Abstract A81: Identifying cellular immune components that correlate with response to immunotherapy in breast cancer using murine models

Abstract

Abstract The heterogeneity of the tumor microenvironment may contribute to the lack of durable responses of immunotherapy in breast cancer. To understand factors that contribute to tumor immune cell heterogeneity, we report a detailed analysis and comparison of the immune tumor microenvironment of the autochthonous MMTV-PyMT murine breast cancer model resembling luminal B breast cancer and corresponding syngeneic models. We obtained tumors from MMTV-PyMT mice and used them to generate syngeneic models using either 1E6, 1E5, or 1E4 cells injected into the mammary fat pad of FVB/NJ wild-type mice. When tumors reached 100 mm3, tumors were harvested and quantitative flow-cytometry and NanoString analysis was performed. We have identified that the number of cells inoculated to generate syngeneic tumors significantly influences tumor latency, the tumor immune microenvironment, and the response to immune checkpoint blockade (ICB). Compared to the autochthonous model, the 1E6 and 1E5 model had significantly more tumor-infiltrating lymphocytes (TILs; CD3+, CD4+, and CD8+) and the highest proportion of PD-L1-positive myeloid cells. We found that increased TILs and expression of PD-L1 on myeloid cells were the best predictors of response to PD-L1 or CTLA-4 therapy but that tumor cell expression of PD-L1 and T-cell expression of PD-1 did not correspond to beneficial outcome of treatment. Both the 1E6 and 1E5 models responded to PD-L1 and/or CTLA-4 ICB therapy, whereas the 1E4 and autochthonous models were resistant. These matched sensitive and resistant tumor models represent a unique opportunity to further interrogate the TME in breast cancer. Citation Format: Anita K. Mehta, Jessica A. Castrillion, Alaba Sotayo, Elizabeth A. Mittendorf, Anthony G. Letai, Jennifer L. Guerriero, Emily Cheney. Identifying cellular immune components that correlate with response to immunotherapy in breast cancer using murine models [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2019 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2020;8(3 Suppl):Abstract nr A81.