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Single-Cell Profiling Defines Transcriptomic Signatures Specific to Tumor-Reactive versus Virus-Responsive CD4(+) T Cells

Most current tumor immunotherapy strategies leverage cytotoxic CD8(+) T cells. Despite evidence for clinical potential of CD4(+) tumor-infiltrating lymphocytes (TILs), their functional diversity limits our ability to harness their activity. Here, we use single-cell mRNA sequencing to analyze the res...

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Detalles Bibliográficos
Autores principales: Magen, Assaf, Nie, Jia, Ciucci, Thomas, Tamoutounour, Samira, Zhao, Yongmei, Mehta, Monika, Tran, Bao, McGavern, Dorian B., Hannenhalli, Sridhar, Bosselut, Rémy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934378/
https://www.ncbi.nlm.nih.gov/pubmed/31801070
http://dx.doi.org/10.1016/j.celrep.2019.10.131
Descripción
Sumario:Most current tumor immunotherapy strategies leverage cytotoxic CD8(+) T cells. Despite evidence for clinical potential of CD4(+) tumor-infiltrating lymphocytes (TILs), their functional diversity limits our ability to harness their activity. Here, we use single-cell mRNA sequencing to analyze the response of tumor-specific CD4(+) TILs and draining lymph node (dLN) T cells. Computational approaches to characterize subpopulations identify TIL transcriptomic patterns strikingly distinct from acute and chronic anti-viral responses and dominated by diversity among T-bet-expressing T helper type 1 (Th1)-like cells. In contrast, the dLN response includes T follicular helper (Tfh) cells but lacks Th1 cells. We identify a type I interferon-driven signature in Th1-like TILs and show that it is found in human cancers, in which it is negatively associated with response to checkpoint therapy. Our study provides a proof-of-concept methodology to characterize tumor-specific CD4(+) T cell effector programs. Targeting these programs should help improve immunotherapy strategies.