Triple targeting of STING, TGF-β, and PD-L1 boosts CXCL16–CXCR6 signaling for potent antitumor response

Antibodies targeting TGF-β and PD-L1 initially showed promise as second-generation PD-L1 agents. However, consecutive trial failures have limited their clinical success. Our study reveals that the efficacy of the TGF-β×PD-L1 bispecific antibody (BsAb) is compromised by insufficient activation of innate immune responses. To address this, we combine STING agonists with the BsAb, significantly enhancing tumor suppression beyond that achieved with standard STING agonist plus anti-PD-L1 combinations in preclinical models. Unexpectedly, even STING agonist monotherapy is improved by TGF-β blockade, suggesting that TGF-β suppresses STING-driven immune activation. We find that this synergy is mediated by the CXCL16-CXCR6 axis, where STING activation and TGF-β blockade promote CXCL16 expression in macrophages and dendritic cells, recruiting and sustaining cytotoxic CXCR6<sup>+</sup> T cells. Additionally, PD-L1 blockade further enhances their antitumor activity. To optimize this strategy, we develop Y101S, an antibody-drug conjugate targeting TGF-β, PD-L1, and STING, which demonstrates superior tumor control and immune modulation in preclinical models. These findings highlight the therapeutic potential of this triple-targeting approach.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-02-09
DOI
https://doi.org/10.1038/s41467-026-69456-3
Primary Topic
interferon and immune responses
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Triple targeting of STING, TGF-β, and PD-L1 boosts CXCL16–CXCR6 signaling for potent antitumor response

Tianye Li, Q. Chu, X Zhang, Yinhui Gu et al.
Nature Communications
interferon and immune responses
article

Triple targeting of STING, TGF-β, and PD-L1 boosts CXCL16–CXCR6 signaling for potent antitumor response

Tianye Li, Q. Chu, X Zhang, Yinhui Gu, Yongxiang Yan, Mengke Niu, Shengtao Hu, Bin Zhao, Pengfei Zhou, Yuze Wu, Ming Yi, Z. Dai, Zhuxian Zhou, Yingkang Ma, Jing Zhang, Kongming Wu, Dixuan Xue, Minjun Zhang
article en

Abstract

Antibodies targeting TGF-β and PD-L1 initially showed promise as second-generation PD-L1 agents. However, consecutive trial failures have limited their clinical success. Our study reveals that the efficacy of the TGF-β×PD-L1 bispecific antibody (BsAb) is compromised by insufficient activation of innate immune responses. To address this, we combine STING agonists with the BsAb, significantly enhancing tumor suppression beyond that achieved with standard STING agonist plus anti-PD-L1 combinations in preclinical models. Unexpectedly, even STING agonist monotherapy is improved by TGF-β blockade, suggesting that TGF-β suppresses STING-driven immune activation. We find that this synergy is mediated by the CXCL16-CXCR6 axis, where STING activation and TGF-β blockade promote CXCL16 expression in macrophages and dendritic cells, recruiting and sustaining cytotoxic CXCR6<sup>+</sup> T cells. Additionally, PD-L1 blockade further enhances their antitumor activity. To optimize this strategy, we develop Y101S, an antibody-drug conjugate targeting TGF-β, PD-L1, and STING, which demonstrates superior tumor control and immune modulation in preclinical models. These findings highlight the therapeutic potential of this triple-targeting approach.

Nature CommunicationsVol. 17(1)
Zhejiang Chinese Medical University (CN), Ministry of Education (NZ), Wuhan YZY Biopharma (China) (CN), Second Affiliated Hospital of Zhejiang University (CN), Shanxi Academy of Medical Sciences (CN), Tongji Hospital (CN), Hangzhou Medical College (CN), First Affiliated Hospital Zhejiang University (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, ShanXi Science and Technology Department, Natural Science Foundation of Zhejiang Province
Good health and well-being
Openalex Percentile: Top 61%
interferon and immune responses
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.