Impact of SNPs in ERα corepressor SMRT on breast cancer risk and response to endocrine therapy.

Abstract

Abstract Abstract #1043 Approximately 1/3 of hormone dependent breast cancers do not respond to tamoxifen treatment. The fact that these tumors are intrinsically resistant suggests that underlying genetic factors are responsible for this phenotype. The two major types of genetic variation are single nucleotide polymorphisms (SNPs) and copy number variations (CNVs). SNPs are the most common form of genetic alteration with an estimated 10 million SNPs across the genome and likely influence both disease susceptibility and response to therapy.
 Traditionally, researchers have attempted to identify SNPs associated with a clinical outcome in a “top-down” approach by conducting linkage and SNP association studies. However, here we report on a “bottom-up” approach whereby SNPs are first tested in vitro for a functional effect. This awards two benefits over a “top-down” approach: 1) identification of functional SNPs and 2) detailed characterization of the SNP so that the clinical association studies can be designed accordingly.
 Tamoxifen acts by blocking estradiol (E2) from binding to the estrogen receptor (ERα) and by recruiting corepressors, which then actively repress gene transcription. The critical role of corepressors, especially SMRT, in the proper action of tamoxifen makes them likely to be involved in tamoxifen resistance. Thus, we used a “bottom-up” approach to identify SNPs in ERα corepressors which affect the ability of tamoxifen to suppress ERα function.
 Here we report the detailed in vitro characterization of a number of SNPs in SMRT (NCoR2) with respect to altered ERα function in the presence of tamoxifen. Further, these SNPs are currently being genotyped so that associations can be made in a population of women receiving tamoxifen as either preventative or adjuvant therapy in which extensive surrogate markers for ERα function were collected during the 1-year follow (hot flash rate, hot flash intensity, lipid profiles, and bone mineral density).
 Through the discovery of common polymorphisms affecting Tamoxifen response, we hope to identify new diagnostic criteria to predict which patients will respond to anti-estrogen therapy and which will be better candidates for another line of therapy, such as aromatase inhibitors. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 1043.