Targeting the novel immune checkpoint KLRG1 is markedly therapeutic against cancer through multiple lymphocyte subsets

BACKGROUND: Checkpoint blockade therapies have demonstrated clinical benefit across multiple cancer types; however, many patients with immune cell infiltration remain non-responsive or develop resistance. This suggests that additional, unidentified regulatory pathways limit treatment efficacy. The purpose of this study was to investigate the role of the inhibitory receptor KLRG1 in limiting antitumor immunity and to evaluate its potential as a therapeutic target in patients refractory to first-generation checkpoint inhibitors. METHODS: The study used murine models to observe KLRG1 expression following checkpoint therapy and analyzed tumor-infiltrating T cells from patients with melanoma non-responsive to anti-programmed death-1 (PD-1). We generated KLRG1 knockout mice and B16 melanoma N-cadherin (KLRG1 ligand) deletions to assess tumor growth. Additionally, a KLRG1 human knock-in mouse model and a novel anti-human KLRG1 monoclonal antibody (mAb) were developed and tested both in vitro and in vivo. RESULTS: T cells, natural killer cells, and γδ T cells. Similarly, deleting N-cadherin in tumors slowed growth. The novel anti-human KLRG1 mAb enhanced human T-cell activation in vitro and significantly reduced tumor progression in humanized KLRG1 mice. CONCLUSIONS: Our findings demonstrate KLRG1 as a critical negative regulator of antitumor immunity and support KLRG1-cadherin blockade as a promising strategy for improving immunotherapy outcomes.

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Publication Details

Journal
Journal for ImmunoTherapy of Cancer
Published
2026-04-01
DOI
https://doi.org/10.1136/jitc-2025-013869
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00

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article

Targeting the novel immune checkpoint KLRG1 is markedly therapeutic against cancer through multiple lymphocyte subsets

Stephen N. Sinicrope, Shuyin Li, Jan Pinkas, Kei Yasuda et al.
Journal for ImmunoTherapy of Cancer
Cancer Immunotherapy and Biomarkers
article

Targeting the novel immune checkpoint KLRG1 is markedly therapeutic against cancer through multiple lymphocyte subsets

Stephen N. Sinicrope, Shuyin Li, Jan Pinkas, Kei Yasuda, Jason W. Shapiro, Nicolas Sévère, Tyler A. Jones, Matthew Iovino, Thomas Gajewski
article en

Abstract

BACKGROUND: Checkpoint blockade therapies have demonstrated clinical benefit across multiple cancer types; however, many patients with immune cell infiltration remain non-responsive or develop resistance. This suggests that additional, unidentified regulatory pathways limit treatment efficacy. The purpose of this study was to investigate the role of the inhibitory receptor KLRG1 in limiting antitumor immunity and to evaluate its potential as a therapeutic target in patients refractory to first-generation checkpoint inhibitors. METHODS: The study used murine models to observe KLRG1 expression following checkpoint therapy and analyzed tumor-infiltrating T cells from patients with melanoma non-responsive to anti-programmed death-1 (PD-1). We generated KLRG1 knockout mice and B16 melanoma N-cadherin (KLRG1 ligand) deletions to assess tumor growth. Additionally, a KLRG1 human knock-in mouse model and a novel anti-human KLRG1 monoclonal antibody (mAb) were developed and tested both in vitro and in vivo. RESULTS: T cells, natural killer cells, and γδ T cells. Similarly, deleting N-cadherin in tumors slowed growth. The novel anti-human KLRG1 mAb enhanced human T-cell activation in vitro and significantly reduced tumor progression in humanized KLRG1 mice. CONCLUSIONS: Our findings demonstrate KLRG1 as a critical negative regulator of antitumor immunity and support KLRG1-cadherin blockade as a promising strategy for improving immunotherapy outcomes.

Journal for ImmunoTherapy of CancerVol. 14(4)
University of Chicago (US), AVEO Oncology (United States) (US), May Institute (US)
Cancer Research Institute, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 27%
Cancer Immunotherapy and Biomarkers
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