학술논문

Intertumoral Heterogeneity within Medulloblastoma Subgroups
Document Type
article
Author
Cavalli, Florence MGRemke, MarcRampasek, LadislavPeacock, JohnShih, David JHLuu, BettyGarzia, LiviaTorchia, JonathonNor, CarolinaMorrissy, A SoranaAgnihotri, SameerThompson, Yuan YaoKuzan-Fischer, Claudia MFarooq, HamzaIsaev, KerenDaniels, CraigCho, Byung-KyuKim, Seung-KiWang, Kyu-ChangLee, Ji YeounGrajkowska, Wieslawa APerek-Polnik, MartaVasiljevic, AlexandreFaure-Conter, CecileJouvet, AnneGiannini, CaterinaRao, Amulya A NageswaraLi, Kay Ka WaiNg, Ho-KeungEberhart, Charles GPollack, Ian FHamilton, Ronald LGillespie, G YanceyOlson, James MLeary, SarahWeiss, William ALach, BoleslawChambless, Lola BThompson, Reid CCooper, Michael KVibhakar, RajeevHauser, Petervan Veelen, Marie-Lise CKros, Johan MFrench, Pim JRa, Young ShinKumabe, ToshihiroLópez-Aguilar, EnriqueZitterbart, KarelSterba, JaroslavFinocchiaro, GaetanoMassimino, MauraVan Meir, Erwin GOsuka, SatoruShofuda, TomokoKlekner, AlmosZollo, MassimoLeonard, Jeffrey RRubin, Joshua BJabado, NadaAlbrecht, SteffenMora, JaumeVan Meter, Timothy EJung, ShinMoore, Andrew SHallahan, Andrew RChan, Jennifer ATirapelli, Daniela PCCarlotti, Carlos GFouladi, MaryamPimentel, JoséFaria, Claudia CSaad, Ali GMassimi, LucaLiau, Linda MWheeler, HelenNakamura, HideoElbabaa, Samer KPerezpeña-Diazconti, Mariode León, Fernando Chico PonceRobinson, ShenandoahZapotocky, MichalLassaletta, AlvaroHuang, AnnieHawkins, Cynthia ETabori, UriBouffet, EricBartels, UteDirks, Peter BRutka, James TBader, Gary DReimand, JüriGoldenberg, AnnaRamaswamy, VijayTaylor, Michael D
Source
Cancer Cell. 31(6)
Subject
Genetics
Rare Diseases
Pediatric Cancer
Cancer
Brain Cancer
Pediatric Research Initiative
Pediatric
Human Genome
Brain Disorders
Cluster Analysis
Cohort Studies
DNA Copy Number Variations
DNA Methylation
Gene Expression Profiling
Genomics
Humans
Medulloblastoma
Precision Medicine
copy number
gene expression
integrative clustering
medulloblastoma
methylation
subgroups
Neurosciences
Oncology and Carcinogenesis
Oncology & Carcinogenesis
Language
Abstract
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.