Abstract 282: Breast cancer microphysiological systems based on human breast tissue

Abstract

Abstract Breast cancer is a heterogeneous disease that accumulates signaling cues from cell intrinsic and extrinsic factors. Many of these cues are derived from the tumor microenvironment (TME). The TME modulates cellular proliferation, survival, and resistance to therapy in breast cancer. The TME is a bio-mechanical and biochemical reservoir for extracellular matrix and signaling factors (cytokines, growth factors, lipids, and hormones). In addition, the TME houses a diverse array of cell populations including adipocytes, vasculature, stem cells, immune cells, and cancer cells. Currently models do not reprpoduce the TME in vitro. The goal of this study was to develop a complex and dynamic micro-physiological 3D tumor model for pre-clinical studies using the native human breast environment. We developed a technique to maintain healthy human breast tissue (HBT) alive ex vivo for up to 8 weeks in the presence of breast cancer (BC) cells creating a breast cancer micro-physiological system (BC-MPS). In this study, we demonstrate alterations to lipid accumulation, matrix fiber remodeling, and cytokine profile in our BC-MPS system. We used RNA sequencing to detect breast cancer cell line signatures retained in the BC-MPS system. Results demonstrate retention of the breast cancer cell line transcriptome for a minimum of 14 days in vitro. In addition we identify alterations to genes associated with the TME, specifically the extracellular matrix and metabolism. Our novel model will allow for 1) real-time examination of BC-HBT interactions and 2) the isolation of BC-specific factors vs. patient-specific factors on the development and progression of BC. Citation Format: Frank H. Lau, C. Ethan Byrne, Loren Brown, Jake Fontenot, Rafael P. Tiongco, Rakesh R. Gurrala, Jonathan Cuccia, Andrew DiNardo, Matthew Burow, Elizabeth C. Martin. Breast cancer microphysiological systems based on human breast tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 282.