The PD-1 expression balance between effector and regulatory T cells predicts the clinical efficacy of PD-1 blockade therapies.
Shogo KumagaiYosuke TogashiTakahiro KamadaEri SugiyamaHitomi NishinakamuraYoshiko TakeuchiKochin VitalyKota ItahashiYuka MaedaShigeyuki MatsuiTakuma ShibaharaYasuho YamashitaTakuma IrieAyaka TsugeShota FukuokaAkihito KawazoeHibiki UdagawaKeisuke KiritaKeiju AokageGenichiro IshiiTakeshi KuwataKenta NakamaMasahito KawazuToshihide UenoNaoya YamazakiKoichi GotoMasahiro TsuboiHiroyuki ManoToshihiko DoiKohei ShitaraHiroyoshi NishikawaPublished in: Nature immunology (2020)
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.