While molecular subgrouping has revolutionized medulloblastoma classification, the extent of heterogeneity within subgroups is unknown. Similarity network fusion (SNF) applied to genome-wide DNA methylation and gene expression data across 763 primary samples identifies very homogeneous clusters of patients, supporting the presence of medulloblastoma subtypes. After integration of somatic copy-number alterations, and clinical features specific to each cluster, we identify 12 different subtypes of medulloblastoma. Integrative analysis using SNF further delineates group 3 from group 4 medulloblastoma, which is not as readily apparent through analyses of individual data types. Two clear subtypes of infants with Sonic Hedgehog medulloblastoma with disparate outcomes and biology are identified. Medulloblastoma subtypes identified through integrative clustering have important implications for stratification of future clinical trials.

• Klíčová slova
• copy number, gene expression, integrative clustering, medulloblastoma, methylation, subgroups,
• MeSH
• genomika MeSH
• individualizovaná medicína * MeSH
• kohortové studie MeSH
• lidé MeSH
• meduloblastom klasifikace   genetika   terapie   MeSH
• metylace DNA MeSH
• shluková analýza MeSH
• stanovení celkové genové exprese MeSH
• variabilita počtu kopií segmentů DNA MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH