Evidence map›Paper›PMID 39523476›Full record

ReviewFEBS open bio2025

Understanding and measuring mechanical signals in the tumor stroma.

Fàtima de la Jara Ortiz, Chiara Cimmino, Maurizio Ventre, Alessandra Cambi

Abstract readReview
In one paragraph

Review in FEBS open bio, 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Fàtima de la Jara OrtizDepartment of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-1567-3924
Chiara CimminoDepartment of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, Naples, Italy.ORCID https://orcid.org/0009-0004-2369-0048
Maurizio VentreDepartment of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, Naples, Italy.ORCID https://orcid.org/0000-0003-3375-9112
Alessandra CambiDepartment of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0003-1597-1582

Funding

Exacte en Natuurwetenschappen R0007315
6 · The paper itself

Abstract

The tumor microenvironment (TME) is well known for its immune suppressive role, especially in solid tumors which are characterized by a thick, dense stroma. Apart from cell-cell interactions and biochemical signals, the tumor stroma is also characterized by its distinct mechanical properties, which are dictated by the composition and architecture of its extracellular matrix (ECM). Cancer-associated fibroblasts (CAFs) are the main producers and remodelers of the stromal ECM, and their heterogeneity has recently become a focus of intense research. This review describes recent findings highlighting CAF subtypes and their specific functions, as well as the development of 3D models to study tumor stroma mechanics in vitro. Finally, we discuss the quantitative techniques used to measure tissue mechanical properties at different scales. Given the diagnostic and prognostic value of stroma stiffness and composition, and the recent development of anti-tumor therapeutic strategies targeting the stroma, understanding and measuring tumor stroma mechanical properties has never been more timely or relevant.

Indexed as

Cancer-Associated FibroblastsNeoplasmsTumor MicroenvironmentAnimalsBiomechanical PhenomenaExtracellular MatrixHumansStromal Cellscancer‐associated fibroblastextracellular matrixmechanobiologystiffnesstumor mechanics

Identifiers

PMID39523476
PMCPMC12485653

What OpenQuestion holds

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LicenceCC BY
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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.