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| Status |
Public on May 21, 2015 |
| Title |
Gene expression data from ependymal tumor samples |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
|
| Summary |
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.
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| |
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| Overall design |
Total RNA from 209 ependymal tumor samples were hybridised to the Affymetrix HG U133 Plus 2.0 microarrays.
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| |
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| Contributor(s) |
Pajtler K, Witt H, Sill M, Korshunov A, Kool M, Pfister SM |
| Citation(s) |
25965575, 29909548, 31043743 |
| |
| Submission date |
Dec 22, 2014 |
| Last update date |
Jul 30, 2019 |
| Contact name |
Marcel Kool |
| E-mail(s) |
m.kool@dkfz.de
|
| Organization name |
German Cancer Research Center DKFZ
|
| Department |
Pediatric Neurooncology
|
| Street address |
Im Neuenheimer Feld 280
|
| City |
Heidelberg |
| ZIP/Postal code |
69120 |
| Country |
Germany |
| |
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| Platforms (1) |
| GPL570 |
[HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array |
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| Samples (209)
|
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| Relations |
| BioProject |
PRJNA270979 |
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