Microarray analysis of early stage serous ovarian cancers shows profiles predictive of favorable outcome.

ABSTRACT:

Purpose

Although few women with advanced serous ovarian cancer are cured, detection of the disease at an early stage is associated with a much higher likelihood of survival. We previously used gene expression array analysis to distinguish subsets of advanced cancers based on disease outcome. In the present study, we report on gene expression of early-stage cancers and validate our prognostic model for advanced-stage cancers.

Experimental design

Frozen specimens from 39 stage I/II, 42 stage III/IV, and 20 low malignant potential cancers were obtained from four different sites. A linear discriminant model was used to predict survival based upon array data.

Results

We validated the late-stage survival model and show that three of the most differentially expressed genes c

SUBMITTER: Berchuck A 

PROVIDER: S-EPMC3050629 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature