Identification of potential driver genes in human liver carcinoma by genomewide screening.

ABSTRACT: Genomic copy number aberrations and corresponding transcriptional deregulation in the cancer genome have been suggested to have regulatory roles in cancer development and progression. However, functional evaluation of individual genes from lengthy lists of candidate genes from genomic data sets presents a significant challenge. Here, we report effective gene selection strategies to identify potential driver genes based on systematic integration of genome scale data of DNA copy numbers and gene expression profiles. Using regional pattern recognition approaches, we discovered the most probable copy number-dependent regions and 50 potential driver genes. At each step of the gene selection process, the functional relevance of the selected genes was evaluated by estimating the prognostic signif

SUBMITTER: Woo HG 

PROVIDER: S-EPMC2750086 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature