|
|
GEO help: Mouse over screen elements for information. |
|
Status |
Public on Apr 26, 2010 |
Title |
Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
|
Summary |
Histological classification of gliomas guides treatment decisions. Because of the high interobserver variability, we aimed to improve classification by performing gene expression profiling on a large cohort of glioma samples of all histological subtypes and grades. The seven identified intrinsic molecular subtypes are different from histological subgroups and correlate better to patient survival. Our data indicate that distinct molecular subgroups clearly benefit from treatment. Specific genetic changes (EGFR amplification, IDH1 mutation, 1p/19q LOH) segregate in -and may drive- the distinct molecular subgroups. Our findings were validated on three large independent sample cohorts (TCGA, REMBRANDT, and GSE12907). We provide compelling evidence that expression profiling is a more accurate and objective method to classify gliomas than histology.
|
|
|
Overall design |
276 glioma samples of all histology, 8 control samples
|
|
|
Contributor(s) |
Gravendeel LA, Kouwenhoven MC, Gevaert O, de Rooi JJ, Stubbs AP, Duijm JE, Daemen A, Bleeker FE, Bralten LB, Kloosterhof N, De Moor B, van der Spek PJ, Kros JM, Sillevis Smitt PA, van den Bent MJ, French PJ |
Citation(s) |
19920198 |
Submission date |
May 07, 2009 |
Last update date |
Mar 14, 2014 |
Contact name |
Pim French |
E-mail(s) |
p.french@erasmusmc.nl
|
Phone |
+31 10 70443 33
|
Organization name |
Erasmus MC
|
Department |
Neurology
|
Lab |
Neurooncology
|
Street address |
Dr Molewaterplein 50
|
City |
Rotterdam |
ZIP/Postal code |
2040CA |
Country |
Netherlands |
|
|
Platforms (1) |
GPL8542 |
Affymetrix GeneChip Human Genome U133 Plus 2.0 Array [CDF: Hs133P_Hs_ENTREZG.cdf] |
|
Samples (284)
|
|
Relations |
Affiliated with |
GSE55918 |
BioProject |
PRJNA115435 |
Supplementary file |
Size |
Download |
File type/resource |
GSE16011_RAW.tar |
1.5 Gb |
(http)(custom) |
TAR (of CEL, CHP) |
Processed data included within Sample table |
Processed data provided as supplementary file |
|
|
|
|
|