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A T cell resilience model associated with response to immunotherapy in multiple tumor types
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A T cell resilience model associated with response to immunotherapy in multiple tumor types
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A T cell resilience model associated with response to immunotherapy in multiple tumor types
A T cell resilience model associated with response to immunotherapy in multiple tumor types
Journal Article

A T cell resilience model associated with response to immunotherapy in multiple tumor types

2022
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Overview
Despite breakthroughs in cancer immunotherapy, most tumor-reactive T cells cannot persist in solid tumors due to an immunosuppressive environment. We developed Tres (tumor-resilient T cell, https://resilience.ccr.cancer.gov/ ), a computational model utilizing single-cell transcriptomic data to identify signatures of T cells that are resilient to immunosuppressive signals, such as transforming growth factor-β1, tumor necrosis factor-related apoptosis-inducing ligand and prostaglandin E2. Tres reliably predicts clinical responses to immunotherapy in melanoma, lung cancer, triple-negative breast cancer and B cell malignancies using bulk T cell transcriptomic data from pre-treatment tumors from patients who received immune-checkpoint inhibitors ( n  = 38), infusion products for chimeric antigen receptor T cell therapies ( n  = 34) and pre-manufacture samples for chimeric antigen receptor T cell or tumor-infiltrating lymphocyte therapies ( n  = 84). Further, Tres identified FIBP , whose functions are largely unknown, as the top negative marker of tumor-resilient T cells across many solid tumor types. FIBP knockouts in murine and human donor CD8 +  T cells significantly enhanced T cell-mediated cancer killing in in vitro co-cultures. Further, Fibp knockout in murine T cells potentiated the in vivo efficacy of adoptive cell transfer in the B16 tumor model. Fibp knockout T cells exhibit reduced cholesterol metabolism, which inhibits effector T cell function. These results demonstrate the utility of Tres in identifying biomarkers of T cell effectiveness and potential therapeutic targets for immunotherapies in solid tumors. Gene signatures associated with T cell resilience to tumor-derived immunosuppressive signals predict responses to immune-checkpoint inhibitors and adoptive cell therapy and identify FIBP as a negative regulator of T cell activity