Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Aug 2;488(7409):100-5.
doi: 10.1038/nature11284.

Dissecting the genomic complexity underlying medulloblastoma

David T W Jones  1 Natalie JägerMarcel KoolThomas ZichnerBarbara HutterMarc SultanYoon-Jae ChoTrevor J PughVolker HovestadtAdrian M StützTobias RauschHans-Jörg WarnatzMarina RyzhovaSebastian BenderDominik SturmSabrina PleierHuriye CinElke PfaffLaura SieberAndrea WittmannMarc RemkeHendrik WittSonja HutterTheophilos TzaridisJoachim WeischenfeldtBenjamin RaederMeryem AvciVyacheslav AmstislavskiyMarc ZapatkaUrsula D WeberQi WangBärbel LasitschkaCynthia C BartholomaeManfred SchmidtChristof von KalleVolker AstChris LawerenzJürgen EilsRolf KabbeVladimir BenesPeter van SluisJan KosterRichard VolckmannDavid ShihMatthew J BettsRobert B RussellSimona CocoGian Paolo ToniniUlrich SchüllerVolkmar HansNorbert GrafYoo-Jin KimCamelia MonoranuWolfgang RoggendorfAndreas UnterbergChristel Herold-MendeTill MildeAndreas E KulozikAndreas von DeimlingOlaf WittEberhard MaassJochen RösslerMartin EbingerMartin U SchuhmannMichael C FrühwaldMartin HasselblattNada JabadoStefan RutkowskiAndré O von BuerenDan WilliamsonSteven C CliffordMartin G McCabeV Peter CollinsStephan WolfStefan WiemannHans LehrachBenedikt BrorsWolfram ScheurlenJörg FelsbergGuido ReifenbergerPaul A NorthcottMichael D TaylorMatthew MeyersonScott L PomeroyMarie-Laure YaspoJan O KorbelAndrey KorshunovRoland EilsStefan M PfisterPeter Lichter
Affiliations

Dissecting the genomic complexity underlying medulloblastoma

David T W Jones et al. Nature. .

Abstract

Medulloblastoma is an aggressively growing tumour, arising in the cerebellum or medulla/brain stem. It is the most common malignant brain tumour in children, and shows tremendous biological and clinical heterogeneity. Despite recent treatment advances, approximately 40% of children experience tumour recurrence, and 30% will die from their disease. Those who survive often have a significantly reduced quality of life. Four tumour subgroups with distinct clinical, biological and genetic profiles are currently identified. WNT tumours, showing activated wingless pathway signalling, carry a favourable prognosis under current treatment regimens. SHH tumours show hedgehog pathway activation, and have an intermediate prognosis. Group 3 and 4 tumours are molecularly less well characterized, and also present the greatest clinical challenges. The full repertoire of genetic events driving this distinction, however, remains unclear. Here we describe an integrative deep-sequencing analysis of 125 tumour-normal pairs, conducted as part of the International Cancer Genome Consortium (ICGC) PedBrain Tumor Project. Tetraploidy was identified as a frequent early event in Group 3 and 4 tumours, and a positive correlation between patient age and mutation rate was observed. Several recurrent mutations were identified, both in known medulloblastoma-related genes (CTNNB1, PTCH1, MLL2, SMARCA4) and in genes not previously linked to this tumour (DDX3X, CTDNEP1, KDM6A, TBR1), often in subgroup-specific patterns. RNA sequencing confirmed these alterations, and revealed the expression of what are, to our knowledge, the first medulloblastoma fusion genes identified. Chromatin modifiers were frequently altered across all subgroups. These findings enhance our understanding of the genomic complexity and heterogeneity underlying medulloblastoma, and provide several potential targets for new therapeutics, especially for Group 3 and 4 patients.

PubMed Disclaimer

Figures

Figure 1
Figure 1. Tetraploidy is a frequent early event in MB tumourigenesis, and mutation rates vary with age and subgroup
a, Distributions of genome-wide somatic mutation allele frequencies (the proportion of sequence reads supporting a mutation) for diploid tumours (with a peak at ~50% for heterozygous events, n=7) and tetraploid cases (with a peak at ~25%, n=7). Insets show centromeric FISH for chromosomes 1 (red) and 11 (green), confirming the predicted ploidy status. b, Top left: Rescaled tumour:germline coverage ratio, indicating copy-number gains (red) or losses (green). Bottom left: B-Allele frequency (BAF) in the tumour at SNP positions which are heterozygous in the germline. Right: Genome alteration print (GAP) of segmented copy number and allele frequency profiles. Chromosomes with predicted 3:0/2:1/3:2 allele ratios show a BAF of ~0/0.33/0.4 and coverage ratios of ~0.75/0.75/1.25. Due to random sampling, the 2:2 allele ratio is slightly below 0.5. c, Genome-wide somatic mutation rates are positively correlated with patient age (n=39). d, Distribution of somatic mutation rates by tumour subgroup (n=39). p-values are according to a Wilcoxon rank-sum test with Bonferroni correction. SHH-p53: SHH-subgroup tumours harbouring a somatic or germline TP53 mutation.
Figure 2
Figure 2. Subgroup specificity of common genetic alterations
Summary of clinical data and recurrent alterations in the combined cohort (n=125). Genes which were found to be significantly mutated by MutSig analysis were included. UPD: uniparental disomy, ND: no material available for conclusive molecular subgroup assignment.
Figure 3
Figure 3. Identification of novel fusion genes in MB
a, Read-depth plot with log2 tumour:germline coverage ratio showing alterations on chromosome 7 in ICGC_MB34. Lines indicate connected segments. b, Schematic of the rearrangement. c, Details of the SHH fusion gene structure and support for its expression, derived from RNA sequencing data.
Figure 4
Figure 4. Integration of mutation, expression and methylation data shows differential regulation of TBR1 and EOMES in medulloblastoma
a, Microarray data showing clear differences in TBR1 and EOMES expression between medulloblastoma subgroups (n=301). b, DNA methylation of TBR1 (n=54), ranging from low (blue) to high (red). Horizontal red bar indicates the region used for correlation analysis in c. c, Expression of TBR1 is tightly correlated with gene methylation (n=54; Pearson’s correlation values, r). SHH tumours show high methylation and virtually no expression, while WNT, Group 3 and Group 4 tumours display a more varied pattern. d, Expression levels of TBR1 (diamonds) and EOMES (circles) are inversely related in Group 4 tumours (n=104).

Similar articles

  • Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations.
    Pugh TJ, Weeraratne SD, Archer TC, Pomeranz Krummel DA, Auclair D, Bochicchio J, Carneiro MO, Carter SL, Cibulskis K, Erlich RL, Greulich H, Lawrence MS, Lennon NJ, McKenna A, Meldrim J, Ramos AH, Ross MG, Russ C, Shefler E, Sivachenko A, Sogoloff B, Stojanov P, Tamayo P, Mesirov JP, Amani V, Teider N, Sengupta S, Francois JP, Northcott PA, Taylor MD, Yu F, Crabtree GR, Kautzman AG, Gabriel SB, Getz G, Jäger N, Jones DT, Lichter P, Pfister SM, Roberts TM, Meyerson M, Pomeroy SL, Cho YJ. Pugh TJ, et al. Nature. 2012 Aug 2;488(7409):106-10. doi: 10.1038/nature11329. Nature. 2012. PMID: 22820256 Free PMC article.
  • Novel mutations target distinct subgroups of medulloblastoma.
    Robinson G, Parker M, Kranenburg TA, Lu C, Chen X, Ding L, Phoenix TN, Hedlund E, Wei L, Zhu X, Chalhoub N, Baker SJ, Huether R, Kriwacki R, Curley N, Thiruvenkatam R, Wang J, Wu G, Rusch M, Hong X, Becksfort J, Gupta P, Ma J, Easton J, Vadodaria B, Onar-Thomas A, Lin T, Li S, Pounds S, Paugh S, Zhao D, Kawauchi D, Roussel MF, Finkelstein D, Ellison DW, Lau CC, Bouffet E, Hassall T, Gururangan S, Cohn R, Fulton RS, Fulton LL, Dooling DJ, Ochoa K, Gajjar A, Mardis ER, Wilson RK, Downing JR, Zhang J, Gilbertson RJ. Robinson G, et al. Nature. 2012 Aug 2;488(7409):43-8. doi: 10.1038/nature11213. Nature. 2012. PMID: 22722829 Free PMC article.
  • Medulloblastoma in the age of molecular subgroups: a review.
    Juraschka K, Taylor MD. Juraschka K, et al. J Neurosurg Pediatr. 2019 Oct 1;24(4):353-363. doi: 10.3171/2019.5.PEDS18381. Epub 2019 Oct 1. J Neurosurg Pediatr. 2019. PMID: 31574483 Review.
  • Rapid diagnosis of medulloblastoma molecular subgroups.
    Schwalbe EC, Lindsey JC, Straughton D, Hogg TL, Cole M, Megahed H, Ryan SL, Lusher ME, Taylor MD, Gilbertson RJ, Ellison DW, Bailey S, Clifford SC. Schwalbe EC, et al. Clin Cancer Res. 2011 Apr 1;17(7):1883-94. doi: 10.1158/1078-0432.CCR-10-2210. Epub 2011 Feb 16. Clin Cancer Res. 2011. PMID: 21325292 Free PMC article.
  • Medulloblastoma, WNT-activated/SHH-activated: clinical impact of molecular analysis and histogenetic evaluation.
    Cambruzzi E. Cambruzzi E. Childs Nerv Syst. 2018 May;34(5):809-815. doi: 10.1007/s00381-018-3765-2. Epub 2018 Mar 26. Childs Nerv Syst. 2018. PMID: 29582169 Review.

Cited by

References

    1. Louis D, et al. The 2007 WHO Classification of Tumours of the Central Nervous System. Acta Neuropathologica. 2007;114:97–109. - PMC - PubMed
    1. Kool M, et al. Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas. Acta Neuropathol. 2012;123:473–484. - PMC - PubMed
    1. Taylor MD, et al. Molecular subgroups of medulloblastoma: the current consensus. Acta Neuropathol. 2012;123:465–472. - PMC - PubMed
    1. Clifford S, et al. Wnt/Wingless Pathway Activation and Chromosome 6 Loss Characterise a Distinct Molecular Sub-Group of Medulloblastomas Associated with a Favourable Prognosis. Cell Cycle. 2006;5:2666–2670. - PubMed
    1. Northcott PA, et al. Medulloblastoma comprises four distinct molecular variants. J Clin Oncol. 2011;29:1408–1414. - PMC - PubMed

Publication types

MeSH terms

Substances