Evidence map›Paper›PMID 40360558›Full record

ArticleScientific reports2025

Development and validation of a cancer-associated fibroblast gene signature-based model for predicting immunotherapy response in colon cancer.

Daoyang Zou, Xi Xin, Huangzhen Xu, Yunxian Xu, Tianwen Xu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. A Metastasis-competent CAF Subpopulation Defined byRecent patents on anti-cancer drug discovery · 2026
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Daoyang ZouThe Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Xi XinGanzhou People's Hospital, Ganzhou, China.
Huangzhen XuThe Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Yunxian XuThe Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Tianwen XuThe Second Affiliated Hospital of Fujian Medical University, Quanzhou, China. xutianwen53@163.com.

Funding

Bureau of Science and Technology of Ganzhou Municipality No.GZ2021ZSF341Jiangxi Provincial Administration of Traditional Chinese Medicine No.SZYYB20224071
6 · The paper itself

Abstract

The efficacy of immune checkpoint inhibitors in colon cancer has been established, and there is an urgent need to identify new molecular markers for colon cancer immunotherapy to guide clinical decisions. Using the "EPIC" and "MCPcounter" R packages to conduct cancer-associated fibroblast (CAF) infiltration scoring on colon cancer samples from the TCGA database and the GEO database, the WGCNA analysis was performed on the two databases' samples based on the CAF infiltration scores to screen for CAF-related genes. LASSO regression analysis was used to construct a risk model with these genes. Comprehensive bioinformatics analysis was conducted on the constructed model to evaluate the stability of its prediction of CAF infiltration abundance and the stability of its prediction of immunotherapy efficacy. The newly constructed risk model could well reflect the abundance of CAF infiltration in colon cancer, with a correlation coefficient of 0.91 in the training cohort TCGA-COAD and 0.88 in the validation cohort GSE39582. GSEA analysis revealed that CAF is closely related to functions associated with extracellular matrix remodeling. The constructed risk model can predict the efficacy of immunotherapy in colon cancer well, with the high-risk group showing significantly poorer immunotherapy response than the low-risk group, with an expected effective rate of immunotherapy of 68 vs. 24% in the training group (P < 0.001) and 64 vs. 26% in the validation group (P < 0.001). The AUC value for predicting immunotherapy response by the risk model in the training group was 0.780 (95% CI 0.736-0.820), and in the validation group, the AUC value was 0.774 (95% CI 0.735-0.810). Drug sensitivity analysis showed that the expected chemotherapeutic effect in the low-risk group was superior to that in the high-risk group. CAF is associated with immunosuppression and drug resistance. Predicting the efficacy of immunotherapy in colon cancer based on the abundance of CAF infiltration is a feasible approach. For the high-risk population identified by our model, clinical consideration should be given to prioritizing non-immunotherapy approaches to avoid potential risks associated with immunotherapy.

Indexed as

Cancer-Associated FibroblastsColonic NeoplasmsImmunotherapyTranscriptomeBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansTumor MicroenvironmentBiomarkers, TumorCancer-associated fibroblasts (CAF)Colon cancerImmunotherapy response predictionRisk stratification modelTumor microenvironment

Identifiers

PMID40360558
PMCPMC12075585

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.