Abstract 406: Development of a gene signature assessing ER modulation by SERMs and SERDs as a target engagement biomarker for endocrine therapy in breast cancer

Abstract

Abstract Hormone or endocrine therapy is the primary treatment for estrogen receptor-positive (ER+) breast cancer. Selective Estrogen Receptor Modulators (SERMs) have been used for women with ER+ invasive cancer in the adjuvant setting. However, they do not fully inhibit ER transcriptional activity. Therefore, selective estrogen receptor degraders (SERDs) such as fulvestrant have been developed to overcome the partial modulation of ER transcriptional activity by SERMs. However, the clinical benefit of fulvestrant is limited by its pharmaceutical properties, and burden of intramuscular administration. We developed amcenestrant (SAR439859), a novel, orally bioavailable SERD to improve drug properties and is under clinical investigation.To assess the relative ER modulating activity, we developed a gene signature by transcriptional profiling of multiple ER+ cell lines. We identified 87 genes that were either up- or down-regulated by estradiol and reversed by SERM and SERD compounds or differentially expressed between a SERM/SERD compound and estradiol. We assessed ER activity scores by applying Gene Set Variation Analysis (GSVA) method to the ER gene signature and evaluated the effect of 6 SERD compounds. Amcenestrant and fulvestrant illuminated a deeper inhibition of ER activity compared to the other compounds. In addition, these ER activity scores could potentially be utilized in clinics as pharmacodynamic (PD) biomarker to assess target engagement. We applied this ER signature to RNA-seq data from paired pre- and post-treatment tumor biopsies from patients of NCT03284957 study (AMEERA-1), an open-label, phase 1/2 study of amcenestrant in postmenopausal women with ER+/HER2- metastatic breast cancer. The results of our analysis showed that ER activity is down-regulated by amcenestrant (oral SERD) for 3 out of 5 patients, in parallel with clinical benefit. Validation in a larger patient cohort is needed. Citation Format: Joon Sang Lee, Maysoun Shomali, Monsif Bouaboula, Emma Wang, Wilson Dos-Santos-Bele, Colette Dib, Eric Boitier, Vasiliki Pelekanou, Nils Ternes, Alice Gosselin, Patrick Cohen, Marina Celanovic, Christopher Soria, Alexei Protopopov, Jack Pollard. Development of a gene signature assessing ER modulation by SERMs and SERDs as a target engagement biomarker for endocrine therapy in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 406.