Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 160

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Cancer associated fibroblasts: is the force the path to the dark side?

Barbazán, Jorge, Matic Vignjevic, Danijela·2019·Current Opinion in Cell Biology

Abstract

The most abundant cell type in the tumor microenvironment are cancer-associated fibroblasts (CAFs). CAFs play an important role in tumor growth and progression. Besides direct communication with cancer cells via secreted molecules or cell-cell adhesions, CAFs also indirectly affect cancer cell behavior by remodeling the extracellular matrix (ECM). Here, we summarize recent findings on the distinct mechanisms that CAFs use to modify ECM, specifically, their proteolytic versus force-dependent activity. We then review the consequences of CAF force transmission on the physico-chemical properties of the matrix, focusing on the deposition of new matrix components, and the alteration of the organization and stiffness of the ECM. CAFs promote tumor invasion by creating the roads cancer cells use to escape the tumor mass. However, there is also evidence that CAFs can prevent invasion, possibly by forming a physical barrier around the tumor edge. We discuss the controversial role of CAFs in tumor progression.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ceb.2018.09.002

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 19 references

Cited by

See all 160

Metadata

Authors
Barbazán, J., & Matic Vignjevic, D.
Venue
Current Opinion in Cell Biology
Publisher
Elsevier BV
Published
2019-02
Volume
56
Pages
71-79
ISSN
0955-0674 (ISSN-L)
OpenAlex
W2895852536
Cited by
160
References
19
FWCI
1.58
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cancer associated fibroblasts: is the force the path to the dark side? https://app.cochat.ai/papers/10.1016/j.ceb.2018.09.002
The paper
Barbazán, J., & Matic Vignjevic, D. (2019). Cancer associated fibroblasts: is the force the path to the dark side? Current Opinion in Cell Biology. https://doi.org/10.1016/j.ceb.2018.09.002

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.