutation carriers, the risk reduction was more pronounced in <i>BRCA2</i> carriers (HR, 0.28; 95% CI, 0.08–0.92).[<a class="bk_pop" href="#CDR0000062855_rl_575_6">6</a>] A meta-analysis of all reports of RRSO and breast and ovarian/fallopian tube cancer in <i>BRCA1/BRCA2</i> mutation carriers confirmed that RRSO was associated with a significant reduction in breast cancer risk (overall: HR, 0.49; 95% CI, 0.37–0.65; <i>BRCA1</i>: HR, 0.47; 95% CI, 0.35–0.64; <i>BRCA2</i>: HR, 0.47; 95% CI, 0.26–0.84).[<a class="bk_pop" href="#CDR0000062855_rl_575_77">77</a>]</p><p id="CDR0000062855__2318">In addition to the reduction in incidence of both breast and ovarian cancer, a prospective, multicenter, cohort study of 2,482 <i>BRCA1/BRCA2</i> mutation carriers has reported an association of RRSO with a reduction in all-cause mortality (HR, 0.40; 95% CI, 0.26–0.61), breast cancer–specific mortality (HR, 0.44; 95% CI, 0.26–0.76), and ovarian cancer–specific mortality (HR, 0.21; 95% CI, 0.06–0.80).[<a class="bk_pop" href="#CDR0000062855_rl_575_2">2</a>]</p><p id="CDR0000062855__2166"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531814/" class="def">Level of evidence: 3ai</a></p></div></div><div id="CDR0000062855__2020"><h5>Chemoprevention</h5><div id="CDR0000062855__2021"><h5>Tamoxifen</h5><p id="CDR0000062855__2022">Tamoxifen (a synthetic antiestrogen) increases breast-cell growth inhibitory
|
||
factors and concomitantly reduces breast-cell growth stimulatory factors. The National Surgical Adjuvant Breast and Bowel Project Breast Cancer Prevention Trial (NSABP-P-1), a
|
||
prospective, randomized, double-blind trial, compared tamoxifen (20 mg/day)
|
||
with placebo for 5 years. Tamoxifen was shown to reduce the risk of invasive
|
||
breast cancer by 49%. The protective effect was largely confined to ER-positive breast cancer, which was reduced by 69%. The incidence of ER-negative cancer was not significantly reduced.[<a class="bk_pop" href="#CDR0000062855_rl_575_78">78</a>] Similar reductions were noted in the risk of
|
||
preinvasive breast cancer. Reductions in breast cancer risk were noted both among
|
||
women with a family history of breast cancer and in those without a family
|
||
history. An increased incidence of endometrial cancers and thrombotic events occurred among
|
||
women older than 50 years. Interim data
|
||
from two European tamoxifen prevention trials did not show a reduction in breast
|
||
cancer risk with tamoxifen after a median follow-up of 48 months [<a class="bk_pop" href="#CDR0000062855_rl_575_79">79</a>] or 70
|
||
months,[<a class="bk_pop" href="#CDR0000062855_rl_575_80">80</a>] respectively. In one trial, however, reduction in breast cancer risk
|
||
was seen among a subgroup who also used hormone replacement therapy (HRT).[<a class="bk_pop" href="#CDR0000062855_rl_575_79">79</a>] These trials varied
|
||
considerably in study design and populations. (Refer to the PDQ summary on
|
||
<a href="/books/n/pdqcis/CDR0000062779/">Breast Cancer Prevention</a> for more information.)
|
||
</p><p id="CDR0000062855__2820">Subsequently, the International Breast Cancer Intervention Study 1 (IBIS-1) breast cancer prevention trial randomly assigned 7,154 women between the ages of 35 and 70 years to receive tamoxifen or placebo for 5 years. Eligibility for the trial was based on family history or abnormal benign breast disease. At a median follow-up of 16 years, there was a 29% reduction in risk of breast cancer in the tamoxifen arm (hazard ratio [HR], 0.71; 95% confidence interval [CI], 0.60–0.83). There was a 43% reduction in risk for invasive ER-positive breast cancer (HR, 0.66; 95% CI, 0.54–0.81) and a 35% reduction in risk for DCIS (HR, 0.65; 95% CI 0.43–1.00). There was no reduction in risk of invasive ER-negative breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_81">81</a>] These findings confirm those of the Breast Cancer Prevention Trial (P-1).[<a class="bk_pop" href="#CDR0000062855_rl_575_78">78</a>]</p><p id="CDR0000062855__2854"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526277/" class="def">Level of evidence (tamoxifen in a high-risk population): 1aii</a></p><p id="CDR0000062855__2023">A substudy of the NSABP-P-1 trial evaluated the effectiveness of tamoxifen in preventing breast cancer in <i>BRCA1/BRCA2</i> mutation carriers older than 35 years. <i>BRCA2</i>-positive women benefited from tamoxifen to the same extent as <i>BRCA1/BRCA2</i> mutation–negative participants; however, tamoxifen use among healthy women with <i>BRCA1</i> mutations did not appear to reduce breast cancer incidence. These data must be viewed with caution in view of the small number of mutation carriers in the sample (8 <i>BRCA1</i> carriers and 11 <i>BRCA2</i> carriers).[<a class="bk_pop" href="#CDR0000062855_rl_575_82">82</a>]</p><p id="CDR0000062855__2855"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526277/" class="def">Level of evidence: 1aii</a></p><p id="CDR0000062855__2025">In contrast to the very limited data on primary prevention in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers with tamoxifen, several studies have found a protective effect of tamoxifen on the risk of contralateral breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_83">83</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_85">85</a>] In one study involving approximately 600 <i>BRCA1/BRCA2</i> mutation carriers, tamoxifen use was associated with a 51% reduction in contralateral breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_83">83</a>] An update to this report examined 285 <i>BRCA1/BRCA2</i> mutation carriers with bilateral breast cancer and 751 <i>BRCA1/BRCA2</i> mutation carriers with unilateral breast cancer (40% of these patients were included in their initial study). Tamoxifen was associated with a 50% reduction in contralateral breast cancer risk in <i>BRCA1</i> mutation carriers and a 58% reduction in <i>BRCA2</i> mutation carriers. Tamoxifen did not appear to confer benefit in women who had undergone an oophorectomy, although the numbers in this subgroup were quite small.[<a class="bk_pop" href="#CDR0000062855_rl_575_85">85</a>] Another study that involved 160 <i>BRCA1/BRCA2</i> mutation carriers demonstrated that tamoxifen use after the treatment of breast cancer with lumpectomy and radiation was associated with a 69% reduction in the risk of contralateral breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_84">84</a>] In another study, 2,464 <i>BRCA1/2</i> mutation carriers with a personal history of breast cancer were identified from three family cohorts. Using both retrospective and prospective data, researchers found a significant decrease in the risk of contralateral breast cancer among women who received adjuvant tamoxifen therapy after their diagnosis. This association persisted after researchers adjusted for age at diagnosis and the ER status of the first cancer. A major limitation of this study is the lack of information on ER status of the first breast cancer in 56% of the women.[<a class="bk_pop" href="#CDR0000062855_rl_575_86">86</a>] These studies are limited by their retrospective, case-control designs and the absence of information regarding ER status in the primary tumor.</p><p id="CDR0000062855__2026">The <a href="http://cancer.gov/clinicaltrials/search/view?version=healthprofessional&cdrid=651291" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">STAR trial</a> (NSABP-P-2) included more than 19,000 women and compared 5 years of raloxifene versus tamoxifen in reducing the risk of invasive breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_87">87</a>] There was no difference in incidence of invasive breast cancer at a mean follow-up of 3.9 years; however, there were fewer noninvasive cancers in the tamoxifen group. The incidence of thromboembolic events and hysterectomy was significantly lower in the raloxifene group. Detailed quality-of-life data demonstrate slight differences between the two arms.[<a class="bk_pop" href="#CDR0000062855_rl_575_88">88</a>] Data regarding efficacy in <i>BRCA1</i> or <i>BRCA2</i> mutation carriers are not available. (Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062779/">Breast Cancer Prevention</a> for more information about the use of selective ER modulators and aromatase inhibitors in the general population, including postmenopausal women.)</p><p id="CDR0000062855__2027">The effect of tamoxifen on ovarian cancer risk was studied in 714 <i>BRCA1</i> mutation carriers. All subjects had a prior history of breast cancer; use of tamoxifen was not associated with an increased risk of subsequent ovarian cancer (odds ratio [OR], 0.78; 95% CI, 0.46–1.33).[<a class="bk_pop" href="#CDR0000062855_rl_575_89">89</a>]</p></div></div><div id="CDR0000062855__2167"><h5>Reproductive factors</h5><p id="CDR0000062855__2169">In the general population, breast cancer risk increases with early menarche and
|
||
late menopause, and is reduced at early first full-term pregnancy. (Refer to the
|
||
PDQ summary on <a href="/books/n/pdqcis/CDR0000062779/">Breast Cancer Prevention</a> for more information.) In the
|
||
Nurses’ Health Study, these were risk factors among women who did not have a
|
||
mother or sister with breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_90">90</a>] Among women with a family history of
|
||
breast cancer, pregnancy at any age appeared to be associated with an increase
|
||
in risk of breast cancer, persisting to age 70 years.
|
||
</p><p id="CDR0000062855__2170">One study evaluated risk modifiers among 333 female carriers of a <i>BRCA1</i>
|
||
high-risk mutation. In women with known mutations of the <i>BRCA1</i> gene, early age
|
||
at first live birth and parity of three or more have been associated with a lowered
|
||
risk of breast cancer. A relative risk (RR) of 0.85 was estimated for each
|
||
additional birth, up to five or more; however, increasing parity appeared to be associated
|
||
with an increased risk of ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_91">91</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_92">92</a>] In a case-control study from New
|
||
Zealand, investigators noted no difference in the impact of parity on the
|
||
risk of breast cancer between women with a family history of breast cancer and
|
||
those without a family history.[<a class="bk_pop" href="#CDR0000062855_rl_575_93">93</a>]</p><p id="CDR0000062855__2171">Studies of the effect of pregnancy on breast cancer risk have revealed complex results and the relationship with parity has been inconsistent and may vary between <i>BRCA1</i> and <i>BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_94">94</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_96">96</a>] Parity has more consistently been associated with a reduced risk of breast cancer in <i>BRCA1</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_94">94</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_98">98</a>] Of note, neither therapeutic nor spontaneous abortions appear to be associated with an increased breast cancer risk.[<a class="bk_pop" href="#CDR0000062855_rl_575_96">96</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_99">99</a>]</p><p id="CDR0000062855__2172"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531818/" class="def">Level of evidence: 4aii</a></p><p id="CDR0000062855__2173">In the general population, breastfeeding has been associated with a slight reduction in breast cancer risk in a few studies, including a large collaborative reanalysis of multiple epidemiologic studies,[<a class="bk_pop" href="#CDR0000062855_rl_575_100">100</a>] and at least one study suggests that it may be protective in <i>BRCA1</i> mutation carriers. In a multicenter, case-control study of 685 <i>BRCA1</i> and 280 <i>BRCA2</i> mutation carriers with breast cancer and 965 mutation carriers without breast cancer drawn from multiple-case families, among <i>BRCA1</i> mutation carriers, breastfeeding for 1 year or more was associated with approximately a 45% reduced risk of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_101">101</a>] No such reduced risk was observed among <i>BRCA2</i> mutation carriers. A second study failed to confirm this association.[<a class="bk_pop" href="#CDR0000062855_rl_575_99">99</a>]</p><div id="CDR0000062855__2174"><h5>Oral contraceptives</h5><p id="CDR0000062855__2175">There is no consistent evidence that the use of oral contraceptives (OCs) increases the risk of breast cancer in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_575_102">102</a>] (Refer to the PDQ summary on
|
||
<a href="/books/n/pdqcis/CDR0000062779/">Breast Cancer Prevention</a> for more information.) </p><p id="CDR0000062855__2176">Although several smaller studies have reported a slightly increased risk of breast cancer with OC use in <i>BRCA1/BRCA2</i> mutation carriers,[<a class="bk_pop" href="#CDR0000062855_rl_575_103">103</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_104">104</a>] a meta-analysis concluded that the associated risk is not significant with more recent OC formulations.[<a class="bk_pop" href="#CDR0000062855_rl_575_105">105</a>] However, OCs formulated before 1975 were associated with an increased risk of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_105">105</a>] A large proportion of patients on whom this meta-analysis was based were drawn from three large studies summarized in Table 10.[<a class="bk_pop" href="#CDR0000062855_rl_575_106">106</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_108">108</a>]</p><div id="CDR0000062855__2177" class="table"><h3><span class="title">Table 10. Oral Contraceptive (OC) Use and Breast Cancer Risk in <i>BRCA1/BRCA2</i> Mutation Carriers</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2177/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2177_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="2" rowspan="1" style="vertical-align:top;"></th><th colspan="1" rowspan="1" style="vertical-align:top;">Brohet 2007<sup>a</sup>[<a class="bk_pop" href="#CDR0000062855_rl_575_106">106</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">Haile 2006<sup>b,c</sup>[<a class="bk_pop" href="#CDR0000062855_rl_575_107">107</a>]</th><th colspan="1" rowspan="1" style="vertical-align:top;">Narod 2002<sup>b</sup> [<a class="bk_pop" href="#CDR0000062855_rl_575_108">108</a>]</th></tr></thead><tbody><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Study Population</b>
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA1</i> Carriers with Breast Cancer</b></td><td colspan="1" rowspan="1" style="vertical-align:top;">N = 597 </td><td colspan="1" rowspan="1" style="vertical-align:top;">N = 195; diagnosis < age 50 y</td><td colspan="1" rowspan="1" style="vertical-align:top;"> N = 981 </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA2</i> Carriers with Breast Cancer</b></td><td colspan="1" rowspan="1" style="vertical-align:top;">N = 249</td><td colspan="1" rowspan="1" style="vertical-align:top;">N = 128; diagnosis < age 50 y</td><td colspan="1" rowspan="1" style="vertical-align:top;">N = 330</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Ever Use OC</b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA1</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">1.47 [CI 1.13–1.91] </td><td colspan="1" rowspan="1" style="vertical-align:top;">0.64 [CI 0.35–1.16]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.38 [CI 1.11–1.72] <i>P</i> = .003</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA2</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">1.49 [Cl 0.8–2.7]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.29 [Cl 0.61–2.76]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.94 [Cl 0.72–1.24]</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Age Use <20 y</b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA1</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">1.41 [Cl 0.99–2.01]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.84 [Cl 0.45–1.55]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.36 [Cl 1.11–1.67] <i>P</i> = .003</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA2</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">1.25 [Cl 0.57–2.74]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.64 [Cl 0.77–3.46]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Not reported </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Total Duration</b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA1</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><9 y: 1.51 [Cl 1.1–2.08]</td><td colspan="1" rowspan="1" style="vertical-align:top;"><5 y: 0.61 [Cl 0.31–1.17] </td><td colspan="1" rowspan="1" style="vertical-align:top;"><10 y: 1.36 [Cl 1.11–167] <i>P</i> = .003 </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA2</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><9 y: 2.27 [Cl 1.1–4.65]</td><td colspan="1" rowspan="1" style="vertical-align:top;"><5 y: 0.79 [Cl 0.26–2.37]</td><td colspan="1" rowspan="1" style="vertical-align:top;"><10 y: 0.82 [Cl 0.56–1.91]</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Use Before Full-term Pregnancy</b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA1</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">>4 y: 1.49 [Cl 1.05–2.11]</td><td colspan="1" rowspan="1" style="vertical-align:top;">>4 y: 0.69 [Cl 0.41–1.16] </td><td colspan="1" rowspan="2" style="vertical-align:top;">Not evaluated</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA2</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">>4 y: 2.58 [Cl 1.21–5.49]</td><td colspan="1" rowspan="1" style="vertical-align:top;">>4 y: 2.08 [Cl 1.02–4.25] trend per y: 1.11; <i>P</i> trend = .01</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Use Before 1975</b>
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA1</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">1.48 [Cl 1.11–1.98]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Excluded patients who used OC before 1975</td><td colspan="1" rowspan="2" style="vertical-align:top;">1.42 [Cl 1.17–1.75] <i>P</i> < .001 </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA2</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">1.36 [Cl 0.71–2.58]</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Use After 1975 </b></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA1</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">1.57 [Cl 1.11–2.22]</td><td colspan="1" rowspan="1" style="vertical-align:top;">0.65 [Cl 0.36–1.19]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Not evaluated</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b><i>BRCA2</i></b></td><td colspan="1" rowspan="1" style="vertical-align:top;">1.53 [Cl 0.75–3.12]</td><td colspan="1" rowspan="1" style="vertical-align:top;">1.21 [Cl 0.56–2.58]</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">CI = confidence interval.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>a</sup>Reports risk estimates in the form of hazard ratios with 95% confidence intervals.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>b</sup>Reports risk estimates in the form of odds ratios with 95% confidence intervals.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>c</sup>Risk estimates restricted to <i>BRCA</i> mutation carriers younger than 40 years.</p></div></dd></dl></div></div></div><p id="CDR0000062855__2178">When patients are counseled about contraceptive options and preventive actions, the potential
|
||
impact of OC use on the risk of breast cancer and ovarian
|
||
cancer and other health-related effects of OCs need to
|
||
be considered.
|
||
A number of important issues remain unresolved, including the potential differences between <i>BRCA1</i> and <i>BRCA2</i> mutation carriers, effect of age and duration of exposure, and effect of OCs on families with highly penetrant early-onset breast cancer.</p><p id="CDR0000062855__2179"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531815/" class="def">Level of evidence: 3aii</a></p><p id="CDR0000062855__2409">(Refer to the <a href="#CDR0000062855__2247">Oral contraceptives</a> section in the <a href="#CDR0000062855__2020">Chemoprevention</a> section of this summary for a discussion of OC use and ovarian cancer in this population.)
|
||
</p></div><div id="CDR0000062855__2180"><h5>Hormone replacement therapy</h5><p id="CDR0000062855__2181">Both observational and randomized clinical trial data suggest an increased risk of breast cancer associated with HRT in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_575_109">109</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_112">112</a>] The <a href="http://clinicaltrials.gov/show/NCT00000611" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Women’s Health Initiative</a> (WHI) was a randomized controlled trial of approximately 160,000 postmenopausal women that investigated the risks and benefits of dietary interventions and hormone therapy to reduce the incidence of heart disease, breast cancer, colorectal cancer, and fractures. The estrogen-plus-progestin arm of the study, in which more than 16,000 women were randomly assigned to receive combined hormone therapy or placebo, was halted early because health risks exceeded benefits.[<a class="bk_pop" href="#CDR0000062855_rl_575_111">111</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_112">112</a>] One of the adverse outcomes prompting closure was a significant increase in both total (245 vs. 185 cases) and invasive (199 vs. 150) breast cancers (RR, 1.24; 95% CI, 1.02–1.50; <i>P</i> < .001) in women randomly assigned to receive estrogen and progestin.[<a class="bk_pop" href="#CDR0000062855_rl_575_112">112</a>] Results of a follow-up study suggest that the recent reduction in breast cancer incidence, especially among women aged 50 to 69 years, is predominantly related to decrease in use of combined estrogen plus progestin HRT.[<a class="bk_pop" href="#CDR0000062855_rl_575_113">113</a>] HRT-related breast cancers had adverse prognostic characteristics (more advanced stages and larger tumors) compared with cancers occurring in the placebo group, and HRT was also associated with a substantial increase in abnormal mammograms.[<a class="bk_pop" href="#CDR0000062855_rl_575_112">112</a>]</p><p id="CDR0000062855__2182">Breast
|
||
cancer risk associated with postmenopausal HRT has been variably reported to be
|
||
increased [<a class="bk_pop" href="#CDR0000062855_rl_575_114">114</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_116">116</a>] or unaffected by a family history of breast cancer;[<a class="bk_pop" href="#CDR0000062855_rl_575_91">91</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_117">117</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_118">118</a>]
|
||
risk did not vary by family history in the meta-analysis.[<a class="bk_pop" href="#CDR0000062855_rl_575_102">102</a>] The WHI study has not reported analyses stratified on breast cancer family history, and subjects have not been systematically tested for <i>BRCA1/BRCA2</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_575_112">112</a>] Short-term use
|
||
of hormones for treatment of menopausal symptoms appears to confer little or no
|
||
breast cancer risk in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_575_119">119</a>]</p><div id="CDR0000062855__2183"><h5>Hormone replacement therapy in <i>BRCA1/BRCA2</i> mutation carriers</h5><p id="CDR0000062855__2184">The effect of HRT on breast cancer risk among carriers of a <i>BRCA1</i> or <i>BRCA2</i> mutation has been examined in two studies. In a prospective study of 462 <i>BRCA1</i> or <i>BRCA2</i> mutation carriers, bilateral RRSO (n = 155) was significantly associated with breast cancer risk-reduction overall (HR, 0.40; 95% CI, 0.18–0.92). When mutation carriers without bilateral RRSO or HRT were used as the comparison group, HRT use (n = 93) did not significantly alter the reduction in breast cancer risk associated with bilateral RRSO (HR, 0.37; 95% CI, 0.14–0.96).[<a class="bk_pop" href="#CDR0000062855_rl_575_120">120</a>] In a matched case-control study of 472 postmenopausal women with <i>BRCA1</i> mutations, HRT use was associated with an overall reduction in breast cancer risk (OR, 0.58; 95% CI, 0.35–0.96; <i>P</i> = .03). A nonsignificant reduction in risk was observed both in women who had undergone bilateral oophorectomy and in those who had not. Women taking estrogen alone had an OR of 0.51 (95% CI, 0.27–0.98; <i>P</i> = .04), while the association with estrogen and progesterone was not statistically significant (OR, 0.66; 95% CI, 0.34–1.27; <i>P</i> = .21).[<a class="bk_pop" href="#CDR0000062855_rl_575_121">121</a>] Especially given the differences in estimated risk associated with HRT between observational studies and the WHI, these findings should be confirmed in randomized prospective studies,[<a class="bk_pop" href="#CDR0000062855_rl_575_122">122</a>] but they suggest that HRT in <i>BRCA1</i>/<i>BRCA2</i> mutation carriers neither increases breast cancer risk nor negates the protective effect of oophorectomy.</p><p id="CDR0000062855__2185"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531815/" class="def">Level of evidence: 3aii</a></p></div></div></div></div><div id="CDR0000062855__2186"><h4>Ovarian cancer</h4><div id="CDR0000062855__2187"><h5>Screening/surveillance</h5><p id="CDR0000062855__2188">Refer to the PDQ summary on <a href="/books/n/pdqcis/CDR0000062760/">Ovarian, Fallopian Tube, and Primary Peritoneal Cancer Screening</a> for information
|
||
on screening in the general population and to the PDQ summary <a href="/books/n/pdqcis/CDR0000685387/">Levels of Evidence for Cancer Genetics Studies</a> for information about levels of evidence related to screening
|
||
and prevention.
|
||
The latter also outlines the five requirements that must be met before it is considered appropriate to screen for a particular medical condition as part of routine medical practice.</p><div id="CDR0000062855__2189"><h5>Clinical examination</h5><p id="CDR0000062855__2190">In the general population, clinical examination of the ovaries has neither the
|
||
specificity nor the sensitivity to reliably identify early ovarian cancer. No data
|
||
exist regarding the benefit of clinical examination of the ovaries (bimanual
|
||
pelvic examination) in women at inherited risk of ovarian cancer.
|
||
</p><p id="CDR0000062855__2191">Level of evidence: None assigned
|
||
</p></div><div id="CDR0000062855__2192"><h5>Transvaginal ultrasound</h5><p id="CDR0000062855__2193">In the general population, transvaginal ultrasound (TVUS) appears to be superior to transabdominal
|
||
ultrasound in the preoperative diagnosis of adnexal masses. Both techniques have
|
||
lower specificity in premenopausal women than in postmenopausal women due to
|
||
the cyclic menstrual changes in premenopausal ovaries (e.g., transient corpus luteum cysts) that can cause
|
||
difficulty in interpretation. The randomized prospective Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (<a href="http://cancer.gov/clinicaltrials/search/view?version=healthprofessional&cdrid=78532" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">PLCO-1</a>) found no reduction in mortality with the annual use of combined TVUS and cancer antigen 125 (CA-125) in screening asymptomatic postmenopausal women at general-population risk of ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_123">123</a>]</p><p id="CDR0000062855__2194">Data are limited regarding the potential benefit of TVUS in
|
||
screening women at inherited risk of ovarian cancer. A number of retrospective studies have reported experience with ovarian cancer screening in high-risk women using TVUS with or without CA-125.[<a class="bk_pop" href="#CDR0000062855_rl_575_9">9</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_124">124</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_134">134</a>] However, there is little uniformity in the definition of high-risk criteria and compliance with screening, and in whether cancers detected were incident or prevalent. One of the largest reported studies included 888 <i>BRCA1/BRCA2</i> mutation carriers who were screened annually with TVUS and CA-125. Ten women developed ovarian cancer; five of the ten developed interval cancers after normal screening results within 3 to 10 months before diagnosis. Five of the ten ovarian cancers were screen-detected incident cases, which had normal screening results within 6 to 14 months before diagnosis. Of these five cases, four were stage IIIB or IV.[<a class="bk_pop" href="#CDR0000062855_rl_575_124">124</a>]</p><p id="CDR0000062855__2195">A similar study reported the results of annual TVUS and CA-125 in a cohort of 312 high-risk women (152 <i>BRCA1/BRCA2</i> mutation carriers).[<a class="bk_pop" href="#CDR0000062855_rl_575_126">126</a>] Of the four cancers that were detected due to abnormal TVUS and CA-125, all four patients were symptomatic, and three had advanced-stage disease. Annual screening of <i>BRCA1/BRCA2</i> mutation carriers with pelvic ultrasound, TVUS, and CA-125 failed to detect early-stage ovarian cancer among 241 <i>BRCA1/BRCA2</i> mutation carriers in a study from the Netherlands.[<a class="bk_pop" href="#CDR0000062855_rl_575_135">135</a>] Three cancers were detected over the course of the study, all advanced stage IIIC disease.[<a class="bk_pop" href="#CDR0000062855_rl_575_135">135</a>] Finally, a study of 1,100 moderate- and high-risk women who underwent annual TVUS and CA-125 reported that ten of 13 ovarian tumors were detected due to screening. Only five of ten were stage I or II.[<a class="bk_pop" href="#CDR0000062855_rl_575_125">125</a>] There are limited data related to the efficacy of semiannual screening with TVUS and CA-125.[<a class="bk_pop" href="#CDR0000062855_rl_575_9">9</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_133">133</a>]</p><p id="CDR0000062855__2699">In the United Kingdom Familial Ovarian Cancer Screening Study, 3,563 women with an estimated 10% or higher lifetime risk of ovarian cancer were screened with annual ultrasound and serum CA-125 measurements for a mean of 3.2 years. Four of 13 screen-detected cancers were stage I or II. Women screened within the previous year were less likely to have higher than stage IIIC disease; there was also a trend towards better rates of optimal cytoreduction and improved overall survival. Furthermore, most of the cancers occurred in women with known ovarian cancer susceptibility genes, identifying a cohort at highest cancer risk for consideration of screening.[<a class="bk_pop" href="#CDR0000062855_rl_575_136">136</a>] Phase II of this study increased the frequency of screening to every 4 months; the impact of this is not yet available. </p><p id="CDR0000062855__2196">The first prospective study of TVUS and CA-125 with survival as the primary outcome was completed in 2009. Of the 3,532 high-risk women screened, 981 were <i>BRCA</i> mutation carriers, 49 of whom developed ovarian cancer. The 5- and 10-year survival was 58.6% (95% CI, 50.9–66.3) and 36% (95% CI, 27–45), respectively, and there was no difference in survival between carriers and noncarriers. A major limitation of the study was the absence of a control group. Despite limitations, this study suggests that annual surveillance by TVUS and CA-125 level appear to be ineffective in detecting tumors at an early stage to substantially influence survival.[<a class="bk_pop" href="#CDR0000062855_rl_575_137">137</a>]</p><p id="CDR0000062855__2197"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531827/" class="def">Level of evidence: 4</a></p></div><div id="CDR0000062855__2198"><h5>Serum CA-125</h5><p id="CDR0000062855__2199">Serum CA-125 screening for ovarian cancer in high-risk women has been evaluated in combination with TVUS in a number of retrospective studies, as described in the previous section.[<a class="bk_pop" href="#CDR0000062855_rl_575_9">9</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_124">124</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_133">133</a>]</p><p id="CDR0000062855__2200">The National Institutes of Health (NIH) Consensus Statement on Ovarian
|
||
Cancer recommended against routine screening of the general population for
|
||
ovarian cancer with serum CA-125. (Refer to the <a href="/books/n/pdqcis/CDR0000062760/#CDR0000062760__126">Combined CA-125 and TVU</a> section in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062760/">Ovarian Cancer Screening</a> for more information.) The NIH Consensus Statement did, however,
|
||
recommend that women at inherited risk of ovarian cancer undergo TVUS and serum CA-125 screening every 6 to 12 months, beginning at age 35 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_138">138</a>] The
|
||
Cancer Genetics Studies Consortium task force has recommended that female carriers
|
||
of a deleterious <i>BRCA1</i> mutation undergo annual or semiannual screening using TVUS
|
||
and serum CA-125 levels, beginning at age 25 to 35 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_11">11</a>] Both recommendations are based solely on expert opinion and best clinical judgment.
|
||
</p><p id="CDR0000062855__2201"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526280/" class="def">Level of evidence: 5</a></p></div><div id="CDR0000062855__2202"><h5>Other candidate ovarian cancer biomarkers</h5><p id="CDR0000062855__2203">The need for effective ovarian cancer screening is particularly important for women carrying mutations in <i>BRCA1</i> and <i>BRCA2</i>, and the mismatch repair (MMR) genes (e.g., <i>MLH1</i>, <i>MSH2</i>, <i>MSH6</i>, <i>PMS2</i>), disorders in which the risk of ovarian cancer is high. There is a special sense of urgency for <i>BRCA1</i> mutation carriers, in whom cumulative lifetime risks of ovarian cancer may exceed 40%.</p><p id="CDR0000062855__2204">Thus, it is expected that many new ovarian cancer biomarkers (either singly or in combination) will be proposed as ovarian cancer screening strategies during the next 5 to 10 years. While this is an active area of research with a number of promising new biomarkers in early development, <b> at present, none of these biomarkers alone or in combination have been sufficiently well studied to justify their routine clinical use for screening purposes</b>, either in the general population or in women at increased genetic risk.</p><p id="CDR0000062855__2205">Before information related to emerging ovarian cancer biomarkers is addressed, it is important to consider the several steps that are required to develop and, more importantly, validate a new biomarker. One useful framework is that published by the National Cancer Institute Early Detection Research Network investigators.[<a class="bk_pop" href="#CDR0000062855_rl_575_139">139</a>] They indicated that the goal of a cancer-screening program is to detect tumors at an early stage so that treatment is likely to be successful. The gold standard by which such programs are judged is whether the death rate from the cancer for which screening is performed is reduced among those being screened. In addition, the screening test must be sufficiently noninvasive and inexpensive to allow widespread use in the population to be screened. Maintaining high test specificity (i.e., few false-positive results) is essential for a population screening test, because even a low false-positive rate results in many people having to undergo unnecessary and costly diagnostic procedures and psychological stress. It is likely that the use of several such cancer biomarkers in combination will be required for a screening test to be both sensitive and specific.</p><p id="CDR0000062855__2206">Furthermore, a clinically useful test must have a high PPV (a parameter derived from sensitivity, specificity, and disease prevalence in the screened population). Practically speaking, a biomarker with a PPV of 10% implies that ten surgical procedures would be required to identify one case of ovarian cancer; the remaining nine surgeries would represent false-positive test findings. In general, the ovarian cancer research community considers biomarkers with a PPV less than 10% to be clinically unacceptable, given the morbidity related to bilateral salpingo-oophorectomy. Finally, it is important to keep in mind that while novel biomarkers may be present in the sera of women with advanced ovarian cancer (who represent most cases analyzed in the early phases of biomarker development), they may or may not be detectable in women with early-stage disease, which is essential if the screening test is to be clinically useful.</p><p id="CDR0000062855__2207">It has been suggested that there are five general phases in biomarker development and validation are currently suggested:</p><h5><span class="title">Phase I — Preclinical exploratory studies</span></h5><ul id="CDR0000062855__2208"><li class="half_rhythm"><div>Identify potentially discriminating biomarkers.</div></li><li class="half_rhythm"><div>Usually done by comparing gene over- or underexpression in the tumor compared with normal tissue.</div></li><li class="half_rhythm"><div>Because many exploratory analyses in large numbers of genes are performed at this stage, one or more may seem to have good discriminating ability between cancers and normal tissue by random chance alone.</div></li></ul><h5><span class="title">Phase 2 — Clinical assay development for clinical disease</span></h5><ul id="CDR0000062855__2209"><li class="half_rhythm"><div>Develop a clinical assay that can be obtained on noninvasively obtained samples (e.g., a blood specimen).</div></li><li class="half_rhythm"><div>Often the test targets the protein product of one of the genes found to be of interest in phase I.</div></li><li class="half_rhythm"><div>The goal is to describe the performance characteristics of the assay for distinguishing between subjects with and without cancer. At this point, the assay should be in its final configuration and remain stable throughout the following phases.</div></li><li class="half_rhythm"><div>IMPORTANT: Because the case subjects in a phase 2 study <b>already have cancer</b>, with assay results obtained at the time of disease diagnosis, one cannot determine whether disease can be detected early with a given biomarker.</div></li></ul><h5><span class="title">Phase 3 — Retrospective longitudinal repository studies</span></h5><ul id="CDR0000062855__2210"><li class="half_rhythm"><div>Compare clinical specimens collected from cancer case subjects before their clinical diagnosis with specimens from subjects who have not developed cancer.</div></li><li class="half_rhythm"><div>Evaluate, as a function of time before clinical diagnosis, the biomarker’s ability to detect preclinical disease.</div></li><li class="half_rhythm"><div>Define the criteria for a positive screening test in preparation for phase 4.</div></li><li class="half_rhythm"><div>Explore the influence of other patient characteristics (e.g., age, gender, smoking status, medication use) on the ability of the biomarker to discriminate between those with and without preclinical disease.</div></li></ul><h5><span class="title">Phase 4 — Prospective screening studies</span></h5><ul id="CDR0000062855__2211"><li class="half_rhythm"><div>Determine the operating characteristics of the biomarker-based screening test in a population for which the test is intended.</div></li><li class="half_rhythm"><div>Measure the detection rate (number of abnormal tests among all those with the disease) and the false-positive rate (the number of abnormal tests among all those who do not have the disease).</div></li><li class="half_rhythm"><div>Evaluate whether the cancers detected by the test are being found at an early stage, a point at which treatment is more likely to be curative.</div></li><li class="half_rhythm"><div>Assess whether the test is acceptable in a population of persons for whom it is intended. Will subjects comply with the test schedule and results?</div></li></ul><h5><span class="title">Phase 5 — Cancer control studies</span></h5><ul id="CDR0000062855__2212"><li class="half_rhythm"><div>Ideally, conduct randomized controlled clinical trials in clinically relevant populations, in which one arm is subjected to screening and appropriate intervention if screen-positive, while the other arm is not screened.</div></li><li class="half_rhythm"><div>Determine whether the death rate of the cancer being screened for is reduced among those who use the screening test.</div></li><li class="half_rhythm"><div>Obtain information about the costs of screening and treatment of screen-detected cancers.</div></li></ul><p id="CDR0000062855__2213">Finally, for a validated biomarker test to be considered appropriate for use in a particular population, it must have been evaluated in that specific population without prior selection of known positives and negatives. In addition, the test must demonstrate clinical utility, that is, a positive net balance of benefits and risks associated with the application of the test. These may include improved health outcomes and net psychosocial and economic benefits.[<a class="bk_pop" href="#CDR0000062855_rl_575_140">140</a>]</p><p id="CDR0000062855__2214">Ovarian cancer poses a unique challenge relative to the potential impact of false-positive test results. There are no reliable noninvasive diagnostic tests for early-stage disease, and clinically significant early-stage cancer may not be grossly visible at the time of exploratory surgery.[<a class="bk_pop" href="#CDR0000062855_rl_575_141">141</a>] Consequently, it is likely that some patients will be reassured that their abnormal test does not indicate the presence of cancer only by having their ovaries and fallopian tubes surgically removed and examined microscopically.
|
||
High test specificity (i.e., a very low false-positive rate) is required to avoid unnecessary surgery and induction of premature menopause women with in false-positive results.
