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Updated: Aug 8, 2025

A Mouse Model to Investigate the Role of Cancer-Associated Fibroblasts in Tumor Growth
Published on: December 22, 2020
Safe engineering of cancer-associated fibroblasts enhances checkpoint blockade immunotherapy
Shizhen Geng1, Tingting Xiang1, Yunya Zhang1
1School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Abstract:
Abundant cancer-associated fibroblasts (CAFs) in highly fibrotic breast cancer constitute an immunosuppressive barrier for T cell activity and are closely related to the failure of immune checkpoint blockade therapy (ICB). Inspired by the similar antigen-processing capacity of CAFs to professional antigen-presenting cells (APCs), a "turning foes to friends" strategy is proposed by in situ engineering immune-suppressed CAFs into immune-activated APCs for improving response rates of ICB. To achieve safe and specific CAFs engineering in vivo, a thermochromic spatiotemporal photo-controlled gene expression nanosystem was developed by self-assembly of molten eutectic mixture, chitosan andfusion plasmid. After photoactivatable gene expression, CAFs could be engineered as APCs via co-stimulatory molecule (CD86) expression, which effectively induced activation and proliferation of antigen-specific CD8 + T cells. Meanwhile, engineered CAFs could also secrete PD-L1 trap protein in situ for ICB, avoiding potential autoimmune-like disorders caused by "off-target" effects of clinically applied PD-L1 antibody. The study demonstrated that the designed nanosystem could efficiently engineer CAFs, significantly enhance the percentages of CD8+ T cells (4-folds), result in about 85% tumor inhibition rate and 83.3% survival rate at 60 days in highly fibrotic breast cancer, further inducing long-term immune memory effects and effectively inhibiting lung metastasis.
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08:02Isolation of Primary Cancer-Associated Fibroblasts from a Syngeneic Murine Model of Breast Cancer for the Study of Targeted Nanoparticles
Published on: May 14, 2021
09:01Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
Published on: July 3, 2025
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