FOXA1 hypermethylation: link between parity and ER-negative breast cancer in African American women?
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Reproductive factors, particularly parity, have differential effects on breast cancer risk according to estrogen receptor (ER) status, especially among African American (AA) women. One mechanism could be through DNA methylation, leading to altered expression levels of genes important in cell fate decisions.
Using the Illumina 450K BeadChip, we compared DNA methylation levels in paraffin-archived tumor samples from 383 AA and 350 European American (EA) women in the Women’s Circle of Health Study (WCHS). We combined 450K profiles with RNA-seq data and prioritized genes based on differential methylation by race, correlation between methylation and gene expression, and biological function. We measured tumor protein expression and assessed its relationship to DNA methylation. We evaluated associations between reproductive characteristics and DNA methylation using linear regression.
410 loci were differentially methylated by race, with the majority unique to ER− tumors. FOXA1 was hypermethylated in tumors from AA versus EA women with ER− cancer, and increased DNA methylation correlated with reduced RNA and protein expression. Importantly, parity was positively associated with FOXA1 methylation among AA women with ER− tumors (P = 0.022), as was number of births (P = 0.026), particularly among those who did not breastfeed (P = 0.008). These same relationships were not observed among EA women, although statistical power was more limited.
Methylation and expression of FOXA1 is likely impacted by parity and breastfeeding. Because FOXA1 regulates a luminal gene expression signature in progenitor cells and represses the basal phenotype, this could be a mechanism that links these reproductive exposures with ER− breast cancer.
KeywordsBreast cancer African American DNA methylation FOXA1 ER− breast cancer Disparities
The authors would like to thank William McCann, Gregory Ciupak, Warren Davis and Priya Nair for administrative and technical assistance. This work was supported by the Breast Cancer Research Foundation (C.B.A.) and grants from the National Institutes of Health/National Cancer Institute (R01 CA1332641, P01 CA151135, R01 CA100598), the US Army Medical Research and Material Command (DAMD-17-01-1-0334), and a gift from the Philip L. Hubbell family. The RPCI DataBank and BioRepository and the Genomics Core Facility are RPCI CCSG Shared Resources (NIH P30 CA016056-27)
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Conflict of interest
The authors declare no conflicts of interest.
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