|
||
</p><div id="CDR0000062855__2215"><h5>Variations on CA-125</h5><div id="CDR0000062855__2216"><h5>CA-125 plus an ovarian cancer symptom index</h5><p id="CDR0000062855__2217">An ovarian cancer symptom index for predicting the presence of cancer was evaluated in 75 cases and 254 high-risk controls (<i>BRCA</i> mutation carriers or women with a strong family history of breast and ovarian cancer).[<a class="bk_pop" href="#CDR0000062855_rl_575_142">142</a>] Women had a positive symptom index if they reported any of the predefined symptoms (bloating or increase in abdominal size, abdominal or pelvic pain, and difficulty eating or feeling full quickly) more than 12 times per month, occurring only within the prior 12 months. CA-125 values greater than 30 U/mL were considered abnormal. The symptom index independently predicted the presence of ovarian cancer, after controlling for CA-125 levels (<i>P</i> < .05). The combination of an elevated CA-125 and a positive-symptom index correctly identified 89.3% of the cases. The symptom index correlated with the presence of cancer in 50% of the affected women who did not have elevated CA-125 levels, but 11.8% of the high-risk controls without cancer also had a positive-symptom index. The authors suggested that a composite index that included both CA-125 and the symptom index had better performance characteristics than either test used alone, and that this strategy might be used as a first screen in a multistep screening program. Additional test performance validation and determination of clinical utility are required in unselected screening populations.</p><p id="CDR0000062855__2218"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526280/" class="def">Level of evidence: 5</a></p></div><div id="CDR0000062855__2219"><h5>Risk of ovarian cancer algorithm</h5><p id="CDR0000062855__2220">A novel modification of CA-125 screening is based on the hypothesis that rising CA-125 levels over time may provide better ovarian cancer screening performance characteristics than simply classifying CA-125 as normal or abnormal based on an arbitrary cut-off value. This has been implemented in the form of the risk of ovarian cancer algorithm (ROCA), an investigational statistical model that incorporates serial CA-125 test results and other covariates into a computation that produces an estimate of the likelihood that ovarian cancer is present in the screened subject. The first report of this strategy, based on reanalysis of 5,550 average-risk women from the Stockholm Ovarian Cancer screening trial, suggested that ovarian cancer cases and controls could be distinguished with 99.7% sensitivity, 83% specificity, and a PPV of 16%. That PPV represents an eightfold increase over the 2% PPV reported with a single measure of CA-125.[<a class="bk_pop" href="#CDR0000062855_rl_575_143">143</a>] This report was followed by applying the ROCA to 33,621 serial CA-125 values obtained from the 9,233 average-risk postmenopausal women in a prospective British ovarian cancer screening trial.[<a class="bk_pop" href="#CDR0000062855_rl_575_144">144</a>] The area under the receiver operator curve increased from 84% to 93% (<i>P</i> = .01) for ROCA compared with a fixed CA-125 cutoff. These observations represented the first evidence that preclinical detection of ovarian cancer might be improved using this screening strategy. A prospective study of 13,000 normal volunteers aged 50 years and older in England used serial CA-125 values and the ROCA to stratify participants into low, intermediate, and elevated risk subgroups.[<a class="bk_pop" href="#CDR0000062855_rl_575_145">145</a>] Each had its own prescribed management strategy, including TVUS and repeat CA-125 either annually (low risk) or at 3 months (intermediate risk). Using this protocol, ROCA was found to have a specificity of 99.8% and a PPV of 19%.</p><p id="CDR0000062855__2221">Two prospective trials in England utilized the ROCA. The United Kingdom Collaborative Trial of Ovarian Cancer Screening (<a href="http://cancer.gov/clinicaltrials/search/view?version=healthprofessional&cdrid=285690" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">UKCTOCS</a>) randomly assigned normal-risk women to either (1) no screening, (2) annual ultrasound, or (3) multimodal screening (N = 202,638; accrual completed; follow-up ends in 2014), and the U.K. Familial Ovarian Cancer Screening Study (<a href="http://cancer.gov/clinicaltrials/search/view?version=healthprofessional&cdrid=69292" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">UKFOCSS</a>) targeted high-risk women (accrual completed). There are also two high-risk cohorts using the ROCA under evaluation in the United States: the <a href="http://www.cancer.gov/clinicaltrials/search/view?cdrid=69397&protocolsearchid=5126226&version=healthprofessional" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Cancer Genetics Network ROCA Study</a> (N = 2,500; follow-up complete; analysis underway) and the Gynecologic Oncology Group Protocol 199 (<a href="http://cancer.gov/clinicaltrials/search/view?version=healthprofessional&cdrid=257695" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">GOG-0199</a>; enrollment complete; follow-up ended in 2011).[<a class="bk_pop" href="#CDR0000062855_rl_575_146">146</a>] Thus, additional data regarding the utility of this currently investigational screening strategy will become available within the next few years.</p><p id="CDR0000062855__2222"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531827/" class="def">Level of evidence: 4</a></p></div></div><div id="CDR0000062855__2223"><h5>Miscellaneous new markers</h5><p id="CDR0000062855__2224">A wide array of new candidate ovarian cancer biomarkers has been described during the past decade, e.g., HE4; mesothelin; kallikreins 6, 10, and 11; osteopontin; prostasin; M-CSF; OVX1; lysophosphatidic acid; vascular endothelial growth factor B7-H4; and interleukins 6 and 8.[<a class="bk_pop" href="#CDR0000062855_rl_575_147">147</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_149">149</a>] These have been singly studied, in combination with CA-125, or in various other permutations. Most of the study populations are relatively small and comprise highly selected, known ovarian cancer cases and healthy controls of the type evaluated in early biomarker development phases 1 and 2. Results have not been consistently replicated in multiple studies; presently, none are considered ready for widespread clinical application.</p><p id="CDR0000062855__2225"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526280/" class="def">Level of evidence: 5</a></p></div><div id="CDR0000062855__2226"><h5>Proteomics</h5><p id="CDR0000062855__2227">Initially, mass spectroscopy of serum proteins was combined with complex analytic algorithms to identify protein patterns that might distinguish between ovarian cancer cases and controls.[<a class="bk_pop" href="#CDR0000062855_rl_575_150">150</a>] This approach assumed that pattern recognition alone would be sufficient to permit such discrimination, and that identification of the specific proteins responsible for the patterns identified was not required. This strategy was modified, using similar laboratory tools, to identify finite numbers of specific known serum markers that may be used in place of, or in conjunction with, CA-125 measurements for the early detection of cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_151">151</a>] These studies [<a class="bk_pop" href="#CDR0000062855_rl_575_149">149</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_152">152</a>] have generally been small case-control studies that are limited by sample size and the number of early-stage cancer cases included. Further evaluation is needed to determine whether any additional markers identified in this fashion have clinical utility for the early detection of ovarian cancer in the unselected clinical population of interest.</p><p id="CDR0000062855__2228"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526280/" class="def">Level of evidence: 5</a></p></div><div id="CDR0000062855__2229"><h5>Multiplex assays</h5><p id="CDR0000062855__2230">Because individual biomarkers have not met the criteria for an effective screening test, it has been suggested that it may be necessary to combine multiple ovarian cancer biomarkers to obtain satisfactory screening test results. This strategy was employed to quantitatively analyze six serum biomarkers (leptin, prolactin, osteopontin, insulin-like growth factor II, macrophage inhibitory factor, and CA-125), using a multiplex, bead-based platform.[<a class="bk_pop" href="#CDR0000062855_rl_575_153">153</a>] A similar assay was available commercially under the trade name OvaSure until its voluntary withdrawal from the market by the manufacturer.[<a href="http://www.sec.gov/Archives/edgar/data/920148/000092014808000236/ex99-1.htm" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Response to FDA Warning Letter</a>]</p><p id="CDR0000062855__2231">The cases in this study were newly diagnosed ovarian cancer patients who had blood collected just before surgery: 36 were stage I and II; 120 were stage III and IV. The controls were healthy age-matched individuals who had not developed ovarian cancer within 6 months of blood draw. Neither cases nor controls in this study were well characterized regarding their familial and/or genetic risk status, but they have been suggested to comprise a high-risk population. First, 181 controls and 113 ovarian cancer cases were tested to determine the initial panel of biomarkers that best discriminated between cases and controls (training set). The resulting panel was applied to an additional 181 controls and 43 ovarian cancer cases (test set). Pooling both early- and late-stage ovarian cancer across the combined training and test sets, performance characteristics were reported as a sensitivity of 95.3% and a specificity of 99.4%, with a PPV of 99.3% and a <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460198/" class="def">negative predictive value</a> of 99.2%, using a formula that assumed an ovarian cancer prevalence of about 50%, as seen in the highly selected research population. </p><p id="CDR0000062855__2232">To avoid biases that may make test performance appear to be better than it really is, combining training populations and test populations in analyses of this sort is generally not recommended.[<a class="bk_pop" href="#CDR0000062855_rl_575_154">154</a>] The most appropriate prevalence to use is the disease prevalence in the unselected population to be screened. The prevalence of ovarian cancer in the general population is 1 in 2,500. In a correction to their manuscript,[<a class="bk_pop" href="#CDR0000062855_rl_575_153">153</a>] the authors assumed that the prevalence of ovarian cancer in the screened population was 1 in 2,500 (0.04%) and recalculated the PPV to be only 6.5%. On that basis, the investigators have retracted their claim that this test is suitable for population screening. If this test were used in patients at increased risk of ovarian cancer, the actual prevalence in such a target population is likely to be higher than that observed in the general population, but well below the assumed 50% figure used in the published analysis. This revised PPV of 6.5% indicates that approximately 1 in 15 women with a positive test would in fact have ovarian cancer, and only a fraction of those with ovarian cancer would be stages I or II. The remaining 14 positive tests would represent false-positives, and these women would be at risk of exposure to needless anxiety and potentially morbid diagnostic procedures, including bilateral salpingo-oophorectomy.</p><p id="CDR0000062855__2233">Viewed in the context of the criteria previously described,[<a class="bk_pop" href="#CDR0000062855_rl_575_139">139</a>] this assay would be classified as phase 2 in its development. While this appears to be a promising avenue of ovarian cancer screening research, additional validation is required, particularly in an unselected population representative of the clinical screening population of interest. A <a href="https://www.sgo.org/wp-content/uploads/2012/09/Statement-on-OvaSure.pdf" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">position statement</a> by the Society of Gynecologic Oncologists regarding this assay indicated “it is our opinion that additional research is needed to validate the test’s effectiveness before offering it to women outside of the context of a research study conducted with appropriate informed consent under the auspices of an institutional review board.”</p><p id="CDR0000062855__2234"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000526280/" class="def">Level of evidence: 5</a></p></div></div></div><div id="CDR0000062855__2235"><h5>Risk-reducing surgery</h5><div id="CDR0000062855__2236"><h5>RRSO</h5><p id="CDR0000062855__2237">Numerous studies have found that women with an inherited risk of breast and ovarian cancer have a decreased risk of ovarian cancer after RRSO. A retrospective study of 551 women with disease-associated <i>BRCA1</i> or <i>BRCA2</i> mutations found a significant reduction in risk of breast cancer (HR, 0.47; 95% CI, 0.29–0.77) and ovarian cancer (HR, 0.04; 95% CI, 0.01–0.16) after bilateral oophorectomy.[<a class="bk_pop" href="#CDR0000062855_rl_575_75">75</a>] A prospective, single-institution study of 170 women with <i>BRCA1</i> or <i>BRCA2</i> mutations showed a similar trend.[<a class="bk_pop" href="#CDR0000062855_rl_575_76">76</a>] With oophorectomy, the HR was 0.15 (95% CI, 0.02–1.31) for ovarian, fallopian tube, or primary peritoneal cancer, and 0.32 (95% CI, 0.08–1.2) for breast cancer; the HR for either cancer was 0.25 (95% CI, 0.08–0.74). A prospective multicenter study of 1,079 women who were followed up for a median of 30 to 35 months found that RRSO is highly effective in reducing ovarian cancer risk in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers. This study also showed that RRSO was associated with reductions in breast cancer risk in both <i>BRCA1</i> and <i>BRCA2</i> mutation carriers; however, the breast cancer risk reduction was more pronounced in <i>BRCA2</i> carriers (HR, 0.28; 95% CI, 0.08–0.92).[<a class="bk_pop" href="#CDR0000062855_rl_575_6">6</a>] In a case-control study in Israel, bilateral oophorectomy was associated with reduced ovarian/peritoneal cancer risks (OR, 0.12; 95% CI, 0.06–0.24).[<a class="bk_pop" href="#CDR0000062855_rl_575_155">155</a>] A meta-analysis of all reports of RRSO and breast and ovarian/fallopian tube cancer in <i>BRCA1/BRCA2</i> mutation carriers confirmed that RRSO was associated with a significant reduction in risk of ovarian or fallopian tube cancer (HR, 0.21; 95% CI, 0.12–0.39). The study also found a significant reduction in risk of breast cancer (overall: HR, 0.49; 95% CI, 0.37–0.65; <i>BRCA1</i>: HR, 0.47; 95% CI, 0.35–0.64; <i>BRCA2</i>: HR, 0.47; 95% CI, 0.26–0.84).[<a class="bk_pop" href="#CDR0000062855_rl_575_77">77</a>] Subsequently, a matched case-control study of 2,854 pairs of women with a <i>BRCA1</i> or <i>BRCA2</i> mutation with or without breast cancer showed a greater breast cancer risk reduction with surgical menopause (OR, 0.52; 95% CI, 0.40–0.66) than with natural menopause (OR, 0.81; 95% CI, 0.62–1.07). This study also reported a highly significant reduction in breast cancer risk among women who had an oophorectomy after natural menopause (OR, 0.13; 95% CI, 0.02–0.54; <i>P</i> = .006).[<a class="bk_pop" href="#CDR0000062855_rl_575_156">156</a>] Another study of 5,783 women with <i>BRCA1</i> or <i>BRCA2</i> mutations who were followed up for an average of 5.6 years reported that 68 of 186 women who developed either ovarian, fallopian, or peritoneal cancer had died. The HR for these cancers with bilateral oophorectomy was 0.20 (95% CI, 0.13–0.30; <i>P</i> = .001). In <i>BRCA</i> mutation carriers without a history of cancer, the HR for all-cause mortality to age 70 years associated with oophorectomy was 0.23 (95% CI, 0.13–0.39; <i>P</i> < .001).[<a class="bk_pop" href="#CDR0000062855_rl_575_7">7</a>] Among studies with 50 or more subjects, prevalence ranged from 2.3% to 11%. Some of the variation in prevalence is likely due to differences in surgical technique, pathologic handling of the tissues, and age at RRSO. In the GOG 199 study of 966 high-risk women, the incidence of occult cancer was highest among <i>BRCA1</i> mutation carriers (4.6%), followed by <i>BRCA2</i> mutation carriers (3.5%), versus only 0.5% of noncarriers. The odds of an occult pathologic finding was fourfold higher among postmenopausal women.[<a class="bk_pop" href="#CDR0000062855_rl_575_157">157</a>]</p><p id="CDR0000062855__2238">In addition to a reduction in risk of ovarian and breast cancer, RRSO may also significantly improve overall survival (OS) and breast and ovarian cancer-specific survival. A prospective cohort study of 666 women with <a href="/books/n/pdqcis/glossary/def-item/glossary_CDR0000046384/" class="def">germline mutations</a> in <i>BRCA1</i> and <i>BRCA2</i> found an HR for overall mortality of 0.24 (95% CI, 0.08–0.71) in women who had RRSO compared with women who did not.[<a class="bk_pop" href="#CDR0000062855_rl_575_158">158</a>] This study provides the first evidence to suggest a survival advantage among women undergoing RRSO.</p><p id="CDR0000062855__2239">Studies on the degree of risk reduction afforded by RRSO have begun to clarify the spectrum of occult cancers discovered at the time of surgery. Primary fallopian tube cancers, primary peritoneal cancers, and occult ovarian cancers have all been reported. Several case series have reported a prevalence of malignant findings among mutation carriers undergoing risk-reducing oophorectomy. Among studies with 50 or more subjects, prevalence ranged from 2.3% to 11%.[<a class="bk_pop" href="#CDR0000062855_rl_575_9">9</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_76">76</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_159">159</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_165">165</a>] Some of the variation in prevalence probably results from differences in surgical technique, pathologic handling of the tissues, and age at RRSO. In the GOG 199 study of 966 high-risk women, the incidence of occult cancer was highest in <i>BRCA1</i> mutation carriers (4.6%), followed by <i>BRCA2</i> mutation carriers (3.5%), versus only 0.5% of noncarriers. The odds of an occult pathologic finding was fourfold higher among postmenopausal women.[<a class="bk_pop" href="#CDR0000062855_rl_575_157">157</a>]</p><p id="CDR0000062855__2835">In addition to occult cancers, premalignant lesions have also been described in fallopian tube tissue removed for prophylaxis. In one series of 12 women with <i>BRCA1</i> mutations undergoing risk-reducing surgery, 11 had hyperplastic or dysplastic lesions identified in the tubal epithelium. In several of the cases the lesions were multifocal.[<a class="bk_pop" href="#CDR0000062855_rl_575_166">166</a>] These pathologic findings are consistent with the identification of germline <i>BRCA1</i> and <i>BRCA2</i> mutations in women affected with both tubal and primary peritoneal cancers.[<a class="bk_pop" href="#CDR0000062855_rl_575_163">163</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_167">167</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_172">172</a>] One study suggests a causal relationship between early tubal carcinoma, or tubal intraepithelial carcinoma, and subsequent invasive serous carcinoma of the fallopian tube, ovary, or peritoneum.[<a class="bk_pop" href="#CDR0000062855_rl_575_173">173</a>] (Refer to the <a href="#CDR0000062855__408">Pathology of ovarian cancer</a> section of this summary for more information.)</p><p id="CDR0000062855__2240">These findings support the inclusion of fallopian tube cancers, which account for less than 1% of all gynecologic cancers in the general population, as a component of hereditary ovarian cancer syndrome and necessitate removal of the fallopian tubes at the time of risk-reducing surgery. There is clear evidence that RRSO must include routine collection of peritoneal washings and careful adherence to comprehensive
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pathologic evaluation of the entire adnexa with the use of serial sectioning.[<a class="bk_pop" href="#CDR0000062855_rl_575_165">165</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_174">174</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_175">175</a>] </p><p id="CDR0000062855__2241">The
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peritoneum, however, appears to remain at low risk for the development of a
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Müllerian-type adenocarcinoma, even after oophorectomy.[<a class="bk_pop" href="#CDR0000062855_rl_575_176">176</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_180">180</a>] Of the 324
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women from the Gilda Radner Familial Ovarian Cancer Registry who underwent
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risk-reducing oophorectomy, 6 (1.8%) subsequently developed primary peritoneal
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carcinoma. No period of follow-up was specified.[<a class="bk_pop" href="#CDR0000062855_rl_575_181">181</a>] Among 238 individuals in the Creighton Registry with <i>BRCA1/BRCA2</i> mutations who underwent risk-reducing oophorectomy, 5 subsequently developed intra-abdominal carcinomatosis (2.1%). Of note, all five of these women had <i>BRCA1</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_575_182">182</a>] A study of 1,828 women with a <i>BRCA1</i> or <i>BRCA2</i> mutation found a 4.3% risk of primary peritoneal cancer at 20 years after RRSO.[<a class="bk_pop" href="#CDR0000062855_rl_575_183">183</a>]</p><p id="CDR0000062855__2242">Given the current limitations of screening for ovarian cancer and the high risk of the disease in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers, <a href="http://www.nccn.org/professionals/physician_gls/PDF/genetics_screening.pdf" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">NCCN Guidelines</a> recommend RRSO between the ages of 35 and 40 years or upon completion of childbearing, as an effective risk-reduction option. Optimal timing of RRSO must be individualized, but evaluating a woman's risk of ovarian cancer based on mutation status can be helpful in the decision-making process. In a large study of U.S. <i>BRCA1</i> and <i>BRCA2</i> families, age-specific cumulative risk of ovarian cancer at age 40 years was 4.7% for <i>BRCA1</i> mutation carriers and 1.9% for <i>BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_184">184</a>] In a combined analysis of 22 studies of <i>BRCA1</i> and <i>BRCA2</i> mutation carriers, risk of ovarian cancer for <i>BRCA1</i> mutation carriers increased most sharply from age 40 years to age 50 years, while the risk for <i>BRCA2</i> mutation carriers was low before age 50 years but increased sharply from age 50 years to age 60 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_185">185</a>] In a population-based study of <i>BRCA</i> mutations in ovarian cancer patients, patients with <i>BRCA2</i> mutations had a significantly later age of onset than patients with <i>BRCA1</i> mutations (57.3 years [range, 40–72] vs. 52.6 years [range, 31–78]).[<a class="bk_pop" href="#CDR0000062855_rl_575_186">186</a>] In summary, women with <i>BRCA1</i> mutations may consider RRSO for ovarian cancer risk reduction at a somewhat earlier age than women with <i>BRCA2</i> mutations; however, women with <i>BRCA2</i> mutations may still consider early RRSO for breast cancer risk reduction.</p><p id="CDR0000062855__2688">The role of concomitant hysterectomy at the time of RRSO in <i>BRCA1/2</i> mutation carriers is controversial. There is concern that a small portion of the proximal fallopian tube remains when hysterectomy is not performed, thereby resulting in a residual increased risk of fallopian tube cancer. However, several studies that have examined fallopian tube cancers indicate that the vast majority of these cancers occur in the distal or midportion of the fallopian tube, suggesting that the occurrence of proximal fallopian tube cancer would be a very unlikely event. Some reports have suggested an increased incidence of uterine carcinoma in mutation carriers,[<a class="bk_pop" href="#CDR0000062855_rl_575_187">187</a>] whereas others have not confirmed an elevated risk of serous uterine cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_188">188</a>] A prospective study of 857 women suggested that any increased incidence of uterine cancer appeared to be among <i>BRCA1</i> mutation carriers who used tamoxifen;[<a class="bk_pop" href="#CDR0000062855_rl_575_189">189</a>] this was confirmed by the same group in a later study of 4,456 <i>BRCA1/2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_190">190</a>] Even with tamoxifen use, the excess risk of endometrial cancer was small, with a 10-year cumulative risk of 2%.[<a class="bk_pop" href="#CDR0000062855_rl_575_190">190</a>] In addition, the use of tamoxifen can now be minimized, given the options of raloxifene (which does not increase the risk of uterine cancer) and aromatase inhibitors for breast cancer prevention in postmenopausal women. Therefore, on the basis of the current understanding of the risk of uterine cancer in <i>BRCA</i> mutation carriers, there is not a singularly compelling reason to consider hysterectomy at the time of RRSO to reduce the risk of uterine cancer. Concomitant hysterectomy does offer the advantage of simplifying the hormone replacement regimen for <i>BRCA</i> mutation carriers who choose to take hormones. After hysterectomy, women can take estrogen alone (which does not increase the risk of breast cancer), without progestins, thereby eliminating the risk of postmenopausal bleeding.</p><p id="CDR0000062855__2347">Studies indicate that removal of the uterus is not necessary as a risk-reducing procedure. No increased <i>BRCA</i> mutation prevalence was seen among 200 Jewish women with endometrial carcinoma or 56 unselected women with uterine papillary serous carcinoma.[<a class="bk_pop" href="#CDR0000062855_rl_575_188">188</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_191">191</a>] However, small studies have reported that uterine papillary serous carcinoma may be part of the <i>BRCA</i>-associated spectrum of disease.[<a class="bk_pop" href="#CDR0000062855_rl_575_187">187</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_192">192</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_193">193</a>] The cumulative risk of endometrial cancer among <i>BRCA</i> mutation carriers with ER-positive breast cancer treated with tamoxifen may be an additional factor to consider when counseling this population about prophylactic hysterectomy.[<a class="bk_pop" href="#CDR0000062855_rl_575_189">189</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_194">194</a>] Hysterectomy might also be considered in young, unaffected <i>BRCA</i> mutation carriers who may want to use HRT but for whom hysterectomy would offer a simplified regimen of estrogen alone. In counseling a <i>BRCA</i> mutation carrier about optimal risk-reducing surgical options, aggregate data suggest that the risk from residual tubal tissue after RRSO is the least compelling reason to suggest hysterectomy. Therefore, in the absence of tamoxifen use or other underlying uterine or cervical problems, hysterectomy is not a routine component of RRSO for <i>BRCA</i> carriers.</p><p id="CDR0000062855__2243">For women who are premenopausal at the time of surgery, the symptoms of surgical menopause (e.g., hot flashes, mood swings, weight gain, and genitourinary complaints) can cause a significant impairment in their quality of life. To reduce the impact of these symptoms, providers have
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often prescribed a time-limited course of systemic HRT after surgery. (Refer to the <a href="#CDR0000062855__2183">Hormone replacement therapy in BRCA1/BRCA2 mutation carriers</a> section of this summary for more information.)</p><p id="CDR0000062855__2244">Studies have examined the effect of RRSO on quality of life (QOL). One study examined 846 high-risk women of whom 44% underwent RRSO and 56% had periodic screening.[<a class="bk_pop" href="#CDR0000062855_rl_575_195">195</a>] Of the 368 <i>BRCA1/BRCA2</i> mutation carriers, 72% underwent RRSO. No significant differences were observed in QOL scores (as assessed by the Short Form-36) between those with RRSO or screening or compared with the
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general population; however, women with RRSO had fewer breast and ovarian cancer worries (<i>P</i> < .001) and more favorable cancer risk perception (<i>P</i> < .05) but more endocrine symptoms (<i>P</i> < .001) and worse sexual functioning (<i>P</i> < .05). Of note, 37% of women used HRT after RRSO, although 62% were either perimenopausal or postmenopausal.[<a class="bk_pop" href="#CDR0000062855_rl_575_195">195</a>] Researchers then examined 450 premenopausal high-risk women who had chosen either RRSO (36%) or screening (64%). Of those in the RRSO group, 47% used HRT. HRT users (n = 77) had fewer vasomotor symptoms than did nonusers (n = 87;
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<i>P</i> < .05), but they had more vasomotor symptoms than did women in the screening group (n = 286). Likewise, women who underwent RRSO and used HRT had more sexual discomfort due to vaginal dryness and dyspareunia than did those in the screening group (<i>P</i> < .01). Therefore, while such symptoms are improved via HRT use, HRT is not completely effective, and additional research is warranted to address these important issues.</p><p id="CDR0000062855__2245">The long-term nononcologic effects of RRSO in <i>BRCA1/BRCA2</i> mutation carriers are unknown. In the general population, RRSO has been associated with increased cardiovascular disease, dementia, death from lung cancer, and overall mortality.[<a class="bk_pop" href="#CDR0000062855_rl_575_196">196</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_200">200</a>] When age at oophorectomy has been analyzed, the most detrimental effect has been seen in women who undergo RRSO before age 45 years and do not take estrogen replacement therapy.[<a class="bk_pop" href="#CDR0000062855_rl_575_196">196</a>] <i>BRCA1/BRCA2</i> mutation carriers undergoing RRSO may have an increased risk of metabolic syndrome.[<a class="bk_pop" href="#CDR0000062855_rl_575_201">201</a>] RRSO has also been associated with
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an improvement
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in short-term mortality in this population.[<a class="bk_pop" href="#CDR0000062855_rl_575_158">158</a>] The benefits related to cancer risk reduction after RRSO are clear, but further data on the long-term nononcologic risks and benefits are needed. </p></div><div id="CDR0000062855__2467"><h5>Bilateral salpingectomy</h5><p id="CDR0000062855__2468">Bilateral salpingectomy has been suggested as an interim procedure to reduce risk in <i>BRCA</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_202">202</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_203">203</a>] There are no data available on the efficacy of salpingectomy as a risk-reducing procedure. The procedure preserves ovarian function and spares the premenopausal patient the adverse effects of a premature menopause. The procedure can be performed using a minimally invasive approach, and a subsequent bilateral oophorectomy could be deferred until the patient approaches menopause. While the data make a compelling argument that some pelvic serous cancers in <i>BRCA</i> mutation carriers originate in the fallopian tube, some cancers clearly arise in the ovary. Furthermore, bilateral salpingectomy could give patients a false sense of security that they have eliminated their cancer risk as completely as if they had undergone a bilateral salpingo-oophorectomy. A small study of 14 young <i>BRCA</i> mutation carriers documented the procedure as feasible.[<a class="bk_pop" href="#CDR0000062855_rl_575_204">204</a>] However, efficacy and impact on ovarian function was not assessed in this study. Future prospective trials are needed to establish the validity of the procedure as a risk-reducing intervention.</p></div></div><div id="CDR0000062855__2246"><h5>Chemoprevention</h5><div id="CDR0000062855__2247"><h5>Oral contraceptives</h5><p id="CDR0000062855__2248">OCs have been shown to have a protective effect against ovarian cancer in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_575_205">205</a>] Several studies, including a large, multicenter, case-control study, showed a protective effect,[<a class="bk_pop" href="#CDR0000062855_rl_575_109">109</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_206">206</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_209">209</a>] while one population-based study from Israel failed to demonstrate a protective effect.[<a class="bk_pop" href="#CDR0000062855_rl_575_210">210</a>]</p><p id="CDR0000062855__2249">There has been great interest in determining whether a similar benefit extends to women who are at increased genetic risk of ovarian cancer. A multicenter study of 799 ovarian cancer patients with <i>BRCA1</i> or <i>BRCA2</i> mutations, and 2,424 control patients without ovarian cancer but with a <i>BRCA1</i> or <i>BRCA2</i> mutation, showed a significant reduction in ovarian cancer risk with use of OCs (OR, 0.56; 95% CI, 0.45–0.71). Compared with never-use of OCs, duration up to 1 year was associated with an OR of 0.67 (95% CI, 0.50–0.89). The OR for each year of OC use was 0.95 (95% CI, 0.92–0.97), with a maximum observed protection at 3 years to 5 years of use.[<a class="bk_pop" href="#CDR0000062855_rl_575_209">209</a>] This study included women from a prior study by the same authors and confirmed the results of that prior study.[<a class="bk_pop" href="#CDR0000062855_rl_575_109">109</a>] A population-based case-control study of ovarian cancer did not find a protective benefit of OC use in <i>BRCA1</i> or <i>BRCA2</i> mutation carriers (OR, 1.07 for ≥5 years of use), although they were protective, as expected, among noncarriers (OR, 0.53 for ≥5 years of use).[<a class="bk_pop" href="#CDR0000062855_rl_575_210">210</a>] A small, population-based, case-control study of 36 <i>BRCA1</i> mutation carriers, however, observed a similar protective effect in both mutation carriers and noncarriers (OR, approximately 0.5).[<a class="bk_pop" href="#CDR0000062855_rl_575_208">208</a>] A multicenter study of subjects drawn from numerous registries observed a protective effect of OCs among the 147 <i>BRCA1</i> or <i>BRCA2</i> mutation carriers, with ovarian cancer compared with the 304 matched mutation carriers without cancer (OR, 0.62 for ≥6 years of use).[<a class="bk_pop" href="#CDR0000062855_rl_575_207">207</a>] Finally, a meta-analysis of 18 studies that included 13,627 <i>BRCA</i> mutation carriers, 2,855 of whom had breast cancer and 1,503 of whom had ovarian cancer, reported a significantly reduced risk of ovarian cancer (summary RR, 0.50; 95% CI, 0.33–0.75) associated with OC use. The authors also reported significantly greater risk reductions with longer duration of OC use (36% reduction in risk for each additional 10 years of OC use). There was no association with breast cancer risk and use of OC pills formulated after 1975.[<a class="bk_pop" href="#CDR0000062855_rl_575_105">105</a>]</p><p id="CDR0000062855__2250"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531815/" class="def">Level of evidence: 3aii</a></p><p id="CDR0000062855__2251">(Refer to the <a href="#CDR0000062855__2174">Oral contraceptives</a> section in the <a href="#CDR0000062855__2167">Reproductive factors</a> section of this summary for a discussion of OC use and breast cancer in this population.)</p></div></div><div id="CDR0000062855__2252"><h5>Reproductive factors</h5><p id="CDR0000062855__2253">It has been suggested that incessant ovulation, with repetitive trauma and
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repair to the ovarian epithelium, increases the risk of ovarian cancer. In
|
||
epidemiologic studies in the general population, physiologic states that
|
||
prevent ovulation have been associated with decreased risk of ovarian cancer.
|
||
It has also been suggested that chronic overstimulation of the ovaries by
|
||
luteinizing hormone plays a role in ovarian cancer pathogenesis.[<a class="bk_pop" href="#CDR0000062855_rl_575_211">211</a>]
|
||
Most of these data derive from studies in the general population, but some
|
||
information suggests the same is true in women at high risk due to genetic
|
||
predisposition.
|
||
</p><div id="CDR0000062855__2254"><h5>Pregnancy</h5><p id="CDR0000062855__2255">Among the general population, parity decreases the risk of ovarian cancer by
|
||
45% compared with nulliparity. Subsequent pregnancies appear to decrease ovarian cancer risk by 15%.[<a class="bk_pop" href="#CDR0000062855_rl_575_212">212</a>] Earlier studies of women with <i>BRCA1/BRCA2</i> mutations showed that parity decreases the risk of ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_210">210</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_213">213</a>] In a large case-control study, parity was associated with a significant reduction in ovarian cancer risk in women with <i>BRCA1</i> mutations, OR 0.67 (CI, 0.46–0.96).[<a class="bk_pop" href="#CDR0000062855_rl_575_209">209</a>] For each birth, <i>BRCA1</i> mutation carriers had an OR of 0.87 (CI, 0.79–0.95). In this same study, parity was associated with an increase in ovarian cancer risk in <i>BRCA2</i> mutation carriers; however, there was no significant trend for each birth, OR 1.08 (CI, 0.90–1.29). Further studies are necessary to define the association of parity and risk of ovarian cancer in <i>BRCA2</i> mutation carriers, but for <i>BRCA1</i> carriers, each live birth significantly decreases risk of ovarian cancer, as it does in <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339347/" class="def">sporadic</a> ovarian cancer.</p></div><div id="CDR0000062855__2256"><h5>Lactation and tubal ligation</h5><p id="CDR0000062855__2257">In the general population, breastfeeding is associated with a decrease in ovarian cancer risk.[<a class="bk_pop" href="#CDR0000062855_rl_575_214">214</a>] In <i>BRCA</i> mutation carriers, data are limited. One study found no protective effect with breastfeeding.[<a class="bk_pop" href="#CDR0000062855_rl_575_213">213</a>] A
|
||
case-control study among women with <i>BRCA1</i> or <i>BRCA2</i> mutations demonstrates a
|
||
significant reduction in risk of ovarian cancer (OR, 0.39) for women who have
|
||
had a tubal ligation. This protective effect was confined to those women with
|
||
mutations in <i>BRCA1</i> and persists after controlling for OC use, parity, history of breast cancer, and ethnicity.[<a class="bk_pop" href="#CDR0000062855_rl_575_206">206</a>] A case-control study of ovarian cancer in Israel found a 40% to 50% reduced risk of ovarian cancer among women undergoing gynecologic surgeries (tubal ligation, hysterectomy, unilateral oophorectomy, ovarian cystectomy, excluding bilateral oophorectomy).[<a class="bk_pop" href="#CDR0000062855_rl_575_155">155</a>] The mechanism of protection is uncertain. Proposed mechanisms of action include decreased blood flow to the ovary, resulting in interruption of ovulation and/or ovarian hormone production; occlusion of the fallopian tube, thus blocking a pathway for potential carcinogens; or a reduction in the concentration of uterine growth factors that reach the ovary.[<a class="bk_pop" href="#CDR0000062855_rl_575_215">215</a>] (Refer to the PDQ
|
||
summary on <a href="/books/n/pdqcis/CDR0000062771/">Ovarian, Fallopian Tube, and Primary Peritoneal Cancer Prevention</a> for information relevant to the general
|
||
population.)
|
||
</p></div><div id="CDR0000062855__2048"><h5>Oral contraceptives</h5><p id="CDR0000062855__2049">Refer to the <a href="#CDR0000062855__2247">Oral contraceptives</a> section in the <a href="#CDR0000062855__2246">Chemoprevention</a> section of this summary for more information.</p></div></div></div></div><div id="CDR0000062855__2030"><h3>Management of Male <i>BRCA</i> Mutation Carriers</h3><p id="CDR0000062855__2031">There are data to suggest that men with <i>BRCA</i> gene mutations have an increased risk of various cancers including male breast cancer and prostate cancer (see <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2316/?report=objectonly" target="object" rid-figpopup="figCDR00000628552316" rid-ob="figobCDR00000628552316">Table 4</a>).[<a class="bk_pop" href="#CDR0000062855_rl_575_186">186</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_216">216</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_220">220</a>] However, clinical guidelines to manage male carriers with <i>BRCA</i> mutations are based on consensus statements and expert opinions because information is limited.[<a class="bk_pop" href="#CDR0000062855_rl_575_32">32</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_221">221</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_222">222</a>]</p><p id="CDR0000062855__2050">There have been suggestions that <i>BRCA2</i>-associated prostate cancers are associated with aggressive disease phenotype.[<a class="bk_pop" href="#CDR0000062855_rl_575_223">223</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_228">228</a>] Specifically, two recent studies have reported the median survival of male <i>BRCA2</i> carriers with prostate cancer in the range of 4 to 5 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_226">226</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_227">227</a>] Furthermore, mortality rate was reported as 60% at 5 years in one of these studies, compared with 2% to 8% reported in the recent European [<a class="bk_pop" href="#CDR0000062855_rl_575_229">229</a>] and North American [<a class="bk_pop" href="#CDR0000062855_rl_575_230">230</a>] prostate-specific antigen (PSA) screening trials after comparable follow-up. The data have been more limited in <i>BRCA1</i>-associated prostate cancers, however a number of recent studies have suggested an aggressive disease phenotype as well.[<a class="bk_pop" href="#CDR0000062855_rl_575_223">223</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_225">225</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_228">228</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_231">231</a>]</p><p id="CDR0000062855__2051">The benefits of PSA screening in <i>BRCA</i> carriers are unknown; however, there have been suggestions (based on very small studies) that PSA levels at prostate cancer diagnosis may be higher in carriers than noncarriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_232">232</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_233">233</a>] These findings suggest that PSA screening may be of potential utility in men with <i>BRCA</i> mutations, especially in view of the aggressive phenotype. Preliminary results of the IMPACT PSA screening study reported a PPV of 47.6% in 21 <i>BRCA2</i> carriers undergoing biopsy on the basis of elevated PSA.[<a class="bk_pop" href="#CDR0000062855_rl_575_234">234</a>] Because screening these men detected clinically significant prostate cancer, the authors suggest that these findings provide rationale for continued screening in such men; however, a survival benefit from such screening has not been shown. Ultimately, it is possible that information on <i>BRCA</i> mutation status in men may inform optimal screening and treatment strategies. Furthermore, recent data that the presence of a germline <i>BRCA2</i> mutation is an independent prognostic factor for survival in prostate cancer led these authors to conclude that active surveillance may not be the optimal management strategy due to the aggressive disease phenotype.[<a class="bk_pop" href="#CDR0000062855_rl_575_227">227</a>]</p><p id="CDR0000062855__2052">Screening for male breast cancer in <i>BRCA</i> mutation carriers as suggested by the NCCN clinical practice guidelines [<a class="bk_pop" href="#CDR0000062855_rl_575_32">32</a>] includes breast self-exam training and education and clinical breast exam every 12 months starting at age 35 years. Furthermore, beginning at age 40 years, NCCN recommends prostate cancer screening for <i>BRCA2</i> carriers and the consideration of prostate cancer screening for <i>BRCA1</i> carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_32">32</a>]</p></div><div id="CDR0000062855__2258"><h3>Reproductive Considerations in <i>BRCA</i> Mutation Carriers</h3><p id="CDR0000062855__2259">Refer to the <a href="#CDR0000062855__975">Prenatal diagnosis and preimplantation genetic diagnosis</a> section in the <a href="#CDR0000062855__271">Psychosocial Issues in Inherited Breast and Ovarian Cancer Syndromes</a> section of this summary for more information.</p></div><div id="CDR0000062855__2055"><h3>Treatment Strategies</h3><div id="CDR0000062855__2056"><h4>Breast cancer</h4><div id="CDR0000062855__2057"><h5>Prognosis of <i>BRCA1-</i> and <i>BRCA2</i>-related breast cancer</h5><div id="CDR0000062855__2058"><h5><i>BRCA1</i>-related breast cancer</h5><p id="CDR0000062855__2059">The distinct features of <i>BRCA1</i>-associated breast tumors are important in prognosis. In addition, there appears to be accelerated growth in <i>BRCA1</i>-associated breast cancer, which is suggested by high-proliferation indices and absence of the expected correlation of tumor size with lymph node status.[<a class="bk_pop" href="#CDR0000062855_rl_575_235">235</a>] These pathological features are associated with a worse prognosis in breast cancer, and early studies suggested that <i>BRCA1</i> mutation carriers with breast cancer may have a poorer prognosis compared with sporadic cases.[<a class="bk_pop" href="#CDR0000062855_rl_575_236">236</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_238">238</a>] These studies particularly noted an increase in ipsilateral and contralateral second primary breast cancers in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_239">239</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_241">241</a>] (Refer to the <a href="#CDR0000062855__2071">Contralateral breast cancer in BRCA mutation carriers</a> section of this summary for more information.) A retrospective cohort study of 496 AJ breast cancer patients from two centers compared the relative survival among 56 <i>BRCA1/BRCA2</i> mutation carriers followed up for a median of 116 months. <i>BRCA1</i> mutations were independently associated with worse disease-specific survival. The poorer prognosis was not observed in women who received chemotherapy.[<a class="bk_pop" href="#CDR0000062855_rl_575_242">242</a>] A large population-based study of incident cases of breast cancer among women in Israel failed to find a difference in OS for carriers of <i>BRCA1</i> founder mutations (n = 76) compared with noncarriers (n = 1,189).[<a class="bk_pop" href="#CDR0000062855_rl_575_243">243</a>] Similar findings were seen in a European cohort with no differences in disease-free survival in <i>BRCA1</i>-associated breast cancers.[<a class="bk_pop" href="#CDR0000062855_rl_575_244">244</a>] Subsequently, a prospective cohort study of 3,220 women from North America and Australia with incident breast cancer (including 93 <i>BRCA1</i> carriers and 71 <i>BRCA2</i> carriers) who were followed up for a mean of 7.9 years reported similar outcomes among <i>BRCA1/2</i> carriers and those with sporadic disease.[<a class="bk_pop" href="#CDR0000062855_rl_575_245">245</a>] However, results were based on chemotherapy regimens used in the late 1990s and did not adjust for surgical approach (lumpectomy vs. mastectomy) and effect of oophorectomy.
