Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.

ABSTRACT:

Background

Advanced-stage ovarian cancer patients are generally treated with platinum/taxane-based chemotherapy after primary debulking surgery. However, there is a wide range of outcomes for individual patients. Therefore, the clinicopathological factors alone are insufficient for predicting prognosis. Our aim is to identify a progression-free survival (PFS)-related molecular profile for predicting survival of patients with advanced-stage serous ovarian cancer.

Methodology/principal findings

Advanced-stage serous ovarian cancer tissues from 110 Japanese patients who underwent primary surgery and platinum/taxane-based chemotherapy were profiled using oligonucleotide microarrays. We selected 88 PFS-related genes by a univariate Cox model (p<0.01) and generated the prognostic

SUBMITTER: Yoshihara K 

PROVIDER: S-EPMC2837379 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature