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

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Nature communications 📖 저널 OA 93.2% 2021: 2/2 OA 2022: 3/3 OA 2023: 3/3 OA 2024: 21/21 OA 2025: 202/202 OA 2026: 180/210 OA 2021~2026 2026 Vol.17(1) p. 1441 OA
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Yi M, Li T, Gu Y, Niu M, Xue D, Hu S

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Antibodies targeting TGF-β and PD-L1 initially showed promise as second-generation PD-L1 agents.

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APA Yi M, Li T, et al. (2026). Triple targeting of STING, TGF-β, and PD-L1 boosts CXCL16-CXCR6 signaling for potent antitumor response.. Nature communications, 17(1), 1441. https://doi.org/10.1038/s41467-026-69456-3
MLA Yi M, et al.. "Triple targeting of STING, TGF-β, and PD-L1 boosts CXCL16-CXCR6 signaling for potent antitumor response.." Nature communications, vol. 17, no. 1, 2026, pp. 1441.
PMID 41663428 ↗

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 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.

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