Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 676

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Cancer-associated fibroblasts induce epithelial–mesenchymal transition of breast cancer cells through paracrine TGF-β signalling

Open access
Yu, Y, Xiao, C-H, Tan, L-D, Wang, Q-S, Li, X-Q, Feng, Y-M·2014·British Journal of Cancer

Abstract

BACKGROUND: Cancer-associated fibroblasts (CAFs) activated by tumour cells are the predominant type of stromal cells in breast cancer tissue. The reciprocal effect of CAFs on breast cancer cells and the underlying molecular mechanisms are not fully characterised. METHODS: Stromal fibroblasts were isolated from invasive breast cancer tissues and the conditioned medium of cultured CAFs (CAF-CM) was collected to culture the breast cancer cell lines MCF-7, T47D and MDA-MB-231. Neutralising antibody and small-molecule inhibitor were used to block the transforming growth factor-β (TGF-β) signalling derived from CAF-CM, which effect on breast cancer cells. RESULTS: The stromal fibroblasts isolated from breast cancer tissues showed CAF characteristics with high expression levels of α-smooth muscle actin and SDF1/CXCL12. The CAF-CM transformed breast cancer cell lines into more aggressive phenotypes, including enhanced cell-extracellular matrix adhesion, migration and invasion, and promoted epithelial-mesenchymal transition (EMT). Cancer-associated fibroblasts secreted more TGF-β1 than TGF-β2 and TGF-β3, and activated the TGF-β/Smad signalling pathway in breast cancer cells. The EMT phenotype of breast cancer cells induced by CAF-CM was reversed by blocking TGF-β1 signalling. CONCLUSION: Cancer-associated fibroblasts promoted aggressive phenotypes of breast cancer cells through EMT induced by paracrine TGF-β1. This might be a common mechanism for acquiring metastatic potential in breast cancer cells with different biological characteristics.

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 · 10.1038/bjc.2013.768

Cites

29 of 29 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 29 references

Cited by

See all 676

Metadata

Authors
Yu, Y., Xiao, C.-H., Tan, L.-D., Wang, Q.-S., Li, X.-Q., & Feng, Y.-M.
Venue
British Journal of Cancer
Published
2013-12-12
Volume
110
Issue
3
Pages
724-732
ISSN
  • 0007-0920 (ISSN-L)
  • 1532-1827
OpenAlex
W2092893236
Cited by
676
References
29
FWCI
10.62
Type
journal article
Language
en
Open access
hybrid

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 induce epithelial–mesenchymal transition of breast cancer cells through paracrine TGF-β signalling. https://app.cochat.ai/papers/10.1038/bjc.2013.768
The paper
Yu, Y., Xiao, C.-H., Tan, L.-D., Wang, Q.-S., Li, X.-Q., & Feng, Y.-M. (2014). Cancer-associated fibroblasts induce epithelial–mesenchymal transition of breast cancer cells through paracrine TGF-β signalling. British Journal of Cancer. https://doi.org/10.1038/bjc.2013.768

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.