CCN1 Enhances Tumor Immunosuppression through Collagen‐Mediated Chemokine Secretion in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense, immunosuppressive tumor microenvironment (TME) that limits therapeutic efficacy. This study investigates the role of cellular communication network factor 1 (CCN1, also known as Cyr61), an extracellular matrix-associated protein, in modulating the TME of PDAC. It is demonstrated that Ccn1 promotes PDAC progression by upregulating collagen and chemokine expression, thereby facilitating immune cell exclusion and enhancing tumor growth. Using a Ccn1-deficient PDAC model, decreased collagen and chemokine levels are observed, resulting in increased infiltration of cytotoxic immune cells and reduced myeloid-derived suppressor cells (MDSCs). Furthermore, Ccn1-deficient tumors exhibit heightened sensitivity to gemcitabine and show enhanced responsiveness to anti-programmed cell death 1 (anti-PD1) therapy. Mechanistically, Ccn1 regulates chemokine production through collagen expression, with chemokine levels remaining suppressed even upon interferon-gamma treatment in collagen-deficient cells. These findings highlight Ccn1 as a potential therapeutic target that reprograms the TME to enhance the efficacy of both chemotherapy and immunotherapy in PDAC, providing a novel approach for overcoming immune resistance in PDAC.

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Publication Details

Journal
Advanced Science
Published
2025-04-27
DOI
https://doi.org/10.1002/advs.202500589
Citations
4
Primary Topic
Connective Tissue Growth Factor Research
Type
article
Field-Weighted Citation Impact
3.22

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article

CCN1 Enhances Tumor Immunosuppression through Collagen‐Mediated Chemokine Secretion in Pancreatic Cancer

Pengfei Yu, Yanping Ji, Lili Gao, Zhe‐Sheng Chen et al.
4 citations
Advanced Science
Connective Tissue Growth Factor Research
3.22
article

CCN1 Enhances Tumor Immunosuppression through Collagen‐Mediated Chemokine Secretion in Pancreatic Cancer

Pengfei Yu, Yanping Ji, Lili Gao, Zhe‐Sheng Chen, Yucheng Dong, Yang Chen, Pei Zhang, Hongjie Fan, Huzi Zhao
article en
4 citations

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense, immunosuppressive tumor microenvironment (TME) that limits therapeutic efficacy. This study investigates the role of cellular communication network factor 1 (CCN1, also known as Cyr61), an extracellular matrix-associated protein, in modulating the TME of PDAC. It is demonstrated that Ccn1 promotes PDAC progression by upregulating collagen and chemokine expression, thereby facilitating immune cell exclusion and enhancing tumor growth. Using a Ccn1-deficient PDAC model, decreased collagen and chemokine levels are observed, resulting in increased infiltration of cytotoxic immune cells and reduced myeloid-derived suppressor cells (MDSCs). Furthermore, Ccn1-deficient tumors exhibit heightened sensitivity to gemcitabine and show enhanced responsiveness to anti-programmed cell death 1 (anti-PD1) therapy. Mechanistically, Ccn1 regulates chemokine production through collagen expression, with chemokine levels remaining suppressed even upon interferon-gamma treatment in collagen-deficient cells. These findings highlight Ccn1 as a potential therapeutic target that reprograms the TME to enhance the efficacy of both chemotherapy and immunotherapy in PDAC, providing a novel approach for overcoming immune resistance in PDAC.

Advanced ScienceVol. 12(23)
Hubei University of Medicine (CN), St. John's University (US), Dalian Institute of Chemical Physics (CN), Chinese Academy of Sciences (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), XinHua Hospital (CN), Shanghai Innovative Research Center of Traditional Chinese Medicine (CN), University of Maryland, College Park (US)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Natural Science Foundation of Jiangxi Province
Good health and well-being
Openalex Percentile: Top 9%
Connective Tissue Growth Factor Research
3.22
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