Gene Expression Array of Human 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 provide a bioinformatic analysis of copy number variation and DNA methylation covering the genetic landscape of ovarian cancer tumor cells. We individually examined the copy number variation and DNA methylation for 44 primary ovarian cancer samples and 7 ovarian normal samples using our MOMA-ROMA technology and Affymetrix expression data as well as 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 significantly altered copy number and corr

ORGANISM(S): Homo sapiens

SUBMITTER: Kazimierz Wrzeszczynski 

PROVIDER: E-GEOD-27943 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress