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


ABSTRACT: 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.

SUBMITTER: Magen A 

PROVIDER: S-EPMC6934378 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Single-Cell Profiling Defines Transcriptomic Signatures Specific to Tumor-Reactive versus Virus-Responsive CD4<sup>+</sup> T Cells.

Magen Assaf A   Nie Jia J   Ciucci Thomas T   Tamoutounour Samira S   Zhao Yongmei Y   Mehta Monika M   Tran Bao B   McGavern Dorian B DB   Hannenhalli Sridhar S   Bosselut Rémy R  

Cell reports 20191201 10


Most current tumor immunotherapy strategies leverage cytotoxic CD8<sup>+</sup> T cells. Despite evidence for clinical potential of CD4<sup>+</sup> 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<sup>+</sup> TILs and draining lymph node (dLN) T cells. Computational approaches to characterize subpopulations identify TIL transcriptomic patterns strik  ...[more]

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