|
||
</p><p id="CDR0000062855__2450">A group of researchers reported the results of <i>BRCA1/2</i> testing in 77 unselected patients with triple-negative breast cancer. Of these, 15 (19.5%) had either a germline <i>BRCA1</i> (n = 11; 14%) or <i>BRCA2</i> (n = 3; 4%) mutation or a somatic <i>BRCA1</i> (n = 1) mutation. The median age at cancer diagnosis was 45 years in <i>BRCA1</i> mutation carriers and 53 years in noncarriers (<i>P</i> = .005). Interestingly, this study also demonstrated a lower risk of relapse in those with <i>BRCA1</i> mutation–associated triple-negative breast cancer than in nonmutated triple-negative breast cancer, although this study was limited by its size.[<a class="bk_pop" href="#CDR0000062855_rl_575_246">246</a>] A second study examining clinical outcome in <i>BRCA1</i>-associated versus non–<i>BRCA1</i>-associated triple-negative breast cancer showed no difference, although there was a trend toward more brain metastases in those with <i>BRCA1</i>-associated breast cancer. In both of these studies, all but one <i>BRCA1</i> mutation carrier received chemotherapy.[<a class="bk_pop" href="#CDR0000062855_rl_575_247">247</a>]</p><p id="CDR0000062855__2663">A Polish study of 3,345 patients younger than 50 years with stages I through III breast cancer studied the impact of a <i>BRCA1</i> mutation on prognosis. In this cohort, 233 patients (7%) carried one of three Polish <i>BRCA1</i> founder mutations (5382insC, C61G, or 4154delA). <i>BRCA1</i> carriers were younger and more frequently ER-negative and HER2/neu-negative. Ten-year survival was similar (80.9% in <i>BRCA1</i> carriers and 82.2% in noncarriers). Oophorectomy was associated with improved survival in <i>BRCA1</i> carriers (HR, 0.30; 95% CI 0.12–0.75).[<a class="bk_pop" href="#CDR0000062855_rl_575_248">248</a>]</p><p id="CDR0000062855__2083">In summary, <i>BRCA1</i>-associated tumors appear to have a prognosis similar to sporadic tumors despite having clinical, histopathologic, and molecular features that indicate a more aggressive phenotype. <i>BRCA1</i> mutation carriers who do not receive chemotherapy may have a worse prognosis. However, because most <i>BRCA1</i>-associated breast cancers are triple negative, they are usually treated with adjuvant chemotherapy. Work is ongoing to determine whether <i>BRCA1</i>-associated breast cancers should receive different therapy than do sporadic tumors. (Refer to the <a href="#CDR0000062855__2064">Role of BRCA1 and BRCA2 in response to systemic therapy</a> section of this summary for more information.)</p></div><div id="CDR0000062855__2061"><h5><i>BRCA2</i>-related breast cancer</h5><p id="CDR0000062855__2062">Early studies of the prognosis of <i>BRCA2</i>-associated breast cancer have not shown substantial differences in comparison with sporadic breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_243">243</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_249">249</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_251">251</a>] A small study reported statistically significant higher OS in <i>BRCA2</i> mutation carriers with metastatic breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_244">244</a>]</p></div></div><div id="CDR0000062855__2063"><h5>Systemic therapy</h5><div id="CDR0000062855__2064"><h5>Role of <i>BRCA1</i> and <i>BRCA2</i> in response to systemic therapy</h5><p id="CDR0000062855__2065">A growing body of preclinical and clinical literature suggests a differential response of <i>BRCA</i>-related breast cancers to systemic chemotherapy. This is based on the emerging understanding of the functions of these genes in response to DNA damage and mitotic spindle machinery control. As several chemotherapeutic agents target either DNA or mitotic spindle structural integrity, the lack of <i>BRCA</i> functions could alter response to these agents. Intact <i>BRCA1</i> and <i>BRCA2</i> are important in DNA repair by homologous recombination. Preclinical studies of <i>BRCA1</i>- and <i>BRCA2</i>-deficient cell lines have suggested increased sensitivity to drugs that cause DNA damage that is repaired by homologous recombination, such as cisplatin, carboplatin and mitomycin C.[<a class="bk_pop" href="#CDR0000062855_rl_575_252">252</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_253">253</a>] Conversely, intact <i>BRCA1</i> may be important for spindle poisons, such as taxanes, to be effective.[<a class="bk_pop" href="#CDR0000062855_rl_575_254">254</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_255">255</a>] Preclinical models suggest decreased sensitivity to these drugs in mutated cell lines.[<a class="bk_pop" href="#CDR0000062855_rl_575_256">256</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_257">257</a>]</p><p id="CDR0000062855__2084">Evidence of the role of <i>BRCA1/BRCA2</i> mutations in humans is evolving. A number of small studies have suggested increased clinical response rates, particularly in <i>BRCA1</i> mutation carriers, but design limitations make it difficult to use these studies to guide clinical recommendations. </p><p id="CDR0000062855__2085">Retrospective and prospective studies [<a class="bk_pop" href="#CDR0000062855_rl_575_258">258</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_262">262</a>] have suggested a higher-than-expected response rate to chemotherapy in <i>BRCA1</i> mutation carriers receiving neoadjuvant chemotherapy for breast cancer, especially when using cisplatin.[<a class="bk_pop" href="#CDR0000062855_rl_575_260">260</a>] Several studies regarding the Polish experience on the use of preoperative chemotherapy in <i>BRCA1</i> mutation carriers have been published. The largest report [<a class="bk_pop" href="#CDR0000062855_rl_575_260">260</a>] includes data on 102 <i>BRCA1</i> mutation carriers of which 51 were described in two prior studies.[<a class="bk_pop" href="#CDR0000062855_rl_575_263">263</a> ,<a class="bk_pop" href="#CDR0000062855_rl_575_258">258</a>] Women were identified from a registry of 6,903 patients. Those with a Polish founder mutation in <i>BRCA1</i> (5382insC, C61G, or 4153delA) who had also received preoperative chemotherapy were included. Of these 102 women, 22% had a pathologic complete response (pCR). Twelve women received cisplatin chemotherapy as part of a clinical trial, ten of whom had a pCR (83%). All other patients were examined retrospectively. Of these, 14 received cyclophosphamide, methotrexate, and fluorouracil with one pCR (7%), 25 received doxorubicin and docetaxel with two pCRs (8%), and 51 received doxorubicin and cyclophosphamide with 11 pCRs (22%). To place this in the context of other available data, several retrospective studies in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers typically treated with anthracycline-based chemotherapy have demonstrated clinical complete response rates of 46% to 90% after preoperative chemotherapy,[<a class="bk_pop" href="#CDR0000062855_rl_575_259">259</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_261">261</a>] particularly in <i>BRCA1</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_262">262</a>] A trial of preoperative cisplatin in <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000639916/" class="def">triple-negative breast cancer</a> patients demonstrated a pCR of 22%; however, both <i>BRCA1</i> mutation carriers in the study had a pCR.[<a class="bk_pop" href="#CDR0000062855_rl_575_264">264</a>]</p><p id="CDR0000062855__2664">A small study reported a statistically significant higher sensitivity to first-line treatment in <i>BRCA2</i> mutation carriers with metastatic breast cancer than in those with sporadic metastatic cancer; conversely, no statistically significant differences were observed for <i>BRCA1</i> carriers with metastatic breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_244">244</a>] No data directly compare different types of chemotherapy in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers. However, in a small study of 20 <i>BRCA1</i> mutation carriers with metastatic breast cancer, there was an overall response rate of 80% to cisplatin therapy.[<a class="bk_pop" href="#CDR0000062855_rl_575_265">265</a>] Further studies are evaluating the role of platinums in <i>BRCA1</i>- and <i>BRCA2</i>-associated metastatic cancer.</p><p id="CDR0000062855__2086">Thus, the preclinical and clinical data suggesting improved chemotherapy response rates in <i>BRCA1</i>-associated breast cancer are consistent with the emerging understanding of <i>BRCA1</i> function in DNA-damage response and cell-cycle regulation. While these findings raise the possibility that germline status may influence treatment choices, there is insufficient evidence at this time to support treating mutation carriers with different regimens in the adjuvant and neoadjuvant setting.</p><p id="CDR0000062855__2087">Another specific process to exploit in <i>BRCA1/BRCA2</i>-deficient tumors is the poly (ADP-ribose) polymerase (PARP) pathway. Whereas <i>BRCA1</i> and <i>BRCA2</i> are active in the repair of double-stranded DNA breaks by homologous recombination, PARP is involved in the repair of single-stranded breaks by base excision repair. It was hypothesized that inhibiting base excision repair in <i>BRCA1</i>- or <i>BRCA2</i>-deficient cells would lead to enhanced cell death as two separate repair mechanisms would be compromised—the concept of synthetic lethality. <i>In vitro</i> studies have shown that PARP inhibition kills <i>BRCA</i> mutant cells with high specificity.[<a class="bk_pop" href="#CDR0000062855_rl_575_266">266</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_267">267</a>]</p><p id="CDR0000062855__2088">PARP inhibitors quickly entered clinical trials. A phase I study of an oral PARP inhibitor called olaparib has demonstrated tolerability (with minimal side effects) and activity in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers with breast cancer, ovarian cancer, and prostate cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_268">268</a>] Phase II trials in breast cancer have confirmed tolerability and efficacy of olaparib in mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_269">269</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_270">270</a>] Two sequential cohorts of 27 patients, each receiving 400 mg twice daily of olaparib and 100 mg twice daily of olaparib were examined. The women had received a median of three prior chemotherapeutic regimens. Responses were seen in both groups. In the group that received 400 mg twice daily, 41% (11 of 27) of patients had a <a href="http://imaging.cancer.gov/clinicaltrials/imaging/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">RECIST</a>-defined response, and another 44% (12 of 27) had stable disease. In the group that received 100 mg twice daily group, 22% (6 of 27) had responses, and 44% (12 of 27) had stable disease. Although the two dose levels cannot be directly compared because they were not randomized, more responses were seen in the higher-dose cohort. Several other PARP inhibitors are in development. </p><p id="CDR0000062855__2266">Preclinical models suggest that the combination of PARP inhibitors and chemotherapy may be synergistic;[<a class="bk_pop" href="#CDR0000062855_rl_575_271">271</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_272">272</a>] however, such synergy may come at the expense of toxicity. The results of ongoing and recently completed clinical trials are awaited with interest.</p><p id="CDR0000062855__2380">(Refer to the <a href="#CDR0000062855__2080">Systemic therapy</a> section in the <a href="#CDR0000062855__2077">Ovarian cancer</a> section of this summary for more information about treatment strategies for <i>BRCA</i>-associated ovarian cancer.)</p></div></div><div id="CDR0000062855__2066"><h5>Local therapy</h5><div id="CDR0000062855__2068"><h5>Breast conservation therapy for <i>BRCA1/BRCA2</i> mutation carriers</h5><p id="CDR0000062855__2069">While lumpectomy plus radiation therapy has become standard local-regional therapy for women with early-stage breast cancer, its use in women with a hereditary predisposition for breast cancer who do not choose immediate bilateral mastectomy is more complicated. Initial concerns about the potential for therapeutic radiation to induce tumors or cause excess toxicity in <i>BRCA1/BRCA2</i> mutation carriers were unfounded.[<a class="bk_pop" href="#CDR0000062855_rl_575_273">273</a> -<a class="bk_pop" href="#CDR0000062855_rl_575_275">275</a>] Despite this, an increased rate of second primary breast cancer exists, which could impact treatment decisions. </p><p id="CDR0000062855__2303">Because of the established increased risk of second primary breast cancers, which may be up to 60% in younger women with <i>BRCA1</i> mutations,[<a class="bk_pop" href="#CDR0000062855_rl_575_241">241</a>] some <i>BRCA1/BRCA2</i> mutation carriers choose bilateral mastectomy at the time of their initial cancer diagnosis. (Refer to the <a href="#CDR0000062855__2071">Contralateral breast cancer in BRCA mutation carriers</a> section of this summary for more information.) However, several studies support the use of breast conservation therapy as a reasonable option to treat the primary tumor.[<a class="bk_pop" href="#CDR0000062855_rl_575_276">276</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_278">278</a>] The risk of ipsilateral recurrence at 10 years has been estimated to be between 10% to 15% and is similar to that seen in noncarriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_241">241</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_276">276</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_279">279</a>] Studies with longer periods of follow-up demonstrate risks of ipsilateral breast events at 15 years to be as high as 24%, largely resulting from ipsilateral second breast cancers (rather than relapse of the primary tumor).[<a class="bk_pop" href="#CDR0000062855_rl_575_276">276</a> ,<a class="bk_pop" href="#CDR0000062855_rl_575_278">278</a>] Although not entirely consistent across studies, radiation therapy, chemotherapy, oophorectomy, and tamoxifen are associated with a decreased risk of ipsilateral events,[<a class="bk_pop" href="#CDR0000062855_rl_575_276">276</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_279">279</a>] as is the case in sporadic breast cancer. The risk of contralateral breast cancer does not appear to differ in women undergoing breast conservation therapy versus unilateral mastectomy, suggesting no added risk of contralateral breast cancer from scattered radiation.[<a class="bk_pop" href="#CDR0000062855_rl_575_276">276</a>] This finding is supported by a population-based case-control study of women diagnosed with breast cancer before the age of 55 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_280">280</a>] All women were genotyped for <i>BRCA1/2</i>. Although there was a significant fourfold risk of contralateral breast cancer in carriers compared with noncarriers, carriers who were exposed to radiation therapy for the first primary were not at increased risk of contralateral breast cancer compared with carriers who were not exposed. (Refer to the <a href="#CDR0000062855__2132">Mammography</a> section for more information about radiation and breast cancer risk.) Finally, no difference in OS at 15 years has been seen between <i>BRCA1/BRCA2</i> mutation carriers choosing breast conservation therapy and carriers choosing mastectomy.[<a class="bk_pop" href="#CDR0000062855_rl_575_276">276</a>]</p><p id="CDR0000062855__2098"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531835/" class="def">Level of evidence: 3a</a></p></div></div><div id="CDR0000062855__2070"><h5>Second malignancies</h5><div id="CDR0000062855__2071"><h5>Contralateral breast cancer in <i>BRCA</i> mutation carriers</h5><p id="CDR0000062855__2072">As early as 1995, the Breast Cancer Linkage Consortium estimated the risk of contralateral breast cancer (CBC) in <i>BRCA1</i> mutation carriers to be as high as 60% by age 60 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_281">281</a>] This report has been followed by several retrospective studies of various cohorts of women with hereditary patterns of breast cancer in both the United States and Europe. One retrospective cohort study reviewed the records of 91 AJ women diagnosed with breast cancer before the age of 42 years, 30 of whom had a deleterious <i>BRCA1</i> or <i>BRCA2</i> mutation.[<a class="bk_pop" href="#CDR0000062855_rl_575_282">282</a>] At a median follow-up of 63 months, the rate of CBC was 40% in the mutation carriers compared with 8.2% among noncarriers. Carriers had a shorter median interval between cancers than did noncarriers (36 months vs. 63.9 months). The same group reported 5-, 10-, and 15-year probabilities of CBC of 11.9%, 37.6% and 53.2%, respectively, among 87 mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_283">283</a>] Rates of CBC in this clinical cohort did not differ by mutation type (<i>BRCA1</i> vs. <i>BRCA2</i>) or by age at first diagnosis. A case-control study from the Netherlands compared rates of CBC between 49 women with <i>BRCA1</i>-related breast cancer and 196 breast cancer cases not known to have a <i>BRCA1/BRCA2</i> mutation (sporadic controls).[<a class="bk_pop" href="#CDR0000062855_rl_575_236">236</a>] At 5 years of follow-up, rates of CBC were 20.4% among mutation carriers versus 5.6% among the controls. In an expanded cohort of <i>BRCA1</i>-related breast cancer patients, the risk of CBC was inversely correlated with age at first diagnosis, with the majority of cases of CBC occurring among women whose first breast cancer was diagnosed at or before age 50 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_284">284</a>] A similar analysis matching 28 <i>BRCA2</i> mutation–positive cases with 112 sporadic controls found a fivefold increase in CBC among cases (25% vs. 4.5%).[<a class="bk_pop" href="#CDR0000062855_rl_575_285">285</a>] A larger study of members of <i>BRCA1/BRCA2</i> families in the Netherlands reported similar 10-year risks of CBC for women from <i>BRCA1</i> and <i>BRCA2</i> families (34.2% and 29.2%).[<a class="bk_pop" href="#CDR0000062855_rl_575_286">286</a>] In another study, 127 patients with early-onset breast cancer (aged 42 years or younger) who had been treated with breast-conserving therapy were genotyped for mutations in <i>BRCA1</i> and <i>BRCA2</i>. At a median follow-up of 12 years, the rate of CBC among the 22 mutation-positive patients was 42% compared with 9% in the noncarriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_239">239</a>] A similar analysis from the Institut Curie in Paris reported a rate of CBC of 37% among mutation carriers compared with 7.3% in noncarriers at a median follow-up of 8.75 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_287">287</a>]</p><p id="CDR0000062855__2099">In a larger cohort of breast cancer patients (n = 336) from families with documented <i>BRCA1/BRCA2</i> mutations and 9.2 years of follow-up, the rate of CBC was 28.9% at a mean interval of 5.5 years. Prior oophorectomy was associated with a 59% reduction in the risk of CBC.[<a class="bk_pop" href="#CDR0000062855_rl_575_288">288</a>] Another case-control study of mutation carriers and noncarriers identified through ascertainment of women with bilateral breast cancer found that systemic adjuvant chemotherapy reduced CBC risk among mutation carriers (RR, 0.5; 95% CI, 0.2–1.0). Tamoxifen was associated with a nonsignificant risk reduction (RR, 0.7; 95% CI, 0.3–1.8). Similar risk reduction was seen in noncarriers; however, given the higher absolute CBC risk in carriers, there is potentially a greater impact of adjuvant treatment in risk reduction.[<a class="bk_pop" href="#CDR0000062855_rl_575_279">279</a>] A high concordance in ER status and tumor grade was reported among women from a registry of <i>BRCA1/BRCA2</i> carriers who had bilateral breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_289">289</a>] The German Consortium for Hereditary Breast and Ovarian Cancer estimated the risk of CBC in members of <i>BRCA1</i> and <i>BRCA2</i> mutation–positive families. At 25 years after the first breast cancer, the risk of CBC was close to 50% in both <i>BRCA1</i> and <i>BRCA2</i> families. The risk was also inversely correlated with age in this study, with the highest risks seen in women whose first breast cancer was before age 40 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_241">241</a>] A comparison of 655 women with <i>BRCA1/BRCA2</i> mutations undergoing breast-conserving therapy versus those undergoing mastectomy noted that both treatment groups experienced high rates of CBC, exceeding 50% by 20 years of follow-up. Rates were significantly higher among women with <i>BRCA1</i> mutations compared with those with <i>BRCA2</i> mutations, and among women whose first breast cancer occurred at or before age 35 years.[<a class="bk_pop" href="#CDR0000062855_rl_575_276">276</a>] The WECARE study, a large population-based nested case-control study of CBC, reported a 10-year risk of CBC of 15.9% among <i>BRCA1/BRCA2</i> mutation carriers, compared with a risk of 4.9% among noncarriers. Risks were also inversely related to age at first diagnosis in this study.[<a class="bk_pop" href="#CDR0000062855_rl_575_290">290</a>]</p><p id="CDR0000062855__2100">Thus, despite differences in study design, study sites, and sample sizes, the data on CBC among women with <i>BRCA1/BRCA2</i> mutations show several consistent findings: </p><ul id="CDR0000062855__2101"><li class="half_rhythm"><div>The risk at all time points studied is significantly higher than that among sporadic controls.</div></li><li class="half_rhythm"><div>The risk continues to rise with time since first breast cancer, and reaches 20% to 30% at 10 years of follow-up, and 40% to 50% at 20 years in most studies.</div></li><li class="half_rhythm"><div>Some, but not all, studies show an excess of CBC among <i>BRCA1</i> carriers compared with <i>BRCA2</i> carriers.</div></li><li class="half_rhythm"><div>The risk of CBC is greatest among women whose first breast cancer occurs at a young age.</div></li></ul><div id="CDR0000062855__2073"><h5>Chemoprevention</h5><p id="CDR0000062855__2074">Refer to the <a href="#CDR0000062855__2020">Chemoprevention</a> section of this summary for information about the use of tamoxifen as a risk-reduction strategy for CBC in <i>BRCA</i> mutation carriers.</p></div></div></div></div><div id="CDR0000062855__2077"><h4>Ovarian cancer</h4><div id="CDR0000062855__2078"><h5>Prognosis of <i>BRCA1</i>- and <i>BRCA2</i>-related ovarian cancer</h5><p id="CDR0000062855__2079">Despite generally poor prognostic factors, several studies have found an improved survival among ovarian cancer patients with <i>BRCA</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_575_291">291</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_299">299</a>] A nationwide, population-based, case-control study in Israel found 3-year survival rates to be significantly better for ovarian cancer patients with <i>BRCA</i> founder mutations, compared with controls.[<a class="bk_pop" href="#CDR0000062855_rl_575_292">292</a>] Five-year follow-up in the same cohort showed improved survival for carriers of both <i>BRCA1</i> and<i> BRCA2</i> mutations (54 months) versus noncarriers (38 months), which was most pronounced for women with stages III and IV ovarian cancer and for women with high-grade tumors.[<a class="bk_pop" href="#CDR0000062855_rl_575_300">300</a>] In a U.S. study of AJ women with ovarian cancer, those with <i>BRCA</i> mutations had a longer median time to recurrence and an overall improved survival, compared with both AJ women with ovarian cancer who did not have a <i>BRCA</i> mutation and two large groups of advanced-stage ovarian cancer clinical trial patients.[<a class="bk_pop" href="#CDR0000062855_rl_575_296">296</a>] In a retrospective U.S. hospital-based study, Ashkenazi <i>BRCA</i> mutation carriers had a better response to platinum-based chemotherapy, as measured by response to primary therapy, disease-free survival, and OS, compared with sporadic cases.[<a class="bk_pop" href="#CDR0000062855_rl_575_294">294</a>] Similarly, a significant survival advantage was seen in a case-control study among women with non-AJ <i>BRCA</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_575_301">301</a>] A study from the Netherlands also showed a better response to platinum-based primary chemotherapy in 112 <i>BRCA1/2</i> carriers than in 220 sporadic ovarian cancer patients.[<a class="bk_pop" href="#CDR0000062855_rl_575_302">302</a>] A U.S. population-based study showed improvement in OS in <i>BRCA2</i>, but not in <i>BRCA1</i>, carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_303">303</a>] However, the study included only 12 <i>BRCA2</i> mutation carriers and 20 <i>BRCA1</i> mutation carriers. Significantly better OS and progression-free survival were observed in 29 <i>BRCA2</i> mutation–positive high-grade serous ovarian cancer cases (20 germline, 9 somatic) from The Cancer Genome Atlas study compared with <i>BRCA</i> mutation–negative cases. <i>BRCA1</i> mutations were not significantly associated with prognosis.[<a class="bk_pop" href="#CDR0000062855_rl_575_304">304</a>] Furthermore, a pooled analysis of 26 observational studies that included 1,213 <i>BRCA</i> mutation carriers and 2,666 noncarriers with epithelial ovarian cancer showed more favorable survival in mutation carriers (<i>BRCA1</i>: HR, 0.73; 95% CI, 0.64–0.84; <i>P</i> < .001;<i> BRCA2</i>: HR, 0.49; 95% CI, 0.39–0.61; <i>P</i> < .001).[<a class="bk_pop" href="#CDR0000062855_rl_575_305">305</a>] Thus, 5-year survival in both <i>BRCA1</i> and <i>BRCA2</i> carriers with epithelial ovarian cancers was better than that observed in noncarriers, with <i>BRCA2</i> carriers having the best prognosis. A study in Japanese patients found a survival advantage in
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stage III <i>BRCA1</i>-associated ovarian cancers treated with cisplatin regimens compared with
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nonhereditary cancers treated in a similar manner.[<a class="bk_pop" href="#CDR0000062855_rl_575_295">295</a>]</p><p id="CDR0000062855__2102">In contrast, several studies have not found improved OS among ovarian cancer patients with <i>BRCA</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_575_237">237</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_306">306</a>-<a class="bk_pop" href="#CDR0000062855_rl_575_308">308</a>] The largest of these studies involved a large series of unselected Canadian and U.S. patients who were tested for <i>BRCA1</i> and <i>BRCA2</i> mutations. At 3 years, the presence of a mutation was associated with a better prognosis, but at 10 years, there was no longer a difference seen in prognosis.[<a class="bk_pop" href="#CDR0000062855_rl_575_309">309</a>] Furthermore, one study suggested that there was worse survival in ovarian cancer patients with a family history.[<a class="bk_pop" href="#CDR0000062855_rl_575_307">307</a>]</p><p id="CDR0000062855__2103">Compelling data suggest a short-term survival advantage in <i>BRCA</i> mutation carriers. However, long-term outcomes are yet to be established. Survival in AJ ovarian cancer patients with <i>BRCA1</i> or <i>BRCA2</i> founder mutations does seem to be improved;[<a class="bk_pop" href="#CDR0000062855_rl_575_304">304</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_305">305</a>] however, further large studies in other populations with appropriate controls are needed to determine whether this survival advantage applies more broadly to all <i>BRCA</i> cancers.</p></div><div id="CDR0000062855__2080"><h5>Systemic therapy</h5><p id="CDR0000062855__2615">The molecular mechanisms that explain the improved prognosis in hereditary <i>BRCA</i>-associated ovarian cancer are unknown but may be related to the function of <i>BRCA</i> genes. <i>BRCA</i> genes play an important role in cell-cycle checkpoint activation and in the repair of damaged DNA via homologous recombination.[<a class="bk_pop" href="#CDR0000062855_rl_575_310">310</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_311">311</a>] Deficiencies in homologous repair can impair the cells’ ability to repair DNA cross-links that result from certain chemotherapy agents, such as cisplatin. Preclinical data has demonstrated BRCA1 impacts chemosensitivity in breast cancer and ovarian cancer cell lines. Reduced BRCA1 protein expression has been shown to enhance cisplatin chemosensitivity.[<a class="bk_pop" href="#CDR0000062855_rl_575_253">253</a>] Patients with <i>BRCA</i>-associated ovarian cancer have shown improved responses to both first-line and subsequent platinum-based chemotherapy, compared with patients with sporadic cancers, which may contribute to their better outcome.[<a class="bk_pop" href="#CDR0000062855_rl_575_294">294</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_297">297</a>]</p><p id="CDR0000062855__2348">PARP pathway inhibitors are currently being studied for the treatment of <i>BRCA1</i>- or <i>BRCA2</i>-deficient ovarian cancers. (Refer to the <a href="#CDR0000062855__2064">Role of BRCA1 and BRCA2 in response to systemic therapy</a> section in the <a href="#CDR0000062855__2055">Treatment Strategies</a> section of this summary for more information about PARP inhibitors.) While PARP is involved in the repair of single-stranded breaks by base excision repair, <i>BRCA1</i> and <i>BRCA2</i> are active in the repair of double-stranded DNA breaks by homologous combination. Therefore, it was hypothesized that inhibiting base excision repair with PARP inhibition in <i>BRCA1</i>- or <i>BRCA2</i>-deficient tumors leads to enhanced cell death, as two separate repair mechanisms would be compromised—the concept of synthetic lethality. </p><p id="CDR0000062855__2349">A phase I study of olaparib, an oral PARP inhibitor, demonstrated tolerability (with minimal side effects) and activity in <i>BRCA1</i> and <i>BRCA2</i> mutation carriers with ovarian, breast, and prostate cancers.[<a class="bk_pop" href="#CDR0000062855_rl_575_268">268</a>] A phase II trial of two different doses of olaparib demonstrated tolerability and efficacy in recurrent ovarian cancer patients with <i>BRCA1</i> or <i>BRCA2</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_575_270">270</a>] The overall response rate was 33% (11 of 33 patients) in the cohort receiving 400 mg twice daily and 13% (3 of 24 patients) in the cohort receiving 100 mg twice daily. The most frequent side effects were mild nausea and fatigue. Olaparib appears to be most effective in patients who are platinum-sensitive.[<a class="bk_pop" href="#CDR0000062855_rl_575_312">312</a>] In addition to ovarian cancer patients with germline <i>BRCA1</i> or <i>BRCA2</i> mutations, PARP inhibitors also may be useful in ovarian cancer patients with somatic <i>BRCA1</i> or <i>BRCA2</i> mutations or with epigenetic silencing of the genes.[<a class="bk_pop" href="#CDR0000062855_rl_575_313">313</a>]</p><p id="CDR0000062855__2510">Several additional phase II studies have been published that examined PARP inhibitors in ovarian cancer. In one study, women with <i>BRCA1/2</i> mutations and recurrent ovarian cancer were randomly assigned to receive liposomal doxorubicin (Doxil) (n = 33), versus olaparib at 200 mg twice daily (n = 32), versus olaparib at 400 mg twice daily (n = 32). This study did not show a difference in progression-free survival between the groups, which was the primary endpoint.[<a class="bk_pop" href="#CDR0000062855_rl_575_314">314</a>] Of interest, the liposomal doxorubicin arm had a higher response rate than anticipated, consistent with other studies demonstrating that <i>BRCA1/2</i>-associated ovarian cancers may be more sensitive to liposomal doxorubicin than are sporadic ovarian cancers.[<a class="bk_pop" href="#CDR0000062855_rl_575_315">315</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_316">316</a>] Another study demonstrated significant responses to olaparib in recurrent ovarian cancer patients, including patients with a <i>BRCA1/2</i> mutation (objective response rate [ORR], 41%) and patients without a <i>BRCA1/2</i> mutation (ORR, 24%).[<a class="bk_pop" href="#CDR0000062855_rl_575_317">317</a>] This study emphasizes that certain sporadic ovarian cancers, particularly those of high-grade serous histology, may have properties similar to <i>BRCA1/2</i> mutation–related tumors.</p><p id="CDR0000062855__2511">Another study examined the role of maintenance therapy with the PARP inhibitor olaparib in platinum-sensitive recurrent ovarian cancer (not restricted to <i>BRCA1/2</i> mutation carriers). In this randomized controlled trial, those who received olaparib maintenance therapy had an improvement in progression-free survival with an HR of 0.35. In <i>BRCA1/2</i> mutation carriers, the HR was approximately 0.1.[<a class="bk_pop" href="#CDR0000062855_rl_575_318">318</a>]</p><p id="CDR0000062855__2381"><a href="/books/n/pdqcis/glossary_loe/def-item/glossary_loe_CDR0000531841/" class="def">Level of evidence: 3dii</a></p></div><div id="CDR0000062855__2082"><h5>Second malignancies</h5><div id="CDR0000062855__2624"><h5>Breast cancer</h5><p id="CDR0000062855__2625">Two genetic registry–based studies have recently explored the risk of primary breast cancer after <i>BRCA</i>-related ovarian cancer. In one study, 164 <i>BRCA1/2</i> carriers with primary epithelial ovarian, fallopian tube or primary peritoneal cancer were followed for subsequent events.[<a class="bk_pop" href="#CDR0000062855_rl_575_319">319</a>] The risk of metachronous breast cancer at 5 years after a diagnosis of ovarian cancer was lower than previously reported for unaffected <i>BRCA1/2</i> carriers. In this series, OS was dominated by ovarian cancer-related deaths. A similar study compared the risk of primary breast cancer in <i>BRCA</i>-related ovarian cancer patients and unaffected carriers.[<a class="bk_pop" href="#CDR0000062855_rl_575_320">320</a>] The 2-year, 5-year, and 10-year risks of primary breast cancer were all statistically significantly lower in patients with ovarian cancer. The risk of contralateral breast cancer among women with a unilateral breast cancer before their ovarian cancer diagnosis was also lower than in women without ovarian cancer, although the difference did not reach statistical significance. These studies suggest that treatment for ovarian cancer, namely oophorectomy and platinum-based chemotherapy, may confer protection against subsequent breast cancer. In a single-institution cohort study of 364 patients with epithelial ovarian cancer who underwent <i>BRCA</i> mutation testing, 135 (37.1%) were found to carry a germline <i>BRCA1</i> or <i>BRCA2</i> mutation. Of the 135 <i>BRCA1/2</i> carriers, 12 (8.9%) developed breast cancer. All breast cancers were stage 0 to stage 2 and diagnosed as follows: mammogram (7), palpable mass (3), and incidental finding during a prophylactic mastectomy (2). At median follow-up of 6.3 years, of the 12 patients with breast cancer after ovarian cancer, three died of recurrent ovarian cancer and one died of metastatic breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_575_321">321</a>] The majority of these cancers were detected with mammogram or clinical exam, suggesting additional breast surveillance with other modalities or prophylactic surgery may be of questionable value. </p></div></div></div></div><div id="CDR0000062855__2665"><h3>Available Clinical Practice Guidelines for Hereditary Breast and Ovarian Cancer</h3><p id="CDR0000062855__2666"><a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2670/?report=objectonly" target="object" rid-figpopup="figCDR00000628552670" rid-ob="figobCDR00000628552670">Table 11</a> lists several organizations that have published recommendations for cancer risk assessment and genetic counseling, genetic testing, and/or management for hereditary breast and ovarian cancer.</p><div id="CDR0000062855__2670" class="table"><h3><span class="title">Table 11. Available Clinical Practice Guidelines for Hereditary Breast and Ovarian Cancer (HBOC)</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2670/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2670_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Organization</th><th colspan="1" rowspan="1" style="vertical-align:top;">Referral Recommendations</th><th colspan="1" rowspan="1" style="vertical-align:top;">Risk Assessment and Genetic Counseling Recommendations</th><th colspan="1" rowspan="1" style="vertical-align:top;">Genetic Testing Recommendations</th><th colspan="1" rowspan="1" style="vertical-align:top;">Management Recommendations</th></tr></thead><tbody><tr><td colspan="1" rowspan="2" style="vertical-align:top;">ACMG/NSGC (2015) [<a class="bk_pop" href="#CDR0000062855_rl_575_322">322</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Risk Assessment:</b> Addressed</td><td colspan="1" rowspan="2" style="vertical-align:top;">Not addressed</td><td colspan="1" rowspan="2" style="vertical-align:top;">Not addressed</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genetic Counseling:</b> Addressed</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">ACOG (2009) [<a class="bk_pop" href="#CDR0000062855_rl_575_323">323</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Risk Assessment:</b> Addressed </td><td colspan="1" rowspan="2" style="vertical-align:top;">Not addressed</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genetic Counseling:</b> Addressed</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">ASCO (2010) [<a class="bk_pop" href="#CDR0000062855_rl_575_324">324</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Not addressed</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Risk Assessment:</b> General recommendations; not specific to HBOC
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</td><td colspan="1" rowspan="2" style="vertical-align:top;">General recommendations; not specific to HBOC </td><td colspan="1" rowspan="2" style="vertical-align:top;">Not addressed</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genetic Counseling:</b> Addressed
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</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">NAPBC (2013) [<a class="bk_pop" href="#CDR0000062855_rl_575_325">325</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Refers to other published guidelines</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Risk Assessment:</b> Refers to other published guidelines
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</td><td colspan="1" rowspan="2" style="vertical-align:top;">Indications for testing not addressed; components of pretest and posttest counseling addressed</td><td colspan="1" rowspan="2" style="vertical-align:top;">Not addressed</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genetic Counseling:</b> Addressed
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</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">NSGC (2013) [<a class="bk_pop" href="#CDR0000062855_rl_575_326">326</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Risk Assessment:</b> Refers to other published guidelines and available models
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</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="2" style="vertical-align:top;">Refers to other published guidelines</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genetic Counseling:</b> Addressed
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</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">NCCN (2015) [<a class="bk_pop" href="#CDR0000062855_rl_575_32">32</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Risk Assessment:</b> Addressed
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</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genetic Counseling:</b> Addressed
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</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">SGO (2014, 2015) [<a class="bk_pop" href="#CDR0000062855_rl_575_327">327</a>,<a class="bk_pop" href="#CDR0000062855_rl_575_328">328</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Risk Assessment:</b> Addressed
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</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed in general terms</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genetic Counseling:</b> Addressed</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">USPSTF<sup>a</sup> (2014) [<a class="bk_pop" href="#CDR0000062855_rl_575_329">329</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Risk Assessment:</b> Addressed
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</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed in general terms and other guidelines referenced</td><td colspan="1" rowspan="2" style="vertical-align:top;">Addressed in general terms and other guidelines referenced</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Genetic Counseling:</b> Addressed
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</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">ACMG/NSGC = American College of Medical Genetics and Genomics/National Society of Genetic Counselors; ACOG = American College of Obstetricians and Gynecologists; ASCO = American Society of Clinical Oncology; NAPBC = National Accreditation Program for Breast Centers; NCCN = National Comprehensive Cancer Network; NSGC = National Society of Genetic Counselors; SGO = Society of Gynecologic Oncology; USPSTF = U.S. Preventive Services Task Force. </p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>a</sup>The USPSTF guidelines apply to individuals without a prior cancer diagnosis.</p></div></dd></dl></div></div></div></div><div id="CDR0000062855_rl_575"><h3>References</h3><ol><li><div class="bk_ref" id="CDR0000062855_rl_575_1">U.S. Preventive Services Task Force: Genetic risk assessment and BRCA mutation testing for breast and ovarian cancer susceptibility: recommendation statement. 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[<a href="https://pubmed.ncbi.nlm.nih.gov/22452356" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 22452356</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_319">Domchek SM, Jhaveri K, Patil S, et al.: Risk of metachronous breast cancer after BRCA mutation-associated ovarian cancer. Cancer 119 (7): 1344-8, 2013. [<a href="https://pubmed.ncbi.nlm.nih.gov/23165893" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 23165893</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_320">Vencken PM, Kriege M, Hooning M, et al.: The risk of primary and contralateral breast cancer after ovarian cancer in BRCA1/BRCA2 mutation carriers: Implications for counseling. Cancer 119 (5): 955-62, 2013. [<a href="https://pubmed.ncbi.nlm.nih.gov/23165859" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 23165859</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_321">Gangi A, Cass I, Paik D, et al.: Breast cancer following ovarian cancer in BRCA mutation carriers. JAMA Surg 149 (12): 1306-13, 2014. [<a href="https://pubmed.ncbi.nlm.nih.gov/25372568" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 25372568</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_322">Hampel H, Bennett RL, Buchanan A, et al.: A practice guideline from the American College of Medical Genetics and Genomics and the National Society of Genetic Counselors: referral indications for cancer predisposition assessment. Genet Med 17 (1): 70-87, 2015. [<a href="https://pubmed.ncbi.nlm.nih.gov/25394175" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 25394175</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_323">American College of Obstetricians and Gynecologists, ACOG Committee on Practice Bulletins--Gynecology, ACOG Committee on Genetics, et al.: ACOG Practice Bulletin No. 103: Hereditary breast and ovarian cancer syndrome. Obstet Gynecol 113 (4): 957-66, 2009. [<a href="https://pubmed.ncbi.nlm.nih.gov/19305347" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19305347</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_324">Robson ME, Storm CD, Weitzel J, et al.: American Society of Clinical Oncology policy statement update: genetic and genomic testing for cancer susceptibility. J Clin Oncol 28 (5): 893-901, 2010. [<a href="https://pubmed.ncbi.nlm.nih.gov/20065170" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 20065170</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_325">National Accreditation Program for Breast Centers: 2013 Breast Center Standards Manual. Chicago, IL: National Accreditation Program for Breast Centers, 2013. <a href="http://napbc-breast.org/standards/2013standardsmanual.pdf" ref="pagearea=cite-ref&targetsite=external&targetcat=link&targettype=uri">Available online</a>. Last accessed April 15, 2014.</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_326">Berliner JL, Fay AM, Cummings SA, et al.: NSGC practice guideline: risk assessment and genetic counseling for hereditary breast and ovarian cancer. J Genet Couns 22 (2): 155-63, 2013. [<a href="https://pubmed.ncbi.nlm.nih.gov/23188549" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 23188549</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_327">Society of Gynecologic Oncology: SGO Clinical Practice Statement: Genetic Testing for Ovarian Cancer. 2014. <a href="https://www.sgo.org/clinical-practice/guidelines/genetic-testing-for-ovarian-cancer/" ref="pagearea=cite-ref&targetsite=external&targetcat=link&targettype=uri">Available online</a>. Last accessed April 15, 2014.</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_328">Lancaster JM, Powell CB, Chen LM, et al.: Society of Gynecologic Oncology statement on risk assessment for inherited gynecologic cancer predispositions. Gynecol Oncol 136 (1): 3-7, 2015. [<a href="https://pubmed.ncbi.nlm.nih.gov/25238946" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 25238946</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_575_329">Moyer VA; U.S. Preventive Services Task Force: Risk assessment, genetic counseling, and genetic testing for BRCA-related cancer in women: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 160 (4): 271-81, 2014. [<a href="https://pubmed.ncbi.nlm.nih.gov/24366376" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 24366376</span></a>]</div></li></ol></div></div><div id="CDR0000062855__2742"><h2 id="_CDR0000062855__2742_">Clinical Management of Other Hereditary Breast and/or Gynecologic Cancer Syndromes</h2><div id="CDR0000062855__2743"><h3>Lynch syndrome</h3><p id="CDR0000062855__2744">As mismatch repair genes were identified as the genetic basis of Lynch syndrome, microsatellite instability was identified as a common molecular marker of mismatch repair deficiency. Approximately 15% of sporadic colorectal cancers show microsatellite instability, while up to 28% of sporadic endometrial cancers have this molecular change.[<a class="bk_pop" href="#CDR0000062855_rl_2742_1">1</a>,<a class="bk_pop" href="#CDR0000062855_rl_2742_2">2</a>] Most frequently, sporadic tumors with microsatellite instability have hypermethylation of the <i>MLH1</i> promoter. In Lynch syndrome–related tumors showing microsatellite instability, there is typically loss of one or more of the proteins associated with the mismatch repair genes.</p><p id="CDR0000062855__2745">Certain histopathologic features are also strongly suggestive of a microsatellite instability phenotype, including the presence of tumor infiltrating lymphocytes, peritumoral lymphocytes, undifferentiated carcinomas, and lower uterine segment tumors. Use of clinical criteria is one strategy of selection criteria for tumor testing. Computer models have also been used to predict the probability of a mismatch repair gene mutation and can be used in the absence of microsatellite instability or immunohistochemistry information.[<a class="bk_pop" href="#CDR0000062855_rl_2742_3">3</a>-<a class="bk_pop" href="#CDR0000062855_rl_2742_6">6</a>] Overall, however, there is a move towards universal testing of colorectal and endometrial tumors when tumor tissue is available. (Refer to the <a href="/books/n/pdqcis/CDR0000062863/#CDR0000062863__909">Diagnostic strategies for all individuals diagnosed with colorectal cancer [universal testing]</a> section in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062863/">Genetics of Colorectal Cancer</a> for more information.)
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</p></div><div id="CDR0000062855_rl_2742"><h3>References</h3><ol><li><div class="bk_ref" id="CDR0000062855_rl_2742_1">Vilar E, Gruber SB: Microsatellite instability in colorectal cancer-the stable evidence. Nat Rev Clin Oncol 7 (3): 153-62, 2010. [<a href="/pmc/articles/PMC3427139/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3427139</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/20142816" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 20142816</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_2742_2">Nakamura A, Osonoi T, Terauchi Y: Relationship between urinary sodium excretion and pioglitazone-induced edema. J Diabetes Investig 1 (5): 208-11, 2010. [<a href="/pmc/articles/PMC4020723/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC4020723</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/24843434" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 24843434</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_2742_3">Balmaña J, Stockwell DH, Steyerberg EW, et al.: Prediction of MLH1 and MSH2 mutations in Lynch syndrome. JAMA 296 (12): 1469-78, 2006. [<a href="https://pubmed.ncbi.nlm.nih.gov/17003395" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 17003395</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_2742_4">Barnetson RA, Tenesa A, Farrington SM, et al.: Identification and survival of carriers of mutations in DNA mismatch-repair genes in colon cancer. N Engl J Med 354 (26): 2751-63, 2006. [<a href="https://pubmed.ncbi.nlm.nih.gov/16807412" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16807412</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_2742_5">Kastrinos F, Allen JI, Stockwell DH, et al.: Development and validation of a colon cancer risk assessment tool for patients undergoing colonoscopy. Am J Gastroenterol 104 (6): 1508-18, 2009. [<a href="/pmc/articles/PMC3584339/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3584339</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/19491864" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19491864</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_2742_6">Khan O, Blanco A, Conrad P, et al.: Performance of Lynch syndrome predictive models in a multi-center US referral population. Am J Gastroenterol 106 (10): 1822-7; quiz 1828, 2011. [<a href="/pmc/articles/PMC3804147/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC3804147</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/21747416" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21747416</span></a>]</div></li></ol></div></div><div id="CDR0000062855__271"><h2 id="_CDR0000062855__271_">Psychosocial Issues in Inherited Breast and Ovarian Cancer Syndromes</h2><div id="CDR0000062855__272"><h3>Introduction</h3><p id="CDR0000062855__273">Psychosocial research in the context of cancer genetic testing helps to define
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psychological outcomes, interpersonal and familial effects, and cultural and
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community responses. This type of research also identifies behavioral factors that encourage or
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impede screening and other health behaviors. It can enhance decision-making
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about risk-reduction interventions, evaluate psychosocial interventions to
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reduce distress and/or other negative sequelae related to risk notification and
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genetic testing, provide data to help resolve ethical concerns, and predict the
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interest in testing of various groups.
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</p><p id="CDR0000062855__2749">This section addresses psychosocial issues in hereditary breast and ovarian cancer syndromes. Psychosocial and screening issues related to gynecologic cancers associated with Lynch syndrome are discussed in the <a href="/books/n/pdqcis/CDR0000062863/#CDR0000062863__189">Psychosocial Issues in Hereditary Colon Cancer Syndromes</a> section in the PDQ summary on <a href="/books/n/pdqcis/CDR0000062863/">Genetics of Colorectal Cancer</a>.</p></div><div id="CDR0000062855__2556"><h3>Uptake of Genetic Counseling and Genetic Testing</h3><div id="CDR0000062855__9"><h4>Degree of uptake of genetic counseling and genetic testing</h4><p id="CDR0000062855__109">Comparison of uptake rates across studies is challenging because of differences in methodologies, including the sampling strategy used, the recruitment setting, and testing through a research protocol with high-risk cohorts or <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460158/" class="def">kindreds</a>. In a systematic review of 40 studies conducted before 2002 that had assessed genetic testing utilization, uptake rates varied widely and ranged from 25% to 96%, with an average uptake rate of 59%.[<a class="bk_pop" href="#CDR0000062855_rl_271_1">1</a>] Results of multivariate analysis found that <i>BRCA1/BRCA2</i> genetic testing uptake was associated with having a personal or family history of breast or ovarian cancer, and with methodological features of the studies, including sampling strategies, recruitment settings, and how studies defined actual uptake versus the intention to have testing.</p><p id="CDR0000062855__2557">Other factors have been positively correlated with uptake of <i>BRCA1/BRCA2</i> genetic testing, although these findings are not consistent across all studies. Psychological factors that have been positively correlated with testing uptake include greater cancer-specific distress and greater perceived risk of developing breast or ovarian cancer. Having more cancer-affected relatives also has been correlated with greater testing uptake. </p><p id="CDR0000062855__2558">Table 12 summarizes the uptake of genetic testing in clinical and research cohorts in the United States.</p><div id="CDR0000062855__2598" class="table"><h3><span class="title">Table 12. Predictors Associated with Uptake of Genetic Testing (GT)</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2598/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2598_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Study Citation</th><th colspan="1" rowspan="1" style="vertical-align:top;">Study Population</th><th colspan="1" rowspan="1" style="vertical-align:top;">Sample Size (N)</th><th colspan="1" rowspan="1" style="vertical-align:top;">Uptake of GT</th><th colspan="1" rowspan="1" style="vertical-align:top;">Predictors Associated With Uptake of GT</th><th colspan="1" rowspan="1" style="vertical-align:top;">Comments</th></tr></thead><tbody><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Schwartz et al. (2005) [<a class="bk_pop" href="#CDR0000062855_rl_271_2">2</a>]</td><td colspan="1" rowspan="4" style="vertical-align:top;">Newly diagnosed and locally untreated breast cancer patients with ≥10% risk of having a <i>BRCA1/2 </i>mutation<sup>a</sup>
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</td><td colspan="1" rowspan="4" style="vertical-align:top;">231</td><td colspan="1" rowspan="1" style="vertical-align:top;">177/231 (77%) underwent GT</td><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Having decided on definitive local treatment.</b> Women who were undecided on a definitive local treatment were more likely to be tested.</td><td colspan="1" rowspan="2" style="vertical-align:top;">Testing was offered free of charge. </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">34/231 (15%) had baseline interview but declined GT</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Physician recommendation for testing.</b> Women whose physician had recommended GT were more likely to be tested.</td><td colspan="1" rowspan="2" style="vertical-align:top;">38/177 chose to proceed with treatment before receiving test results.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">20/231 declined baseline interview</td></tr><tr><td colspan="1" rowspan="5" style="vertical-align:top;">Kieran et al. (2007) [<a class="bk_pop" href="#CDR0000062855_rl_271_3">3</a>]</td><td colspan="1" rowspan="5" style="vertical-align:top;">Women who received GC between 2002 and 2004<sup>a</sup></td><td colspan="1" rowspan="5" style="vertical-align:top;">250</td><td colspan="1" rowspan="1" style="vertical-align:top;">88/250 (35%) underwent GT</td><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Ability to pay for GT (entire cost or cost not covered by insurance).</b> Nonuptake was 5.5 times more likely in women who could not afford testing.</td><td colspan="1" rowspan="2" style="vertical-align:top;">450 women received GC for breast and ovarian cancer risk during study period. 250 women were retrospectively identified as eligible and were mailed a study questionnaire.</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">36/88 returned surveys</td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;"><b>Ability to recall risk estimates that were provided post-GC.</b> Nonuptake was 15.5 times more likely in women who could not recall their risk estimates.</td><td colspan="1" rowspan="3" style="vertical-align:top;">All women had some form of insurance.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">162/250 (65%) eligible </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">65/162 returned surveys</td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Susswein et al. (2008) [<a class="bk_pop" href="#CDR0000062855_rl_271_4">4</a>]</td><td colspan="1" rowspan="4" style="vertical-align:top;">African American women and white women with breast cancer<sup>b</sup></td><td colspan="1" rowspan="4" style="vertical-align:top;">768 </td><td colspan="1" rowspan="1" style="vertical-align:top;">529/768 (69%) underwent GT</td><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Race/ethnicity. </b>African American women were less likely to be tested than were white women.</td><td colspan="1" rowspan="4" style="vertical-align:top;">Sample obtained from a clinical database. Testing was offered free of charge when it was not covered by insurance. This effect for time of diagnosis was significant in the African American, but not white, subgroup.</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>African American women:</b> 77/132 (58%) underwent GT</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Recent diagnosis. </b>African American women who were recently diagnosed were more likely to be tested.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>White women: </b>452/636 (71%) underwent GT</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">Olaya et al. (2009) [<a class="bk_pop" href="#CDR0000062855_rl_271_5">5</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Patients referred for GT between 2001 and 2008<sup>b</sup>
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</td><td colspan="1" rowspan="2" style="vertical-align:top;">213</td><td colspan="1" rowspan="1" style="vertical-align:top;">111/213 (52%) underwent GT</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Personal history of breast cancer.</b> Having a personal history was associated with 3 times greater odds of being tested.</td><td colspan="1" rowspan="2" style="vertical-align:top;">Insurance coverage for testing was available for 91.1% (175/213) of patients. Of those who had coverage for GT, 51.4% underwent testing and 48.6% did not. Of those without coverage, 41.2% had GT and 58.9% did not.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">102/213 (48%) declined GT</td><td colspan="1" rowspan="1" style="vertical-align:top;">
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<b>Higher level of education.</b> Those with a high school education or less had one-third the odds of being tested, compared with those with at least some college.</td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Levy et al. (2010) [<a class="bk_pop" href="#CDR0000062855_rl_271_6">6</a>] </td><td colspan="1" rowspan="4" style="vertical-align:top;">Women aged 20–40 y with newly diagnosed early-onset breast cancer.<sup>b</sup></td><td colspan="1" rowspan="4" style="vertical-align:top;">1,474</td><td colspan="1" rowspan="1" style="vertical-align:top;">446/1,474 (30%) underwent GT</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Race/ethnicity. </b>Women of Jewish ethnicity were 3 times more likely to be tested than were non-Jewish white women. African American and Hispanic women were significantly less likely to receive testing than were non-Jewish white women.</td><td colspan="1" rowspan="4" style="vertical-align:top;">Sample obtained from a national database of commercially insured individuals.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Jewish women:</b>
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18/32 (56%) underwent GT
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</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Home location.</b> Women living in the south were more likely to be tested than were women living in the northeast.</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>African American women:</b>
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10/82 (12%) underwent GT
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</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Insurance type.</b> Women with point-of-service plans were more likely to be tested than were women with HMO plans.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Recent diagnosis.</b> Women diagnosed in 2007 were 3.8 times more likely to be tested than were women diagnosed in 2004.</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">GC = genetic counseling; HMO = health maintenance organization.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>a</sup>Self-report as data source.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>b</sup>Medical records as data source.</p></div></dd></dl></div></div></div><p id="CDR0000062855__2504">Several studies conducted in non-U.S. settings have examined the uptake of genetic testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_7">7</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_11">11</a>] In studies examining the uptake of testing among at-risk relatives of <i>BRCA1</i>/<i>BRCA2</i> mutation carriers, uptake rates have averaged below 50% (range, 36%–48%), with higher uptake reported among female relatives than in male relatives. Other factors associated with higher uptake of testing were not consistently reported among studies but have most commonly included being a parent and wanting to learn information about a child’s risk. </p></div><div id="CDR0000062855__14"><h4>Factors influencing uptake of genetic counseling and genetic testing</h4><p id="CDR0000062855__2571">In reviews that have examined the cumulative evidence concerning the predictors of uptake of <i>BRCA1</i>/<i>BRCA2</i> genetic testing, important predictors of testing uptake include older age, Ashkenazi Jewish (AJ) heritage, unmarried status, a personal history of breast cancer, and a family history of breast cancer. Studies recruiting participants in hospital settings had significantly higher recruitment rates than did studies recruiting participants in community settings. Studies that required an immediate decision to test, rather than allowing delayed decision making, tended to report higher uptake rates.[<a class="bk_pop" href="#CDR0000062855_rl_271_1">1</a>] However, there is evidence that women diagnosed with breast cancer are equally satisfied with genetic counseling (including information received and strength and timing of physician recommendations for counseling), whether they received genetic counseling before or after their definitive surgery for breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_12">12</a>] Another review [<a class="bk_pop" href="#CDR0000062855_rl_271_13">13</a>] found that uptake of genetic testing for <i>BRCA1/2</i> mutations was related to psychological factors (e.g., anxiety about breast cancer and perceived risk of breast cancer) and demographic and medical factors (e.g., history of breast cancer or ovarian cancer, presence of children, and higher number of affected first-degree relatives). Family members with a known <i>BRCA1/2</i> mutation were more likely to pursue testing; those with more extensive knowledge of <i>BRCA1/2</i> testing, heightened risk perceptions, beliefs that mammography would promote health benefit, and high intentions to undergo testing were more likely to follow through with testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_14">14</a>]</p><p id="CDR0000062855__1585">In a review of racial/ethnic differences that affect uptake of <i>BRCA1/2</i> testing, intention to undergo genetic testing in African American women was related to having at least one first-degree relative with breast cancer or ovarian cancer, higher perceived risk of being a carrier, and less anticipatory guilt about the possibility of being a gene carrier.[<a class="bk_pop" href="#CDR0000062855_rl_271_15">15</a>]</p><p id="CDR0000062855__1586"> Reasons cited for following through with testing included a desire to learn about a child's risk, to feel relief from uncertainty, to inform screening or prophylactic surgery decisions, and to inform important life decisions such as marriage and childbearing.[<a class="bk_pop" href="#CDR0000062855_rl_271_14">14</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_16">16</a>] Among African American women, the most important reason for testing included motivation to help other relatives decide on genetic testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_15">15</a>]</p><p id="CDR0000062855__2469">Physician recommendation may be another motivator for testing. In a retrospective study of 335 women considering genetic testing, 77% reported that they wanted the opinion of a genetics physician about whether they should be tested, and 49% wanted the opinion of their primary care provider.[<a class="bk_pop" href="#CDR0000062855_rl_271_17">17</a>] However, there is some evidence of referral bias favoring those with a maternal family history of breast cancer or ovarian cancer. In a Canadian retrospective review of 315 patients, those with a maternal family history of breast cancer or ovarian cancer were 4.9 times (95% confidence interval, 3.6–6.7) more likely to be referred for a cancer genetics consultation by their physician than were those with a paternal family history (<i>P</i> < .001).[<a class="bk_pop" href="#CDR0000062855_rl_271_18">18</a>] Studies have found that physicians may not adequately assess paternal family history [<a class="bk_pop" href="#CDR0000062855_rl_271_19">19</a>] or may underestimate the significance of a paternal family history for genetic risk.[<a class="bk_pop" href="#CDR0000062855_rl_271_19">19</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_21">21</a>]</p><div id="CDR0000062855__2559"><h5>Insurance coverage</h5><p id="CDR0000062855__2560">In May 2011, a case study examined coverage for <i>BRCA1/2</i> testing using National Comprehensive Cancer Network (NCCN) clinical guidelines. The online databases included data from large private insurers (eight payers, including Aetna, Cigna, Humana, and United HealthCare) and public insurance policies, including Medicare (Washington state) and four Medicaid policies (Arizona, California, Illinois, and New York). Overall, more consistent policies were available for private than for public payers, indicating better communication of eligibility criteria and transparency of coverage. However, across all types of coverage, including private coverage, the criteria were inconsistent for coverage of genetic counseling services. Of note, the Medicare policies only covered individuals with a history of breast cancer, not those with strong family histories, as outlined by NCCN.[<a class="bk_pop" href="#CDR0000062855_rl_271_22">22</a>] </p><p id="CDR0000062855__2605">Conducted in 2008, another study examined coverage policies from all third-party payers in
|
||
Illinois and documented relative consistency in coverage for genetic testing for breast/ovarian cancer and colorectal cancer susceptibility, but much less consistent approaches to coverage for genetic counseling services; for example, several policies would not cover genetic counseling services unless the patient ultimately decided against genetic testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_23">23</a>] One example of success in changing coverage plans was initiated by the Michigan Department of Community Health, which used
|
||
a cooperative agreement with the Centers for Disease Control and Prevention to raise awareness and provide guidance for an increase in written policies regarding <i>BRCA1/2</i> testing, increasing utilization from 4 to 11 health plans.[<a class="bk_pop" href="#CDR0000062855_rl_271_24">24</a>] As of August 2011, 11 of 24 Michigan health plans had written <i>BRCA1/2</i> genetic testing policies aligned with U.S. Preventive Services Task Force guidelines. There is evidence that concerns about genetic discrimination are decreasing. A 2007 survey of genetic counselors reported that most (94%) felt the risk of insurance discrimination resulting from genetic testing was low, and that they were confident in U.S. laws to protect against genetic discrimination.[<a class="bk_pop" href="#CDR0000062855_rl_271_25">25</a>]</p></div></div><div id="CDR0000062855__1587"><h4>Uptake of genetic counseling and genetic testing in diverse populations</h4><div id="CDR0000062855__30"><h5>Degree of uptake of genetic counseling and genetic testing in diverse populations</h5><p id="CDR0000062855__2561">There are limited data on uptake of genetic counseling and testing among nonwhite populations, and further research will be needed to define factors influencing uptake in these populations.[<a class="bk_pop" href="#CDR0000062855_rl_271_26">26</a>] The uptake of <i>BRCA</i> testing appears to vary across some racial/ethnic groups. A few studies have compared uptake rates between African American and white women.[<a class="bk_pop" href="#CDR0000062855_rl_271_4">4</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_27">27</a>] In a case-control study of women who had been seen in a university-based primary care system, African American women with family histories of breast cancer or ovarian cancer were less likely to undergo <i>BRCA1/2</i> testing than were white women who had similar histories.[<a class="bk_pop" href="#CDR0000062855_rl_271_27">27</a>] In another study among breast cancer patients who were counseled about <i>BRCA1/2</i> risk in a clinical setting, lower uptake was reported among African American women than among white women.[<a class="bk_pop" href="#CDR0000062855_rl_271_4">4</a>] </p><p id="CDR0000062855__2606">Notably, the racial differences observed in these studies do not appear to be explained by factors related to cost, access to care, risk factors for carrying a <i>BRCA1</i> or <i>BRCA2</i> mutation, or differences in psychosocial factors, including risk perceptions, worry, or attitudes toward testing.</p></div><div id="CDR0000062855__1589"><h5>Factors influencing uptake of genetic counseling and genetic testing in diverse populations</h5><p id="CDR0000062855__2562">Several studies have examined uptake or “acceptance” of <i>BRCA</i> testing among African Americans enrolled in genetic research programs. Among study enrollees from an African American kindred in Utah, 83% underwent <i>BRCA1</i> testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_28">28</a>] Age, perceived risk of being a carrier, and more extensive cancer knowledge predicted testing acceptance. Another study that recruited African American women through physician and community referrals reported a <i>BRCA1/2</i> testing acceptance rate of 22%.[<a class="bk_pop" href="#CDR0000062855_rl_271_29">29</a>] Predictors of test acceptance included having a higher probability of having a mutation, being married, and being less certain about one’s cancer risk. Finally, a third study that recruited at-risk African American women from an urban cancer screening clinic found that acceptors of <i>BRCA</i> testing were more knowledgeable about breast cancer genetics and perceived fewer barriers to testing, including negative emotional reactions, stigmatization concerns, and family-related guilt.[<a class="bk_pop" href="#CDR0000062855_rl_271_30">30</a>] While these are independent predictors of genetic testing uptake, they do not explain the disparities in testing uptake across different ethnic groups. What may explain these differences are several attitudes and beliefs held about testing by individuals from diverse populations.</p><p id="CDR0000062855__2563">Recent work examining attitudes toward breast cancer genetic testing in African American and Latino populations indicates limited knowledge and awareness about testing but a generally receptive view once they are informed; in comparison with whites, African American and Latino populations have relatively more concerns about testing.</p><p id="CDR0000062855__2564">For example, in a qualitative focus group study with 51 Latino individuals unselected for risk status, important findings included the fact that participants were highly interested in genetic testing for inherited cancer susceptibility, despite very limited knowledge about genetics. One important barrier involved secrecy or embarrassment about family discussions of cancer and genetics, which could be addressed in intervention strategies.[<a class="bk_pop" href="#CDR0000062855_rl_271_31">31</a>] Similarly, a telephone survey of 314 patients, 50% of whom were African American, from an inner-city network of Pittsburgh, Pennsylvania, health centers found that most participants (57%) (both African Americans and whites) felt that genetic testing to evaluate disease risk was a good idea; however, more African Americans than whites thought that genetic testing would lead to racial discrimination (37% vs. 22%, respectively) and that genetics research was unethical and tampered with nature (20% vs. 11%, respectively).[<a class="bk_pop" href="#CDR0000062855_rl_271_32">32</a>] Finally, in a study of 222 women in Savannah, Georgia, where most had neither a personal history (70%) nor a family history (60%) of breast cancer, African American women (who comprised 26% of the sample) were less likely to be aware of breast cancer genes and genetic testing. Awareness was also related to higher income, higher education level, and having a family breast cancer history. However, 74% of the entire sample expressed willingness to be tested for breast cancer susceptibility.[<a class="bk_pop" href="#CDR0000062855_rl_271_33">33</a>]</p><p id="CDR0000062855__2565">In a sample of 146 African American women meeting criteria for <i>BRCA1/2</i> mutation testing, women born outside the United States reported higher levels of anticipated negative emotional reactions (e.g., fear, hopelessness, and lack of confidence that they could emotionally handle testing). Higher levels of breast cancer–specific distress were associated with anticipated negative emotional reactions, confidentiality concerns, and anticipated guilt regarding the family impact of breast cancer genetic testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_34">34</a>] A future orientation (e.g., "I often think about how my actions today will affect my health when I am older") was associated with overall perceived benefits of breast cancer genetic testing in this population (n = 140); however, future orientation was also found to be positively associated with family-related cons of testing, including family guilt and worry regarding the impact of testing on the family.[<a class="bk_pop" href="#CDR0000062855_rl_271_35">35</a>]</p></div></div><div id="CDR0000062855__2566"><h4>Factors associated with declining genetic counseling and testing</h4><p id="CDR0000062855__37">There is evidence that primary reasons for declining testing involves being childless, which reduces any family motivations for testing; and concerns about the negative ramifications of testing, including difficulty retaining insurance or concerns about personal health.</p><p id="CDR0000062855__106">Limited data are available about the characteristics of at-risk individuals who decline to be tested or have never been tested. It is difficult to access samples of test decliners because they may be reluctant to participate in research studies. Studies of genetic testing uptake are difficult to compare because people may decline at different points and with different amounts of pretest education and counseling. One study found that 43% of affected and unaffected individuals from hereditary breast/ovarian cancer families who completed a baseline interview regarding testing declined to be tested. Most individuals who declined testing chose not to participate in educational sessions. Decliners were more likely to be male and be unmarried, and have fewer relatives with breast cancer. Decliners who had high levels of cancer-related stress had higher levels of depression. Decliners lost to follow-up were significantly more likely to be affected with cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_36">36</a>]</p><p id="CDR0000062855__2607">Another study looked at a small number (n = 13) of women decliners who carried a 25% to 50% probability of harboring a <i>BRCA</i> mutation; these nontested women were more likely to be childless and to have higher levels of education. This study showed that most women decided not to undergo the test after serious deliberation about the risks and benefits. Satisfaction with frequent surveillance was given as one reason for nontesting by most of these women.[<a class="bk_pop" href="#CDR0000062855_rl_271_37">37</a>] Other reasons for declining included having no children and becoming acquainted with breast/ovarian cancer in the family relatively early in their lives.[<a class="bk_pop" href="#CDR0000062855_rl_271_36">36</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_37">37</a>] </p><p id="CDR0000062855__2608">A third study evaluated characteristics of 34 individuals who declined <i>BRCA1/2</i> testing in a large multicenter study in the United Kingdom. Decliners were younger than a national sample of test acceptors, and female decliners had lower mean scores on a measure of cancer worry. Although 78% of test decliners/deferrers felt that their health was at risk, they reported that learning about their <i>BRCA1/2</i> mutation status would cause them to worry about the following:</p><ul id="CDR0000062855__107"><li class="half_rhythm"><div>Their children's health (76%).</div></li><li class="half_rhythm"><div>Their life insurance (60%).</div></li><li class="half_rhythm"><div>Their own health (56%).</div></li><li class="half_rhythm"><div>Loss of their job (5%).</div></li><li class="half_rhythm"><div>Receiving less screening if they did not carry a <i>BRCA1/2</i> mutation (62%).</div></li></ul><p id="CDR0000062855__108">Apprehension about the impact of the test result was a more important factor in the decision to decline testing than were concrete burdens such as time required to travel to a genetics clinic and time spent away from work, family, and social obligations.[<a class="bk_pop" href="#CDR0000062855_rl_271_38">38</a>] In 15% (n = 31) of individuals from 13 hereditary breast and ovarian cancer families who underwent genetic education and counseling and declined testing for a documented mutation in the family, positive changes in family relationships were reported—specifically, greater expressiveness and cohesion—compared with those who pursued testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_39">39</a>]</p></div><div id="CDR0000062855__2567"><h4>Genetic counseling and testing in children</h4><p id="CDR0000062855__39">Testing for <i>BRCA1/2</i> mutations has been almost universally limited to adults older than 18
|
||
years. The risks of testing children for adult-onset disorders, such as breast
|
||
and ovarian cancers, as inferred from developmental data on children’s medical
|
||
understanding and ability to provide informed consent, have been outlined in
|
||
several reports.[<a class="bk_pop" href="#CDR0000062855_rl_271_40">40</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_43">43</a>] </p><p id="CDR0000062855__2568">Studies suggest that persons who have undergone <i>BRCA1/2</i> genetic testing or who are adult offspring of persons who have had testing are generally not in favor of testing minors.[<a class="bk_pop" href="#CDR0000062855_rl_271_44">44</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_45">45</a>] Although the data are limited, research suggests that males, mutation noncarriers, and those whose mothers did not have personal histories of breast cancer may be more likely to favor genetic testing in minors in general.[<a class="bk_pop" href="#CDR0000062855_rl_271_44">44</a>] Of those who had minor children at the time the study was conducted, only 17% stated a preference for having their own children tested. Concerns regarding testing of minors included psychological risks and insufficient maturity. Potential benefits included the ability to influence health behaviors.[<a class="bk_pop" href="#CDR0000062855_rl_271_45">45</a>]</p><p id="CDR0000062855__2609"> No data exist on the testing of children for
|
||
<i>BRCA1/2</i> mutations, although some researchers believe it is necessary to test the validity
|
||
of assumptions underlying the general prohibition of testing children for
|
||
genetic mutations associated with breast and ovarian cancers and other adult-onset diseases.[<a class="bk_pop" href="#CDR0000062855_rl_271_46">46</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_48">48</a>] In one study, 20 children (aged 11–17 years) of a selected group of mothers undergoing genetic testing (80% of whom previously had breast cancer and all of whom had discussed <i>BRCA1/2</i> testing with their children) completed self-report questionnaires on their health beliefs and attitudes toward cancer, feelings related to cancer, and behavioral problems.[<a class="bk_pop" href="#CDR0000062855_rl_271_49">49</a>] Ninety percent of children thought they would want cancer risk information as adults; half worried about themselves or a family member developing cancer. There was no evidence of emotional distress or behavioral problems. </p></div></div><div id="CDR0000062855__285"><h3>What People Bring to Genetic Testing: Impact of Risk Perception, Health Beliefs, and Personality Characteristics</h3><p id="CDR0000062855__286">The emerging literature in this area suggests that risk perceptions,
|
||
health beliefs, psychological status, and personality characteristics are important factors in
|
||
decision-making about breast/ovarian cancer genetic testing. Many women
|
||
presenting at academic centers for <i>BRCA1/BRCA2</i> testing arrive with a strong belief
|
||
that they have a mutation, having decided they want genetic testing, but
|
||
possessing little information about the risks or limitations of testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_50">50</a>] Most mean scores of psychological functioning at baseline for subjects in genetic counseling studies were within normal limits.[<a class="bk_pop" href="#CDR0000062855_rl_271_51">51</a>] Nonetheless, a subset of subjects in many genetic counseling studies present with elevated anxiety, depression, or cancer worry.[<a class="bk_pop" href="#CDR0000062855_rl_271_52">52</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_53">53</a>] Identification of these individuals is essential to prevent adverse outcomes. In a study of 205 women pursuing genetic counseling, interactions among cancer worry, breast cancer risk perception, and perceived severity of having a breast cancer gene mutation were found such that those with high worry, high breast cancer risk perception, and low perceived severity were twice as likely to follow through with <i>BRCA1/BRCA2</i> testing than others.[<a class="bk_pop" href="#CDR0000062855_rl_271_54">54</a>]
|
||
</p><p id="CDR0000062855__287">A general tendency to overestimate inherited risk of breast and ovarian cancer
|
||
has been noted in at-risk populations,[<a class="bk_pop" href="#CDR0000062855_rl_271_55">55</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_57">57</a>] in cancer patients,[<a class="bk_pop" href="#CDR0000062855_rl_271_56">56</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_58">58</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_60">60</a>] in spouses of breast and ovarian cancer patients,[<a class="bk_pop" href="#CDR0000062855_rl_271_61">61</a>] and among
|
||
women in the general population.[<a class="bk_pop" href="#CDR0000062855_rl_271_62">62</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_64">64</a>] but underestimation of breast cancer risk in higher-risk and average-risk women also has been reported.[<a class="bk_pop" href="#CDR0000062855_rl_271_65">65</a>] This overestimation may encourage a belief that
|
||
<i>BRCA1/BRCA2</i> genetic testing will be more informative than it is currently thought
|
||
to be. Some evidence exists that even counseling does not dissuade women at
|
||
low to moderate risk from the belief that <i>BRCA1</i> testing could be valuable.[<a class="bk_pop" href="#CDR0000062855_rl_271_26">26</a>]
|
||
Overestimation of both breast and ovarian cancer risk has been associated with nonadherence to physician-recommended screening practices.[<a class="bk_pop" href="#CDR0000062855_rl_271_66">66</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_67">67</a>] A meta-analysis of 12 studies of outcomes of genetic counseling for breast/ovarian cancer showed that counseling improved the accuracy of risk perception.[<a class="bk_pop" href="#CDR0000062855_rl_271_68">68</a>]</p><p id="CDR0000062855__288">Women appear to be the prime communicators within families about the family
|
||
history of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_69">69</a>] Higher numbers of maternal versus paternal
|
||
transmission cases are reported,[<a class="bk_pop" href="#CDR0000062855_rl_271_70">70</a>] likely due to family communication
|
||
patterns, to the misconception that breast cancer risk can only be transmitted
|
||
through the mother, and to the greater difficulty in recognizing paternal
|
||
family histories because of the need to identify more distant relatives with
|
||
cancer. In an analysis of 2,505 women participating in the Family Healthware Impact Trial,[<a class="bk_pop" href="#CDR0000062855_rl_271_71">71</a>] not only was evidence of underreporting of paternal family history identified, but also women reported a lower level of perceived breast cancer risk with a paternal versus maternal breast cancer family history.[<a class="bk_pop" href="#CDR0000062855_rl_271_72">72</a>] Physicians and counselors taking a family history are encouraged to
|
||
elicit paternal and maternal family histories of breast, ovarian, or
|
||
other associated cancers.[<a class="bk_pop" href="#CDR0000062855_rl_271_69">69</a>]
|
||
</p><p id="CDR0000062855__289">The accuracy of reported family history of breast or ovarian cancer varies;
|
||
some studies found levels of accuracy above 90%,[<a class="bk_pop" href="#CDR0000062855_rl_271_73">73</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_74">74</a>] with others finding
|
||
more errors in the reporting of cancer in second-degree or more distant
|
||
relatives [<a class="bk_pop" href="#CDR0000062855_rl_271_75">75</a>] or in age of onset of cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_76">76</a>] Less accuracy has been found in the reporting of cancers other
|
||
than breast cancer. Ovarian cancer history was reported with 60% accuracy in
|
||
one study compared with 83% accuracy in breast cancer history.[<a class="bk_pop" href="#CDR0000062855_rl_271_77">77</a>] Providers
|
||
should be aware that there are a few published cases of Munchausen syndrome in
|
||
reporting of false family breast cancer history.[<a class="bk_pop" href="#CDR0000062855_rl_271_78">78</a>] Much more common is
|
||
erroneous reporting of family cancer history due to unintentional errors or
|
||
gaps in knowledge, related in some cases to the early death of potential
|
||
maternal informants about cancer family history.[<a class="bk_pop" href="#CDR0000062855_rl_271_69">69</a>]
|
||
(Refer to the <a href="/books/n/pdqcis/CDR0000062865/#CDR0000062865__188">Taking a Family History</a> section of the <a href="/books/n/pdqcis/CDR0000062865/">Cancer Genetics Risk Assessment and Counseling</a> summary for more information.)</p><p id="CDR0000062855__403">Targeted written,[<a class="bk_pop" href="#CDR0000062855_rl_271_79">79</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_80">80</a>] video, CD-ROM, interactive computer program,[<a class="bk_pop" href="#CDR0000062855_rl_271_81">81</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_85">85</a>] and culturally targeted educational materials [<a class="bk_pop" href="#CDR0000062855_rl_271_86">86</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_88">88</a>] may be effective and efficient methods of increasing knowledge about the pros and cons of genetic testing. Such supplemental materials may allow more efficient use of the time allotted for pretest education and counseling by genetics and primary care providers and may discourage individuals without appropriate indication of risk from seeking genetic testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_79">79</a>] </p></div><div id="CDR0000062855__290"><h3>Genetic Counseling for Hereditary Predisposition to Breast Cancer</h3><p id="CDR0000062855__291">Counseling for breast cancer risk typically involves individuals with family
|
||
histories that are potentially attributable to <i>BRCA1</i> or <i>BRCA2</i>. It also, however,
|
||
may include individuals with family histories of Li-Fraumeni syndrome, ataxia-telangiectasia, Cowden syndrome, or Peutz-Jeghers syndrome.[<a class="bk_pop" href="#CDR0000062855_rl_271_89">89</a>] (Refer to the <a href="#CDR0000062855__88">High-Penetrance Breast and/or Gynecologic Cancer Susceptibility Genes</a> section of this summary for more information.)
|
||
</p><p id="CDR0000062855__292">Management strategies for <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460132/" class="def">carriers</a> may involve decisions about the nature, frequency, and
|
||
timing of screening and surveillance procedures, chemoprevention, risk-reducing surgery, and use of
|
||
hormone replacement therapy (HRT). The utilization of breast conservation and
|
||
radiation as cancer therapy for women who are carriers may be influenced by knowledge of mutation status. (Refer to the <a href="#CDR0000062855__575">Clinical Management of BRCA Mutation Carriers</a> section of this summary for more information.)
|
||
</p><p id="CDR0000062855__293">Counseling also includes consideration of related psychosocial concerns and
|
||
discussion of planned family communication and the responsibility to warn other
|
||
family members about the possibility of having an increased risk of breast,
|
||
ovarian, and other cancers. Data are emerging that individual responses to being tested as adults are influenced by the results status of other family members.[<a class="bk_pop" href="#CDR0000062855_rl_271_90">90</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_91">91</a>] Management of anxiety and distress are important
|
||
not only as quality-of-life factors, but also because high anxiety may
|
||
interfere with the understanding and integration of complex genetic and medical
|
||
information and adherence to screening.[<a class="bk_pop" href="#CDR0000062855_rl_271_92">92</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_94">94</a>] The limited number of
|
||
medical interventions with proven benefit to mutation carriers provides further
|
||
basis for the expectation that mutation carriers may experience increased
|
||
anxiety, depression, and continuing uncertainty after disclosure of genetic
|
||
test results.[<a class="bk_pop" href="#CDR0000062855_rl_271_95">95</a>] Formal, objective evaluation of these outcomes are now
|
||
emerging. (Refer to the <a href="#CDR0000062855__298">Emotional Outcomes</a> and <a href="#CDR0000062855__332">Behavioral Outcomes</a> sections of this summary for more information.)
|
||
</p><p id="CDR0000062855__295">Published descriptions of counseling programs for <i>BRCA1</i> (and subsequently for
|
||
<i>BRCA2</i>) testing include strategies for gathering a family history, assessing
|
||
eligibility for testing, communicating the considerable volume of relevant
|
||
information about breast/ovarian cancer genetics and associated medical and
|
||
psychosocial risks and benefits, and discussion of specialized ethical
|
||
considerations about confidentiality and family communication.[<a class="bk_pop" href="#CDR0000062855_rl_271_96">96</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_103">103</a>]
|
||
Participant distress, intrusive thoughts about cancer, coping style, and social
|
||
support were assessed in many prospective testing candidates. The psychosocial
|
||
outcomes evaluated in these programs have included changes in knowledge about
|
||
the genetics of breast/ovarian cancer after counseling, risk comprehension,
|
||
psychological adjustment, family and social functioning, and reproductive and
|
||
health behaviors.[<a class="bk_pop" href="#CDR0000062855_rl_271_104">104</a>] A Dutch study of communication processes and satisfaction levels of counselees going through cancer genetic counseling for inherited cancer syndromes indicated that asking more medical questions (by the counselor), providing more psychosocial information, and longer eye contact by the counselor were associated with lower satisfaction levels. The provision of medical information by the counselor was most highly related to satisfaction and perception that needs have been fulfilled.[<a class="bk_pop" href="#CDR0000062855_rl_271_105">105</a>] Additional research is needed on how to adequately address the emotional needs and feelings of control of counselees.
|
||
</p><p id="CDR0000062855__296">Many of the psychosocial outcome studies involve specialized, highly selected
|
||
research populations, some of which were utilized to map and clone <i>BRCA1</i> and
|
||
<i>BRCA2</i>. One such example is K2082, an extensively studied kindred of more than 800
|
||
members of a Utah Mormon family in which a <i>BRCA1</i> mutation accounts for the
|
||
observed increased rates of breast and ovarian cancer. A study of the
|
||
understanding that members of this kindred have about breast/ovarian cancer
|
||
genetics found that, even in breast cancer research populations, there was
|
||
incomplete knowledge about associated risks of colon and prostate cancer, the
|
||
existence of options for risk-reducing mastectomy (RRM) and risk-reducing salpingo-oophorectomy (RRSO),
|
||
and the complexity of existing psychosocial risks.[<a class="bk_pop" href="#CDR0000062855_rl_271_96">96</a>]
|
||
A meta-analysis of 21 studies found that genetic counseling was effective in increasing knowledge and improved the accuracy of perceived risk. Genetic counseling did not have a statistically significant long-term impact on affective outcomes including anxiety, distress, or cancer-specific worry and the behavioral outcome of cancer surveillance activities.[<a class="bk_pop" href="#CDR0000062855_rl_271_51">51</a>] These prospective studies, however, were characterized by a heterogeneity of measures of cancer-specific worry and inconsistent findings in effects of change from baseline.[<a class="bk_pop" href="#CDR0000062855_rl_271_51">51</a>]</p><p id="CDR0000062855__297">It is not yet clearly established to what extent findings derived from special
|
||
research populations, at least some of which have long awaited genetic testing
|
||
for breast/ovarian cancer risk, are generalizable to other populations. For
|
||
example, there are data to suggest that the <i>BRCA1/BRCA2</i>
|
||
<a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000339344/" class="def">penetrance</a> estimates
|
||
derived from these dramatically affected families are substantial overestimates
|
||
and do not apply to most families presenting for counseling and
|
||
possible testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_106">106</a>]</p></div><div id="CDR0000062855__298"><h3>Emotional Outcomes</h3><p id="CDR0000062855__299">Studies conducted to date of psychological outcomes associated with
|
||
genetic testing for mutations in breast/ovarian cancer <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460208/" class="def">predisposition genes</a> have shown
|
||
low levels of distress among those found to be carriers and even lower levels
|
||
among <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556483/" class="def">noncarriers</a>.[<a class="bk_pop" href="#CDR0000062855_rl_271_79">79</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_107">107</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_110">110</a>] A systematic review found that the studies assessing
|
||
measures of distress (9 of 11 studies) found no change, or a decrease, in those
|
||
parameters (including anxiety, depression, general distress, and situation
|
||
distress) in people who had undergone testing at assessments done at 1 month or
|
||
less, and 3 to 6 months later.[<a class="bk_pop" href="#CDR0000062855_rl_271_111">111</a>] One follow-up study from the United Kingdom measured levels of cancer-related worry, general mental health, risk perception, intrusive or avoidant thoughts, and risk-management behaviors at baseline and 1, 4, and 12 months after results were provided. This study included 202 unaffected women and 59 unaffected men, of whom 91 tested positive and 170 tested negative. Results showed that while female noncarriers had significant (<i>P</i> < .001) reductions in cancer-related worry, female carriers younger than 50 years had an increase in cancer-related worry 1 month posttesting. These levels returned to baseline by 12 months but remained higher than noncarrier levels throughout the 12-month period. Female carriers engaged in more posttest screening than noncarriers (92% vs. 30%) within 12 months of test results disclosure. Thirty carriers had RRM and/or RRSO within the same time period.[<a class="bk_pop" href="#CDR0000062855_rl_271_112">112</a>] A slightly smaller subset of this cohort was assessed again for cancer-related worry, general mental health, and risk-management behaviors 3 years after genetic test result disclosure. Among those who returned the questionnaire were 154 women and 39 males, including 71 carriers and 122 noncarriers. The level of distress and cancer worry was similar between carriers and noncarriers. Female carriers had higher distress levels at 3 years versus 1 year postdisclosure, but their level of cancer worry decreased significantly over the same time period. In female noncarriers, although the level of cancer worry had decreased from baseline to 1 year postdisclosure, these levels returned to baseline by 3 years.[<a class="bk_pop" href="#CDR0000062855_rl_271_113">113</a>] The authors did not comment on contextual factors that might influence distress and cancer worry levels. Another study reported that, compared with pretest levels, mean scores on 1-year posttest measures of cancer-specific distress and state-anxiety decreased significantly among noncarriers, while scores on these measures and on a measure of general distress did not change among <i>BRCA1/BRCA2</i> carriers.[<a class="bk_pop" href="#CDR0000062855_rl_271_114">114</a>] One long-term study of 65 female participants explored the psychosocial consequences of carrying a <i>BRCA1/BRCA2</i> mutation 5 years after genetic testing. Carriers did not differ from noncarriers on several distress measures. Although both groups showed significant increases in depression and anxiety compared with 1 year postdisclosure, these scores remained within normal limits for the general population.[<a class="bk_pop" href="#CDR0000062855_rl_271_115">115</a>] Caution is advised by authors of these studies in interpretation of
|
||
the results as they are all from programs in which results disclosure was
|
||
preceded by extensive genetic counseling about risks and benefits of <i>BRCA1</i>/<i>BRCA2</i>
|
||
testing, psychological assessment, and in some cases exclusion of a few
|
||
individuals who appeared highly distressed.[<a class="bk_pop" href="#CDR0000062855_rl_271_96">96</a>] Intrusive thoughts (measured
|
||
by the Impact of Event Scale [IES]) [<a class="bk_pop" href="#CDR0000062855_rl_271_116">116</a>] about cancer diminished after results
|
||
disclosure for both mutation-positive and mutation-negative individuals in one
|
||
Dutch study.[<a class="bk_pop" href="#CDR0000062855_rl_271_117">117</a>]</p><p id="CDR0000062855__2470">Some studies have examined reactions to <i>BRCA</i> testing several years after the receipt of results. Two U.S.-based studies have reported similar findings among women who were surveyed more than 3 years after receipt of <i>BRCA</i> test results.[<a class="bk_pop" href="#CDR0000062855_rl_271_118">118</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_119">119</a>] In a cross-sectional study,[<a class="bk_pop" href="#CDR0000062855_rl_271_118">118</a>] 167 women who were surveyed more than 4 years after receiving <i>BRCA</i> test results reported low levels of genetic testing–specific concerns, as measured using the Multidimensional Impact of Cancer Risk Assessment Scale.[<a class="bk_pop" href="#CDR0000062855_rl_271_120">120</a>] Approximately 74% of women reported no distress; 41% reported no uncertainty about their cancer risk, screening decisions, and options for risk management and prevention; and 51% reported positive experiences suggestive of low adverse reactions pertaining to family support and communication.[<a class="bk_pop" href="#CDR0000062855_rl_271_118">118</a>] In multivariate regression models, mutation carriers were significantly more likely to experience distress than were noncarriers. Time since disclosure of test result significantly predicted uncertainty but not distress, such that more time since disclosure corresponded to less uncertainty. In a second study, 464 women were followed prospectively for a median of 5 years (range: 3.4–9.1 years) after testing. Among both affected and unaffected participants, <i>BRCA</i> carriers reported significantly higher levels of distress, uncertainty (affected only), perceived stress (affected only), and lower positive testing experiences (unaffected only) than women who received negative results.[<a class="bk_pop" href="#CDR0000062855_rl_271_119">119</a>] Although both studies reported greater distress among <i>BRCA</i> carriers than among noncarriers, the level of distress was not reflective of clinically significant dysfunction. </p><p id="CDR0000062855__934">A prospective Australian study evaluated the psychological impact of genetic testing at baseline, 7 to 10 days, 4 months, and 12 months in 60 women of AJ heritage (10 with breast cancer, 50 unaffected). Of the 43 women who opted to learn their test results, 97% felt pleased to have had the test and, at 12 months of follow-up, none regretted having been tested. Seventeen women opted not to receive their results and had significantly lower levels of breast cancer anxiety than did those who opted to receive their results. Women with no history of cancer who opted to learn their results showed a progressive decrease in breast cancer anxiety over the 12-month study period compared with baseline measures. There was also no statistically significant difference in measures of depression and generalized anxiety from baseline to the follow-up assessments.[<a class="bk_pop" href="#CDR0000062855_rl_271_121">121</a>] However, only 7 of 43 women had <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556486/" class="def">deleterious mutations</a>, which may influence interpretation of test results.</p><p id="CDR0000062855__660">Despite generally positive findings regarding diminished distress in tested individuals, most studies also report increased distress among small subsets of tested individuals. Most, but not all, of these increases are within the normal range of distress. Increased distress has been noted by individuals receiving both positive and negative test results. Studies suggest that the psychological impact of an individual test result is highly influenced by the test result status of other family members. A 1999 study found that an individual’s response to learning his or her own <i>BRCA1/BRCA2</i> test result was significantly influenced by his or her gender and by the genetic test result status of other family members. Adverse, immediate outcomes were experienced by male carriers who were the first tested in their family or by noncarrier men whose siblings were all positive.
|
||
In addition, female carriers who were the first in their families to be tested or whose siblings were all negative had significantly higher distress than other female carriers.[<a class="bk_pop" href="#CDR0000062855_rl_271_90">90</a>] Another study found that spousal anxiety about genetic testing and supportiveness differentiated the impact of <i>BRCA1/BRCA2</i> test results. When the spouse was highly anxious and unsupportive in style, the mutation carrier had significantly higher levels of distress. These studies illustrate that genetic test results are not received in a vacuum, and that researchers need to consider the context of the tested individual in determining which individuals applying for genetic testing may require additional emotional support.[<a class="bk_pop" href="#CDR0000062855_rl_271_91">91</a>] </p><p id="CDR0000062855__300">In another study, depression rates postdisclosure were unchanged for mutation
|
||
carriers and markedly decreased for noncarriers.[<a class="bk_pop" href="#CDR0000062855_rl_271_36">36</a>] An analysis of the
|
||
distress of individuals receiving <i>BRCA1</i> results in the context of their siblings'
|
||
results, however, revealed patterns of response suggesting that certain
|
||
subgroups of tested individuals have markedly increased levels of distress
|
||
after disclosure that were not apparent when the analysis focused only on
|
||
comparing the mean scores for carriers versus noncarriers.[<a class="bk_pop" href="#CDR0000062855_rl_271_90">90</a>] Early
|
||
optimistic findings may not sufficiently reflect the true complexity of
|
||
response to disclosure of <i>BRCA1/BRCA2</i> test results. Female carriers who had no
|
||
carrier siblings had distress scores (IES) similar to those found in cancer
|
||
patients 10 weeks after their diagnosis. The distress of male subjects was
|
||
highly correlated with the status of their siblings’ test results or lack
|
||
thereof.[<a class="bk_pop" href="#CDR0000062855_rl_271_90">90</a>] One pilot study suggested that women diagnosed more recently were
|
||
more distressed after counseling.[<a class="bk_pop" href="#CDR0000062855_rl_271_122">122</a>] A survey of women enrolled in a high-risk clinic found that heightened levels of distress may be more related to living with the awareness of a familial risk of cancer than with the genetic testing process itself. Obtaining genetic testing may be less stressful than living with the awareness of familial risk of cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_123">123</a>] (Refer to the PDQ Supportive Care summaries on <a href="/books/n/pdqcis/CDR0000062739/">Depression</a> and <a href="/books/n/pdqcis/CDR0000062891/">Adjustment to Cancer: Anxiety and Distress</a> for more detailed information about depression and anxiety associated with a cancer diagnosis.) Case descriptions have supported the
|
||
importance of family relationships and test outcomes in shaping the distress of
|
||
tested individuals.[<a class="bk_pop" href="#CDR0000062855_rl_271_124">124</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_125">125</a>]
|
||
</p><p id="CDR0000062855__404">Although there are not yet reports of large-scale studies of the reactions of affected individuals to genetic testing, there are indications from several smaller studies that affected individuals who undergo genetic counseling and testing experience more distress than had been expected by professionals [<a class="bk_pop" href="#CDR0000062855_rl_271_126">126</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_127">127</a>] and are less able themselves to anticipate the intensity of their reactions after result disclosure.[<a class="bk_pop" href="#CDR0000062855_rl_271_128">128</a>] Female mutation carriers who have had breast cancer are often surprised by their high risk of ovarian cancer. Women mutation carriers who have had breast cancer worried more than unaffected women about developing ovarian cancer, though, in general, worry about ovarian cancer risk was found to be unrealistically low.[<a class="bk_pop" href="#CDR0000062855_rl_271_127">127</a>] In addition, some distress related to the burden of conveying genetic information to relatives has been noted among those who are the first in their families to be tested.[<a class="bk_pop" href="#CDR0000062855_rl_271_126">126</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_129">129</a>]</p><p id="CDR0000062855__1935">The long-term effect of uninformative <i>BRCA1/BRCA2</i> test results (<i>BRCA1/BRCA2</i> negative, negative on a panel of three Ashkenazi founder mutations, or detecting a variant of uncertain significance) was examined in 209 women recruited from one of two comprehensive cancer centers or a community hospital.[<a class="bk_pop" href="#CDR0000062855_rl_271_130">130</a>] These women had a personal history of breast or ovarian cancer and were assessed at pretesting, 1-, 6-, and 12-months postdisclosure. Distress was low at each time point, and declined from pretest to post-disclosure, remaining stable and low thereafter. No clinical cut-offs were reported. Those who reported higher general distress associated with cancer risk, risk-reduction efforts, and family communication and lower confidence in dealing with these issues, and those who expected to carry a deleterious mutation, had greater decisional conflict related to managing their cancer risk through 1-year posttest. In another study of 182 women drawn from this sample, most (84%) had made a risk management decision within 6 months of test result disclosure. Those who were delayed in making a risk management decision reported greater feelings of decisional uncertainty, dissatisfaction, and lack of confidence, yet there was also a high level of reported decisional conflict even among those who were early or intermediate decision-makers. Increased depression levels postdisclosure predicted increased risk of delay in risk management decision-making.[<a class="bk_pop" href="#CDR0000062855_rl_271_131">131</a>]</p><p id="CDR0000062855__630">Several studies have compared the provision of breast cancer genetics services by different providers and the psychological impact on women at high and low risk of cancer. In a study of 735 women at all hereditary breast/ovarian cancer risk levels, the services of a multidisciplinary team of genetics specialists was compared with services provided by surgeons. There were no significant differences between groups in anxiety, cancer worry, or perceived risk.[<a class="bk_pop" href="#CDR0000062855_rl_271_132">132</a>] In a Scottish study of 373 participants, an alternative model of cancer genetics services using genetics nurse specialists in community-based services was compared with standard genetics regional services. There was no difference in cancer worry or change in health behaviors between the two groups. Cancer worry decreased for both groups over a 6-month period. Women who dropped out of the study tended to be in the nurse provider arm or were at low risk of breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_133">133</a>] In a small U.S. study, an evaluation of nurses and genetic counselors as providers of education about breast cancer susceptibility testing was conducted to compare outcomes of pretest education about breast cancer susceptibility. Four genetic counselors and two nurses completed specialized training in cancer genetics. Women receiving pretest education from nurses were as satisfied with information received and had equal degrees of perceived autonomy and partnership. The study findings suggest that with proper training and supervision, both genetic counselors and nurses can be effective in providing pretest education to women considering genetic susceptibility testing for breast cancer risk.[<a class="bk_pop" href="#CDR0000062855_rl_271_134">134</a>]</p><p id="CDR0000062855__301">There has been little empirical research in the communication of risk
|
||
assessments to individuals at risk of breast/ovarian cancer syndromes. When
|
||
asked to choose a preferred method, individuals undergoing genetic counseling
|
||
for breast and ovarian cancer appear to prefer quantitative to qualitative
|
||
presentation of risk information.[<a class="bk_pop" href="#CDR0000062855_rl_271_135">135</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_136">136</a>] One study indicated that most women wanted information given both ways.[<a class="bk_pop" href="#CDR0000062855_rl_271_58">58</a>] Information about the risk of
|
||
developing breast cancer among women with a family history of breast cancer may
|
||
be more accurately recalled when presented as odds ratios (ORs), rather than in other
|
||
forms.[<a class="bk_pop" href="#CDR0000062855_rl_271_137">137</a>] </p><p id="CDR0000062855__1358">There is a small but growing body of literature on the use of decision aids as an adjunct to standard genetic counseling to assist patients in making informed decisions about genetic testing. One study measured the effectiveness of a decision aid for <i>BRCA1/BRCA2</i> genetic testing given to women at the end of their first genetic counseling consultation. At 1 week and 6 months follow-up, the decision aid had no effect on informed choice, decisional regret, or actual genetic testing decision. However, women who received the decision aid had significantly higher knowledge levels and felt more informed about genetic testing than women who received the control pamphlet. The decision aid also helped those women who did not have their blood drawn for genetic testing at the first visit to clarify their values about their testing decision.[<a class="bk_pop" href="#CDR0000062855_rl_271_138">138</a>] </p><p id="CDR0000062855__302">Preferences for delivery of breast cancer genetic testing are reported in one
|
||
study [<a class="bk_pop" href="#CDR0000062855_rl_271_136">136</a>] to include pretest counseling conducted by a genetic counselor (42%) or
|
||
oncologist (22%) rather than by a primary care physician (6%), nurse (12%), or
|
||
gynecologist (5%). Patients in that study preferred results disclosure by an
|
||
oncologist. Younger women especially expressed a need for individual
|
||
consideration of their personal values and goals or potential emotional
|
||
reactions to testing; 67% believed emotional support and counseling were a
|
||
necessary part of posttest counseling. Most women (82%) wanted to
|
||
be able to self-refer for genetic testing, without a physician referral.
|
||
</p></div><div id="CDR0000062855__303"><h3>Family Effects</h3><div id="CDR0000062855__964"><h4>Family communication about genetic testing and hereditary risk</h4><p id="CDR0000062855__304">Family communication about genetic testing for cancer susceptibility, and
|
||
specifically about the results of <i>BRCA1/BRCA2</i> genetic testing, is complex; there are
|
||
few systematic data available on this topic. Gender appears to be an important variable in family communication and psychological outcomes. One
|
||
study documented that female carriers are more likely to disclose their status
|
||
to other family members (especially sisters and children aged 14–18 years) than
|
||
are male carriers.[<a class="bk_pop" href="#CDR0000062855_rl_271_139">139</a>] Among males, noncarriers were more likely than carriers
|
||
to tell their sisters and children the results of their tests. <i>BRCA1/BRCA2</i>
|
||
carriers who disclosed their results to sisters had a slight decrease in
|
||
psychological distress, compared with a slight increase in distress for carriers
|
||
who chose not to tell their sisters. One study found that men reported greater difficulty disclosing mutation-positive results to family members than women (90% vs. 70%).[<a class="bk_pop" href="#CDR0000062855_rl_271_140">140</a>]</p><p id="CDR0000062855__935">Family communication of <i>BRCA1/BRCA2</i> test results to relatives is another factor affecting participation in testing. There have been more studies of communication with <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460150/" class="def">first-degree relatives</a> and <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000485395/" class="def">second-degree relatives</a> than with more distant family members. One study investigated the process and content of communication among sisters about <i>BRCA1/BRCA2</i> test results.[<a class="bk_pop" href="#CDR0000062855_rl_271_141">141</a>] Study results suggest that both mutation carriers and women with uninformative results communicate with sisters to provide them with genetic risk information. Among relatives with whom genetic test results were not discussed, the most important reason given was that the affected women were not close to their relatives. Studies found that women with a <i>BRCA</i> mutation more often shared their results with their mother and adult sisters and daughters than with their father and adult brothers and sons.[<a class="bk_pop" href="#CDR0000062855_rl_271_69">69</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_142">142</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_145">145</a>] A study that evaluated communication of test results to first-degree relatives at 4 months postdisclosure found that women aged 40 years or older were more likely to inform their parents of test results compared with younger women. Participants also were more likely to inform brothers of their results if the <i>BRCA</i> mutation was inherited through the paternal line.[<a class="bk_pop" href="#CDR0000062855_rl_271_143">143</a>] Another study found that disclosure was limited mainly to first-degree relatives, and dissemination of information to distant relatives was problematic.[<a class="bk_pop" href="#CDR0000062855_rl_271_146">146</a>] Age was a significant factor in informing distant relatives with younger patients being more willing to communicate their genetic test result.[<a class="bk_pop" href="#CDR0000062855_rl_271_141">141</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_142">142</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_146">146</a>] </p><p id="CDR0000062855__790">A few in-depth qualitative studies have looked at issues associated with family communication about genetic testing. Although the findings from these studies may not be generalizable to the larger population of at-risk persons, they illustrate the complexity of issues involved in conveying hereditary cancer risk information in families.[<a class="bk_pop" href="#CDR0000062855_rl_271_147">147</a>] On the basis of 15 interviews conducted with women attending a familial cancer genetics clinic, the authors concluded that while women felt a sense of duty to discuss genetic testing with their relatives, they also experienced conflicting feelings of uncertainty, respect, and isolation. Decisions about whom in the family to inform and how to inform them about hereditary cancer and genetic testing may be influenced by tensions between women's need to fulfill social roles and their responsibilities toward themselves and others.[<a class="bk_pop" href="#CDR0000062855_rl_271_147">147</a>] Another qualitative study of 21 women who attended a familial breast and ovarian cancer genetics clinic suggested that some women may find it difficult to communicate about inherited cancer risk with their partners and with certain relatives, especially brothers, because of those persons’ own fears and worries about cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_145">145</a>] This study also suggested that how genetic risk information is shared within families may depend on the existing norms for communicating about cancer in general. For example, family members may be generally open to sharing information about cancer with each other, may selectively avoid discussing cancer information with certain family members to protect themselves or other relatives from negative emotional reactions, or may ask a specific relative to act as an intermediary to disclosure of information to other family members.[<a class="bk_pop" href="#CDR0000062855_rl_271_148">148</a>] The potential importance of persons outside the family, such as friends, as both confidantes about inherited cancer risk information and as sources of support for coping with this information was also noted in the study.[<a class="bk_pop" href="#CDR0000062855_rl_271_145">145</a>] </p><p id="CDR0000062855__1403">A study of 31 mothers with a documented <i>BRCA</i> mutation explored patterns of dissemination to children.[<a class="bk_pop" href="#CDR0000062855_rl_271_149">149</a>] Of those who chose to disclose test results to their children, age of offspring was the most important factor. Fifty percent of the children who were told were aged 20 to 29 years and slightly more than 25% of the children were aged 19 years or younger. Sons and daughters were notified in equal numbers. More than 70% of mothers informed their children within a week of learning their test result. Ninety-three percent of mothers who chose not to share their results with their children indicated that it was because their children were too young. These findings were consistent with three other studies showing that children younger than 13 years were less likely to be informed about test
|
||
results compared with older children.[<a class="bk_pop" href="#CDR0000062855_rl_271_143">143</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_150">150</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_151">151</a>] Another study of 187 mothers undergoing <i>BRCA1/BRCA2</i> testing evaluated their need for resources to prepare for a facilitated conversation about sharing their <i>BRCA1/BRCA2</i> testing results with their children. Seventy-eight percent of mothers were interested in three or more resources, including literature (93%), family counseling (86%), talk to prior participants (79%), and support groups (54%).[<a class="bk_pop" href="#CDR0000062855_rl_271_150">150</a>]</p><p id="CDR0000062855__1019">A longitudinal study of 153 women self-referred for genetic testing for <i>BRCA1</i> and <i>BRCA2</i> mutations and 118 of their partners evaluated communication about genetic testing and distress before testing and at 6 months
|
||
posttesting.[<a class="bk_pop" href="#CDR0000062855_rl_271_152">152</a>] The study found that most couples discussed the decision to undergo testing (98%), most test participants felt their partners were supportive, and most women disclosed test results to their partners (97%, n = 148). Test participants who felt their partners were supportive during pretest discussions experienced less distress after disclosure, and
|
||
partners who felt more comfortable sharing concerns with test participants pretest experienced less distress after disclosure. Six-month follow-up revealed that 22% of participants felt the need to talk about the testing experience with their partners in the week before the interview. Most participants (72%, n = 107) reported comfort in sharing concerns with their partners, and 5% (n = 7) reported relationship strain as a result of genetic testing. In couples in which the woman had a positive genetic test result, more relationship strain, more protective buffering of their partners, and more discussion of related concerns were reported than in couples in which the woman had a true-negative or uninformative result.[<a class="bk_pop" href="#CDR0000062855_rl_271_152">152</a>]</p><p id="CDR0000062855__632">There is a small but growing body of literature regarding psychological effects in men who have a family history of breast cancer and who are considering or have had <i>BRCA</i> testing. A qualitative study of 22 men from 16 high-risk families in Ireland revealed that more men in the study with daughters were tested than men without daughters. These men reported little communication with relatives about the illness, with some men reporting being excluded from discussion about cancer
|
||
among female family members. Some men in the study also reported actively avoiding open discussion with daughters and other relatives.[<a class="bk_pop" href="#CDR0000062855_rl_271_153">153</a>] In contrast, a study of 59 men testing positive for a <i>BRCA1/BRCA2</i> mutation found that most men participated in family discussions about breast and/or ovarian cancer. However, fewer than half of the men participated in family discussions about risk-reducing surgery. The main reason given for having <i>BRCA</i> testing was concern for their children and a need for certainty about whether they could have transmitted the mutation to their children. In this study, 79% of participating men had at least one daughter. Most of these men described how their relationships had been strengthened after receipt of <i>BRCA</i> results, helping communication in the family and greater understanding.[<a class="bk_pop" href="#CDR0000062855_rl_271_154">154</a>] Men in both studies expressed fears of developing cancer themselves. Irish men especially reported
|
||
fear of cancer in sexual organs.</p></div><div id="CDR0000062855__969"><h4>Family functioning</h4><p id="CDR0000062855__936">One study assessed 212 individuals from 13 hereditary breast and ovarian cancer families who received genetic counseling and were offered <i>BRCA1/BRCA2</i> testing for documented mutation in the family. Individuals who were not tested were found 6 to 9 months later to have significantly greater increases in family expressiveness and cohesiveness compared with those who were tested. Persons who were randomly assigned to a client-centered versus problem-solving genetic counseling intervention had a significantly greater reduction in conflict, regardless of the test decision.[<a class="bk_pop" href="#CDR0000062855_rl_271_39">39</a>]</p></div><div id="CDR0000062855__1382"><h4>Partners of high-risk women</h4><p id="CDR0000062855__1384">Many studies have looked at the psychological effects in women of having a high risk of developing cancer, either on the basis of carrying a <i>BRCA1/BRCA2</i> mutation or having a strong family history of cancer. Some studies have also examined the effects on the partners of such women. </p><p id="CDR0000062855__1395">A Canadian study assessed 59 spouses of women found to have a <i>BRCA1/BRCA2</i> mutation. All were supportive of their spouses’ decision to undergo genetic testing and 17% wished they had been more involved in the genetic testing process. Spouses who reported that genetic testing had no impact on their relationship had long-term relationships (mean duration 27 years). Forty-six percent of spouses reported that their major concern was of their partner dying of cancer. Nineteen percent were concerned their spouse would develop cancer and 14% were concerned their children would also be <i>BRCA1/BRCA2</i> mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_271_155">155</a>]</p><p id="CDR0000062855__1396">In a U.S. study, 118 partners of women who underwent genetic testing for mutations in <i>BRCA1</i> and <i>BRCA2</i> completed a survey before testing and then again 6 months after result disclosure. At 6 months, only 10 partners reported that they had not been told of the test result. Ninety-one percent reported that the testing had not caused strain on their relationship. Partners who were comfortable sharing concerns before testing experienced less distress after testing. Protective buffering was not found to impact distress levels of partners.[<a class="bk_pop" href="#CDR0000062855_rl_271_152">152</a>]</p><p id="CDR0000062855__1383">An Australian study of 95 unaffected women at high risk of developing breast and/or ovarian cancer (13 mutation carriers and 82 with unknown mutation status) and their partners showed that although the majority of male partners had distress levels comparable to a normative population sample, 10% had significant levels of distress that indicated the need for further clinical intervention. Men with a high monitoring coping style and greater perceived breast cancer risk for their wives reported higher levels of distress. Open communication between the men and their partners and the occurrence of a cancer-related event in the wife’s family in the last year were associated with lower distress levels. When men were asked what kind of information and support they would like for themselves and their partners, 57.9% reported that they would like more information about breast and ovarian cancer, and 32.6% said they would like more support in dealing with their partner's risk. Twenty-five percent of men had suggestions on how to improve services for partners of high-risk women, including strategies on how to best support their partner, greater encouragement from health care professionals to attend appointments, and meeting with other partners.[<a class="bk_pop" href="#CDR0000062855_rl_271_156">156</a>] </p><p id="CDR0000062855__1968">A review of this literature reported that the <i>BRCA</i> testing process may be distressing for male partners, particularly for those with spouses identified as carriers. Male partner distress appears to be associated with their beliefs about the woman’s breast cancer risk, lack of couple communication, and feelings of alienation from the testing process.[<a class="bk_pop" href="#CDR0000062855_rl_271_157">157</a>]</p><div id="CDR0000062855__970"><h5>At-risk males</h5><p id="CDR0000062855__1573">A review of the literature on the experiences of males in <i>BRCA1</i> and <i>BRCA2</i> mutation–positive families reported that while the data are limited, men from mutation-positive families are less likely than females to participate in communication regarding genetics at every level, including the counseling and testing process. Men are less likely to be informed of genetic test results received by female relatives, and most men from these families do not pursue their own genetic testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_158">158</a>]</p><p id="CDR0000062855__633">A study of Dutch men at increased risk of having inherited a <i>BRCA1</i> mutation reported a tendency for the men to deny or minimize the emotional effects of their risk status, and to focus on medical implications for their female relatives. Men in these families, however, also reported considerable distress in relation to their female relatives.[<a class="bk_pop" href="#CDR0000062855_rl_271_159">159</a>] In another study of male psychological functioning during breast cancer testing, 28 men belonging to 18 different high-risk families (with a 25% or 50% risk of having inherited a <i>BRCA1/BRCA2</i> mutation) participated. The study purpose was to analyze distress in males at risk of carrying a <i>BRCA1/BRCA2</i> mutation who
|
||
applied for genetic testing. Of the men studied, most had low
|
||
pretest distress; scores were lowest for men who were optimistic or who did not have daughters. Most mutation carriers had normal levels of anxiety and depression and reported no guilt, though some anticipated increased distress and feelings of responsibility if their daughters developed breast or ovarian cancer. None of the noncarriers reported feeling guilty.[<a class="bk_pop" href="#CDR0000062855_rl_271_160">160</a>] In one study,[<a class="bk_pop" href="#CDR0000062855_rl_271_154">154</a>] adherence to recommended screening guidelines after testing was analyzed. In this study, more than half of male carriers of mutations did not adhere to the screening guidelines recommended after disclosure of genetic test results. These findings are consistent with those for female carriers of <i>BRCA1/BRCA2</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_271_154">154</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_161">161</a>]</p><p id="CDR0000062855__1404">A multicenter U.K. cohort study examined prospective outcomes of <i>BRCA1/BRCA2</i> testing in 193 individuals, of which 20% were men aged 28 to 86 years. Men’s distress levels were low, did not differ among carriers and noncarriers, and did not change from baseline (before genetic testing) to the 3-year follow-up. Twenty-two percent of male mutation carriers received colorectal cancer screening and 44% received prostate cancer screening;[<a class="bk_pop" href="#CDR0000062855_rl_271_113">113</a>] however, it is unclear whether men in this study were following age-appropriate screening guidelines.</p></div></div><div id="CDR0000062855__972"><h4>Children</h4><p id="CDR0000062855__1405">Several studies have explored communication of <i>BRCA</i> test results to at-risk children. Across all studies, the rate of disclosure to children ranging in age from 4 to 25 years is approximately 50%.[<a class="bk_pop" href="#CDR0000062855_rl_271_142">142</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_143">143</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_146">146</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_150">150</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_162">162</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_165">165</a>] In general, age of offspring was the most important factor in deciding whether to disclose test results. In one study of 31 mothers disclosing their <i>BRCA</i> test results, 50% of the children who were informed of the results were aged 20 to 29 years and slightly more than 25% of the children were aged 19 years or younger. Sons and daughters were notified in equal numbers.[<a class="bk_pop" href="#CDR0000062855_rl_271_149">149</a>] Similarly, in another study of 42 female <i>BRCA</i> mutation carriers, 83% of offspring older than age 18 years were told of the results, while only 21% of offspring aged 13 years or younger were told.[<a class="bk_pop" href="#CDR0000062855_rl_271_150">150</a>] </p><p id="CDR0000062855__1409">Several studies have also looked at the timing of disclosure to children after parents receive their test results. Although the majority of children were told within a week to several months after results disclosure,[<a class="bk_pop" href="#CDR0000062855_rl_271_143">143</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_149">149</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_150">150</a>] some parents chose to delay disclosure.[<a class="bk_pop" href="#CDR0000062855_rl_271_150">150</a>] Reasons for delaying disclosure included waiting for the child to get older, allowing time for the parent to adjust to the information, and waiting until results could be shared in person (in the case of adult children living away from home).[<a class="bk_pop" href="#CDR0000062855_rl_271_150">150</a>] </p><p id="CDR0000062855__1406">One study looked at the reaction of children to results disclosure or the effect on the parent-child relationship of communicating the results.[<a class="bk_pop" href="#CDR0000062855_rl_271_150">150</a>] With regard to offspring’s understanding of the information, almost half of parents from one study reported that their child did not appear to understand the significance of a positive test result, although older children were reported to have a better understanding. This same study also showed that 48% of parents reported at least one negative reaction in their child, ranging from anxiety or concern (22%) to crying and fear (26%). It should be noted, however, that in this study children's level of understanding and reactions to the test result were measured qualitatively and based only on the parents' perception. Also, given the retrospective design of the study, there was a potential for recall bias. There were no significant differences in emotional reaction depending on age or gender of the child. Lastly, 65% of parents reported no change in their relationship with their child, while 5 parents (22%) reported a strengthening of their relationship. </p><p id="CDR0000062855__1407">Another study of 187 mothers undergoing <i>BRCA1/BRCA2</i> testing evaluated their need for resources to prepare for a facilitated conversation about sharing their <i>BRCA1/BRCA2</i> testing results with their children. Seventy-eight percent of mothers were interested in three or more resources, including literature (93%), family counseling (86%), talking to prior participants (79%), and support groups (54%).[<a class="bk_pop" href="#CDR0000062855_rl_271_166">166</a>]</p><p id="CDR0000062855__306">Testing for <i>BRCA1/BRCA2</i> has been almost universally limited to adults older than 18
|
||
years. The risks of testing children for adult-onset disorders (such as breast
|
||
and ovarian cancer), as inferred from developmental data on children’s medical
|
||
understanding and ability to provide informed consent, have been outlined in
|
||
several reports.[<a class="bk_pop" href="#CDR0000062855_rl_271_40">40</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_43">43</a>] Surveys of parental interest in testing children
|
||
for adult-onset hereditary cancers suggest that parents are more eager to
|
||
test their children than to be tested themselves for a breast cancer gene,
|
||
suggesting potential conflicts for providers.[<a class="bk_pop" href="#CDR0000062855_rl_271_167">167</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_168">168</a>] In a general population
|
||
survey in the United States, 71% of parents said that it was moderately, very,
|
||
or extremely likely that if they carried a breast-cancer predisposing mutation,
|
||
they would test a 13-year-old daughter now to determine her breast cancer
|
||
gene status.[<a class="bk_pop" href="#CDR0000062855_rl_271_167">167</a>] To date, no data exist on the testing of children for
|
||
<i>BRCA1/BRCA2</i>, though some researchers believe it is necessary to test the validity
|
||
of assumptions underlying the general prohibition of testing of children for
|
||
breast/ovarian cancer and other adult-onset disease genes.[<a class="bk_pop" href="#CDR0000062855_rl_271_46">46</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_48">48</a>] In one study, 20 children (aged 11–17 years) of a selected group of mothers undergoing genetic testing (80% of whom previously had breast cancer and all of whom had discussed <i>BRCA1/BRCA2</i> testing with their children) completed self-report questionnaires on their health beliefs and attitudes toward cancer, feelings related to cancer, and behavioral problems.[<a class="bk_pop" href="#CDR0000062855_rl_271_49">49</a>] Ninety percent of children thought they would want cancer risk information as adults; half worried about themselves or a family member developing cancer. There was no evidence of emotional distress or behavioral problems. Another study by this group [<a class="bk_pop" href="#CDR0000062855_rl_271_164">164</a>] found that 1 month after disclosure of <i>BRCA1/BRCA2</i> genetic test results, 53% of 42 enrolled mothers of children aged 8 to 17 years had discussed their result with one or more of their children. Age of the child rather than mutation status of the mother influenced whether they were told, as did family health communication style.</p><p id="CDR0000062855__659">In one study, participants
|
||
who told children younger than 13 years about their carrier status had
|
||
increased distress, and those who did not tell their young children experienced
|
||
a slight decrease in distress. Communication with young children was found to be influenced by developmental variables such as age and style of parent/child communication.[<a class="bk_pop" href="#CDR0000062855_rl_271_164">164</a>]</p></div><div id="CDR0000062855__975"><h4>Prenatal diagnosis and preimplantation genetic diagnosis</h4><p id="CDR0000062855__1969">The possibility of transmitting a mutation to a child may pose a concern to families affected by history of breast/ovarian cancer (HBOC),[<a class="bk_pop" href="#CDR0000062855_rl_271_169">169</a>] perhaps to the extent that some carriers may avoid childbearing.[<a class="bk_pop" href="#CDR0000062855_rl_271_170">170</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_171">171</a>] These concerns also may prompt women to consider using prenatal diagnosis methods to help reduce the risk of transmission.[<a class="bk_pop" href="#CDR0000062855_rl_271_169">169</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_172">172</a>] Prenatal diagnosis is an encompassing term used to refer to any medical procedure conducted to assess the presence of a genetic disorder in a fetus. Methods include amniocentesis and chorionic villous sampling (CVS).[<a class="bk_pop" href="#CDR0000062855_rl_271_173">173</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_174">174</a>] Both procedures carry some risk of miscarriage and some evidence suggests fetal defects may result from using these tests.[<a class="bk_pop" href="#CDR0000062855_rl_271_173">173</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_174">174</a>] Moreover, discovering the fetus is a carrier for a genetic defect may impose a difficult decision for couples regarding pregnancy continuation or termination. An alternative to these tests is preimplantation genetic diagnosis (PGD), a procedure used to test fertilized embryos for genetic disorders before uterine implantation,[<a class="bk_pop" href="#CDR0000062855_rl_271_169">169</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_175">175</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_176">176</a>] thereby avoiding the potential dangers associated with amniocentesis and CVS and the decision to terminate a pregnancy. Using the information obtained from the genetic testing, potential parents can decide whether or not to implant. PGD can be used to detect mutations in hereditary cancer predisposing genes, including <i>BRCA</i>.[<a class="bk_pop" href="#CDR0000062855_rl_271_169">169</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_172">172</a>]</p><p id="CDR0000062855__1970">In the United States, a series of studies has evaluated awareness, interest (e.g., would consider using PGD), and attitudes related to PGD among members of Facing Our Risk of Cancer Empowered (FORCE), an advocacy organization focused on persons at increased risk of HBOC.[<a class="bk_pop" href="#CDR0000062855_rl_271_169">169</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_172">172</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_177">177</a>] The first study was a Web-based survey of 283 members,[<a class="bk_pop" href="#CDR0000062855_rl_271_169">169</a>] the second included 205 attendees of the 2007 annual FORCE conference,[<a class="bk_pop" href="#CDR0000062855_rl_271_172">172</a>] and the third was a Web-based survey of 962 members.[<a class="bk_pop" href="#CDR0000062855_rl_271_177">177</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_178">178</a>] These studies have documented low levels of awareness, with 20% to 32% of study respondents reporting having heard of PGD before study participation.[<a class="bk_pop" href="#CDR0000062855_rl_271_172">172</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_177">177</a>] With respect to interest in PGD, the first study [<a class="bk_pop" href="#CDR0000062855_rl_271_169">169</a>] found only 13% of women would be likely to use PGD, whereas, 33% of respondents in the subsequent FORCE studies reported that they would consider using PGD.[<a class="bk_pop" href="#CDR0000062855_rl_271_172">172</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_177">177</a>] In the third FORCE-based study (n = 962),[<a class="bk_pop" href="#CDR0000062855_rl_271_177">177</a>] multivariable analysis revealed PGD interest was associated with the desire to have more children, having previously had any prenatal genetic test, and previous awareness of PGD. Attitudinal predictors of interest in PGD included agreement that others at risk of HBOC should be offered PGD; the belief that PGD is acceptable for persons at risk of HBOC; the belief that PGD information should be given to individuals at risk of HBOC; and endorsement of PGD benefits of having children without genetic mutations and eliminating genetic diseases. Conversely, those who indicated that PGD was “too much like playing God” and reported that they considered PGD in the context of religion, had less interest in PGD.</p><p id="CDR0000062855__2821">It is unknown whether the attitudes of FORCE members toward PGD are representative of the majority of <i>BRCA</i> carriers. One study of 171 clinic-based patients from a single U.S. institution who tested positive for a <i>BRCA</i> mutation found that approximately 20% (33 of 168) were aware of PGD; 72% (122 of 169) thought PGD should be offered; and 41% (65 of 158) would consider PGD.[<a class="bk_pop" href="#CDR0000062855_rl_271_179">179</a>]</p><p id="CDR0000062855__1348">The U.K. Human Fertilization and Embryology authority has approved the use of PGD for hereditary breast and ovarian cancer. In a sample of 102 women with a <i>BRCA</i> mutation, most were supportive of PGD but only 38% of the women who had completed their families would consider it for themselves had PGD been available, and only 14% of women who were contemplating a future pregnancy would consider PGD.[<a class="bk_pop" href="#CDR0000062855_rl_271_180">180</a>] In a study of 77 individuals undergoing <i>BRCA</i> testing as part of a multicenter cohort study in Spain, 61% of respondents reported they would consider PGD. Factors associated with PGD interest were age 40 years and older and had a prior cancer diagnosis.[<a class="bk_pop" href="#CDR0000062855_rl_271_181">181</a>] </p><p id="CDR0000062855__2501">In France, couples who obtain authorization from a multidisciplinary prenatal diagnosis team may access PGD free of charge as a benefit of their national
|
||
health care system. However, no <i>BRCA</i> carriers have been authorized to use PGD. In a national study of 490 unaffected <i>BRCA</i> mutation carriers of childbearing age (women aged 18–49 years; men aged 18–69 years), 16% stated that <i>BRCA</i> test results had altered their ongoing plans for childbearing.[<a class="bk_pop" href="#CDR0000062855_rl_271_182">182</a>] Upon qualitative analysis of written comments provided by some respondents,
|
||
the primary impact was related to accelerating the timing of pregnancy, feelings of guilt about possibly passing on the mutation to offspring, and having future children. In response to a
|
||
hypothetical scenario in which PGD was readily available, 33% of participants reported that they would undergo PGD. Factors associated with this intention were having no future reproductive plans at the time of the survey, feeling pregnancy termination was an acceptable option in the context of identifying a <i>BRCA</i> mutation, and having fewer cases of breast and/or ovarian cancer in the family. When presented with questions about expectations about delivery of PGD or prenatal diagnosis (PND) information, 85% of respondents felt it should be provided along with <i>BRCA</i> test results; 45% felt that it should be provided when carriers decide to have children. Respondents stated
|
||
that they would expect this information to be delivered by cancer geneticists (92%), obstetrician/gynecologists (76%), and general practitioners (48%).</p><p id="CDR0000062855__2374">A small (N = 25) qualitative study of <i>BRCA</i> mutation–positive women of reproductive age who underwent genetic testing before having children evaluated how their <i>BRCA</i> status influenced their attitudes about reproductive genetic testing (both PGD and PND) and decisions about having children.[<a class="bk_pop" href="#CDR0000062855_rl_271_183">183</a>] In this study, the decision to undergo <i>BRCA</i> testing was primarily motivated by the desire to manage one’s personal cancer risk, rather than a desire to inform future reproductive decisions. The perceived severity of HBOC influenced concerns about passing on a <i>BRCA</i> mutation to children and also influenced willingness to consider PGD or PND and varied based on personal experience. Most did not believe that <i>BRCA</i> mutation–positive status was a reason to terminate a pregnancy. As observed in prior studies, knowledge of reproductive options varied; however, there was a tendency among participants to view PGD as more acceptable than PND with regard to termination of
|
||
pregnancy. Decisions regarding the pros and cons of PGD versus PND with termination of pregnancy were driven primarily by personal preferences and experiences, rather than by morality judgments. For example, women were deterred from PGD based on the need to undergo <i>in vitro</i> fertilization and to take hormones that might increase cancer risk and based on the observed
|
||
experiences of others who underwent this procedure.</p><p id="CDR0000062855__2326">One study has examined these issues among high-risk men recruited from FORCE and Craigslist (a bulletin board website) (N = 228).[<a class="bk_pop" href="#CDR0000062855_rl_271_184">184</a>] Similar to the previous studies of women, only 20% of men were aware of PGD before survey participation. In a multivariate analysis, those who selected the “other” option for possible benefits of PGD compared with those who selected from several predetermined options (e.g., having children without genetic mutations) and those who considered PGD in the context of
|
||
religion (as opposed to health and safety) were less likely to report that they would ever consider using PGD.</p></div></div><div id="CDR0000062855__308"><h3>Cultural/Community Effects</h3><p id="CDR0000062855__309">The recognition that <i>BRCA1/BRCA2</i> mutations are prevalent, not only in
|
||
breast/ovarian cancer families but also in some ethnic groups,[<a class="bk_pop" href="#CDR0000062855_rl_271_185">185</a>] has led to
|
||
considerable discussion of the ethical, psychological, and other implications of
|
||
having one’s ethnicity be a factor in determination of disease predisposition.
|
||
Concerns that people will think everything is solely determined by genetic factors and the creation of a genetic underclass [<a class="bk_pop" href="#CDR0000062855_rl_271_186">186</a>]
|
||
have been voiced. Questions about the impact on the group of being singled out
|
||
as having genetic vulnerability to breast cancer have been raised. There is
|
||
also confusion about who gives or withholds permission for the group to be
|
||
involved in studies of their genetic identity. These issues challenge
|
||
traditional views on informed consent as a function of individual autonomy.[<a class="bk_pop" href="#CDR0000062855_rl_271_187">187</a>]
|
||
</p><p id="CDR0000062855__791">A growing literature on the unique factors influencing a variety of cultural subgroups suggests the importance of developing culturally specific genetic counseling and educational approaches.[<a class="bk_pop" href="#CDR0000062855_rl_271_86">86</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_188">188</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_192">192</a>] The inclusion of members within the community of interest (e.g., breast cancer survivors, advocates, and community leaders) may enhance the development of culturally tailored genetic counseling materials.[<a class="bk_pop" href="#CDR0000062855_rl_271_87">87</a>] One study showed that participation in any genetic counseling (culturally mediated or standard approaches) reduced perceived risk of developing breast cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_193">193</a>]</p></div><div id="CDR0000062855__310"><h3>Ethical Concerns </h3><p id="CDR0000062855__311">The human implications of the ethical issues raised by the advent of genetic
|
||
testing for breast/ovarian cancer susceptibility are described in case studies,[<a class="bk_pop" href="#CDR0000062855_rl_271_194">194</a>] essays,[<a class="bk_pop" href="#CDR0000062855_rl_271_95">95</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_195">195</a>] and research reports. Issues about rights and
|
||
responsibilities in families concerning the spread of information about genetic
|
||
risk promise to be major ethical and legal dilemmas in the coming decades.
|
||
</p><p id="CDR0000062855__312">Studies have shown that 62% of studied family members were aware of the family
|
||
history and that 88% of hereditary breast/ovarian cancer family members
|
||
surveyed have significant concerns about privacy and confidentiality.
|
||
Expressed concern about cancer in third-degree relatives, or relatives farther
|
||
removed, was about the same as that for first- or second-degree relatives of
|
||
the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460211/" class="def">proband</a>.[<a class="bk_pop" href="#CDR0000062855_rl_271_196">196</a>] Only half of surveyed first-degree relatives of women with
|
||
breast or ovarian cancer felt that written permission should be required to
|
||
disclose <i>BRCA1/BRCA2</i> test results to a spouse or immediate family member.
|
||
Attitudes toward testing varied by ethnicity, previous exposure to genetic
|
||
information, age, optimism, and information style. Altruism is a factor
|
||
motivating genetic testing in some people.[<a class="bk_pop" href="#CDR0000062855_rl_271_197">197</a>] Many
|
||
professional groups have made recommendations regarding informed
|
||
consent.[<a class="bk_pop" href="#CDR0000062855_rl_271_100">100</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_197">197</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_200">200</a>] There is some evidence that not all practitioners are
|
||
aware of or follow these guidelines.[<a class="bk_pop" href="#CDR0000062855_rl_271_201">201</a>] Research shows that many <i>BRCA1/BRCA2</i>
|
||
genetic testing consent forms do not fulfill recommendations by professional
|
||
groups about the 11 areas that should be addressed,[<a class="bk_pop" href="#CDR0000062855_rl_271_202">202</a>] and they omit highly
|
||
relevant points of information.[<a class="bk_pop" href="#CDR0000062855_rl_271_201">201</a>] In a study of women with a history of breast or ovarian cancer, the interviews yielded that the women reported feeling inadequately prepared for the ethical dilemmas they encountered when imparting genetic information to family members.[<a class="bk_pop" href="#CDR0000062855_rl_271_203">203</a>] These data suggest that more preparation about disclosure to family members before testing reduces the emotional burden of disseminating genetic information to family members. Patients and health care providers would benefit from enhanced consideration of the ethical issues of warning family members about hereditary cancer risk. (Refer to the PDQ summaries <a href="/books/n/pdqcis/CDR0000062865/#CDR0000062865__240">Cancer Genetics Risk Assessment and Counseling</a> and <a href="/books/n/pdqcis/CDR0000517309/#CDR0000517309__31">Cancer Genetics Overview</a> for more information about the ethics of cancer genetics and genetic testing.)
|
||
</p></div><div id="CDR0000062855__313"><h3>Psychosocial Aspects of Cancer Risk Management for Hereditary Breast and Ovarian Cancer</h3><div id="CDR0000062855__1503"><h4>Decision aids for persons considering risk management options for hereditary breast and ovarian cancer</h4><p id="CDR0000062855__1504">There is a small but growing body of literature on the use of decision aids as an adjunct to standard genetic counseling to assist patients in making informed decisions about cancer risk management.[<a class="bk_pop" href="#CDR0000062855_rl_271_204">204</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_207">207</a>] One study showed that the use of a decision aid consisting of individualized value assessment and cancer risk management information after receiving positive <i>BRCA1/BRCA2</i> test results was associated with fewer intrusive thoughts and lower levels of depression at the 6-month follow-up in unaffected women. Use of the decision aid did not alter cancer risk management intentions and behaviors. Slightly detrimental effects on well-being and several decision-related outcomes, however, were noted among affected women.[<a class="bk_pop" href="#CDR0000062855_rl_271_206">206</a>]
|
||
Another study compared responses to a tailored decision aid (including a values-clarification exercise) versus a general information pamphlet intended for women making decisions about ovarian cancer risk management. In the short term, the women receiving the tailored decision aid showed a decrease in decisional conflict and increased knowledge compared with women receiving the pamphlet, but no differences in decisional outcomes were found between the two groups. In addition, the decision aid did not appear to alter the participant’s baseline cancer risk management decisions.[<a class="bk_pop" href="#CDR0000062855_rl_271_205">205</a>] A third decision aid focused on breast cancer risk management decision support for women with a <i>BRCA1/BRCA2</i> mutation. Pre-evaluations and postevaluations of the decision aid in 20 women showed that use of the aid resulted in a significant decrease in decisional conflict, improvement in knowledge, and a decrease in uncertainty about tamoxifen use, RRM and RRSO. No significant differences were identified in cancer-related distress after the use of the tool.[<a class="bk_pop" href="#CDR0000062855_rl_271_204">204</a>]</p></div><div id="CDR0000062855__1519"><h4>Uptake of cancer risk management options</h4><p id="CDR0000062855__1506">An increasing number of studies have examined uptake and adherence to cancer risk management options among individuals who have undergone genetic counseling and testing for <i>BRCA1</i> and <i>BRCA2</i> gene mutations. Findings from these studies are reported in <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2613/?report=objectonly" target="object" rid-figpopup="figCDR00000628552613" rid-ob="figobCDR00000628552613">Table 13</a> and <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2614/?report=objectonly" target="object" rid-figpopup="figCDR00000628552614" rid-ob="figobCDR00000628552614">Table 14</a>. Outcomes vary across studies and include uptake or adherence to screening (mammography, magnetic resonance imaging [MRI], cancer antigen [CA] 125, transvaginal ultrasound [TVUS]) and selection of RRM and RRSO. Studies generally report outcomes by mutation carrier or testing status (e.g., mutation-positive, mutation-negative, or declined genetic testing). Follow-up time after notification of genetic risk status also varied across studies, ranging from 12 months up to several years.</p><p id="CDR0000062855__1522">Findings from these studies suggest that breast screening often improves after notification of <i>BRCA1/BRCA2</i> mutation carrier status; nonetheless, screening remains suboptimal. Fewer studies have examined adoption of MRI as a screening modality, probably due to the recent availability of efficacy data. Screening for ovarian cancer varied widely across studies, and also varied based on type of screening test (i.e., CA-125 serum testing vs. TVUS screening). However, ovarian cancer screening does not appear to be widely adopted by <i>BRCA1/BRCA2</i> mutation carriers. Uptake of RRM varied widely across studies, and may be influenced by personal factors (such as younger age or having a family history of breast cancer), psychosocial factors (such as a desire for reduction of cancer-related distress), recommendations of the health care provider, and cultural or health care system factors. An individual’s choice to have a bilateral mastectomy also appears to be influenced by pretreatment genetic education and counseling regardless of the genetic test results.[<a class="bk_pop" href="#CDR0000062855_rl_271_208">208</a>] Similarly, uptake of RRSO also varied across studies, and may be influenced by similar factors, including older age, personal history of breast cancer, perceived risk of ovarian cancer, cultural factors (i.e., country), and the recommendations of the health care provider.</p><div id="CDR0000062855__2613" class="table"><h3><span class="title">Table 13. Uptake of Risk-reducing Mastectomy (RRM) and/or Breast Screening Among <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2613/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2613_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Study Citation</th><th colspan="1" rowspan="1" style="vertical-align:top;">Study Population</th><th colspan="1" rowspan="1" style="vertical-align:top;">Uptake of RRM</th><th colspan="1" rowspan="1" style="vertical-align:top;">Uptake of Breast Screening Mammography and/or Breast MRI
|
||
</th><th colspan="1" rowspan="1" style="vertical-align:top;">Length of Follow-up
|
||
</th><th colspan="1" rowspan="1" style="vertical-align:top;">Comments
|
||
</th></tr></thead><tbody><tr><td colspan="6" rowspan="1" style="vertical-align:top;"><b>United States </b>
|
||
</td></tr><tr><td colspan="1" rowspan="6" style="vertical-align:top;">Botkin et al. (2003) [<a class="bk_pop" href="#CDR0000062855_rl_271_209">209</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers (n = 37)<sup>a</sup>
|
||
</td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers 0% </td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Mammography</b></td><td colspan="1" rowspan="6" style="vertical-align:top;">24 mo </td><td colspan="1" rowspan="6" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 57% </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">Noncarriers (n = 92)<sup>a</sup>
|
||
</td><td colspan="1" rowspan="2" style="vertical-align:top;">Noncarriers 0% </td><td colspan="1" rowspan="1" style="vertical-align:top;">– Noncarriers 49% </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Declined test 20% </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">Declined testing (n = 15)<sup>a</sup>
|
||
</td><td colspan="1" rowspan="2" style="vertical-align:top;"></td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>MRI</b>
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Not evaluated </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">Beattie et al. (2009) [<a class="bk_pop" href="#CDR0000062855_rl_271_210">210</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers (n = 237)<sup>b</sup></td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers 23%</td><td colspan="1" rowspan="2" style="vertical-align:top;">Not applicable</td><td colspan="1" rowspan="2" style="vertical-align:top;">Mean, 3.7 y</td><td colspan="1" rowspan="1" style="vertical-align:top;">Women opting for RRM were younger than 60 y, had a prior diagnosis of breast cancer, and also underwent RRSO.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Median time to RRM: 124 days from receiving results.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">O’Neill et al. (2010) [<a class="bk_pop" href="#CDR0000062855_rl_271_211">211</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (n = 146)<sup>a</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 13%</td><td colspan="1" rowspan="1" style="vertical-align:top;">Not applicable</td><td colspan="1" rowspan="1" style="vertical-align:top;">12 mo</td><td colspan="1" rowspan="1" style="vertical-align:top;">Intentions at test result disclosure predicted RRM decisions.</td></tr><tr><td colspan="1" rowspan="10" style="vertical-align:top;">Schwartz et al. (2012) [<a class="bk_pop" href="#CDR0000062855_rl_271_212">212</a>]</td><td colspan="1" rowspan="3" style="vertical-align:top;">Carriers (n = 108)<sup>a</sup></td><td colspan="1" rowspan="3" style="vertical-align:top;">Carriers 37%
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Mammography</b></td><td colspan="1" rowspan="10" style="vertical-align:top;">Mean, 5.3 y</td><td colspan="1" rowspan="10" style="vertical-align:top;">Predictors of RRM were younger age, higher precounseling cancer distress, more recent diagnosis of breast or ovarian cancer, and intact ovaries.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers affected 92%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers unaffected 82%</td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;">Noncarriers (n = 60)<sup>a</sup>
|
||
</td><td colspan="1" rowspan="3" style="vertical-align:top;">Noncarriers 0%</td><td colspan="1" rowspan="1" style="vertical-align:top;">– Noncarriers 66%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Uninformative affected 89%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>MRI</b></td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">
|
||
Uninformative
|
||
(n = 206)<sup>a</sup>
|
||
</td><td colspan="1" rowspan="4" style="vertical-align:top;">Uninformative
|
||
6.8%
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers affected 51%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers unaffected 46%
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Noncarriers 11%
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Uninformative 27%
|
||
</td></tr><tr><td colspan="1" rowspan="5" style="vertical-align:top;">Garcia et al. (2013) [<a class="bk_pop" href="#CDR0000062855_rl_271_213">213</a>]</td><td colspan="1" rowspan="5" style="vertical-align:top;">Carriers (n = 250)<sup>b</sup></td><td colspan="1" rowspan="5" style="vertical-align:top;">Carriers 44%</td><td colspan="1" rowspan="1" style="vertical-align:top;">Excluding women post RRM:
|
||
</td><td colspan="1" rowspan="5" style="vertical-align:top;">41 months; range, 26–66 mo</td><td colspan="1" rowspan="5" style="vertical-align:top;">Breast surveillance decreased significantly from y 1–5 of follow-up:
|
||
Mammography 43% to 7%;
|
||
MRI 35% to 3%.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Mammography:</b>
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 43%
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">
|
||
<b>MRI:</b>
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 35%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Singh et al. (2013) [<a class="bk_pop" href="#CDR0000062855_rl_271_214">214</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (n = 136)<sup>b</sup>
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 42% </td><td colspan="1" rowspan="1" style="vertical-align:top;">Not applicable </td><td colspan="1" rowspan="1" style="vertical-align:top;">Range, 1–11 y </td><td colspan="1" rowspan="1" style="vertical-align:top;">Predictors of RRM were first- or second-degree relative diseased from breast cancer, having had at least one childbirth, and having undergone testing after 2005.</td></tr><tr><td colspan="6" rowspan="1" style="vertical-align:top;"><b>International</b></td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Phillips et al. (2006) [<a class="bk_pop" href="#CDR0000062855_rl_271_215">215</a>]</td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers (n = 70)<sup>a</sup></td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers 11%</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Mammography</b></td><td colspan="1" rowspan="4" style="vertical-align:top;">3 y</td><td colspan="1" rowspan="4" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 89%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>MRI </b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Not evaluated</td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Metcalfe et al. (2008) [<a class="bk_pop" href="#CDR0000062855_rl_271_216">216</a>]</td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers (N = 2,677)<sup>a</sup></td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers 18% (unaffected)</td><td colspan="1" rowspan="1" style="vertical-align:top;">
|
||
<b>Mammography</b>
|
||
</td><td colspan="1" rowspan="4" style="vertical-align:top;">3.9 y; range, 1.5–10.3 y</td><td colspan="1" rowspan="2" style="vertical-align:top;">Large differences in uptake of risk management options by country.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 87%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>MRI</b></td><td colspan="1" rowspan="2" style="vertical-align:top;">1,294 participants had a personal history of breast cancer.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 31%</td></tr><tr><td colspan="1" rowspan="6" style="vertical-align:top;">Julian-Reynier et al. (2011) [<a class="bk_pop" href="#CDR0000062855_rl_271_217">217</a>]</td><td colspan="1" rowspan="3" style="vertical-align:top;">Carriers (n = 101)<sup>a</sup></td><td colspan="1" rowspan="3" style="vertical-align:top;">Carriers 6.9%
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>Mammography</b></td><td colspan="1" rowspan="6" style="vertical-align:top;">5 y</td><td colspan="1" rowspan="6" style="vertical-align:top;">Noncarriers often continued screening.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 59%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Noncarriers aged 30–39 y 53%</td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;">Noncarriers (n = 145)<sup>a</sup></td><td colspan="1" rowspan="3" style="vertical-align:top;">Noncarriers 0%
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>MRI</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 31%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Noncarriers 4.8%</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">MRI = magnetic resonance imaging; RRSO = risk-reducing salpingo-oophorectomy.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>a</sup>Self-report as data source.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>b</sup>Medical records as data source.</p></div></dd></dl></div></div></div><div id="CDR0000062855__2614" class="table"><h3><span class="title">Table 14. Uptake of Risk-reducing Salpingo-oophorectomy (RRSO) and/or Gynecologic Screening Among <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers</span></h3><p class="large-table-link" style="display:none"><span class="right"><a href="/books/NBK65767.2/table/CDR0000062855__2614/?report=objectonly" target="object">View in own window</a></span></p><div class="large_tbl" id="__CDR0000062855__2614_lrgtbl__"><table class="no_margin"><thead><tr><th colspan="1" rowspan="1" style="vertical-align:top;">Study Citation</th><th colspan="1" rowspan="1" style="vertical-align:top;">Study Population </th><th colspan="1" rowspan="1" style="vertical-align:top;">Uptake of RRSO</th><th colspan="1" rowspan="1" style="vertical-align:top;">Uptake of Gynecologic Screening</th><th colspan="1" rowspan="1" style="vertical-align:top;">Length of Follow-up</th><th colspan="1" rowspan="1" style="vertical-align:top;">Comments</th></tr></thead><tbody><tr><td colspan="6" rowspan="1" style="vertical-align:top;"><b>United States</b></td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Scheuer et al. (2002) [<a class="bk_pop" href="#CDR0000062855_rl_271_218">218</a>]</td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers (n = 179)<sup>a </sup></td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers 50.3% </td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>CA-125</b></td><td colspan="1" rowspan="4" style="vertical-align:top;">Mean, 24.8 mo; range, 1.6–66.0 mo</td><td colspan="1" rowspan="4" style="vertical-align:top;">Women undergoing RRSO were older and more likely to have a personal history of breast cancer. </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 67.6% </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>TVUS</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 72.9%</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">Beattie et al. (2009) [<a class="bk_pop" href="#CDR0000062855_rl_271_210">210</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers (n = 240)<sup>b</sup></td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers 51%</td><td colspan="1" rowspan="2" style="vertical-align:top;">Not applicable</td><td colspan="1" rowspan="2" style="vertical-align:top;">Mean, 3.7 y</td><td colspan="1" rowspan="1" style="vertical-align:top;">Women opting for RRSO <60 y had a prior diagnosis of breast cancer and also underwent RRM.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Median time to RRSO: 123 days from receiving results.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">O'Neill et al. (2010) [<a class="bk_pop" href="#CDR0000062855_rl_271_211">211</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (n = 146)<sup>a</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 32%</td><td colspan="1" rowspan="1" style="vertical-align:top;">Not applicable</td><td colspan="1" rowspan="1" style="vertical-align:top;">12 mo</td><td colspan="1" rowspan="1" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="8" style="vertical-align:top;">Schwartz et al. (2012) [<a class="bk_pop" href="#CDR0000062855_rl_271_212">212</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (n = 100)<sup>a</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 65%</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>CA-125</b></td><td colspan="1" rowspan="8" style="vertical-align:top;">Mean, 5.3 y</td><td colspan="1" rowspan="8" style="vertical-align:top;">Predictors of RRSO were being ≥40 y and having received a diagnosis of breast cancer more than 10 y ago.</td></tr><tr><td colspan="1" rowspan="3" style="vertical-align:top;">Noncarriers (n = 52)<sup>a</sup></td><td colspan="1" rowspan="3" style="vertical-align:top;">Noncarriers 1.9%
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 56%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Noncarriers 12%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Uninformative 33%</td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Uninformative
|
||
(n = 203)<sup>a</sup></td><td colspan="1" rowspan="4" style="vertical-align:top;">Uninformative
|
||
13.3%</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>TVUS</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 42%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Noncarriers 20%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"> – Uninformative 26%</td></tr><tr><td colspan="1" rowspan="5" style="vertical-align:top;">Garcia et al. (2013) [<a class="bk_pop" href="#CDR0000062855_rl_271_213">213</a>]</td><td colspan="1" rowspan="5" style="vertical-align:top;">Carriers (n = 305)<sup>b</sup></td><td colspan="1" rowspan="5" style="vertical-align:top;">Carriers 74%</td><td colspan="1" rowspan="1" style="vertical-align:top;">Excluding women post-RRSO:
|
||
</td><td colspan="1" rowspan="5" style="vertical-align:top;">41 mo; range, 26–66 mo</td><td colspan="1" rowspan="5" style="vertical-align:top;">Ovarian surveillance decreased significantly from years 1–5 of follow-up;
|
||
CA-125: 47% to 2%;
|
||
TVUS: 45% to 2.3%
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>CA-125
|
||
</b>
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 47%
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>TVUS</b>
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 45%</td></tr><tr><td colspan="1" rowspan="9" style="vertical-align:top;">Mannis et al. (2013) [<a class="bk_pop" href="#CDR0000062855_rl_271_219">219</a>]</td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers (n = 201)<sup>a</sup>
|
||
</td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers 69.6%</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>CA-125</b></td><td colspan="1" rowspan="9" style="vertical-align:top;">Median, 3.7 y</td><td colspan="1" rowspan="9" style="vertical-align:top;">Predictors of RRSO and screening included being a <i>BRCA</i> mutation carrier, age 40–49 y, having a higher income, ≥2 children, a personal history of breast cancer, and a first-degree relative with ovarian cancer.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– 26.3%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>TVUS</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– 26.3%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Noncarriers (n = 103)<sup>a</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;"> Noncarriers 2.0%</td><td colspan="1" rowspan="1" style="vertical-align:top;">Not reported</td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Uninformative (n = 773)<sup>a</sup>; 59/773 with a variant of uncertain significance
|
||
</td><td colspan="1" rowspan="4" style="vertical-align:top;">Uninformative 12.3%</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>CA-125</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– 10.4%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>TVUS</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– 6.5%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Singh et al. (2013) [<a class="bk_pop" href="#CDR0000062855_rl_271_214">214</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (n = 136)<sup>b</sup>
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 52% </td><td colspan="1" rowspan="1" style="vertical-align:top;">Not applicable </td><td colspan="1" rowspan="1" style="vertical-align:top;">Range, 1–11 y </td><td colspan="1" rowspan="1" style="vertical-align:top;">Predictors of RRSO were first- or second-degree relative with breast cancer, a mother lost to pelvic cancer, having had ≥1 childbirths, age ≥50 y, and having undergone testing after 2005.</td></tr><tr><td colspan="6" rowspan="1" style="vertical-align:top;"><b>International</b>
|
||
</td></tr><tr><td colspan="1" rowspan="4" style="vertical-align:top;">Phillips et al. (2006) [<a class="bk_pop" href="#CDR0000062855_rl_271_215">215</a>]</td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers (n = 70)<sup>a</sup></td><td colspan="1" rowspan="4" style="vertical-align:top;">Carriers 29%</td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>CA-125</b></td><td colspan="1" rowspan="4" style="vertical-align:top;">3 y</td><td colspan="1" rowspan="4" style="vertical-align:top;"></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 0% </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><b>TVUS</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– Carriers 67%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Friebel et al. (2007) [<a class="bk_pop" href="#CDR0000062855_rl_271_220">220</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (N = 537)<sup>c</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 55%</td><td colspan="1" rowspan="1" style="vertical-align:top;">Not applicable</td><td colspan="1" rowspan="1" style="vertical-align:top;">Minimum 6 mo; median 36 mo </td><td colspan="1" rowspan="1" style="vertical-align:top;">RRSO greatest in parous women >40 y.</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">Madalinska et al. (2007) [<a class="bk_pop" href="#CDR0000062855_rl_271_221">221</a>]</td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers (n = 160)<sup>a, b</sup></td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers 74%</td><td colspan="1" rowspan="2" style="vertical-align:top;">Carriers 26%</td><td colspan="1" rowspan="2" style="vertical-align:top;">12 mo </td><td colspan="1" rowspan="1" style="vertical-align:top;">Women who underwent RRSO had lower education levels, viewed ovarian cancer as incurable, and believed strongly in the benefits of RRSO. </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Specific method(s) of gynecological screening not reported.</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Metcalfe et al. (2008) [<a class="bk_pop" href="#CDR0000062855_rl_271_216">216</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (N = 2,677)<sup>a</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 57%</td><td colspan="1" rowspan="1" style="vertical-align:top;">Not applicable</td><td colspan="1" rowspan="1" style="vertical-align:top;">3.9 y; range, 1.5–10.3 y</td><td colspan="1" rowspan="1" style="vertical-align:top;">Large differences in uptake of risk management options by country. </td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">Julian-Reynier et al. (2011) [<a class="bk_pop" href="#CDR0000062855_rl_271_217">217</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (n = 101)<sup>a</sup>
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 42.6% </td><td colspan="1" rowspan="1" style="vertical-align:top;"><b>TVUS</b>
|
||
</td><td colspan="1" rowspan="2" style="vertical-align:top;">5 y </td><td colspan="1" rowspan="2" style="vertical-align:top;">RRSO uptake increased with age. Having undergone RRSO did not alter breast cancer risk perception. Noncarriers often continued screening. </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Noncarriers (n = 145)<sup>a</sup>
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">Noncarriers 2% </td><td colspan="1" rowspan="1" style="vertical-align:top;">– Noncarriers 43.2% </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">Rhiem et al. (2011) [<a class="bk_pop" href="#CDR0000062855_rl_271_222">222</a>]</td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers (N = 306)<sup>b</sup></td><td colspan="1" rowspan="1" style="vertical-align:top;">Carriers 57%</td><td colspan="1" rowspan="1" style="vertical-align:top;">Not evaluated</td><td colspan="1" rowspan="1" style="vertical-align:top;">Mean, 47.8 mo post-oophorectomy</td><td colspan="1" rowspan="1" style="vertical-align:top;">Median age at time of RRSO = 47 y.
|
||
One occult fallopian tube cancer was detected at the time of RRSO.
|
||
One peritoneal carcinoma was diagnosed 26 mo post-RRSO.</td></tr><tr><td colspan="1" rowspan="9" style="vertical-align:top;">Sidon et al. (2012) [<a class="bk_pop" href="#CDR0000062855_rl_271_223">223</a>]</td><td colspan="1" rowspan="9" style="vertical-align:top;">Carriers (N = 700)<sup>a</sup>;
|
||
386/700 with personal history of breast cancer
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA1</i> carriers:
|
||
</td><td colspan="1" rowspan="9" style="vertical-align:top;">Not evaluated</td><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Affected with breast cancer</b></td><td colspan="1" rowspan="9" style="vertical-align:top;">Uptake of RRSO was lower in women >60 y (22% uptake at 5 y). None of the women >70 y had a RRSO performed. </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– 54.5%</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;"><i>BRCA2 </i>carriers:</td><td colspan="1" rowspan="2" style="vertical-align:top;">– <i>BRCA1</i>:
|
||
Mean, 2.29; range, 0.1–11.45 y </td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– 45.5%
|
||
</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;">All carriers with no personal history of breast cancer
|
||
</td><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>BRCA2</i>:
|
||
Mean, 1.77; range, 0.1–11.1 y</td></tr><tr><td colspan="1" rowspan="2" style="vertical-align:top;"><b>Not affected with breast cancer</b></td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– 54.2%
|
||
</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">All carriers with personal history of breast cancer</td><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>BRCA1</i>:
|
||
Mean, 1.63; range, 0.1–11.28 y</td></tr><tr><td colspan="1" rowspan="1" style="vertical-align:top;">– 43.2%</td><td colspan="1" rowspan="1" style="vertical-align:top;">– <i>BRCA2:</i>
|
||
Mean, 1.75; range, 0.1–8.98 y
|
||
</td></tr></tbody></table></div><div><div><dl class="temp-labeled-list small"><dt></dt><dd><div><p class="no_margin">CA-125 = cancer antigen 125; RRM = risk-reducing mastectomy; TVUS = transvaginal ultrasound.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>a</sup>Self-report as data source.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>b</sup>Medical records as data source.</p></div></dd><dt></dt><dd><div><p class="no_margin"><sup>c</sup>Data source not specified.</p></div></dd></dl></div></div></div><p id="CDR0000062855__596">On the other hand, many women found to be mutation carriers express interest in RRM in hopes of minimizing their risk of breast cancer. In one study of a number of unaffected women with no previous risk-reducing surgery who received results of <i>BRCA1</i> testing after genetic counseling, 17% of carriers (2 of 12) intended to have mastectomies and 33% (4 of 12) intended to have oophorectomies.[<a class="bk_pop" href="#CDR0000062855_rl_271_107">107</a>] In a later study of the same population, RRM was considered an important option by 35% of women who tested positive, whereas risk-reducing oophorectomy was considered an important option by 76%. A prospective study assessed the stability of risk management preferences over five time points (pre-<i>BRCA</i> testing to 9 months after results disclosure) among 80 Dutch women with a documented <i>BRCA</i> mutation. Forty-six participants indicated a preference for screening at baseline. Of 25 women who preferred RRM at baseline, 22 indicated the same preference 9 months after test results disclosure; however, it was not reported how many women actually had RRM.[<a class="bk_pop" href="#CDR0000062855_rl_271_224">224</a>]</p><p id="CDR0000062855__1590"> Initial interest does not always translate into the decision for surgery. Two different studies found low rates of RRM among mutation carriers in the year after result disclosure, one showing 3% (1 of 29) of carriers and the other 9% (3 of 34) of carriers having had this surgery.[<a class="bk_pop" href="#CDR0000062855_rl_271_161">161</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_225">225</a>] Among members from a large <i>BRCA1</i> kindred, utilization of cancer
|
||
screening and/or risk-reducing surgeries was assessed at baseline (before disclosure of results), and at 1 year and 2 years after disclosure of <i>BRCA1</i> test results. Of the 269 men and women who participated, complete data were obtained on 37 female carriers and 92 female
|
||
noncarriers, all aged 25 years or older. At 2 years after disclosure of test results, none of the women had undergone RRM, although 4 of the 37 carriers (10.8%) said they were considering the procedure. In contrast, of the 26 women who had not had an oophorectomy before baseline, 46% (12 of 26) had obtained an oophorectomy by 2 years after testing. Of those carriers aged 25 to 39 years, 29% (5 of 17) underwent oophorectomy, while 78% (7 of 9) of the carriers aged 40 years and older had this procedure.[<a class="bk_pop" href="#CDR0000062855_rl_271_209">209</a>] In a study assessing uptake of risk-reducing surgery 3 months after <i>BRCA</i> result disclosure, 7 of 62 women had undergone RRM and 13 of 62 women had undergone RRSO. Intent to undergo RRSO before testing correlated with procedure uptake. In contrast, intent to undergo RRM did not correlate with uptake. Overall, reasons given for indecision about risk-reducing surgery included complex testing factors such as the significance of family history in the absence of a mutation, concerns over the surgical procedure, and time and uncertainty regarding early menopause and the use of HRT.[<a class="bk_pop" href="#CDR0000062855_rl_271_226">226</a>] In a UK study, data were collected during observations of genetic consultations and in semistructured interviews with 41 women after they received genetic counseling.[<a class="bk_pop" href="#CDR0000062855_rl_271_227">227</a>] The option of risk-reducing surgery was raised in 29 consultations and discussed in 35 of the postclinic interviews. Fifteen women said they would consider having an oophorectomy in the future, and nine said they would consider having a mastectomy. The implications of undergoing oophorectomy and mastectomy were discussed in postclinic interviews. Risk-reducing surgery was described by the <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000460230/" class="def">counselees</a> as providing individuals with a means to (a) fulfill their obligations to other family members and (b) reduce risk and contain their fear of cancer. The costs of this form of risk management were described by the respondents as follows:</p><ul id="CDR0000062855__597"><li class="half_rhythm"><div>Compromising
|
||
social obligations.</div></li><li class="half_rhythm"><div>Upsetting the natural balance of the body.</div></li><li class="half_rhythm"><div>Not receiving protection from cancer.</div></li><li class="half_rhythm"><div>Operative and postoperative complications.</div></li><li class="half_rhythm"><div>The onset of menopause.</div></li><li class="half_rhythm"><div>The effects of body image, gender, and personal identity.</div></li><li class="half_rhythm"><div>Potential effects on sexual relationships.[<a class="bk_pop" href="#CDR0000062855_rl_271_227">227</a>]</div></li></ul><p id="CDR0000062855__598">A number of women choose to undergo RRM and RRSO without genetic testing because of the following:</p><ul id="CDR0000062855__599"><li class="half_rhythm"><div>Testing is not readily accessible.</div></li><li class="half_rhythm"><div>They do not wish exposure to the psychosocial risks of genetic testing.</div></li><li class="half_rhythm"><div>They do not trust that a negative genetic test result means they are not at increased risk.</div></li><li class="half_rhythm"><div>They find any level of risk, even baseline population risk, unacceptable.[<a class="bk_pop" href="#CDR0000062855_rl_271_228">228</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_229">229</a>]</div></li></ul><p id="CDR0000062855__600">Among first-degree relatives of breast cancer patients attending a surveillance clinic, women who expressed an interest in RRM and/or had undergone surgery were found to
|
||
have significantly more breast cancer biopsies (<i>P</i> < .05) and higher subjective 10-year breast cancer risk estimates (<i>P</i> < .05) than women not interested in RRM. Cancer worry at the time of entry into the clinic was highest among women who subsequently underwent RRM compared with women who expressed interest but had not yet had surgery and women who did not intend to have surgery (<i>P</i> < .001).[<a class="bk_pop" href="#CDR0000062855_rl_271_230">230</a>] </p><p id="CDR0000062855__2451">Few studies have evaluated the impact of <i>BRCA1/BRCA2</i> test results on risk-reducing surgery decisions among women affected with breast cancer. A study that evaluated predictors of contralateral RRM among 435 breast cancer survivors found that 16% had undergone contralateral RRM (in conjunction with mastectomy of the affected breast) before referral for genetic counseling and <i>BRCA1/BRCA2</i> genetic testing.[<a class="bk_pop" href="#CDR0000062855_rl_271_231">231</a>] Predictors of contralateral RRM before genetic counseling and testing included younger age at breast cancer diagnosis, more time since diagnosis, having at least one affected first-degree relative, and not being employed full-time. In the year after disclosure of test results, 18% of women who tested positive for a <i>BRCA1/BRCA2</i> mutation and 2% of those whose test results were uninformative underwent contralateral RRM. Predictors of contralateral RRM after genetic testing included younger age at breast cancer diagnosis, higher cancer-specific distress before genetic counseling, and having a positive <i>BRCA1/BRCA2</i> test result. In this study, contralateral RRM was not associated with distress at 1 year after disclosure of genetic test results. A retrospective chart review evaluated uptake of bilateral mastectomies in 110 women who underwent <i>BRCA1/BRCA2</i> genetic testing before making surgical decisions about the treatment of newly diagnosed breast cancer. <i>BRCA</i> mutation carriers were more likely to undergo bilateral mastectomies than were women in whom no mutation was detected (83% vs. 37%; <i>P</i> = .046).[<a class="bk_pop" href="#CDR0000062855_rl_271_232">232</a>] The only predictor of contralateral RRM in women without a mutation was being married (<i>P</i> = .03). Age, race, parity, disease stage and biomarkers, increased mammographic breast density, and breast MRI did not influence contralateral RRM decisions at the time of primary surgical treatment.</p><p id="CDR0000062855__1254">Dutch women (N = 114) who had undergone unilateral or bilateral RRM with breast reconstruction between 1994 and 2002 were retrospectively surveyed to determine their satisfaction with the procedure.[<a class="bk_pop" href="#CDR0000062855_rl_271_233">233</a>] Sixty-eight percent were either unaffected <i>BRCA</i> mutation carriers or at 50% risk of having a <i>BRCA</i> mutation in
|
||
their family. Sixty percent of respondents indicated that they were satisfied with the procedure, 95% would opt for RRM again, and 80% would opt for the same reconstruction procedure. Less than half reported some perioperative or postoperative complications, ongoing physical complaints, or some physical limitations. Twenty-nine percent reported altered feelings of femininity after the procedure, 44% reported adverse changes in their sexual relationships, and 35% indicated that they believed their partners experienced adverse changes in their sexual relationship. Ten percent of women, however, reported positive changes in their sexual relationship after the procedure. Compared with patients who indicated satisfaction with this procedure, nonsatisfied patients were more likely to feel less informed about the procedure and its consequences, report more complications and physical complaints, feel that their breasts did not belong to their body, and indicate that they would not opt for reconstruction again. Those who reported a negative effect on their sexual relationship were more likely to:</p><ul id="CDR0000062855__1256"><li class="half_rhythm"><div>Feel less informed.</div></li><li class="half_rhythm"><div>Experience more physical complaints and limitations.</div></li><li class="half_rhythm"><div>Express that their breasts did not feel like their own.</div></li><li class="half_rhythm"><div>Be disinclined to opt for reconstruction again.</div></li><li class="half_rhythm"><div>State that the surgery had not met their expectations.</div></li><li class="half_rhythm"><div>Experience altered feelings of femininity and perceived adverse changes in their partner’s view of their femininity and their sexual relationship.</div></li></ul><p id="CDR0000062855__1591">Ninety Swedish women who had undergone RRM between 1997 and 2005 were surveyed before surgery, 6 months after surgery, and 1 year after surgery to evaluate changes in health-related quality of life, depression, anxiety, sexuality, and body image. There were no significant changes in health-related quality of life or depression at the three time points; anxiety decreased over time (<i>P</i> = .0004). More than 80% of women reported having an intimate relationship at all three time points. Women who reported being sexually active were asked to respond to questions about sexual pleasure, discomfort, habit, and frequency of activity. There were no statistically significant differences related to frequency, habit, or discomfort. However, pleasure significantly decreased between baseline and 1 year after surgery (<i>P</i> = .005). At 1 year after surgery, 48% of women reported feeling less attractive, 48% reported feeling self-conscious, and 44% reported dissatisfaction with surgical scars.[<a class="bk_pop" href="#CDR0000062855_rl_271_234">234</a>]</p><p id="CDR0000062855__601">Discussion of risk-reducing surgical options may not consistently occur during pretest genetic counseling. In one multi-institutional study, only one-half of genetics specialists discussed RRM and RRSO in consultations with women from high-risk breast cancer families,[<a class="bk_pop" href="#CDR0000062855_rl_271_235">235</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_236">236</a>] despite the fact that discussion of surgical options was significantly associated with meeting counselees’ expectations, and that such information was not associated with increased anxiety.[<a class="bk_pop" href="#CDR0000062855_rl_271_237">237</a>]</p><p id="CDR0000062855__1303">Given the increased risk of ovarian cancer faced by women with a <i>BRCA1</i> or <i>BRCA2</i> mutation, those who do receive information about RRSO show wide variations in surgery uptake (27%–72%).[<a class="bk_pop" href="#CDR0000062855_rl_271_9">9</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_113">113</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_218">218</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_221">221</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_238">238</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_239">239</a>] A study showed that clinical factors related to choosing RRSO versus surveillance alone are older age, parity of one or more, and a prior breast cancer diagnosis.[<a class="bk_pop" href="#CDR0000062855_rl_271_240">240</a>] In this study, the choice of RRSO was not related to family history of breast or ovarian cancer. Hysterectomy was presented as an option during genetic counseling and 80% of women who underwent RRSO also elected to have a hysterectomy. </p></div><div id="CDR0000062855__1191"><h4>Cancer screening and risk-reducing behaviors</h4><p id="CDR0000062855__1192">Data are now emerging regarding uptake and adherence to cancer risk management recommendations such as screening and risk-reducing interventions. Cancer screening adherence and risk-reduction behaviors as defined by the NCCN Guidelines were assessed in a cross-sectional study of 214 women with a personal history (n = 134) or family history (n = 80) of breast or ovarian cancer. Among unaffected women older than 40 years, 10% had not had a mammogram or clinical breast examination (CBE) in the previous year and 46% did not practice breast self-examination (BSE). Among women previously affected with breast or ovarian cancer, 21% had not had a mammogram, 32% had not had a CBE, and 39% did not practice BSE.[<a class="bk_pop" href="#CDR0000062855_rl_271_241">241</a>]</p><p id="CDR0000062855__1638">Three hundred and twelve women who were counseled and tested for <i>BRCA</i> mutations between 1997 and 2005 responded to a survey regarding their perception of genetic testing for hereditary breast and ovarian cancer. The survey included questions on risk reduction options, including screening and risk-reducing surgeries. Two hundred and seventeen (70%) of the women had been diagnosed with breast cancer, and 86 (28%) tested positive for a deleterious mutation in either the <i>BRCA1</i> or <i>BRCA2</i> gene. None of the <i>BRCA</i>-positive women agreed that mammograms are difficult procedures because of the discomfort, while 11 (5.4%) of the <i>BRCA</i>-negative women did agree with this statement. Both groups (<i>BRCA</i>-positive and <i>BRCA</i>-negative) agreed that risk-reducing surgeries provide the best means for lowering cancer risk and worry, and most patients in both groups expressed the belief that risk-reducing mastectomy is not too drastic, too scary, or too disfiguring.[<a class="bk_pop" href="#CDR0000062855_rl_271_242">242</a>]</p><p id="CDR0000062855__1397">A prospective study from the United Kingdom examined the psychological impact of mammographic screening in 1,286 women aged 35 to 49 years who have a family history of breast cancer and were participants in a multicenter screening program. Mammographic abnormalities that required additional evaluation were detected in 112 women. These women, however, did not show a statistically significant increase in cancer worry or negative psychological consequences as a result of these findings. The 1,174 women who had no mammographic abnormality detected experienced a decrease in cancer worry and a decrease in negative psychological consequences compared with baseline after receipt of their results. At 6 months, the entire cohort had experienced a decrease in measures of cancer worry and psychological consequences of breast screening.[<a class="bk_pop" href="#CDR0000062855_rl_271_243">243</a>]</p><p id="CDR0000062855__1319">A qualitative study explored health care professionals’ views regarding the provision of information about health protective behaviors (e.g., exercise and diet). Seven medical specialists and ten genetic counselors were interviewed during a focus group or individually. The study reported wide variation in the content and extent of information provided about health-protective behaviors and in general, participants did not consider it their role to promote such behaviors in the context of a genetic counseling session. There was agreement, however, about the need to form consensus about provision of such information both within and across risk assessment clinics.[<a class="bk_pop" href="#CDR0000062855_rl_271_244">244</a>] </p><p id="CDR0000062855__1450">Not all studies specify whether screening uptake rates fall within recommended guidelines for the targeted population or the specific clinical scenario, nor do they report on other variables that may influence cancer screening recommendations. For example, women who have a history of atypical ductal hyperplasia would be advised to follow screening recommendations that may differ from those of the general population. </p></div></div><div id="CDR0000062855__602"><h3>Psychosocial Outcome Studies</h3><div id="CDR0000062855__1401"><h4>Risk-reducing mastectomy</h4><p id="CDR0000062855__603">A prospective study conducted in the Netherlands found that among 26 <i>BRCA1/BRCA2</i> mutation carriers, the 14 women who chose mastectomy had higher distress both before test result disclosure and 6 and 12 months later, compared with the 12 carriers who chose surveillance and compared with 53 non–mutation carriers. Overall, however, anxiety declined in women undergoing prophylactic mastectomy; at 1 year, their anxiety scores were closer to those of women choosing surveillance and to the scores of non–mutation carriers.[<a class="bk_pop" href="#CDR0000062855_rl_271_245">245</a>] Interestingly, women opting for prophylactic mastectomy had lower pretest satisfaction with their breasts and general body image than carriers who opted for surveillance or noncarriers of <i>BRCA1/BRCA2</i> mutations. Of the women who had a prophylactic mastectomy, all but one did not regret the decision at 1 year posttest disclosure, but many had difficulties with body image, sexual interest and functioning, and self-esteem. The perception that doctors had inadequately informed them about the consequences of prophylactic mastectomy was associated with regret.[<a class="bk_pop" href="#CDR0000062855_rl_271_245">245</a>] At 5-year follow-up, women who had undergone RRM had less favorable body image and changes in sexual relationships, but also had a significant reduction in the fear of developing cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_115">115</a>] In a study of 78 women who underwent risk-reducing surgery (including <i>BRCA1/BRCA2</i> carriers and women who were from high-risk families with no detectable <i>BRCA1/BRCA2</i> mutation), cancer-specific and general distress were assessed 2 weeks before surgery and at 6 and 12 months postsurgery.[<a class="bk_pop" href="#CDR0000062855_rl_271_246">246</a>] The sample included women who had RRM and RRSO alone and women who had both surgeries. There was no observable increase in distress over the 1-year period.</p><p id="CDR0000062855__604">Mixed psychosocial outcomes were reported in a follow-up study (mean 14 years) of 609 women who received prophylactic mastectomies at the Mayo Clinic. Seventy percent were satisfied with prophylactic mastectomy, 11% were neutral, and 19% were dissatisfied. Eighteen percent believed that if they had the choice to make again, they probably or definitely would not have a prophylactic mastectomy. About three quarters said their worry about cancer was diminished by surgery. One-half reported no change in their satisfaction with body image; 16% reported improved body image after surgery. Thirty-six percent said they were dissatisfied with their body image after prophylactic mastectomy. About one-quarter of the women reported adverse impact of prophylactic mastectomy on their sexual relationships and sense of femininity, and 18% had diminished self-esteem. Factors most strongly associated with satisfaction with prophylactic mastectomy were postsurgical satisfaction with appearance, reduced stress, no reconstruction or lack of problems with implants, and no change or improvement in sexual relationships. Women who cited physician advice as the primary reason for choosing prophylactic mastectomy tended to be dissatisfied after prophylactic mastectomy.[<a class="bk_pop" href="#CDR0000062855_rl_271_247">247</a>]</p><p id="CDR0000062855__1022">A study of 60 healthy women who underwent RRM measured levels of satisfaction, body image, sexual functioning, intrusion and avoidance, and current psychological status at a mean of 4 years and 4 months postsurgery. Of this group, 76.7% had either a strong family history (21.7%) or carried a <i>BRCA1</i> or <i>BRCA2</i> mutation (55%). Overall, 97% of the women surveyed were either satisfied (17%) or extremely satisfied (80%) with their decision to have RRM, and all but one participant would recommend this procedure to other women. Most women (66.7%) reported that surgery had no impact on their sexual life, although 31.7% reported a worsening sexual life, and 76.6% reported either no change in body image or an improvement in body image, regardless of whether reconstruction was performed. Worsening self-image was reported by 23.3% of women after surgery. Women’s mean distress levels after surgery were only slightly above normal levels, although those women who continued to perceive their postsurgery breast cancer risk as high had higher mean levels of global and cancer-related distress than those who perceived their risk as low. Additionally, <i>BRCA1</i> and <i>BRCA2</i> mutation carriers and women with a strong family history of breast and/or ovarian cancer had higher mean levels of cancer-related distress than women with a limited family history.[<a class="bk_pop" href="#CDR0000062855_rl_271_248">248</a>]</p><p id="CDR0000062855__793">Very little is known about how the results of genetic testing affect treatment decisions at the time of cancer diagnosis. Two studies explored genetic counseling and <i>BRCA1/BRCA2</i> genetic testing at the time of breast cancer diagnosis.[<a class="bk_pop" href="#CDR0000062855_rl_271_208">208</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_249">249</a>] One of these studies found that genetic testing at the time of diagnosis significantly altered surgical decision making, with more mutation carriers than noncarriers opting for bilateral mastectomy. Bilateral RRM was chosen by 48% of mutation-positive women [<a class="bk_pop" href="#CDR0000062855_rl_271_208">208</a>] and by 100% of mutation-positive women in a smaller series [<a class="bk_pop" href="#CDR0000062855_rl_271_249">249</a>] of women undergoing testing at the time of diagnosis. Of women in whom no mutation was found, 24% also opted for bilateral RRM. Four percent of the test decliners also underwent bilateral RRM. Among mutation carriers, predictors of bilateral RRM included whether patients reported that their physicians had recommended <i>BRCA1/BRCA2</i> testing and bilateral RRM before testing, and whether they received a positive test result.[<a class="bk_pop" href="#CDR0000062855_rl_271_208">208</a>] Data are lacking on quality-of-life outcomes for women who undergo RRM after genetic testing that is performed at the time of diagnosis.</p><p id="CDR0000062855__1408">A prospective study from the Netherlands evaluated long-term psychological outcomes of offering women with breast cancer genetic counseling and, if indicated, genetic testing at the onset of breast radiation for treatment of their primary breast cancer. Of those who were approached for counseling, some underwent genetic testing and chose to receive their result (n = 58), some were approached but did not fulfill referral criteria (n = 118), and some declined the option of counseling/testing (n = 44). Another subset of women undergoing radiation therapy was not approached for counseling (n = 182) but was followed using the same measures. Psychological distress was measured at baseline and at 4, 11, 27, and 43 weeks after initial consultation for radiation therapy. No differences were detected in general anxiety, depression or breast cancer–specific distress across all four groups.[<a class="bk_pop" href="#CDR0000062855_rl_271_250">250</a>]</p><p id="CDR0000062855__1020">A retrospective questionnaire study of 583 women with a personal and family history of breast cancer and who underwent contralateral prophylactic mastectomy between 1960 and 1993 measured overall satisfaction after mastectomy and factors influencing satisfaction and dissatisfaction with this procedure.[<a class="bk_pop" href="#CDR0000062855_rl_271_251">251</a>] The mean time of follow-up was 10.3 years after prophylactic surgery. Overall, 83% of all participants stated they were satisfied or very satisfied, 8% were neutral, and 9% were dissatisfied with contralateral prophylactic mastectomy. Most women also reported favorable effects or no change in their self-esteem, level of stress, and emotional stability after surgery (88%, 83%, and 88%, respectively). Despite the high levels of overall satisfaction, 33% reported negative body image, 26% reported a reduced sense of femininity, and 23% reported a negative effect on sexual relationships. The type of surgical procedure also affected levels of satisfaction. The authors attributed this difference to the high rate of unanticipated reoperations in the group of women having subcutaneous mastectomy (43%) versus the group having simple mastectomy (15%) (<i>P</i> < .0001). Limitations to this study are mostly related to the time period during which participants had their surgery (i.e., availability of surgical reconstructive option).[<a class="bk_pop" href="#CDR0000062855_rl_271_251">251</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_252">252</a>] None of these women had genetic testing for mutations in the <i>BRCA1/BRCA2</i> genes. Nevertheless, this study shows that while most women in this group were satisfied with contralateral prophylactic mastectomy, all women reported at least one adverse outcome. </p><p id="CDR0000062855__1225">Another study compared long-term quality-of-life outcomes in 195 women after bilateral RRM performed between 1979 and 1999 versus 117 women at high risk of breast cancer opting for screening. No statistically significant differences were detected between the groups for psychosocial outcomes. Eighty-four percent of those opting for surgery reported satisfaction with their decision. Sixty-one percent of women from both the surgery and screening groups reported being very much or quite a bit contented with their quality of life.[<a class="bk_pop" href="#CDR0000062855_rl_271_253">253</a>]</p><p id="CDR0000062855__1398">In a study of psychosocial outcomes associated with RRM and immediate reconstruction, 61 high-risk women (27 mutation carriers, others with high-risk family history), 31 of whom had a prior history of breast cancer, were evaluated on average 3 to 4 years after surgery.[<a class="bk_pop" href="#CDR0000062855_rl_271_254">254</a>] The study utilized questions designed to elicit yes versus no responses and found that the surgery was well-tolerated with 83% of
|
||
participants reporting that the results of their reconstructive surgery were as they expected, 90% reporting that they had received adequate preoperative information, none reporting that they regretted the surgery, and all reporting that
|
||
they would choose the same
|
||
route if they had to do it again. Satisfaction with the results ranged from 74% satisfied with the shape of their breasts to 89% satisfied with the appearance of the scarring. Comparison of this group to normative samples on quality-of-life indicators (Short Form 36 Health Survey Questionnaire [SF-36]; Hospital Anxiety and Depression Scale questionnaire scores) indicated no reductions in quality of life in these women.</p><p id="CDR0000062855__1399">A qualitative study examining material on the <a href="http://www.facingourrisk.org/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">FORCE</a> website posted by 21 high-risk women (<i>BRCA1/BRCA2</i> positive) undergoing RRM showed that these women anticipated and received negative reactions from friends and family regarding the surgery, and that they managed disclosure in ways to maintain emotional support and self-protection for their decision. Many of the women expressed a relief from intrusive breast cancer thoughts and worry, and were satisfied with the cosmetic result of their surgery.[<a class="bk_pop" href="#CDR0000062855_rl_271_255">255</a>]</p><p id="CDR0000062855__1400">In contrast, another study examined long-term psychosocial outcomes in 684 women who had had bilateral or contralateral RRM on average 9 years before assessment.[<a class="bk_pop" href="#CDR0000062855_rl_271_256">256</a>] A majority of women (59%) also had reconstructive surgery. Interestingly, based on a Likert scale, 85% of women reported that they were satisfied or very satisfied with their decision to have an RRM. However, in qualitative interviews, a large number of women went on to describe dissatisfaction or negative psychosocial outcomes associated with surgery. The authors coded the responses as negative when women reported still being anxious about their breast cancer risk and/or reported negative feelings about their body image, pain, and sexuality. Seventy-nine percent of the women providing negative comments and 84% of those making mixed comments (mixture of satisfaction and dissatisfaction) responded that they were either satisfied or very satisfied with their decision. Twice as many women with bilateral mastectomy made negative and mixed comments than did women with contralateral mastectomy. The areas of most concern were body image, problems with breast implants, pain after surgery, and sexuality. The authors proposed that those who had undergone contralateral procedures had already been treated for cancer, while those who had undergone bilateral procedures had not been treated previously, and this may partially account for the differences in satisfaction between the two groups. These findings suggest that women's satisfaction with RRM may be tempered by their complex reactions over time. </p><p id="CDR0000062855__1592">In a qualitative study of 108 women who underwent or were considering RRM, more than half of those <i>who had RRM</i> felt that presurgical consultation with a psychologist was advisable; nearly two-thirds thought that postsurgical consultation was also appropriate. All of the women <i>who were considering RRM</i> believed that psychological consultation before surgery would facilitate decision-making.[<a class="bk_pop" href="#CDR0000062855_rl_271_257">257</a>]</p></div><div id="CDR0000062855__1402"><h4>Risk-reducing salpingo-oophorectomy</h4><p id="CDR0000062855__937">A retrospective self-administered survey of 40 women aged 35 to 74 years at time of RRSO (57.5% were younger than 50 years), who had undergone the procedure through the Ontario Ministry of Health due to a family history of ovarian cancer, found that RRSO resulted in a significant reduction in perceived ovarian cancer risk. Fifty-seven percent identified a
|
||
decrease in perceived risk as a benefit of RRSO (35% did not comment on RRSO benefits) and 49% reported that they would repeat RRSO to decrease cancer risk. The overall quality-of-life scores were consistent with those published for women who are menopausal or participating in hormone studies.[<a class="bk_pop" href="#CDR0000062855_rl_271_258">258</a>] Quality of life in 59 women who underwent RRSO was assessed at 24 months postprocedure.[<a class="bk_pop" href="#CDR0000062855_rl_271_259">259</a>] Overall quality of life was similar to the general population and breast cancer survivors, with approximately 20% reporting depression. The 30% of subjects reporting vaginal dryness and dyspareunia were more likely to report dissatisfaction with the procedure. </p><p id="CDR0000062855__2419">A Canadian prospective study examined the impact of RRSO on menopausal symptoms and sexual functioning before surgery and then 1 year later in a sample of 114 women with known <i>BRCA1/2</i> mutations.[<a class="bk_pop" href="#CDR0000062855_rl_271_260">260</a>] Satisfaction with the decision to undergo RRSO was high regardless of symptoms reported. Those who were premenopausal at the time of surgery (n = 75) experienced a worsening of symptoms and a decline in sexual functioning. HRT addressed vaginal dryness and dyspareunia but not declines in sexual pleasure. HRT also resulted in fewer moderate to severe hot flashes. </p><p id="CDR0000062855__1625">Additional work reported by this group found that the majority of the 127 women who had undergone RRSO 1 year previously (75 with <i>BRCA1</i> mutations; 52 with <i>BRCA2</i> mutations) felt that RRSO reduced their risk of both breast and ovarian cancer.[<a class="bk_pop" href="#CDR0000062855_rl_271_261">261</a>] There was a wide range of risk perceptions for ovarian cancer noted in the group. Twenty percent of <i>BRCA1</i> and <i>BRCA2</i> mutation carriers thought that their risk of ovarian cancer was completely eliminated; others had an inflated perception of their ovarian cancer risk both before and after surgery. A small group of these women were further surveyed at about 3 years postsurgery and their risk perceptions did not change significantly during this extended time period. These findings suggest that important misperceptions about ovarian cancer risk may persist after RRSO. Additional genetic education and counseling may be warranted.</p><p id="CDR0000062855__1046">A larger study assessed quality of life in women at high risk of ovarian cancer who opted for periodic gynecologic screening (GS) versus those who underwent RRSO. Eight hundred forty-six high-risk women, 44% of whom underwent RRSO and 56% of whom chose GS, completed questionnaires evaluating quality of life, cancer-specific distress, endocrine symptoms, and sexual functioning.[<a class="bk_pop" href="#CDR0000062855_rl_271_262">262</a>] Women in the RRSO group were a mean of 2.8 ±1.9 years from surgery and women in the GS group were a mean of 4.3 years from their first visit to a gynecologist for high-risk management. No statistical difference in overall quality of life was detected between the RRSO and GS groups. When compared with the GS group, women who underwent RRSO had poorer sexual functioning and more endocrine symptoms such as vaginal dryness, dyspareunia, and hot flashes. Women who underwent RRSO experienced lower levels of breast and ovarian cancer distress and had a more favorable perception of cancer risk.</p><p id="CDR0000062855__2420">Women (N = 182) at risk of hereditary breast and ovarian cancer referred for genetic counseling were surveyed concerning their satisfaction with their choice of either RRSO or periodic screening (PS) (biannual pelvic examination with TVUS and CA-125 determination) to manage their ovarian cancer risk.[<a class="bk_pop" href="#CDR0000062855_rl_271_263">263</a>] Overall satisfaction with both options was extremely high, but highest among those who chose RRSO over PS. There were no other demographic or clinical factors that distinguished satisfaction level. There was higher decisional ambivalence among those who chose PS.</p><p id="CDR0000062855__2386">A retrospective study assessed 98 <i>BRCA</i> mutation carriers who underwent RRSO about their preoperative counseling regarding symptoms to expect after surgery.[<a class="bk_pop" href="#CDR0000062855_rl_271_264">264</a>] The mean age at RRSO was 45.5 years (range, ages 32–63 years). Eighty-five percent pursued RRSO after learning that they harbored a <i>BRCA</i> mutation, and 48.0% were premenopausal at the time of surgery. Participants reported ‘‘frequent’’ or ‘‘very frequent’’ postsurgical symptoms of vaginal dryness (52.1%), changes in interest in sex (50.0%), sleep disturbances (46.7%), changes in sex life (43.9%), and hot flashes (42.9%). Only vaginal dryness and hot flashes were commonly recalled to have been addressed preoperatively. While 96% would have the surgery again, participants reported that the discussion of the impact of surgery on their sex life (59.2%), risk of coronary heart disease (57.1%), and the availability of sex counseling (57.1%) would have been helpful. </p></div></div><div id="CDR0000062855__327"><h3>Interventions: Psychological</h3><p id="CDR0000062855__328">Several psychological interventions have been proposed for women who may
|
||
have hereditary risk of breast cancer, but few of these have been rigorously
|
||
tested. Issues faced by these women include the following:
|
||
</p><ul id="CDR0000062855__329"><li class="half_rhythm"><div>Confronting the meaning of one’s risk status and venting strong
|
||
feelings of fear of harm, disfigurement, pain, or death.</div></li><li class="half_rhythm"><div>Addressing guilt about passing on genetic risk or not doing enough for
|
||
loved ones.</div></li><li class="half_rhythm"><div>Managing stress, cancer-related worry, and intrusive thoughts.</div></li><li class="half_rhythm"><div>Coaching in problem-solving.</div></li><li class="half_rhythm"><div>Facilitating effective decision-making strategies and teaching positive,
|
||
active coping behaviors.</div></li></ul><p id="CDR0000062855__330">Psychotherapy for women interested in prophylactic mastectomy is discussed in one
|
||
report.[<a class="bk_pop" href="#CDR0000062855_rl_271_265">265</a>] Another recommends rehearsal of affective state in the context of
|
||
all potential outcomes of cancer genetic testing for <i>BRCA1/BRCA2</i>.[<a class="bk_pop" href="#CDR0000062855_rl_271_266">266</a>] As genetic
|
||
testing programs grow and the psychological outcomes and behavioral impact of
|
||
testing are further defined, there will be an increasing demand for
|
||
interventions to maximize the benefits of cancer genetic testing and minimize
|
||
the risks to carriers and family members.
