Evidence mapPaperPMID 42417161Full record

ReviewJCI insight2026

The extracellular matrix in cancer-associated fibrosis: molecular mechanisms and clinical relevance.

Romain Desert, Orlando Musso, Thomas F Baumert

Abstract readReview
In one paragraph

Review in JCI insight, 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

3 authors.

Romain DesertUniversity of Strasbourg, Inserm, Institute for Translational Medicine and Liver Disease, UMR_S1110, Strasbourg, France.
Orlando MussoInserm, University of Rennes, INRAe, UMR 1317, Nutrition, Métabolismes et Cancer, Rennes, France.
Thomas F BaumertUniversity of Strasbourg, Inserm, Institute for Translational Medicine and Liver Disease, UMR_S1110, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ECM is a dynamic component of the tumor microenvironment with a critical role in cancer progression, invasion, metastasis, immune exclusion, and response to therapy. Recent advances in proteomic analyses investigating the insoluble ECM fractions (termed "matrisome analysis"), along with single-cell RNA sequencing and spatial transcriptomics, have revealed cancer-specific patterns of ECM remodeling. These studies have identified a panel of recurrently upregulated ECM proteins, including annexin A1, fibrillin-1, fibronectin, periostin, and tenascin-C, actively contributing to tumor growth, invasion, angiogenesis, and immune exclusion. The expression of the cancer-associated ECM is largely driven by cancer-associated fibroblasts (CAFs), whose molecular diversity has been dissected through single-cell profiling and consolidated in emerging CAF atlases across cancers. By investigating the matrisome composition and CAF heterogeneity, these studies have unraveled the pivotal role of the stroma in shaping tumor biology. Based on these discoveries, ECM proteins and CAFs are now being explored as biomarkers and therapeutic targets. Future integration of multi-omics datasets with clinical outcomes will help to translate these insights into novel biomarkers for patient stratification and stroma-directed therapeutic interventions.

Indexed as

Cancer-Associated FibroblastsExtracellular MatrixNeoplasmsTumor MicroenvironmentAdipokinesAnimalsAnnexin A1Biomarkers, TumorExtracellular Matrix ProteinsFibrillin-1FibronectinsFibrosisHumansPeriostinProteomicsTenascinAdipokinesAnnexin A1Biomarkers, TumorExtracellular Matrix ProteinsFBN1 protein, humanFibrillin-1FibronectinsPeriostinTenascin

Identifiers

PMID42417161
PMCPMC13460820

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.