Literature DB >> 32868929

The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies.

Shogo Kumagai1,2, Yosuke Togashi1, Takahiro Kamada1,2, Eri Sugiyama1,2, Hitomi Nishinakamura1, Yoshiko Takeuchi1, Kochin Vitaly2, Kota Itahashi1, Yuka Maeda1, Shigeyuki Matsui3, Takuma Shibahara4, Yasuho Yamashita4, Takuma Irie1, Ayaka Tsuge1,2, Shota Fukuoka1, Akihito Kawazoe5, Hibiki Udagawa6, Keisuke Kirita6, Keiju Aokage7, Genichiro Ishii8, Takeshi Kuwata8, Kenta Nakama9, Masahito Kawazu10, Toshihide Ueno10, Naoya Yamazaki9, Koichi Goto6, Masahiro Tsuboi7, Hiroyuki Mano10, Toshihiko Doi5, Kohei Shitara5, Hiroyoshi Nishikawa11,12.   

Abstract

Immune checkpoint blockade has provided a paradigm shift in cancer therapy, but the success of this approach is very variable; therefore, biomarkers predictive of clinical efficacy are urgently required. Here, we show that the frequency of PD-1+CD8+ T cells relative to that of PD-1+ regulatory T (Treg) cells in the tumor microenvironment can predict the clinical efficacy of programmed cell death protein 1 (PD-1) blockade therapies and is superior to other predictors, including PD ligand 1 (PD-L1) expression or tumor mutational burden. PD-1 expression by CD8+ T cells and Treg cells negatively impacts effector and immunosuppressive functions, respectively. PD-1 blockade induces both recovery of dysfunctional PD-1+CD8+ T cells and enhanced PD-1+ Treg cell-mediated immunosuppression. A profound reactivation of effector PD-1+CD8+ T cells rather than PD-1+ Treg cells by PD-1 blockade is necessary for tumor regression. These findings provide a promising predictive biomarker for PD-1 blockade therapies.

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Year:  2020        PMID: 32868929     DOI: 10.1038/s41590-020-0769-3

Source DB:  PubMed          Journal:  Nat Immunol        ISSN: 1529-2908            Impact factor:   25.606


  32 in total

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Review 1.  Anti-angiogenic agents - overcoming tumour endothelial cell anergy and improving immunotherapy outcomes.

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7.  Regulatory T-cell Transcriptomic Reprogramming Characterizes Adverse Events by Checkpoint Inhibitors in Solid Tumors.

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