An empirical Bayes model for gene expression and methylation profiles in antiestrogen resistant breast cancer.

ABSTRACT:

Background

The nuclear transcription factor estrogen receptor alpha (ER-alpha) is the target of several antiestrogen therapeutic agents for breast cancer. However, many ER-alpha positive patients do not respond to these treatments from the beginning, or stop responding after being treated for a period of time. Because of the association of gene transcription alteration and drug resistance and the emerging evidence on the role of DNA methylation on transcription regulation, understanding of these relationships can facilitate development of approaches to re-sensitize breast cancer cells to treatment by restoring DNA methylation patterns.

Methods

We constructed a hierarchical empirical Bayes model to investigate the simultaneous change of gene expression and promoter DNA methyl

SUBMITTER: Jeong J 

PROVIDER: S-EPMC3003621 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature