Evidence map›Paper›PMID 42902379›Full record

ArticleJournal of translational medicine2026

P4HA1⁺ collagen-modifying fibroblasts are associated with pro-tumor niches and therapeutic vulnerabilities in colorectal cancer.

Kai Gui, Yan Chen, Qinqin Du, Ke Lv, Weitao Wang, Ziyun Li, Yuhang Cheng, Wenyan Wu, Min Tang, Cheng Zhang and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

11 authors.

Kai Gui *The Center for Clinical Molecular Medical Detection, Engineering Research Center of Chongqing Education Commission of China for IVD Technology Innovation and Translation, Laboratory Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yan Chen *School of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnostics, Chongqing Medical University, Ministry of Education, Chongqing, China.
Qinqin Du *School of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnostics, Chongqing Medical University, Ministry of Education, Chongqing, China.
Ke LvLaboratory of Neurological Diseases and Interdisciplinary Medicine, Department of Neurosurgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Weitao WangSchool of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnostics, Chongqing Medical University, Ministry of Education, Chongqing, China.
Ziyun LiSchool of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnostics, Chongqing Medical University, Ministry of Education, Chongqing, China.
Yuhang ChengSchool of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnostics, Chongqing Medical University, Ministry of Education, Chongqing, China.
Wenyan WuDepartment of Clinical Laboratory, Chongqing Emergency Medical Center, Chongqing University Central Hospital, Chongqing, China. wwy_86@163.com.
Min TangSchool of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnostics, Chongqing Medical University, Ministry of Education, Chongqing, China. tangmin@cqmu.edu.cn.
Cheng ZhangDepartment of Clinical Laboratory, Dazhou Dachuan District People's Hospital, Dazhou, Sichuan, China. 1404539844@qq.com.
Li WangThe Center for Clinical Molecular Medical Detection, Engineering Research Center of Chongqing Education Commission of China for IVD Technology Innovation and Translation, Laboratory Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Liwang43@hospital.cqmu.edu.cn.ORCID http://orcid.org/0000-0003-3379-2721

Funding

the China Postdoctoral Science Foundation 2024M763898the Chongqing Postdoctoral Special Funding Project 2024CQBSHTB3005the National Natural Science Foundation of China 82402696the Natural Science Foundation of Chongqing CSTB2024NSCQ-MSX1223
6 · The paper itself

Abstract

backgroundCancer-associated fibroblasts (CAFs) are a major stromal component of the tumor microenvironment (TME) and actively participate in tumor progression. Although CAF heterogeneity in colorectal cancer (CRC) is increasingly recognized, how individual CAF subpopulations simultaneously coordinate extracellular matrix (ECM) remodeling, angiogenesis, and immune suppression within spatially organized niches remains poorly understood.

methodsCAF heterogeneity was systematically analyzed by integrating single-cell RNA sequencing, spatial transcriptomics, and bulk transcriptomic data. By combining cell clustering, pseudotime analysis, transcriptional regulatory network inference, spatial deconvolution, and ligand-receptor interaction analysis, we revealed the spatial distribution and cellular communication characteristics of CAF subpopulations. At the same time, machine learning-based prognostic models and transcriptional perturbation analysis were used to evaluate the clinical significance and potential therapeutic value of CAF-related transcriptional programs.

resultsWe identified a prolyl 4-hydroxylase subunit alpha 1 (P4HA1)-positive collagen-modifying CAF subpopulation (P4HA1⁺ CAFs) that was enriched in tumor tissue and exhibited collagen remodeling characteristics. This subpopulation preferentially localized at the tumor-stroma interface, co-localizing with pro-angiogenic endothelial cells, immunosuppressive macrophages, and malignant epithelial cells to form a spatially organized niche with concurrent ECM remodeling, angiogenesis, and immune suppression. P4HA1⁺ CAFs were predicted to engage distinct ligand-receptor axes, including WNT5A-MCAM with endothelial cells, MDK-LRP1 with macrophages, and MDK-NCL with malignant epithelial cells. The MDK-NCL axis was associated with increased RANBP1 expression and enhanced tumor cell proliferation and invasion. Machine learning analysis further identified P4HA1, TIMP1, ARL4C, and SFRP4 as stable core genes associated with poor prognosis. Drug perturbation analysis showed that 2-methoxyestradiol and its combination with the histone deacetylase (HDAC) inhibitor JNJ-26,481,585 may partially reverse the malignant transcriptional program of P4HA1⁺ CAFs.

conclusionsThis study characterizes a P4HA1⁺ collagen-modifying CAF subpopulation that resides within a spatially organized multicellular niche and engages distinct signaling axes to simultaneously promote angiogenesis, immune suppression, and tumor cell proliferation in CRC, highlighting its prognostic and potential therapeutic value.

Indexed as

Cancer-Associated FibroblastsCollagenColorectal NeoplasmsProcollagen-Proline DioxygenaseTumor MicroenvironmentExtracellular MatrixGene Expression Regulation, NeoplasticHumansNeovascularization, PathologicCollagenProcollagen-Proline DioxygenaseCancer-associated fibroblastsExtracellular matrix remodelingSpatial nicheStromal–immune crosstalkTherapeutic vulnerability

Identifiers

PMID42902379
PMCPMC13682147

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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.