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

ABSTRACT: 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 coho

ORGANISM(S): Homo sapiens

SUBMITTER: Michael Birrer 

PROVIDER: E-GEOD-26712 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress