Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression data from ependymal tumor samples

ABSTRACT: Ependymal tumors across age groups have been classified and graded solely by histopathology. It is, however, commonly accepted that this classification scheme has limited clinical utility based on its lack of reproducibility in predicting patient outcome. We aimed at establishing a reliable molecular classification using DNA methylation fingerprints and gene expression data of the tumors on a large cohort of 500 tumors. Nine robust molecular subgroups, three in each anatomic compartment of the central nervous system (CNS), were identified. Total RNA from 209 ependymal tumor samples were hybridised to the Affymetrix HG U133 Plus 2.0 microarrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Marcel Kool 

PROVIDER: E-GEOD-64415 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups.

Pajtler Kristian W KW   Witt Hendrik H   Sill Martin M   Jones David T W DT   Hovestadt Volker V   Kratochwil Fabian F   Wani Khalida K   Tatevossian Ruth R   Punchihewa Chandanamali C   Johann Pascal P   Reimand Jüri J   Warnatz Hans-Jörg HJ   Ryzhova Marina M   Mack Steve S   Ramaswamy Vijay V   Capper David D   Schweizer Leonille L   Sieber Laura L   Wittmann Andrea A   Huang Zhiqin Z   van Sluis Peter P   Volckmann Richard R   Koster Jan J   Versteeg Rogier R   Fults Daniel D   Toledano Helen H   Avigad Smadar S   Hoffman Lindsey M LM   Donson Andrew M AM   Foreman Nicholas N   Hewer Ekkehard E   Zitterbart Karel K   Gilbert Mark M   Armstrong Terri S TS   Gupta Nalin N   Allen Jeffrey C JC   Karajannis Matthias A MA   Zagzag David D   Hasselblatt Martin M   Kulozik Andreas E AE   Witt Olaf O   Collins V Peter VP   von Hoff Katja K   Rutkowski Stefan S   Pietsch Torsten T   Bader Gary G   Yaspo Marie-Laure ML   von Deimling Andreas A   Lichter Peter P   Taylor Michael D MD   Gilbertson Richard R   Ellison David W DW   Aldape Kenneth K   Korshunov Andrey A   Kool Marcel M   Pfister Stefan M SM  

Cancer cell 20150501 5

Ependymal tumors across age groups are currently classified and graded solely by histopathology. It is, however, commonly accepted that this classification scheme has limited clinical utility based on its lack of reproducibility in predicting patients' outcome. We aimed at establishing a uniform molecular classification using DNA methylation profiling. Nine molecular subgroups were identified in a large cohort of 500 tumors, 3 in each anatomical compartment of the CNS, spine, posterior fossa, su  ...[more]

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