3 years ago

H3-/IDH-wild type pediatric glioblastoma is comprised of molecularly and prognostically distinct subtypes with associated oncogenic drivers

Tanvi Sharma, Christof M. Kramm, Olga Zheludkova, Chris Jones, Dominik Sturm, Ella Kumirova, Anna Burford, Antje Habel, Daniel Schrimpf, David Capper, Lukas Chavez, Andreas von Deimling, Stefan M. Pfister, Andrey Golanov, Volker Hovestadt, Andrey Korshunov, Marina Ryzhova, David T. W. Jones

Abstract

Pediatric glioblastoma (pedGBM) is an extremely aggressive pediatric brain tumor, accounting for ~6% of all central nervous system neoplasms in children. Approximately half of pedGBM harbor recurrent somatic mutations in histone 3 variants or, infrequently, IDH1/2. The remaining subset of pedGBM is highly heterogeneous, and displays a variety of genomic and epigenetic features. In the current study, we aimed to further stratify an H3-/IDH-wild type (wt) pedGBM cohort assessed through genome-wide molecular profiling. As a result, we identified three molecular subtypes of these tumors, differing in their genomic and epigenetic signatures as well as in their clinical behavior. We designated these subtypes ‘pedGBM_MYCN’ (enriched for MYCN amplification), ‘pedGBM_RTK1’ (enriched for PDGFRA amplification) and ‘pedGBM_RTK2’ (enriched for EGFR amplification). These molecular subtypes were associated with significantly different outcomes, i.e. pedGBM_RTK2 tumors show a significantly longer survival time (median OS 44 months), pedGBM_MYCN display extremely poor outcomes (median OS 14 months), and pedGBM_RTK1 tumors harbor an intermediate prognosis. In addition, the various molecular subtypes of H3-/IDH-wt pedGBM were clearly distinguishable from their adult counterparts, underlining their biological distinctiveness. In conclusion, our study demonstrates significant molecular heterogeneity of H3-/IDH-wt pedGBM in terms of DNA methylation and cytogenetic alterations. The recognition of three molecular subtypes of H3-/IDH-wt pedGBM further revealed close correlations with biological parameters and clinical outcomes and may therefore, be predictive of response to standard treatment protocols, but could also be useful for stratification for novel, molecularly based therapies.

Publisher URL: https://link.springer.com/article/10.1007/s00401-017-1710-1

DOI: 10.1007/s00401-017-1710-1

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