NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE16011 Query DataSets for GSE16011
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)
GSM405200 control 7
GSM405201 glioma 8
GSM405202 glioma 9
Relations
Affiliated with GSE55918
BioProject PRJNA115435

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

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

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap