Gene expression signature-based prognostic risk score in gastric cancer.

ABSTRACT:

Purpose

Despite continual efforts to develop a prognostic model of gastric cancer by using clinical and pathologic parameters, a clinical test that can discriminate patients with good outcomes from those with poor outcomes after gastric cancer surgery has not been established. We aim to develop practical biomarker-based risk score that can predict relapse of gastric cancer after surgical treatment.

Experimental design

Microarray technologies were used to generate and analyze gene expression profiling data from 65 gastric cancer patients to identify biomarker genes associated with relapse. The association of expression patterns of identified genes with relapse and overall survival was validated in independent gastric cancer patients.

Results

We uncovered two subgroups

SUBMITTER: Cho JY 

PROVIDER: S-EPMC3078023 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature