Abstract 1331: A novel approach to treating hormonal breast cancer using clinical database and 3D ex vivo model

Abstract

Abstract Type 2 diabetes (T2D) female patients have a higher risk of being diagnosed and have worse survival for breast cancer compared to non-diabetic females. Although the relationship between these two female diseases has been reported, specific functional studies on which subtypes of breast cancer are affected and which genes are regulated by T2D are little known. Here, I found that Forkhead Box A1 (FOXA1) and Metformin, anti-diabetic medication for T2D, affect hormonal positive (HR+) breast cancer tumor cell growth and metastasis. 14 diabetes-related genes highly expressed in three HR+ breast cancer cell lines but not other breast cancer subtypes using a 53,805 gene database obtained from NCBI GEO. Among the diabetes-related genes, FOXA1, MTA3, PAK4, FGFR3, and KIF22 were highly expressed in HR+ breast cancer from 4,032 breast cancer patient tissue samples using the Breast Cancer Gene Expression Omnibus. Specifically, the high expression of FOXA1 correlated to a worse ER+/PR+ breast cancer patient survival rate. Consistent with this, the loss of FOXA1 inhibited the tumor proliferation and invasion of MCF-7 and T47D HR+ breast cancer cell lines using in vitro. Metformin (1,1-dimethylbiguanide hydrochloride) conspicuously inhibits the tumor cell growth in MCF-7 human hormonal breast cancer cells. Metformin or FOXA1 deletion enhanced Tamoxifen-mediated tumor growth inhibition in HR+ breast cancer cell lines through the ex vivo three-dimensional (3D) organoid model. Therefore, HR+ breast cancer is closely related to T2D, and metformin and FOXA1 inhibition might be an optimal new treatment for patients with HR+ breast cancer when combined with tamoxifen, a hormone therapy. Citation Format: Chaeun (Christine) Song, SeungBaek Lee. A novel approach to treating hormonal breast cancer using clinical database and 3D ex vivo model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1331.