Frontiers in Immunology (Nov 2020)

Tumor Infiltrating Effector Memory Antigen-Specific CD8+ T Cells Predict Response to Immune Checkpoint Therapy

  • Nicola Principe,
  • Nicola Principe,
  • Joel Kidman,
  • Joel Kidman,
  • Siting Goh,
  • Caitlin M. Tilsed,
  • Caitlin M. Tilsed,
  • Scott A. Fisher,
  • Scott A. Fisher,
  • Vanessa S. Fear,
  • Catherine A. Forbes,
  • Rachael M. Zemek,
  • Abha Chopra,
  • Mark Watson,
  • Ian M. Dick,
  • Ian M. Dick,
  • Louis Boon,
  • Robert A. Holt,
  • Richard A. Lake,
  • Richard A. Lake,
  • Anna K. Nowak,
  • Anna K. Nowak,
  • Willem Joost Lesterhuis,
  • Willem Joost Lesterhuis,
  • Willem Joost Lesterhuis,
  • Alison M. McDonnell,
  • Alison M. McDonnell,
  • Alison M. McDonnell,
  • Jonathan Chee,
  • Jonathan Chee

DOI
https://doi.org/10.3389/fimmu.2020.584423
Journal volume & issue
Vol. 11

Abstract

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Immune checkpoint therapy (ICT) results in durable responses in individuals with some cancers, but not all patients respond to treatment. ICT improves CD8+ cytotoxic T lymphocyte (CTL) function, but changes in tumor antigen-specific CTLs post-ICT that correlate with successful responses have not been well characterized. Here, we studied murine tumor models with dichotomous responses to ICT. We tracked tumor antigen-specific CTL frequencies and phenotype before and after ICT in responding and non-responding animals. Tumor antigen-specific CTLs increased within tumor and draining lymph nodes after ICT, and exhibited an effector memory-like phenotype, expressing IL-7R (CD127), KLRG1, T-bet, and granzyme B. Responding tumors exhibited higher infiltration of effector memory tumor antigen-specific CTLs, but lower frequencies of regulatory T cells compared to non-responders. Tumor antigen-specific CTLs persisted in responding animals and formed memory responses against tumor antigens. Our results suggest that increased effector memory tumor antigen-specific CTLs, in the presence of reduced immunosuppression within tumors is part of a successful ICT response. Temporal and nuanced analysis of T cell subsets provides a potential new source of immune based biomarkers for response to ICT.

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