A matrix stiffness gene signature identifies SLC20A1 as a novel mechano-immunological checkpoint enabling synergistic immunotherapy in pancreatic ductal adenocarcinoma

Matrix stiffness is a defining feature of pancreatic ductal adenocarcinoma (PDAC) and drives malignant progression through mechanisms that remain poorly understood. Using an ensemble machine learning approach, we integrated multiomics data from 886 patients with mechano-biology models to develop a nine-gene matrix stiffness-associated gene signature (MSAGS). MSAGS demonstrated superior prognostic accuracy in independent cohorts, outperforming 87 existing signatures. We identified SLC20A1 within MSAGS as a novel mechano-immunological checkpoint where matrix stiffness activates an SLC20A1-STAT3 positive feedback loop, driving dual immunosuppression via TGF-β1-mediated CD8<sup>+</sup> T-cell exclusion and PD-L1-induced T-cell dysfunction. Importantly, targeting SLC20A1 synergized with anti-PD-L1/TGF-beta bispecific antibody (BiTP, Y101D), enhancing tumor suppression and extending survival in orthotopic PDAC models by increasing the infiltration and function of cytotoxic CD8<sup>+</sup> T cells. This work establishes MSAGS as a clinically translatable prognostic tool and positions SLC20A1 targeting as a transformative strategy to overcome PDAC immunotherapy resistance, thereby repositioning matrix stiffness as a druggable target.

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Publication Details

Journal
Cancer Immunology Immunotherapy
Published
2025-11-12
DOI
https://doi.org/10.1007/s00262-025-04195-w
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
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article

A matrix stiffness gene signature identifies SLC20A1 as a novel mechano-immunological checkpoint enabling synergistic immunotherapy in pancreatic ductal adenocarcinoma

Yunpeng Zhang, Tao Yin, Lu Yu, Long He et al.
Cancer Immunology Immunotherapy
Pancreatic and Hepatic Oncology Research
article

A matrix stiffness gene signature identifies SLC20A1 as a novel mechano-immunological checkpoint enabling synergistic immunotherapy in pancreatic ductal adenocarcinoma

Yunpeng Zhang, Tao Yin, Lu Yu, Long He, Chuanbing Zhao
article en

Abstract

Matrix stiffness is a defining feature of pancreatic ductal adenocarcinoma (PDAC) and drives malignant progression through mechanisms that remain poorly understood. Using an ensemble machine learning approach, we integrated multiomics data from 886 patients with mechano-biology models to develop a nine-gene matrix stiffness-associated gene signature (MSAGS). MSAGS demonstrated superior prognostic accuracy in independent cohorts, outperforming 87 existing signatures. We identified SLC20A1 within MSAGS as a novel mechano-immunological checkpoint where matrix stiffness activates an SLC20A1-STAT3 positive feedback loop, driving dual immunosuppression via TGF-β1-mediated CD8<sup>+</sup> T-cell exclusion and PD-L1-induced T-cell dysfunction. Importantly, targeting SLC20A1 synergized with anti-PD-L1/TGF-beta bispecific antibody (BiTP, Y101D), enhancing tumor suppression and extending survival in orthotopic PDAC models by increasing the infiltration and function of cytotoxic CD8<sup>+</sup> T cells. This work establishes MSAGS as a clinically translatable prognostic tool and positions SLC20A1 targeting as a transformative strategy to overcome PDAC immunotherapy resistance, thereby repositioning matrix stiffness as a druggable target.

Cancer Immunology ImmunotherapyVol. 74(12)
Union Hospital (HK), Union Hospital (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 53%
Pancreatic and Hepatic Oncology Research
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