An Integrative Analysis to Identify Driver Genes in Esophageal Squamous Cell Carcinoma.

ABSTRACT:

Background

Few driver genes have been well established in esophageal squamous cell carcinoma (ESCC). Identification of the genomic aberrations that contribute to changes in gene expression profiles can be used to predict driver genes.

Methods

We searched for driver genes in ESCC by integrative analysis of gene expression microarray profiles and copy number data. To narrow down candidate genes, we performed survival analysis on expression data and tested the genetic vulnerability of each genes using public RNAi screening data. We confirmed the results by performing RNAi experiments and evaluating the clinical relevance of candidate genes in an independent ESCC cohort.

Results

We found 10 significantly recurrent copy number alterations accompanying gene expression chang

SUBMITTER: Sawada G 

PROVIDER: S-EPMC4605796 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature