Song, Christine

Women with type 2 diabetes (T2D) have a higher risk of being diagnosed with breast cancer and have worse survival than non-diabetic women if they do develop breast cancer. However, more research is needed to elucidate the biological underpinnings of these relationships. Here, we found that forkhead box A1 (FOXA1), a forkhead family transcription factor, and metformin (1,1-dimethylbiguanide hydrochloride), a medication used to treat T2D, may impact hormone-receptor-positive (HR+) breast cancer (BC) tumor cell growth and metastasis. Indeed, fourteen diabetes-associated genes are highly expressed in only three HR+ breast cancer cell lines but not the other subtypes utilizing 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 4032 breast cancer patient tissue samples using the Breast Cancer Gene Expression Omnibus. Notably, elevated FOXA1 expression correlated with poorer overall survival in patients with estrogen-receptor-positive/progesterone-receptor-positive (ER+/PR+) breast cancer. Furthermore, experiments demonstrated that loss of the FOXA1 gene inhibited tumor proliferation and invasion in vitro using MCF-7 and T47D HR+ breast cancer cell lines. Metformin, an anti-diabetic medication, significantly suppressed tumor cell growth in MCF-7 cells. Additionally, either metformin treatment or FOXA1 gene deletion enhanced tamoxifen-induced tumor growth inhibition in HR+ breast cancer cell lines within an ex vivo three-dimensional (3D) organoid model. Therefore, the diabetes-related medicine metformin and FOXA1 gene inhibition might be a new treatment for patients with HR+ breast cancer when combined with tamoxifen, an endocrine therapy.

Purpose: In the current health care environment, cost effectiveness is critically important in policy setting and care of patients. This study performed a health economic analysis to assess the implications to providers and payers of expanding the use of frozen section margin analysis to minimize reoperations for patients undergoing breast cancer lumpectomy. Methods: A health care economic impact model was built to assess annual costs associated with breast lumpectomy procedures with and without frozen section margin analysis to avoid reoperation. Results: If frozen section margin analysis is used in 20% of breast lumpectomies and under a baseline assumption that 35% of initial lumpectomies without frozen section analysis result in reoperations, the potential annual cost savings are $18.2 million to payers and $0.4 million to providers. Under the same baseline assumption, if 100% of all health care facilities adopted the use of frozen section margin analysis for breast lumpectomy procedures, the potential annual cost savings are $90.9 million to payers and $1.8 million to providers. On the basis of 10,000 simulations, use of intraoperative frozen section margin analysis yields cost saving for payers and is cost neutral to slightly cost saving for providers. Conclusion: This economic analysis indicates that widespread use of frozen section margin evaluation intraoperatively to guide surgical resection in breast lumpectomy cases and minimize reoperations would be beneficial to cost savings not only for the patient but also for payers and, in most cases, for providers.