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Extracellular matrix cancer-associated fibroblasts promote stromal fibrosis and immune exclusion in triple-negative breast cancer

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机构: [1]Department of Pathology, West China Hospital, Sichuan University, Chengdu, PR China. [2]Laboratory of Breast Pathology and Artificial Intelligence, West China Hospital, Sichuan University, Chengdu, PR China. [3]Breast Center, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, PR China. [4]Institute of Clinical Pathology, West China Hospital, Sichuan University, Chengdu, PR China.
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关键词: triple-negative breast cancer tumor microenvironment extracellular matrix cancer-associated fibroblasts macrophages immunotherapy

摘要:
The impact of high heterogeneity of cancer-associated fibroblasts (CAFs) on triple-negative breast cancer (TNBC) immunotherapy response has not been fully elucidated, restricting progress in precision immuno-oncology. We integrated single-cell transcriptomic data from 18 TNBC patients and analyzed fibroblast subpopulations. Extracellular matrix CAFs (ecmCAFs) were identified as a fibroblast subpopulation with distinct ECM-associated characteristics. The ecmCAFs were significantly enriched in TNBC patients with residual disease after neoadjuvant immunotherapy and contributed to a fibrotic tumor microenvironment and T-cell exclusion. Secreted phosphoprotein 1 (SPP1) positive macrophages (SPP1+ Mφs) were closely localized to ecmCAFs and produced more transforming growth factor beta (TGFB1), interleukin 1 beta (IL1B), and SPP1 under hypoxic conditions. SPP1+ Mφs were found to facilitate the differentiation of normal breast fibroblasts to ecmCAFs, thus promoting ECM remodeling and stromal fibrosis. Our work revealed the critical role of ecmCAFs in generating a desmoplastic architecture and driving immunosuppression in TNBC. © 2025 The Pathological Society of Great Britain and Ireland.© 2025 The Pathological Society of Great Britain and Ireland.

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大类 | 2 区 医学
小类 | 1 区 病理学 2 区 肿瘤学
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第一作者机构: [1]Department of Pathology, West China Hospital, Sichuan University, Chengdu, PR China. [2]Laboratory of Breast Pathology and Artificial Intelligence, West China Hospital, Sichuan University, Chengdu, PR China.
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通讯机构: [1]Department of Pathology, West China Hospital, Sichuan University, Chengdu, PR China. [2]Laboratory of Breast Pathology and Artificial Intelligence, West China Hospital, Sichuan University, Chengdu, PR China.
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