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Updated: Aug 30, 2025

A Mouse Model to Investigate the Role of Cancer-Associated Fibroblasts in Tumor Growth
Published on: December 22, 2020
Spatial Positioning and Matrix Programs of Cancer-Associated Fibroblasts Promote T-cell Exclusion in Human Lung
John A Grout1,2,3, Philemon Sirven4,5, Andrew M Leader1,2,3
1The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Two cancer-associated fibroblast (CAF) populations in lung tumors actively exclude T cells by altering tissue structure. Targeting these specific CAF types may improve immunotherapy effectiveness in patients with T cell-excluded tumors.
Area of Science:
- Immunology
- Oncology
- Cell Biology
Background:
- Cancer-associated fibroblasts (CAFs) are known to influence the tumor microenvironment and immune cell infiltration.
- T-cell exclusion from solid tumors is a significant barrier to effective cancer immunotherapy.
Purpose of the Study:
- To unbiasedly identify and characterize CAF populations responsible for T-cell exclusion in lung tumors.
- To understand the molecular and structural mechanisms by which CAFs mediate T-cell marginalization.
Main Methods:
- Single-cell RNA sequencing and multiplex imaging were employed on a large cohort of lung tumors.
- Identification and spatial characterization of distinct CAF subpopulations based on molecular markers and tissue organization.
Main Results:
- Four main CAF populations were identified, with two specifically linked to T-cell exclusion: MYH11+αSMA+ CAF (early-stage) and FAP+αSMA+ CAF (advanced-stage).
- These exclusionary CAF populations deposit dense, aligned fibers, creating a distinct tissue architecture compared to T cell-permissive CAFs.
- MYH11+αSMA+ CAF secrete collagen IV, while FAP+αSMA+ CAF secrete collagen XI/XII, contributing to differential matrix organization.
Conclusions:
- Specific CAF subpopulations orchestrate T-cell exclusion in lung tumors through unique molecular programs and structural modifications.
- Targeting these T cell-excluding CAF populations presents a potential strategy to enhance immunotherapy efficacy in patients with T cell-excluded tumors.
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