Unknown

Dataset Information

Changes in gene expression and cellular architecture in an ovarian cancer progression model.


ABSTRACT:

Background

Ovarian cancer is the fifth leading cause of cancer deaths among women. Early stage disease often remains undetected due the lack of symptoms and reliable biomarkers. The identification of early genetic changes could provide insights into novel signaling pathways that may be exploited for early detection and treatment.

Methodology/principal findings

Mouse ovarian surface epithelial (MOSE) cells were used to identify stage-dependent changes in gene expression levels and signal transduction pathways by mouse whole genome microarray analyses and gene ontology. These cells have undergone spontaneous transformation in cell culture and transitioned from non-tumorigenic to intermediate and aggressive, malignant phenotypes. Significantly changed genes were overrepresented

SUBMITTER: Creekmore AL 

PROVIDER: S-EPMC3048403 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature