Identification of a robust gene signature that predicts breast cancer outcome in independent data sets.

ABSTRACT:

Background

Breast cancer is a heterogeneous disease, presenting with a wide range of histologic, clinical, and genetic features. Microarray technology has shown promise in predicting outcome in these patients.

Methods

We profiled 162 breast tumors using expression microarrays to stratify tumors based on gene expression. A subset of 55 tumors with extensive follow-up was used to identify gene sets that predicted outcome. The predictive gene set was further tested in previously published data sets.

Results

We used different statistical methods to identify three gene sets associated with disease free survival. A fourth gene set, consisting of 21 genes in common to all three sets, also had the ability to predict patient outcome. To validate the predictive utility of this

SUBMITTER: Korkola JE 

PROVIDER: S-EPMC1855059 | biostudies-literature | 2007 Apr

REPOSITORIES: biostudies-literature