Candidate gene DNA methylation associations with breast cancer characteristics and tumor progression.

ABSTRACT:

Aim

We examined methylation patterns with aggressive tumor phenotypes and investigated demographic, socioeconomic and reproductive predictors of gene methylation.

Materials & methods

Pyrosequencing quantified methylation of BRCA1, EGFR, GSTM2, RASSF1, TFF1 and Sat 2. We used quantile regression models to calculate adjusted median methylation values by estrogen and progesterone receptor (ER/PR) status. Bivariate associations between participant characteristics and methylation were examined.

Results

Higher percent methylation of GSTM2 was observed in ER/PR-negative compared with ER/PR-positive tumors in ductal carcinoma in situ (14 vs 2%) and invasive (35 vs 3%) tissue components. Trends in aberrant GSTM2 methylation across tissue components were stronger among ER/PR-ne

SUBMITTER: Kresovich JK 

PROVIDER: S-EPMC5925433 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature