NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE26712 Query DataSets for GSE26712
Status Public on Jan 20, 2011
Title A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer
Organism Homo sapiens
Experiment type Expression profiling by array
Summary To identify a prognostic gene signature accounting for the distinct clinical outcomes in ovarian cancer patients
Despite the existence of morphologically indistinguishable disease, patients with advanced ovarian tumors display a broad range of survival end points. We hypothesize that gene expression profiling can identify a prognostic signature accounting for these distinct clinical outcomes. To resolve survival-associated loci, gene expression profiling was completed for an extensive set of 185(90 optimal/95 suboptimal) primary ovarian tumors using the Affymetrix human U133A microarray. Cox regression analysis identified probe sets associated with survival in optimally and suboptimally debulked tumor sets at a P value of <0.01. Leave-one-out cross-validation was applied to each tumor cohort and confirmed by a permutation test. External validation was conducted by applying the gene signature to a publicly available array database of expression profiles of advanced stage suboptimally debulked tumors. The prognostic signature successfully classified the tumors according to survival for suboptimally (P = 0.0179) but not optimally debulked (P = 0.144) patients. The suboptimal gene signature was validated using the independent set of tumors (odds ratio, 8.75; P = 0.0146). To elucidate signaling events amenable to therapeutic intervention in suboptimally debulked patients, pathway analysis was completed for the top 57 survival-associated probe sets. For suboptimally debulked patients, confirmation of the predictive gene signature supports the existence of a clinically relevant predictor, as well as the possibility of novel therapeutic opportunities. Ultimately, the prognostic classifier defined for suboptimally debulked tumors may aid in the classification and enhancement of patient outcome for this high-risk population.
 
Overall design Gene expression profiling was completed for an extensive set of 185 primary ovarian tumors and 10 normal ovarian surface epithelium using the Affymetrix human U133A microarray
 
Contributor(s) Birrer MJ
Citation(s) 18593951, 25944803
Submission date Jan 19, 2011
Last update date Aug 10, 2018
Contact name Michael Birrer
E-mail(s) mbirrer@partners.org
Phone 6177244800
Organization name MGH
Department Medicine
Lab Surgical Oncology Research Labs
Street address 70 Blossom Street
City Boston
State/province MA
ZIP/Postal code 02114
Country USA
 
Platforms (1)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
Samples (195)
GSM657519 Normal HOSE2237
GSM657520 Normal HOSE2008
GSM657521 Normal HOSE2061
Relations
BioProject PRJNA136355

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
GSE26712_RAW.tar 612.6 Mb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table

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