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A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer

(Submitter supplied) 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. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
195 Samples
Download data: CEL
Series
Accession:
GSE26712
ID:
200026712

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