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

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...

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Published inNature immunology Vol. 21; no. 11; pp. 1346 - 1358
Main Authors Kumagai, Shogo, Togashi, Yosuke, Kamada, Takahiro, Sugiyama, Eri, Nishinakamura, Hitomi, Takeuchi, Yoshiko, Vitaly, Kochin, Itahashi, Kota, Maeda, Yuka, Matsui, Shigeyuki, Shibahara, Takuma, Yamashita, Yasuho, Irie, Takuma, Tsuge, Ayaka, Fukuoka, Shota, Kawazoe, Akihito, Udagawa, Hibiki, Kirita, Keisuke, Aokage, Keiju, Ishii, Genichiro, Kuwata, Takeshi, Nakama, Kenta, Kawazu, Masahito, Ueno, Toshihide, Yamazaki, Naoya, Goto, Koichi, Tsuboi, Masahiro, Mano, Hiroyuki, Doi, Toshihiko, Shitara, Kohei, Nishikawa, Hiroyoshi
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.11.2020
Nature Publishing Group
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Summary: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 (T reg ) 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 T reg 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 + T reg cell–mediated immunosuppression. A profound reactivation of effector PD-1 + CD8 + T cells rather than PD-1 + T reg cells by PD-1 blockade is necessary for tumor regression. These findings provide a promising predictive biomarker for PD-1 blockade therapies. Checkpoint blockade is effective in only a subset of patients; therefore, biomarkers that can predict efficacy would be clinically highly valuable. Nishkawa and colleagues develop a biomarker based on PD-1 positivity of effector and regulatory T cells in the tumor microenvironment that accurately predicts the effectiveness of checkpoint blockade in patients.
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ISSN:1529-2908
1529-2916
1529-2916
DOI:10.1038/s41590-020-0769-3