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April 16, 2026Gut0 citationsOpen Access

Stromal biomarker-based framework for identifying pMMR/MSS and dMMR/MSI colorectal cancers with poor outcomes and limited benefit from immunotherapy

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MCMar Iglesias ComaJBJordi Badia-RamentolCMCarolina Martínez‐Ciarpaglini

Key Points

  • The study aims to identify biomarkers linked to cancer-associated fibroblasts that can improve patient stratification and predict therapeutic responses in colorectal cancer.
  • Applied a multiomic approach integrating single-cell RNA sequencing and computational cell deconvolution.
  • Performed protein-level assessment from patient tumours and preclinical models.
  • Conducted retrospective analysis of over 3000 patient samples across multiple cohorts.
  • Identified a distinct subset of CAFs expressing CTHRC1 associated with poor clinical outcomes.
  • CTHRC1(+) CAFs indicated increased TGF-beta signalling and linked to treatment resistance.
  • Stratified dMMR/MSI and pMMR/MSS tumours into immune-inflamed and poorly immunogenic subtypes.

Abstract

Background Colorectal cancer (CRC) remains a leading cause of cancer mortality worldwide, with clinical progress limited by intratumoural cellular diversity and the absence of robust, informative markers. Objective Leveraging the heterogeneity of cancer-associated fibroblasts (CAFs) within the tumour microenvironment, this study aims to identify and evaluate candidate biomarkers to support patient stratification and improve prediction of therapeutic responses. Design We applied a multiomic approach integrating single-cell RNA sequencing, computational cell deconvolution and protein-level assessment from patient tumours, complemented by in vitro and in vivo preclinical models, to characterise stromal populations linked to CRC progression and treatment resistance. Results Retrospective analysis of over 3000 patient samples across multiple cohorts identified a distinct subset of CAFs expressing collagen triple helix repeat containing 1 (CTHRC1). CTHRC1(+) CAFs were associated with increased transforming growth factor-beta (TGF-beta) signalling and poor clinical outcomes in early and advanced disease stages. CTHRC1(+) CAFs enabled stratification of both mismatch repair-deficient/microsatellite instability (dMMR/MSI) and mismatch repair-proficient/microsatellite stability (pMMR/MSS) tumours into immune-inflamed and poorly immunogenic subtypes. Retrospective analysis of several clinical trials revealed that CTHRC1(+) CAFs are linked to resistance to immune checkpoint inhibitors in MSI and MSS tumours, suggesting therapeutic potential for combining TGF-beta blockade with immunotherapy. Conclusion CTHRC1-expressing CAFs represent clinically relevant biomarkers that link molecular profiling with diagnostic pathology. Our findings support the potential incorporation of CTHRC1(+) CAF assessment into routine histopathological workflows, pending prospective validation, and suggest a framework for stroma-informed CRC stratification, particularly in patients with stroma-rich, treatment-resistant tumours and pMMR/MSS with limited therapeutic options.

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Cite This Study

Coma et al. (2026) studied this question.

synapsesocial.com/papers/69e07dc72f7e8953b7cbeb16https://doi.org/10.1136/gutjnl-2025-336804
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