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Series GSE83294 Query DataSets for GSE83294
Status Public on Jun 14, 2016
Title caArray_nelso-00262: Gene expression profiling of gliomas strongly predicts survival
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Migrated from 1.6 id: 1015897590491013 GEDP id: 760 In current clinical practice, histology-based grading of diffuse infiltrative gliomas is the best predictor of patient survival time. Yet histology provides little insight into the underlying biology of gliomas and is limited in its ability to identify and guide new molecularly targeted therapies. We have performed large-scale gene expression analysis using the Affymetrix HG U133 oligonucleotide arrays on 85 diffuse infiltrating gliomas of all histologic types to assess whether a gene expression-based, histology-independent classifier is predictive of survival and to determine whether gene expression signatures provide insight into the biology of gliomas. We found that gene expression-based grouping of tumors is a more powerful survival predictor than histologic grade or age. The poor prognosis samples could be grouped into three different poor prognosis groups, each with distinct molecular signatures. We further describe a list of 44 genes whose expression patterns reliably classify gliomas into previously unrecognized biological and prognostic groups: these genes are outstanding candidates for use in histology-independent classification of high-grade gliomas. The ability of the large scale and 44 gene set expression signatures to group tumors into strong survival groups was validated with an additional external and independent data set from another institution composed of 50 additional gliomas. This demonstrates that large-scale gene expression analysis and subset analysis of gliomas reveals unrecognized heterogeneity of tumors and is efficient at selecting prognosis-related gene expression differences which are able to be applied across institutions.
 
Overall design nelso-00262
Assay Type: Gene Expression
Provider: Affymetrix
Array Designs: HG-U133A, HG-U133B
Organism: Homo sapiens (ncbitax)
Material Types: total RNA, synthetic_RNA, organism_part, whole_organism
Disease States: Glioma, Glioblastoma, Oligodendroglial Tumor, astrocytomas
 
Citation(s) 15374961
Submission date Jun 13, 2016
Last update date Aug 10, 2018
Contact name Mervi Heiskanen
E-mail(s) mervi.heiskanen@nih.gov
Phone 2402765175
Organization name NCI
Department CBIIT
Street address 9609 Medical Center Drive, 1W378
City Rockville
State/province MD
ZIP/Postal code 20850
Country USA
 
Platforms (2)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
GPL97 [HG-U133B] Affymetrix Human Genome U133B Array
Samples (170)
GSM2198275 nelso-00262: 14617-14591 GBM #938 133A
GSM2198276 nelso-00262: 14618-14591 GBM #938 133B
GSM2198277 nelso-00262: 6926-6909 #2166 GBM 133A 6-26-02
Relations
BioProject PRJNA325501

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
GSE83294_RAW.tar 1.6 Gb (http)(custom) TAR (of CEL, CHP, TXT)
GSE83294_caArray_nelso-00262.tar.gz 494.9 Kb (ftp)(http) TAR
Processed data provided as supplementary file
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