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

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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Publication Details

Journal
Gut
Published
2026-04-14
DOI
https://doi.org/10.1136/gutjnl-2025-336804
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Jenniffer Linares, Alba Recort-Bascuas, Joan Gibert, Alexandre Calon et al.
Gut
Single-cell and spatial transcriptomics
article

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

Jenniffer Linares, Alba Recort-Bascuas, Joan Gibert, Alexandre Calon, Anna Sallent-Aragay, Jordi Badia-Ramentol, Eduard Batlle, Carolina Martínez‐Ciarpaglini, Clara Montagut, José Luis Manzano Mozo, Núria Mulet-Margalef, Andres Cervantes, Daniele V F Tauriello, Marina Carreras-Gallardo, Noelia Tarazona, Paula Tornero-Piñero, Marta Sant-Albors, Mar Iglesias Coma, Melba Cruz-Moral, Elena Sancho, Clara Morral Martinez, Marta Garrido
article en

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.

Gut
Institució Catalana de Recerca i Estudis Avançats (ES), Universitat de València (ES), Universitat Pompeu Fabra (ES), Instituto de Salud Carlos III (ES), Hospital Clínico Universitario de Valencia (ES), Institute for Research in Biomedicine (ES), Hospital Del Mar (ES), Badalona Serveis Assistencials (ES), Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (ES), Erasmus MC Cancer Institute (NL), Hospital Municipal de Badalona (ES), INCLIVA Health Research Institute (ES), Centro de Investigación Biomédica en Red de Cáncer (ES)
Fundación Científica Asociación Española Contra el Cáncer, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III, Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 20%
Single-cell and spatial transcriptomics
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