In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer.

ABSTRACT:

Background

Our study focuses on identifying potential biomarkers for diagnosis and early detection of ovarian cancer (OC) through the study of transcription regulation of genes affected by estrogen hormone.

Results

The results are based on a set of 323 experimentally validated OC-associated genes compiled from several databases, and their subset controlled by estrogen. For these two gene sets we computationally determined transcription factors (TFs) that putatively regulate transcription initiation. We ranked these TFs based on the number of genes they are likely to control. In this way, we selected 17 top-ranked TFs as potential key regulators and thus possible biomarkers for a set of 323 OC-associated genes. For 77 estrogen controlled genes from this set we identified thre

SUBMITTER: Kaur M 

PROVIDER: S-EPMC3184078 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature