Evidence map›Paper›PMID 42050076›Full record

ArticleOncogene2026

Fibroblast dynamics in colorectal cancer: stability, plasticity, and novel markers.

Richard Demmler, Charles G Anchang, Yongsong Yong, Andreas Ramming, Simon Rauber, Vera S Schellerer, Benjamin Schmid, Arndt Hartmann, Susanne Merkel, Katharina Imkeller and 2 more

Abstract read
In one paragraph

Article in Oncogene, 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

12 authors.

Richard DemmlerDivision of Molecular and Experimental Surgery, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.ORCID http://orcid.org/0009-0004-3476-2481
Charles G AnchangDepartment of Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Uniklinikum Erlangen, Erlangen, Germany.
Yongsong YongDivision of Molecular and Experimental Surgery, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.ORCID http://orcid.org/0009-0001-5345-962X
Andreas RammingDepartment of Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Uniklinikum Erlangen, Erlangen, Germany.
Simon RauberDepartment of Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Uniklinikum Erlangen, Erlangen, Germany.ORCID http://orcid.org/0000-0001-8306-9334
Vera S SchellererDivision of Molecular and Experimental Surgery, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Benjamin SchmidFAU Competence Centre Optical Imaging Centre Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.ORCID http://orcid.org/0000-0002-9327-2296
Arndt HartmannInstitute of Pathology, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Susanne MerkelCCC Erlangen-EMN: Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen, Germany.ORCID http://orcid.org/0000-0003-2676-9486
Katharina ImkellerInstitute of Neurology (Edinger Institute), Goethe University, University Hospital Frankfurt, Frankfurt/Main, Germany.
Elisabeth NaschbergerDivision of Molecular and Experimental Surgery, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.ORCID http://orcid.org/0000-0003-1291-622X
Michael StürzlDivision of Molecular and Experimental Surgery, Uniklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany. Michael.stuerzl@uk-erlangen.de.ORCID http://orcid.org/0000-0002-9276-2824

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 280163318Deutsche Forschungsgemeinschaft (German Research Foundation) 375876048Deutsche Forschungsgemeinschaft (German Research Foundation) 429280966Deutsche Forschungsgemeinschaft (German Research Foundation) 437201724Deutsche Forschungsgemeinschaft (German Research Foundation) TRR 417 subproject P16Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg (Interdisciplinary Center for Clinical Research, University Hospital of Würzburg) D34
6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most commonly diagnosed and globally spread malignant diseases. Cancer-associated fibroblasts (CAFs) are key architects of the tumor microenvironment, yet their origin, stability, and interconvertibility remain poorly understood. Using transcriptomic profiling of fibroblasts from colorectal cancer (CRC) patients, we identify highly expressed (HEX) markers that define fibroblast subpopulations and uncover mechanisms governing their plasticity. We find that ADH1B marks normal colon-associated fibroblasts (NAFs), which consist of PI16-NAFs and ADAMDEC1-NAFs. ITGA3 delineates the total CAF population, which comprises myofibroblastic CAFs (myCAFs), whose characterizing markers were associated with poor prognosis and proteolytic inflammatory CAFs (piCAFs), characterized by markers not associated with prognosis. An AGT/TGM2-expressing fibroblast subset is present in both healthy and tumor tissues, suggesting alternative trajectories to the classical NAF-to-CAF transition model. While PI16-NAFs, AGT/TGM2-fibroblasts, and myCAFs maintain stable identities in long-term culture, the ADAMDEC1-NAF and piCAF phenotypes are lost in vitro. ITGA3-CAFs demonstrate dynamic plasticity, with TGF-β stably inducing myCAF formation and TNF-α or inhibition of DNA methylation promoting transient piCAF emergence. These findings redefine fibroblast heterogeneity in CRC and reveal a coexisting stable and plastic fibroblast network that may be amenable to modulation and provides a framework for future functional and translational studies. We identified highly expressed markers (HEX markers) to distinguish CAFs, NAFs and corresponding subpopulations in CRC. ADH1B characterized NAFs, which consisted of stable (solid outline) PI16-NAFs and unstable (dashed outline) ADAMDEC1-NAFs. ITGA3 identified CAFs consisting of stable myCAFs associated with poor prognosis and unstable piCAFs not associated with prognosis. AGT/TGM2 fibroblasts did not express ADH1B or ITGA3, were stable in culture and could be detected in both healthy colon and CRC. Treatment of PI16-NAFs with LPS or IFN-γ induced ADAMDEC1-NAFs, TGF-β the formation of myCAFs, while treatment with TNF-α led to the formation of piCAFs. Reduced DNA methylation converted myCAFs and PI16-NAFs into piCAFs.

Indexed as

Biomarkers, TumorCancer-Associated FibroblastsColorectal NeoplasmsCell PlasticityGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID42050076
PMCPMC13249576

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.