The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Mesenchyme Forkhead 1 ( FOXC2 ) plays a key role in metastasis and is associated with aggressive basal-like breast cancers
Open accessAbstract
The metastatic spread of epithelial cancer cells from the primary tumor to distant organs mimics the cell migrations that occur during embryogenesis. Using gene expression profiling, we have found that the FOXC2 transcription factor, which is involved in specifying mesenchymal cell fate during embryogenesis, is associated with the metastatic capabilities of cancer cells. FOXC2 expression is required for the ability of murine mammary carcinoma cells to metastasize to the lung, and overexpression of FOXC2 enhances the metastatic ability of mouse mammary carcinoma cells. We show that FOXC2 expression is induced in cells undergoing epithelial-mesenchymal transitions (EMTs) triggered by a number of signals, including TGF-β1 and several EMT-inducing transcription factors, such as Snail, Twist, and Goosecoid. FOXC2 specifically promotes mesenchymal differentiation during an EMT and may serve as a key mediator to orchestrate the mesenchymal component of the EMT program. Expression of FOXC2 is significantly correlated with the highly aggressive basal-like subtype of human breast cancers. These observations indicate that FOXC2 plays a central role in promoting invasion and metastasis and that it may prove to be a highly specific molecular marker for human basal-like breast cancers.
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.
Integrity signals
Registry
Cites
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.
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
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
New functions for the matrix metalloproteinases in cancer progression
Egeblad, M., & Werb, Z. (2002) · Nature Reviews Cancer · doi:10.1038/nrc745 · Cited by 6,108
The pathogenesis of cancer metastasis: the ‘seed and soil’ hypothesis revisited
Fidler, I. J. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1098 · Cited by 4,686
Human breast cancer cells generated by oncogenic transformation of primary mammary epithelial cells
Elenbaas, B., Spirio, L., Koerner, F., Fleming, M. D., Zimonjic, D. B., Donaher, J. L., Popescu, N. C., Hahn, W. C., & Weinberg, R. A. (2001) · Genes & Development · doi:10.1101/gad.828901 · Cited by 878
Self-citation
Cited by
The basics of epithelial-mesenchymal transition
Kalluri, R., & Weinberg, R. A. (2009) · Journal of Clinical Investigation · doi:10.1172/jci39104 · Cited by 10,196
Self-citationMolecular mechanisms of epithelial–mesenchymal transition
Lamouille, S., Xu, J., & Derynck, R. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3758 · Cited by 8,091
Cancer stem cells in solid tumours: accumulating evidence and unresolved questions
Visvader, J. E., & Lindeman, G. J. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2499 · Cited by 3,429
Transitions between epithelial and mesenchymal states: acquisition of malignant and stem cell traits
Polyak, K., & Weinberg, R. A. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2620 · Cited by 3,302
Self-citationTumour invasion and metastasis initiated by microRNA-10b in breast cancer
Ma, L., Teruya-Feldstein, J., & Weinberg, R. A. (2007) · Nature · doi:10.1038/nature06174 · Cited by 2,605
Self-citation
Metadata
- Authors
- Mani, S. A., Yang, J., Brooks, M., Schwaninger, G., Zhou, A., Miura, N., Kutok, J. L., Hartwell, K., Richardson, A. L., & Weinberg, R. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-06-12
- Volume
- 104
- Issue
- 24
- Pages
- 10069-10074
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2076636899
- Cited by
- 575
- References
- 4
- FWCI
- 15.85
- Type
- journal article
- Language
- en
- Open access
- green
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: Mesenchyme Forkhead 1 ( FOXC2 ) plays a key role in metastasis and is associated with aggressive basal-like breast cancers. https://app.cochat.ai/papers/10.1073/pnas.0703900104
- The paper
- Mani, S. A., Yang, J., Brooks, M., Schwaninger, G., Zhou, A., Miura, N., Kutok, J. L., Hartwell, K., Richardson, A. L., & Weinberg, R. A. (2007). Mesenchyme Forkhead 1 ( FOXC2 ) plays a key role in metastasis and is associated with aggressive basal-like breast cancers. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0703900104
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.