Identification of tumor suppressors and oncogenes from genomic and epigenetic features in ovarian cancer.

ABSTRACT: The identification of genetic and epigenetic alterations from primary tumor cells has become a common method to identify genes critical to the development and progression of cancer. We seek to identify those genetic and epigenetic aberrations that have the most impact on gene function within the tumor. First, we perform a bioinformatic analysis of copy number variation (CNV) and DNA methylation covering the genetic landscape of ovarian cancer tumor cells. We separately examined CNV and DNA methylation for 42 primary serous ovarian cancer samples using MOMA-ROMA assays and 379 tumor samples analyzed by The Cancer Genome Atlas. We have identified 346 genes with significant deletions or amplifications among the tumor samples. Utilizing associated gene expression data we predict 156 genes with

SUBMITTER: Wrzeszczynski KO 

PROVIDER: S-EPMC3234280 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature