Abstract

Abstract T cell dysfunction or ‘exhaustion’ is a hallmark of solid malignancies. Despite the critical importance of CD8 T lymphocytes in controlling tumor growth and immunotherapy efficacy, the mechanisms governing T cell exhaustion remain unclear. Here, we focused on resolving the heterogeneity and molecular programming of exhausted CD8 T cell states in the context of pancreatic cancer. Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease with a discouraging 5-year survival rate of approximately 8%. PDAC tumors commonly present as immunologically ‘cold’, devoid of protective T cell populations, and are typically resistant to promising immunotherapies such as immune checkpoint blockade or adoptive cell therapy. Therefore, understanding the unique microenvironmental and CD8 T cell-intrinsic signals governing T cell exhaustion and accumulation in PDAC tumors may reveal crucial insight for engineering CD8 T cells for optimal immunotherapy efficacy. Here, we developed preclinical PDAC models for profiling tumor-specific murine CD8 T cell responses. Through application of spectral flow cytometry and multimodal single-cell sequencing approaches, we have uncovered impressively diverse antigen-specific CD8 T cell states in PDAC tumors. Select CD8 T cell populations identified within the PDAC tumor microenvironment included canonical populations of terminally-exhausted and progenitor-exhausted CD8 T cells as well as unexpected and uncharacterized CD8 T cell populations. Accordingly, we also have identified critical transcription factors controlling key features of CD8 T cell heterogeneity and persistence in PDAC tumors. These findings may ultimately provide insight for tailoring CD8 T cell fate and function in PDAC. Supported by 2022 AAI Intersect Fellowship for Computational Scientists and Immunologists

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