Discovery and validation of prognostic markers in gastric cancer by genome-wide expression profiling.

ABSTRACT:

Aim

To develop a prognostic gene set that can predict patient overall survival status based on the whole genome expression analysis.

Methods

Using Illumina HumanWG-6 BeadChip followed by semi-supervised analysis, we analyzed the expression of 47,296 transcripts in two batches of gastric cancer patients who underwent surgical resection. Thirty-nine samples in the first batch were used as the training set to discover candidate markers correlated to overall survival, and thirty-three samples in the second batch were used for validation.

Results

A panel of ten genes were identified as prognostic marker in the first batch samples and classified patients into a low- and a high-risk group with significantly different survival times (P = 0.000047). This prognostic marker was

SUBMITTER: Zhang YZ 

PROVIDER: S-EPMC3072635 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature