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Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis.
Savas, Peter; Virassamy, Balaji; Ye, Chengzhong; Salim, Agus; Mintoff, Christopher P; Caramia, Franco; Salgado, Roberto; Byrne, David J; Teo, Zhi L; Dushyanthen, Sathana; Byrne, Ann; Wein, Lironne; Luen, Stephen J; Poliness, Catherine; Nightingale, Sophie S; Skandarajah, Anita S; Gyorki, David E; Thornton, Chantel M; Beavis, Paul A; Fox, Stephen B; Darcy, Phillip K; Speed, Terence P; Mackay, Laura K; Neeson, Paul J; Loi, Sherene.
Affiliation
  • Savas P; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Virassamy B; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.
  • Ye C; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Salim A; Bioinformatics Division, Walter & Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
  • Mintoff CP; Department of Medical Biology, University of Melbourne, Melbourne, Victoria, Australia.
  • Caramia F; School of Medicine, Tsinghua University, Beijing, China.
  • Salgado R; Bioinformatics Division, Walter & Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
  • Byrne DJ; Department of Mathematics and Statistics, La Trobe University, Melbourne, Victoria, Australia.
  • Teo ZL; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Dushyanthen S; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Byrne A; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Wein L; Department of Pathology, GZA Ziekenhuizen, Antwerp, Belgium.
  • Luen SJ; Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
  • Poliness C; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Nightingale SS; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.
  • Skandarajah AS; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Gyorki DE; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Thornton CM; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Beavis PA; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
  • Fox SB; Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
  • Darcy PK; Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
  • Speed TP; Department of Surgery Royal Melbourne Hospital and Royal Womens' Hospital, University of Melbourne, Melbourne, Victoria, Australia.
  • Mackay LK; Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
  • Neeson PJ; Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
  • Loi S; Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia.
Nat Med ; 24(7): 986-993, 2018 07.
Article in En | MEDLINE | ID: mdl-29942092
ABSTRACT
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.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Breast Neoplasms / Single-Cell Analysis / Immunologic Memory Type of study: Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Female / Humans Language: En Year: 2018 Type: Article

Full text: 1 Database: MEDLINE Main subject: Breast Neoplasms / Single-Cell Analysis / Immunologic Memory Type of study: Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Female / Humans Language: En Year: 2018 Type: Article