Cancer‐associated fibroblast subtypes in the tumor microenvironment of prostate cancer and associations to patient outcomes

Prostate cancer (PC) is a prevalent malignancy, and outcomes range from indolent disease to terminal illness. Prostate-specific antigen-based diagnostics lack specificity and correlation with tumor aggressiveness, leading to overdiagnosis and undertreatment. Recent studies on cancer-associated fibroblasts (CAFs) have identified antigen presenting CAFs (apCAF), inflammatory CAFs (iCAF), and myofibrillar CAFs (myCAF) in pancreatic ductal adenocarcinoma, non-small-cell lung cancer, and breast cancer. However, their significance in PC is not yet understood. This study employs publicly available single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data combined with multiplex immunofluorescence (mIF) and digital pathology analyses of radical prostatectomy (RP) specimens from two cohorts (cohort 1, n = 235; cohort 2, n = 240) to identify CAF subtypes in localized PC and their association with biochemical recurrence (BCR) by uni- and multivariable [adjusted for Cancer of the Prostate Risk Assessment postsurgical (CAPRA-S) score] Cox regression analyses. We identified myCAFs, iCAFs, and apCAFs in PC by analyzing scRNA-seq and ST data. We also identified the three CAF subtypes by mIF staining of RP specimens from cohorts 1 and 2. In prostate tumors, higher numbers of apCAFs and myCAFs were present close to malignant versus adjacent nonmalignant (AN) glands (p < 0.001, Wilcoxon test), whereas we saw no significant difference for iCAFs. In univariable Cox regression analyses, high levels of apCAFs and iCAFs were associated with increased risk of BCR in cohort 1 [apCAF: hazard ratio (HR): 1,78, p < 0.05, iCAF: HR: 1,76, p < 0.05] and confirmed in cohort 2 (apCAF: HR: 1.85, p < 0.05, iCAF: HR: 2.06, p < 0.05). In multivariable Cox regression analyses, both apCAF and iCAF levels remained independently associated with BCR after adjustment for CAPRA-S score. Our findings imply the potential of CAF subtypes as biomarkers for risk stratification in PC. © 2026 The Pathological Society of Great Britain and Ireland.

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Journal
The Journal of Pathology
Published
2026-01-26
DOI
https://doi.org/10.1002/path.70023
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
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article
Field-Weighted Citation Impact
22.24
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article

Cancer‐associated fibroblast subtypes in the tumor microenvironment of prostate cancer and associations to patient outcomes

Michael Borre, Jeanette Bæhr Georgsen, Benedicte Ulhøi, Karina D. Sørensen et al.
1 citations
The Journal of Pathology
Single-cell and spatial transcriptomics
22.24
article

Cancer‐associated fibroblast subtypes in the tumor microenvironment of prostate cancer and associations to patient outcomes

Michael Borre, Jeanette Bæhr Georgsen, Benedicte Ulhøi, Karina D. Sørensen, Marcus Lunau Blanke, Paul Vinu Salachan, Jacob Fredsøe
article en
1 citations

Abstract

Prostate cancer (PC) is a prevalent malignancy, and outcomes range from indolent disease to terminal illness. Prostate-specific antigen-based diagnostics lack specificity and correlation with tumor aggressiveness, leading to overdiagnosis and undertreatment. Recent studies on cancer-associated fibroblasts (CAFs) have identified antigen presenting CAFs (apCAF), inflammatory CAFs (iCAF), and myofibrillar CAFs (myCAF) in pancreatic ductal adenocarcinoma, non-small-cell lung cancer, and breast cancer. However, their significance in PC is not yet understood. This study employs publicly available single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data combined with multiplex immunofluorescence (mIF) and digital pathology analyses of radical prostatectomy (RP) specimens from two cohorts (cohort 1, n = 235; cohort 2, n = 240) to identify CAF subtypes in localized PC and their association with biochemical recurrence (BCR) by uni- and multivariable [adjusted for Cancer of the Prostate Risk Assessment postsurgical (CAPRA-S) score] Cox regression analyses. We identified myCAFs, iCAFs, and apCAFs in PC by analyzing scRNA-seq and ST data. We also identified the three CAF subtypes by mIF staining of RP specimens from cohorts 1 and 2. In prostate tumors, higher numbers of apCAFs and myCAFs were present close to malignant versus adjacent nonmalignant (AN) glands (p < 0.001, Wilcoxon test), whereas we saw no significant difference for iCAFs. In univariable Cox regression analyses, high levels of apCAFs and iCAFs were associated with increased risk of BCR in cohort 1 [apCAF: hazard ratio (HR): 1,78, p < 0.05, iCAF: HR: 1,76, p < 0.05] and confirmed in cohort 2 (apCAF: HR: 1.85, p < 0.05, iCAF: HR: 2.06, p < 0.05). In multivariable Cox regression analyses, both apCAF and iCAF levels remained independently associated with BCR after adjustment for CAPRA-S score. Our findings imply the potential of CAF subtypes as biomarkers for risk stratification in PC. © 2026 The Pathological Society of Great Britain and Ireland.

The Journal of PathologyVol. 268(4)
Aarhus University (DK), Aarhus University Hospital (DK)
Good health and well-being
Openalex Percentile: Top 2%
Single-cell and spatial transcriptomics
22.24
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