Single-cell profiling reveals a novel CAF subpopulation linking stromal heterogeneity to immune suppression in breast cancer subtypes
BACKGROUND: The tumor microenvironment critically influences breast cancer (BC) progression, immune surveillance, and therapeutic response. Cancer-associated fibroblasts (CAFs), a heterogeneous stromal population, are key regulators of these processes, yet their subtype-specific contributions in BC remain insufficiently defined. METHODS: We integrated three single-cell RNA sequencing datasets from 29 BC patients to characterize stromal populations. Bulk RNA-seq data from The Cancer Genome Atlas (TCGA) were analyzed to assess correlations between CAF subsets and immune infiltration. Gene signatures were derived to identify subtype-specific CAF-immune interactions, prognostic markers, and potential predictors of chemotherapy response. RESULTS: Three conserved stromal populations (iCAFs, myCAFs, and pericytes) were identified, along with a previously unrecognized subset, the cluster 3 (CL3) CAF-like cells, referred as metabolic stressed CAF (msCAF). msCAF cells displayed transcriptional programs associated with antigen presentation, stress response, glycolysis, and extracellular matrix remodeling. Their abundance was inversely correlated with T-cell infiltration and function, in a subtype-specific manner: triple negative breast cancer (TNBC) was enriched for msCAFs in immune-infiltrated but functionally constrained microenvironments, whereas Luminal A tumors exhibited weaker immune infiltration with heterogeneous CAF-immune associations. msCAFs were characterized by a conserved gene signature (HLA-A, HLA-C, IL32, EMP3) and subtype-specific genes related to T-cell exhaustion. Several genes demonstrated prognostic relevance with distinct patterns in Luminal A (IER3, TIMP1, TBX3, SEC61G) and TNBC (ADM, C4orf3, LDHA) tumors, as well as shared biomarkers (FN1, LOXL2, P4HA1). Multiple msCAF genes also predicted chemotherapy response, suggesting utility as treatment stratification biomarkers. CONCLUSION: msCAFs represent a clinically relevant CAF subset that drives immune suppression, impacts subtype-specific prognosis, and influences therapy response in BC. These findings highlight msCAFs as promising targets for enhancing immunotherapy and personalizing treatment strategies.
Authors
- Daniele Santoni (ORCID: https://orcid.org/0000-0003-1898-5285)
- Federica Conte (ORCID: https://orcid.org/0000-0003-0427-1476)
- Loredana Cifaldi (ORCID: https://orcid.org/0000-0001-5014-430X)
- Tancredi Massimo Pentimalli (ORCID: https://orcid.org/0000-0002-8461-7918)
- Giovanni Barillari (ORCID: https://orcid.org/0000-0003-3423-4852)
- Ombretta Melaiu (ORCID: https://orcid.org/0000-0001-7118-5186)
- Chiara Cencioni
- Roberto Bei (ORCID: https://orcid.org/0000-0001-9541-8896)
- Virginia Vigiano Benedetti
- Francesco Spallotta (ORCID: https://orcid.org/0000-0002-0466-6286)
Institutions
- Università Cattolica del Sacro Cuore (IT)
- University of Rome Tor Vergata (IT)
- Max Delbrück Center (DE)
- Charles Darwin University (AU)
- Humboldt-Universität zu Berlin (DE)
- Institute for Systems Analysis (RU)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Istituto Pasteur (IT)
- National Research Council (IT)
- Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti (IT)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1186/s12967-026-08446-x
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00