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Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis

Peter Savas, Balaji Virassamy, Chengzhong Ye, Agus Salim, Christopher P. Mintoff, Franco Caramia, Roberto Salgado, David J. Byrne, Zhi L. Teo, Sathana Dushyanthen, Ann Byrne, Lironne Wein, Stephen J. Luen, Catherine Poliness, Sophie S. Nightingale, Anita S. Skandarajah, David E. Gyorki, Chantel M. Thornton, Paul A. Beavis, Stephen B. Fox, Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Phillip K. Darcy, Terence P. Speed, Laura K. Mackay, Paul J. Neeson, Sherene Loi

The quantity of tumor-infiltrating lymphocytes (TILs) in breast cancer (BC) is a robust prognostic factor for improved patient survival, particularly in triple-negative and HER2-overexpressing BC subtypes1. Although T cells are the predominant TIL population2, the relationship between quantitative and qualitative differences in T cell subpopulations and patient prognosis remains unknown. We performed single-cell RNA sequencing (scRNA-seq) of 6,311 T cells isolated from human BCs and show that significant heterogeneity exists in the infiltrating T cell population. We demonstrate that BCs with a high number of TILs contained CD8+ T cells with features of tissue-resident memory T (TRM) cell differentiation and that these CD8+ TRM cells expressed high levels of immune checkpoint molecules and effector proteins. A CD8+ TRM gene signature developed from the scRNA-seq data was significantly associated with improved patient survival in early-stage triple-negative breast cancer (TNBC) and provided better prognostication than CD8 expression alone. Our data suggest that CD8+ TRM cells contribute to BC immunosurveillance and are the key targets of modulation by immune checkpoint inhibition. Further understanding of the development, maintenance and regulation of TRM cells will be crucial for successful immunotherapeutic development in BC.

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Species: human
Number of cells: 6311
Number of downloads: 188
Study size: 76MB
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breast cancer