Evidence map›Paper›PMID 37539058›Full record

ArticleFrontiers in immunology2023

Fibroblast-derived matrix models desmoplastic properties and forms a prognostic signature in cancer progression.

Maria Rafaeva, Adina R D Jensen, Edward R Horton, Kamilla W Zornhagen, Jan E Strøbech, Lutz Fleischhauer, Alejandro E Mayorca-Guiliani, Sebastian R Nielsen, Dina S Grønseth, Filip Kuś and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Glutamine-dependent changes in fibroblast-derived extracellular matrix dictate cancer cell behavior.Matrix biology : journal of the International Society for Matrix Biology · 2026
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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

17 authors at 6 institutions in 3 countries.

Maria RafaevaBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Adina R D JensenBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Edward R HortonBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Kamilla W ZornhagenBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Jan E StrøbechBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Lutz FleischhauerCenter for Applied Tissue Engineering and Regenerative Medicine-CANTER, Munich University of Applied Sciences, Munich, Germany.
Alejandro E Mayorca-GuilianiBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Sebastian R NielsenBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Dina S GrønsethBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Filip KuśBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Erwin M SchoofBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Luis ArnesBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Manuel KochCenter for Biochemistry, Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Hauke Clausen-SchaumannCenter for Applied Tissue Engineering and Regenerative Medicine-CANTER, Munich University of Applied Sciences, Munich, Germany.
Valerio IzziFaculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Raphael ReutenBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
Janine T ErlerBiotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DKMunich University of Applied Sciences · DERigshospitalet · DKUniversity Hospital Cologne · DEUniversity Medical Center Freiburg · DEUniversity of Oulu · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The desmoplastic reaction observed in many cancers is a hallmark of disease progression and prognosis, particularly in breast and pancreatic cancer. Stromal-derived extracellular matrix (ECM) is significantly altered in desmoplasia, and as such plays a critical role in driving cancer progression. Using fibroblast-derived matrices (FDMs), we show that cancer cells have increased growth on cancer associated FDMs, when compared to FDMs derived from non-malignant tissue (normal) fibroblasts. We assess the changes in ECM characteristics from normal to cancer-associated stroma at the primary tumor site. Compositional, structural, and mechanical analyses reveal significant differences, with an increase in abundance of core ECM proteins, coupled with an increase in stiffness and density in cancer-associated FDMs. From compositional changes of FDM, we derived a 36-ECM protein signature, which we show matches in large part with the changes in pancreatic ductal adenocarcinoma (PDAC) tumor and metastases progression. Additionally, this signature also matches at the transcriptomic level in multiple cancer types in patients, prognostic of their survival. Together, our results show relevance of FDMs for cancer modelling and identification of desmoplastic ECM components for further mechanistic studies.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsExtracellular Matrix ProteinsFibroblastsHumansPrognosisExtracellular Matrix Proteinsbreast cancerdesmoplasiaextracellular matrixfibroblastsmechanicsmodelspancreatic cancer

Identifiers

PMID37539058
PMCPMC10395327
OpenAlexW4384694984

What OpenQuestion holds

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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 OpenQuestion graph.