|
||
</p><p id="CDR0000062855__904">A randomized trial with 126 <i>BRCA1/BRCA2</i> mutation carriers evaluated whether psychological and behavioral outcomes of <i>BRCA1/BRCA2</i> testing are improved among mutation carriers by providing a psychosocial telephone counseling intervention in addition to standard genetic counseling.[<a class="bk_pop" href="#CDR0000062855_rl_271_267">267</a>] The intervention consisted of five 60- to 90-minute telephone counseling sessions. The first session was a semistructured clinical assessment interview designed to allow the mutation carrier to describe her experiences and reactions to <i>BRCA</i> testing results. The second through the fourth telephone sessions were individualized to the concerns raised by the woman in the domains of making medical decisions, managing family concerns, and emotional reactions after the receipt of a positive <i>BRCA1/BRCA2</i> result. The final telephone session focused on integration and closure on the issues raised and implementation of a plan for short-term and long-term goals established during the telephone intervention. Women most likely to complete the intervention were those who did not have a personal history of cancer; those who had higher levels of cancer-specific distress; those who were college graduates; and those who were employed. Outcome data from this study has not yet been reported. </p><p id="CDR0000062855__331">A pilot study demonstrated the usefulness of a six-session psychoeducational
|
||
support group for women at high genetic risk of breast cancer who were
|
||
considering prophylactic mastectomy. The themes for the group sessions
|
||
included overestimation of and anxiety about risk, desire for hard data,
|
||
emotional impact of watching a mother die of breast cancer, concerns about
|
||
spouse reactions, self-image and body image, the decision-making process, and
|
||
confusion about whom to trust in decision-making. Both the participants and the
|
||
multidisciplinary leaders concluded that as a supplement to individual
|
||
counseling, a support group is a beneficial and cost-effective treatment
|
||
modality.[<a class="bk_pop" href="#CDR0000062855_rl_271_268">268</a>]
|
||
</p><p id="CDR0000062855__2295">A prospective study from the Netherlands [<a class="bk_pop" href="#CDR0000062855_rl_271_269">269</a>] involving 163 newly-identified <i>BRCA</i> mutation carriers with no history of cancer considered the effects of psychoeducational support sessions on completion of intended risk management preferences (breast cancer surveillance or prophylactic mastectomy). All were offered the opportunity to participate in eight sessions focused on psychosocial (five sessions) and medical information (three sessions) after the receipt of test results. The number of women with a preference for mastectomy after receipt of test results who actually had a mastectomy at follow-up (median 2 years) was higher in the group that attended the psychoeducational support sessions than among those who did not attend (89% and 63%, respectively; OR, 4.8; <i>P</i> = .04). </p><p id="CDR0000062855__1193">Women who called the National Cancer Institute's Cancer Information Service seeking information about breast or ovarian cancer risk, risk assessment, or cancer genetic testing, were randomly assigned to receive (1) general information about cancer risk and a referral to testing and counseling services or (2) an educational intervention designed to increase knowledge and understanding about inherited cancer risk, personal history of cancer, and the benefits and limitations of genetic testing. In the group receiving the educational intervention, intention to obtain genetic testing decreased among women at average breast cancer risk (as determined by the Gail model) and increased among women at high risk. Among average risk women, those in the intervention group identified as high monitors (i.e., those who seek and pay greater attention to threatening health-related information) demonstrated an increase in knowledge and breast cancer risk perceptions compared with low monitors (i.e., those who avoid attending to threatening health-related information).[<a class="bk_pop" href="#CDR0000062855_rl_271_270">270</a>]</p><p id="CDR0000062855__2662">Other minimally intensive interventions (e.g., leaflets) have been explored and show promise in reducing psychological distress while genetic testing results are pending and after risk disclosure.[<a class="bk_pop" href="#CDR0000062855_rl_271_271">271</a>] Additional studies are needed to examine this type of intervention, which is more readily disseminated on a wider scale.</p></div><div id="CDR0000062855__332"><h3>Behavioral Outcomes</h3><p id="CDR0000062855__333">A study [<a class="bk_pop" href="#CDR0000062855_rl_271_272">272</a>] of screening behaviors of 216 self-referred, high-risk (>10% risk of carrying a <i>BRCA1/BRCA2</i> mutation) women who are members of hereditary breast cancer families found a range of screening practices. Even the presence of known mutations in their families was not associated with good adherence to recommended screening practices. Sixty-nine percent of women aged 50 to 64 years and 83% of women aged 40 to 49 years had had a screening mammogram in the previous year. Twenty percent of participants had ever had a CA-125 test and 31% had ever had a pelvic ultrasound or TVUS. Further analysis of this study population [<a class="bk_pop" href="#CDR0000062855_rl_271_272">272</a>] looking specifically at 107 women with informative <i>BRCA</i> test results found good use of breast cancer screening, though the uptake rate in younger carriers is lower. The reason for the lower uptake rate was not explored in this study.[<a class="bk_pop" href="#CDR0000062855_rl_271_273">273</a>] One survey of screening behaviors among women at increased risk of breast/ovarian cancer identified physician recommendations as a significant factor in adherence to screening.[<a class="bk_pop" href="#CDR0000062855_rl_271_274">274</a>] </p><p id="CDR0000062855__1021">While motivations cited for pursuing genetic testing often include the expectation that mutation carriers will be more compliant with breast and/or ovarian screening recommendations,[<a class="bk_pop" href="#CDR0000062855_rl_271_272">272</a>,<a class="bk_pop" href="#CDR0000062855_rl_271_275">275</a>-<a class="bk_pop" href="#CDR0000062855_rl_271_277">277</a>] limited data exist about whether participants in genetic testing alter their screening behaviors over time and about other variables that may influence those behaviors, such as insurance coverage and physician recommendations or attitudes.
|
||
The impact of cancer genetic counseling on screening behaviors was assessed in a U.K. study of 293 women followed for 12 months postcounseling at four cancer genetics clinics.[<a class="bk_pop" href="#CDR0000062855_rl_271_278">278</a>] BSE, CBE, and mammography were significantly increased after counseling; however, gaps in adherence to recommendations were noted: 38% of women aged 35 to 49 years had not had a mammogram by 12 months postcounseling. BSE was not done by most women at the recommended time and frequency. </p><p id="CDR0000062855__334">This is a critical issue not only for women testing positive, but also for
|
||
adherence to screening for those testing negative and those who have
|
||
received <a href="/books/n/pdqcis/glossary_gen/def-item/glossary_gen_CDR0000556497/" class="def">indeterminate</a> results or choose not to receive their results. It is
|
||
possible that adherence actually diminishes with a decrease in the perceived
|
||
risk that may result from a negative genetic test result.
|
||
</p><p id="CDR0000062855__335">In addition, while there is still some question regarding the link between
|
||
cancer-related worry and breast cancer screening behavior, accumulating
|
||
evidence appears to support a linear rather than a curvilinear relationship.
|
||
That is, for some time, the data were not consistent; some data supported the
|
||
hypothesis that mild-to-moderate worry may increase adherence, while excessive
|
||
worry may actually decrease the utilization of recommended screening practices.
|
||
Other reports support the notion that a linear relationship is more likely;
|
||
that is, more worry increases adherence to screening recommendations. Few
|
||
studies, however, have followed women to assess their health behaviors
|
||
after genetic testing. Thus, a negative test result leading to decreased
|
||
worry could theoretically result in decreased screening adherence. A large study found that patient compliance with screening practices was not related to general or screening-specific anxiety—with the exception of BSE, for which compliance is negatively associated with procedure-specific anxiety.[<a class="bk_pop" href="#CDR0000062855_rl_271_66">66</a>] Further
|
||
research designed to clarify this potential concern would highlight the need
|
||
for comprehensive genetic counseling to discuss the need for follow-up
|
||
screening.
|
||
</p><p id="CDR0000062855__336">Further complicating this area of research are issues such as the baseline rate
|
||
of mammography adherence among women older than 40 or 50 years before genetic
|
||
testing. More specifically, the ability to note a significant difference in
|
||
adherence on this measure may be affected by the high adherence rate to this
|
||
screening behavior before genetic testing by women undergoing such testing. It
|
||
may be easier to find significant changes in mammography use among women with a
|
||
family history of breast cancer who test positive. Finally, adherence over
|
||
time will likely be affected by how women undergoing genetic
|
||
testing and their caregivers perceive the efficacy of many of the screening options
|
||
in question, such as mammography for younger women, BSE,
|
||
and ovarian cancer screening (periodic vaginal ultrasound and serum CA-125
|
||
measurements), along with the value of preventive interventions.</p><p id="CDR0000062855__337">The issue of screening decision-making and adherence among women undergoing
|
||
genetic testing for breast and ovarian cancer is the subject of several ongoing
|
||
trials, and an area of much needed ongoing study. </p></div><div id="CDR0000062855_rl_271"><h3>References</h3><ol><li><div class="bk_ref" id="CDR0000062855_rl_271_1">Ropka ME, Wenzel J, Phillips EK, et al.: Uptake rates for breast cancer genetic testing: a systematic review. Cancer Epidemiol Biomarkers Prev 15 (5): 840-55, 2006. [<a href="https://pubmed.ncbi.nlm.nih.gov/16702359" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16702359</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_2">Schwartz MD, Lerman C, Brogan B, et al.: Utilization of BRCA1/BRCA2 mutation testing in newly diagnosed breast cancer patients. Cancer Epidemiol Biomarkers Prev 14 (4): 1003-7, 2005. [<a href="https://pubmed.ncbi.nlm.nih.gov/15824179" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 15824179</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_3">Kieran S, Loescher LJ, Lim KH: The role of financial factors in acceptance of clinical BRCA genetic testing. Genet Test 11 (1): 101-10, 2007. [<a href="https://pubmed.ncbi.nlm.nih.gov/17394399" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 17394399</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_4">Susswein LR, Skrzynia C, Lange LA, et al.: Increased uptake of BRCA1/2 genetic testing among African American women with a recent diagnosis of breast cancer. J Clin Oncol 26 (1): 32-6, 2008. 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[<a href="https://pubmed.ncbi.nlm.nih.gov/12088120" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 12088120</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_246">Bresser PJ, Seynaeve C, Van Gool AR, et al.: The course of distress in women at increased risk of breast and ovarian cancer due to an (identified) genetic susceptibility who opt for prophylactic mastectomy and/or salpingo-oophorectomy. Eur J Cancer 43 (1): 95-103, 2007. [<a href="https://pubmed.ncbi.nlm.nih.gov/17095208" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 17095208</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_247">Frost MH, Schaid DJ, Sellers TA, et al.: Long-term satisfaction and psychological and social function following bilateral prophylactic mastectomy. JAMA 284 (3): 319-24, 2000. [<a href="https://pubmed.ncbi.nlm.nih.gov/10891963" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 10891963</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_248">Metcalfe KA, Esplen MJ, Goel V, et al.: Psychosocial functioning in women who have undergone bilateral prophylactic mastectomy. Psychooncology 13 (1): 14-25, 2004. [<a href="https://pubmed.ncbi.nlm.nih.gov/14745742" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 14745742</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_249">Weitzel JN, McCaffrey SM, Nedelcu R, et al.: Effect of genetic cancer risk assessment on surgical decisions at breast cancer diagnosis. Arch Surg 138 (12): 1323-8; discussion 1329, 2003. [<a href="https://pubmed.ncbi.nlm.nih.gov/14662532" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 14662532</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_250">Schlich-Bakker KJ, Ausems MG, Schipper M, et al.: BRCA1/2 mutation testing in breast cancer patients: a prospective study of the long-term psychological impact of approach during adjuvant radiotherapy. Breast Cancer Res Treat 109 (3): 507-14, 2008. [<a href="/pmc/articles/PMC2668630/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC2668630</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/17674198" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 17674198</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_251">Frost MH, Slezak JM, Tran NV, et al.: Satisfaction after contralateral prophylactic mastectomy: the significance of mastectomy type, reconstructive complications, and body appearance. J Clin Oncol 23 (31): 7849-56, 2005. [<a href="https://pubmed.ncbi.nlm.nih.gov/16204003" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16204003</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_252">Schwartz MD: Contralateral prophylactic mastectomy: efficacy, satisfaction, and regret. J Clin Oncol 23 (31): 7777-9, 2005. [<a href="https://pubmed.ncbi.nlm.nih.gov/16204004" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16204004</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_253">Geiger AM, Nekhlyudov L, Herrinton LJ, et al.: Quality of life after bilateral prophylactic mastectomy. Ann Surg Oncol 14 (2): 686-94, 2007. [<a href="https://pubmed.ncbi.nlm.nih.gov/17103066" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 17103066</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_254">Isern AE, Tengrup I, Loman N, et al.: Aesthetic outcome, patient satisfaction, and health-related quality of life in women at high risk undergoing prophylactic mastectomy and immediate breast reconstruction. J Plast Reconstr Aesthet Surg 61 (10): 1177-87, 2008. [<a href="https://pubmed.ncbi.nlm.nih.gov/17938010" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 17938010</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_255">Kenen RH, Shapiro PJ, Hantsoo L, et al.: Women with BRCA1 or BRCA2 mutations renegotiating a post-prophylactic mastectomy identity: self-image and self-disclosure. J Genet Couns 16 (6): 789-98, 2007. [<a href="https://pubmed.ncbi.nlm.nih.gov/17917796" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 17917796</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_256">Altschuler A, Nekhlyudov L, Rolnick SJ, et al.: Positive, negative, and disparate--women's differing long-term psychosocial experiences of bilateral or contralateral prophylactic mastectomy. Breast J 14 (1): 25-32, 2008 Jan-Feb. [<a href="https://pubmed.ncbi.nlm.nih.gov/18186862" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 18186862</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_257">Patenaude AF, Orozco S, Li X, et al.: Support needs and acceptability of psychological and peer consultation: attitudes of 108 women who had undergone or were considering prophylactic mastectomy. Psychooncology 17 (8): 831-43, 2008. [<a href="/pmc/articles/PMC4133134/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC4133134</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/18636423" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 18636423</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_258">Elit L, Esplen MJ, Butler K, et al.: Quality of life and psychosexual adjustment after prophylactic oophorectomy for a family history of ovarian cancer. Fam Cancer 1 (3-4): 149-56, 2001. [<a href="https://pubmed.ncbi.nlm.nih.gov/14574171" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 14574171</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_259">Robson M, Hensley M, Barakat R, et al.: Quality of life in women at risk for ovarian cancer who have undergone risk-reducing oophorectomy. Gynecol Oncol 89 (2): 281-7, 2003. [<a href="https://pubmed.ncbi.nlm.nih.gov/12713992" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 12713992</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_260">Finch A, Metcalfe KA, Chiang JK, et al.: The impact of prophylactic salpingo-oophorectomy on menopausal symptoms and sexual function in women who carry a BRCA mutation. Gynecol Oncol 121 (1): 163-8, 2011. [<a href="https://pubmed.ncbi.nlm.nih.gov/21216453" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21216453</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_261">Finch A, Metcalfe K, Lui J, et al.: Breast and ovarian cancer risk perception after prophylactic salpingo-oophorectomy due to an inherited mutation in the BRCA1 or BRCA2 gene. Clin Genet 75 (3): 220-4, 2009. [<a href="https://pubmed.ncbi.nlm.nih.gov/19263514" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19263514</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_262">Madalinska JB, Hollenstein J, Bleiker E, et al.: Quality-of-life effects of prophylactic salpingo-oophorectomy versus gynecologic screening among women at increased risk of hereditary ovarian cancer. J Clin Oncol 23 (28): 6890-8, 2005. [<a href="https://pubmed.ncbi.nlm.nih.gov/16129845" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16129845</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_263">Westin SN, Sun CC, Lu KH, et al.: Satisfaction with ovarian carcinoma risk-reduction strategies among women at high risk for breast and ovarian carcinoma. Cancer 117 (12): 2659-67, 2011. [<a href="/pmc/articles/PMC4254830/" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pmc">PMC free article<span class="bk_prnt">: PMC4254830</span></a>] [<a href="https://pubmed.ncbi.nlm.nih.gov/21656744" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 21656744</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_264">Campfield Bonadies D, Moyer A, Matloff ET: What I wish I'd known before surgery: BRCA carriers' perspectives after bilateral salipingo-oophorectomy. Fam Cancer 10 (1): 79-85, 2011. [<a href="https://pubmed.ncbi.nlm.nih.gov/20852945" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 20852945</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_265">Massie MJ, Muskin PR, Stewart DE: Psychotherapy with a woman at high risk for developing breast cancer. Gen Hosp Psychiatry 20 (3): 189-97, 1998. [<a href="https://pubmed.ncbi.nlm.nih.gov/9650038" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 9650038</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_266">Shoda Y, Mischel W, Miller SM, et al.: Psychological interventions and genetic testing: facilitating informed decisions about BRCA1/2 cancer susceptibility. J Clin Psychol Med Settings 5 (1): 3-17, 1998.</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_267">Halbert CH, Wenzel L, Lerman C, et al.: Predictors of participation in psychosocial telephone counseling following genetic testing for BRCA1 and BRCA2 mutations. Cancer Epidemiol Biomarkers Prev 13 (5): 875-81, 2004. [<a href="https://pubmed.ncbi.nlm.nih.gov/15159322" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 15159322</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_268">Karp J, Brown KL, Sullivan MD, et al.: The prophylactic mastectomy dilemma: a support group for women at high genetic risk for breast cancer. J Genet Counsel 8 (3): 163-73, 1999. [<a href="https://pubmed.ncbi.nlm.nih.gov/26142109" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 26142109</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_269">Landsbergen KM, Prins JB, Kamm YJ, et al.: Female BRCA mutation carriers with a preference for prophylactic mastectomy are more likely to participate an educational-support group and to proceed with the preferred intervention within 2 years. Fam Cancer 9 (2): 213-20, 2010. [<a href="https://pubmed.ncbi.nlm.nih.gov/19967456" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 19967456</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_270">Miller SM, Fleisher L, Roussi P, et al.: Facilitating informed decision making about breast cancer risk and genetic counseling among women calling the NCI's Cancer Information Service. J Health Commun 10 (Suppl 1): 119-36, 2005. [<a href="https://pubmed.ncbi.nlm.nih.gov/16377604" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 16377604</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_271">Phelps C, Bennett P, Hood K, et al.: A self-help coping intervention can reduce anxiety and avoidant health behaviours whilst waiting for cancer genetic risk information: results of a phase III randomised trial. Psychooncology 22 (4): 837-44, 2013. [<a href="https://pubmed.ncbi.nlm.nih.gov/22473731" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 22473731</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_272">Isaacs C, Peshkin BN, Schwartz M, et al.: Breast and ovarian cancer screening practices in healthy women with a strong family history of breast or ovarian cancer. Breast Cancer Res Treat 71 (2): 103-12, 2002. [<a href="https://pubmed.ncbi.nlm.nih.gov/11881908" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 11881908</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_273">Peshkin BN, Schwartz MD, Isaacs C, et al.: Utilization of breast cancer screening in a clinically based sample of women after BRCA1/2 testing. Cancer Epidemiol Biomarkers Prev 11 (10 Pt 1): 1115-8, 2002. [<a href="https://pubmed.ncbi.nlm.nih.gov/12376518" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 12376518</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_274">Tinley ST, Houfek J, Watson P, et al.: Screening adherence in BRCA1/2 families is associated with primary physicians' behavior. Am J Med Genet A 125 (1): 5-11, 2004. [<a href="https://pubmed.ncbi.nlm.nih.gov/14755459" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 14755459</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_275">Lerman C, Seay J, Balshem A, et al.: Interest in genetic testing among first-degree relatives of breast cancer patients. Am J Med Genet 57 (3): 385-92, 1995. [<a href="https://pubmed.ncbi.nlm.nih.gov/7677139" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 7677139</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_276">Struewing JP, Lerman C, Kase RG, et al.: Anticipated uptake and impact of genetic testing in hereditary breast and ovarian cancer families. Cancer Epidemiol Biomarkers Prev 4 (2): 169-73, 1995. [<a href="https://pubmed.ncbi.nlm.nih.gov/7742725" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 7742725</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_277">Jacobsen PB, Valdimarsdottier HB, Brown KL, et al.: Decision-making about genetic testing among women at familial risk for breast cancer. Psychosom Med 59 (5): 459-66, 1997 Sep-Oct. [<a href="https://pubmed.ncbi.nlm.nih.gov/9316177" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 9316177</span></a>]</div></li><li><div class="bk_ref" id="CDR0000062855_rl_271_278">Watson M, Kash KM, Homewood J, et al.: Does genetic counseling have any impact on management of breast cancer risk? Genet Test 9 (2): 167-74, 2005. [<a href="https://pubmed.ncbi.nlm.nih.gov/15943558" ref="pagearea=cite-ref&targetsite=entrez&targetcat=link&targettype=pubmed">PubMed<span class="bk_prnt">: 15943558</span></a>]</div></li></ol></div></div><div id="CDR0000062855__589"><h2 id="_CDR0000062855__589_">Changes to This Summary (10/01/2015)</h2><p id="CDR0000062855__1182">The PDQ cancer information summaries are reviewed regularly and updated as new information becomes available. This section describes the latest changes made to this summary as of the date above.</p><p id="CDR0000062855__2791"><b><a href="#CDR0000062855__1">Introduction</a></b></p><p id="CDR0000062855__2840">The <a href="#CDR0000062855__66">Models for Prediction of Breast and Gynecologic Cancer Risk</a> subsection was comprehensively reviewed and extensively
|
||
revised.</p><p id="CDR0000062855__2853"><b><a href="#CDR0000062855__88">High-Penetrance Breast and/or Gynecologic Cancer Susceptibility Genes</a></b></p><p id="CDR0000062855__2841">The <a href="#CDR0000062855__2264">Models for prediction of the likelihood of a BRCA1 or
|
||
BRCA2 mutation</a> subsection was comprehensively reviewed and extensively
|
||
revised.</p><p id="CDR0000062855__2842">Added <a href="#CDR0000062855__2818">text</a> about a study from the Consortium of
|
||
Investigators of Modifiers of <i>BRCA1/2</i> comprising
|
||
19,581 <i>BRCA1</i> mutation carriers and 11,900 <i>BRCA2</i>
|
||
mutation carriers in which data were analyzed to estimate
|
||
hazard ratios for breast cancer and ovarian cancer by mutation type,
|
||
function, and nucleotide position; breast cancer cluster
|
||
regions and ovarian cancer cluster regions were found in
|
||
both genes (cited Rebbeck et al. as reference 122).</p><p id="CDR0000062855__2843"><b><a href="#CDR0000062855__156">Low- and Moderate-Penetrance Genes Associated With Breast and/or Ovarian Cancer</a></b></p><p id="CDR0000062855__2844">Revised <a class="figpopup" href="/books/NBK65767.2/table/CDR0000062855__2837/?report=objectonly" target="object" rid-figpopup="figCDR00000628552837" rid-ob="figobCDR00000628552837">Table 8</a>, Fanconi Anemia Genes and Breast
|
||
Cancer Risk, to categorize genes according to the level of
|
||
associated risk of breast cancer.</p><p id="CDR0000062855__2845">Added <a href="#CDR0000062855__2819">text</a> about a Polish study of more than 12,529
|
||
unselected women with breast cancer and 4,702 controls in
|
||
which <i>PALB2</i> mutations were detected in 116 cases and 10 controls, with an odds ratio of 4.39 for breast cancer (cited Cybulski et al. as reference 32).</p><p id="CDR0000062855__2846">Added <i><a href="#CDR0000062855__2833">RECQL</a></i>
|
||
as a new subsection.</p><p id="CDR0000062855__2847"><b><a href="#CDR0000062855__575">Clinical Management of BRCA Mutation Carriers</a></b></p><p id="CDR0000062855__2848">Added <a href="#CDR0000062855__2820">text</a> about the International Breast Cancer Intervention Study 1 breast cancer prevention trial, in
|
||
which 7,154 women between the ages of 35 and 70 years
|
||
were randomly assigned to receive tamoxifen or placebo for 5 years; at a median follow-up of 16
|
||
years, there was a 29% reduction in risk of breast cancer in
|
||
the tamoxifen arm (cited Cuzick as reference 81).</p><p id="CDR0000062855__2024">Added <a href="#CDR0000062855__2024">level of evidence 1aii</a> for tamoxifen in a high-risk population.</p><p id="CDR0000062855__2849">Added <a href="#CDR0000062855__2237">text</a> about the Gynecologic Oncology
|
||
Group (GOG) 199 study of 966 high-risk
|
||
women in which the incidence of occult cancer was highest
|
||
among <i>BRCA1</i> mutation carriers, followed by <i>BRCA2</i>
|
||
mutation carriers, versus only 0.5% of noncarriers;
|
||
the odds of an occult pathologic finding was fourfold higher
|
||
among postmenopausal women (cited Sherman et al. as reference 157).</p><p id="CDR0000062855__2850"><b><a href="#CDR0000062855__271">Psychosocial Issues in Inherited Breast and Ovarian
|
||
Cancer Syndromes</a></b>
|
||
</p><p id="CDR0000062855__2851">Added <a href="#CDR0000062855__2821">text</a> about a study of 171
|
||
clinic-based patients from a single U.S. institution who tested
|
||
positive for a <i>BRCA</i> mutation in which 20% were
|
||
aware of preimplantation genetic diagnosis (PGD); 72% thought PGD should be offered; and 41% would consider PGD (cited Rich et al. as reference 179).</p><p id="CDR0000062855__disclaimerHP_3">This summary is written and maintained by the <a href="http://www.cancer.gov/publications/pdq/editorial-boards/genetics" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">PDQ Cancer Genetics Editorial Board</a>, which is
|
||
editorially independent of NCI. The summary reflects an independent review of
|
||
the literature and does not represent a policy statement of NCI or NIH. More
|
||
information about summary policies and the role of the PDQ Editorial Boards in
|
||
maintaining the PDQ summaries can be found on the <a href="#CDR0000062855__AboutThis_1">About This PDQ Summary</a> and <a href="http://www.cancer.gov/publications/pdq" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">PDQ® - NCI's Comprehensive Cancer Database</a> pages.
|
||
</p></div><div id="CDR0000062855__AboutThis_1"><h2 id="_CDR0000062855__AboutThis_1_">About This PDQ Summary</h2><div id="CDR0000062855__AboutThis_2"><h3>Purpose of This Summary</h3><p id="CDR0000062855__AboutThis_3">This PDQ cancer information summary for health professionals provides comprehensive, peer-reviewed, evidence-based information about the genetics of breast and gynecologic cancers. It is intended as a resource to inform and assist clinicians who care for cancer patients. It does not provide formal guidelines or recommendations for making health care decisions.</p></div><div id="CDR0000062855__AboutThis_4"><h3>Reviewers and Updates</h3><p id="CDR0000062855__AboutThis_5">This summary is reviewed regularly and updated as necessary by the <a href="http://www.cancer.gov/publications/pdq/editorial-boards/genetics" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">PDQ Cancer Genetics Editorial Board</a>, which is editorially independent of the National Cancer Institute (NCI). The summary reflects an independent review of the literature and does not represent a policy statement of NCI or the National Institutes of Health (NIH).</p><p id="CDR0000062855__AboutThis_22"> Board members review recently published articles each month to determine whether an article should:</p><ul id="CDR0000062855__AboutThis_6"><li class="half_rhythm"><div>be discussed at a meeting,</div></li><li class="half_rhythm"><div>be cited with text, or</div></li><li class="half_rhythm"><div>replace or update an existing article that is already cited.</div></li></ul><p id="CDR0000062855__AboutThis_7">Changes to the summaries are made through a consensus process in which Board members evaluate the strength of the evidence in the published articles and determine how the article should be included in the summary.</p><p>The lead reviewers for Genetics of Breast and Gynecologic Cancers are:</p><ul><li class="half_rhythm"><div>Kathleen A. Calzone, PhD, RN, APNG, FAAN (National Cancer Institute)</div></li><li class="half_rhythm"><div>Ilana Cass, MD (Cedars-Sinai Medical Center)</div></li><li class="half_rhythm"><div>Lee-may Chen, MD (UCSF Helen Diller Family Comprehensive Cancer Center)</div></li><li class="half_rhythm"><div>Mary B. Daly, MD, PhD (Fox Chase Cancer Center)</div></li><li class="half_rhythm"><div>Jennifer Lynn Hay, PhD (Memorial Sloan-Kettering Cancer Center)</div></li><li class="half_rhythm"><div>Jennifer K. Litton, MD (University of Texas, M.D. Anderson Cancer Center)</div></li><li class="half_rhythm"><div>Suzanne M. O'Neill, MS, PhD, CGC (Northwestern University)</div></li><li class="half_rhythm"><div>Tuya Pal, MD, FACMG (H. Lee Moffitt Cancer Center & Research Institute)</div></li><li class="half_rhythm"><div>Beth N. Peshkin, MS, CGC (Lombardi Comprehensive Cancer Center at Georgetown University Medical Center)</div></li><li class="half_rhythm"><div>Susan K. Peterson, PhD, MPH (University of Texas, M.D. Anderson Cancer Center)</div></li><li class="half_rhythm"><div>Mary Beth Terry, PhD (Columbia University Mailman School of Public Health)</div></li><li class="half_rhythm"><div>Susan T. Vadaparampil, PhD, MPH (H. Lee Moffitt Cancer Center & Research Institute)</div></li><li class="half_rhythm"><div>Catharine Wang, PhD, MSc (Boston University School of Public Health)</div></li></ul><p id="CDR0000062855__AboutThis_9">Any comments or questions about the summary content should be submitted to Cancer.gov through the NCI website's <a href="http://www.cancer.gov/contact/email-us" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Email Us</a>. Do not contact the individual Board Members with questions or comments about the summaries. Board members will not respond to individual inquiries.</p></div><div id="CDR0000062855__AboutThis_10"><h3>Levels of Evidence</h3><p id="CDR0000062855__AboutThis_11">Some of the reference citations in this summary are accompanied by a level-of-evidence designation. These designations are intended to help readers assess the strength of the evidence supporting the use of specific interventions or approaches. The PDQ Cancer Genetics Editorial Board uses a <a href="/books/n/pdqcis/CDR0000685387/">formal evidence ranking system</a> in developing its level-of-evidence designations.</p></div><div id="CDR0000062855__AboutThis_12"><h3>Permission to Use This Summary</h3><p id="CDR0000062855__AboutThis_13">PDQ is a registered trademark. Although the content of PDQ documents can be used freely as text, it cannot be identified as an NCI PDQ cancer information summary unless it is presented in its entirety and is regularly updated. However, an author would be permitted to write a sentence such as “NCI’s PDQ cancer information summary about breast cancer prevention states the risks succinctly: [include excerpt from the summary].”</p><p id="CDR0000062855__AboutThis_14">The preferred citation for this PDQ summary is:</p><p id="CDR0000062855__AboutThis_15">National Cancer Institute: PDQ® Genetics of Breast and Gynecologic Cancers. Bethesda, MD: National Cancer Institute. Date last modified <MM/DD/YYYY>. Available at: <a href="http://www.cancer.gov/types/breast/hp/breast-ovarian-genetics-pdq" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">http://www.cancer.gov/types/breast/hp/breast-ovarian-genetics-pdq</a>. Accessed <MM/DD/YYYY>.</p><p id="CDR0000062855__AboutThis_16">Images in this summary are used with permission of the author(s), artist, and/or publisher for use within the PDQ summaries only. Permission to use images outside the context of PDQ information must be obtained from the owner(s) and cannot be granted by the National Cancer Institute. Information about using the illustrations in this summary, along with many other cancer-related images, is available in <a href="http://visualsonline.cancer.gov/" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Visuals Online</a>, a collection of over 2,000 scientific images.
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</p></div><div id="CDR0000062855__AboutThis_17"><h3>Disclaimer</h3><p id="CDR0000062855__AboutThis_19">The information in these summaries should not be used as a basis for insurance reimbursement determinations. More information on insurance coverage is available on Cancer.gov on the <a href="http://www.cancer.gov/about-cancer/managing-care" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Managing Cancer Care</a> page.</p></div><div id="CDR0000062855__AboutThis_20"><h3>Contact Us</h3><p id="CDR0000062855__AboutThis_21">More information about contacting us or receiving help with the Cancer.gov website can be found on our <a href="http://www.cancer.gov/contact" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Contact Us for Help</a> page. Questions can also be submitted to Cancer.gov through the website’s <a href="http://www.cancer.gov/contact/email-us" ref="pagearea=body&targetsite=external&targetcat=link&targettype=uri">Email Us</a>.</p></div></div><div id="CDR0000062855__GetMore_3"><h2 id="_CDR0000062855__GetMore_3_">Get More Information From NCI</h2><p id="CDR0000062855__GetMore_15"><i><b>Call 1-800-4-CANCER</b></i></p><p id="CDR0000062855__GetMore_16">For more information, U.S. residents may call the National Cancer Institute's (NCI's) Cancer Information Service toll-free at 1-800-4-CANCER (1-800-422-6237) Monday through Friday from 8:00 a.m. to 8:00 p.m., Eastern Time. A trained Cancer Information Specialist is available to answer your questions.</p><p id="CDR0000062855__GetMore_25"><i><b>Chat online
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<div xmlns:np="http://ncbi.gov/portal/XSLT/namespace" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"></div><div class="portlet"><div class="portlet_head"><div class="portlet_title"><h3><span>Views</span></h3></div><a name="Shutter" sid="1" href="#" class="portlet_shutter" title="Show/hide content" remembercollapsed="true" pgsec_name="PDF_download" id="Shutter"></a></div><div class="portlet_content"><ul xmlns:np="http://ncbi.gov/portal/XSLT/namespace" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="simple-list"><li><a href="/books/NBK65767.2/?report=reader">PubReader</a></li><li><a href="/books/NBK65767.2/?report=printable">Print View</a></li><li><a data-jig="ncbidialog" href="#_ncbi_dlg_citbx_NBK65767" data-jigconfig="width:400,modal:true">Cite this Page</a><div id="_ncbi_dlg_citbx_NBK65767" style="display:none" title="Cite this Page"><div class="bk_tt">PDQ Cancer Genetics Editorial Board. 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class="bk_col_itm"><a href="/books/NBK65767.4/">NBK65767.4</a></span> November 12, 2015</li><li><span class="bk_col_itm"><a href="/books/NBK65767.3/">NBK65767.3</a></span> October 21, 2015</li><li><span class="bk_col_itm">NBK65767.2</span> October 1, 2015 (Displayed Version)</li><li><span class="bk_col_itm"><a href="/books/NBK65767.1/">NBK65767.1</a></span> August 4, 2015</li></ul></div></div><div class="portlet"><div class="portlet_head"><div class="portlet_title"><h3><span>In this Page</span></h3></div><a name="Shutter" sid="1" href="#" class="portlet_shutter" title="Show/hide content" remembercollapsed="true" pgsec_name="page-toc" id="Shutter"></a></div><div class="portlet_content"><ul xmlns:np="http://ncbi.gov/portal/XSLT/namespace" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="simple-list"><li><a href="#CDR0000062855__1" ref="log$=inpage&link_id=inpage">Introduction</a></li><li><a href="#CDR0000062855__88" ref="log$=inpage&link_id=inpage">High-Penetrance Breast and/or Gynecologic Cancer Susceptibility Genes</a></li><li><a href="#CDR0000062855__156" ref="log$=inpage&link_id=inpage">Low- and Moderate-Penetrance Genes Associated With Breast and/or Ovarian Cancer</a></li><li><a href="#CDR0000062855__575" ref="log$=inpage&link_id=inpage">Clinical Management of <i>BRCA</i> Mutation Carriers</a></li><li><a href="#CDR0000062855__2742" ref="log$=inpage&link_id=inpage">Clinical Management of Other Hereditary Breast and/or Gynecologic Cancer Syndromes</a></li><li><a href="#CDR0000062855__271" ref="log$=inpage&link_id=inpage">Psychosocial Issues in Inherited Breast and Ovarian Cancer Syndromes</a></li><li><a href="#CDR0000062855__589" ref="log$=inpage&link_id=inpage">Changes to This Summary (10/01/2015)</a></li><li><a href="#CDR0000062855__AboutThis_1" ref="log$=inpage&link_id=inpage">About This PDQ Summary</a></li><li><a href="#CDR0000062855__GetMore_3" ref="log$=inpage&link_id=inpage">Get More Information From NCI</a></li></ul></div></div><div 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<a href="https://www.nih.gov/institutes-nih/nih-office-director/office-communications-public-liaison/freedom-information-act-office" class="text-white">FOIA</a><br />
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<a href="https://www.hhs.gov/vulnerability-disclosure-policy/index.html" class="text-white" id="vdp">HHS Vulnerability Disclosure</a></p>
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<p><a class="supportLink text-white" href="https://support.nlm.nih.gov/">Help</a><br />
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<a href="https://www.nlm.nih.gov/accessibility.html" class="text-white">Accessibility</a><br />
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