The DOI matches its Crossref record; 259 of the 259 references it cites were found in a registry or an index.
Controversies around epithelial–mesenchymal plasticity in cancer metastasis
Open accessAbstract
Experimental evidence accumulated over decades has implicated epithelial–mesenchymal plasticity (EMP), which collectively encompasses epithelial–mesenchymal transition and the reverse process of mesenchymal–epithelial transition, in tumour metastasis, cancer stem cell generation and maintenance, and therapeutic resistance. However, the dynamic nature of EMP processes, the apparent need to reverse mesenchymal changes for the development of macrometastases and the likelihood that only minor cancer cell subpopulations exhibit EMP at any one time have made such evidence difficult to accrue in the clinical setting. In this Perspectives article, we outline the existing preclinical and clinical evidence for EMP and reflect on recent controversies, including the failure of initial lineage-tracing experiments to confirm a major role for EMP in dissemination, and discuss accumulating data suggesting that epithelial features and/or a hybrid epithelial–mesenchymal phenotype are important in metastasis. We also highlight strategies to address the complexities of therapeutically targeting the EMP process that give consideration to its spatially and temporally divergent roles in metastasis, with the view that this will yield a potent and broad class of therapeutic agents. In this Perspectives article, the authors outline the preclinical and clinical evidence for epithelial–mesenchymal plasticity (EMP) in cancer progression and metastasis, focusing on recent challenges and controversies, and highlight strategies to therapeutically target the EMP process.
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
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
The basics of epithelial-mesenchymal transition
Kalluri, R., & Weinberg, R. A. (2009) · Journal of Clinical Investigation · doi:10.1172/jci39104 · Cited by 10,196
Epithelial-Mesenchymal Transitions in Development and Disease
Thiery, J. P., Acloque, H., Huang, R. Y. J., & Nieto, M. A. (2009) · Cell · doi:10.1016/j.cell.2009.11.007 · Cited by 9,931
The Epithelial-Mesenchymal Transition Generates Cells with Properties of Stem Cells
Mani, S. A., Guo, W., Liao, M.-J., Eaton, E. N., Ayyanan, A., Zhou, A. Y., Brooks, M., Reinhard, F., Zhang, C. C., Shipitsin, M., et al. (2008) · Cell · doi:10.1016/j.cell.2008.03.027 · Cited by 8,672
Glioma stem cells promote radioresistance by preferential activation of the DNA damage response
Bao, S., Wu, Q., McLendon, R. E., Hao, Y., Shi, Q., Hjelmeland, A. B., Dewhirst, M. W., Bigner, D. D., & Rich, J. N. (2006) · Nature · doi:10.1038/nature05236 · Cited by 6,379
Nieto, M. A., Huang, R. Y.-J., Jackson, R. A., & Thiery, J. P. (2016) · Cell · doi:10.1016/j.cell.2016.06.028 · Cited by 4,492
Complex networks orchestrate epithelial–mesenchymal transitions
Thiery, J. P., & Sleeman, J. P. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1835 · Cited by 3,958
New insights into the mechanisms of epithelial–mesenchymal transition and implications for cancer
Dongre, A., & Weinberg, R. A. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0080-4 · Cited by 3,876
Puram, S. V., Tirosh, I., Parikh, A. S., Patel, A. P., Yizhak, K., Gillespie, S., Rodman, C., Luo, C. L., Mroz, E. A., Emerick, K. S., et al. (2017) · Cell · doi:10.1016/j.cell.2017.10.044 · Cited by 2,557
EMT, CSCs, and drug resistance: the mechanistic link and clinical implications
Shibue, T., & Weinberg, R. A. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.44 · Cited by 2,539
Cited by
Breast Cancer Metastasis: Mechanisms and Therapeutic Implications
Park, M., Kim, D., Ko, S., Kim, A., Mo, K., & Yoon, H. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23126806 · Cited by 406
Emerging role of tumor cell plasticity in modifying therapeutic response
Qin, S., Jiang, J., Lu, Y., Nice, E. C., Huang, C., Zhang, J., & He, W. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00313-5 · Cited by 268
Dorsch, M., Kowalczyk, M., Planque, M., Heilmann, G., Urban, S., Dujardin, P., Forster, J., Ueffing, K., Nothdurft, S., Oeck, S., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110056 · Cited by 55
Association of circulating tumor cells and IMP3 expression with metastasis of osteosarcoma
Dai, S., Shao, X., Wei, Q., Du, S., Hou, C., Li, H., & Jin, D. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.819357 · Cited by 20
The exostosin glycosyltransferase 1/STAT3 axis is a driver of breast cancer aggressiveness
Solaimuthu, B., Khatib, A., Tanna, M., Karmi, A., Hayashi, A., Abu Rmaileh, A., Lichtenstein, M., Takoe, S., Jolly, M. K., & Shaul, Y. D. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2316733121 · Cited by 8
Metadata
- Authors
- Williams, E. D., Gao, D., Redfern, A., & Thompson, E. W.
- Venue
- Nature Reviews Cancer
- Published
- 2019-10-30
- Volume
- 19
- Issue
- 12
- Pages
- 716-732
- ISSN
- 1474-175X (ISSN-L)
- 1474-1768
- OpenAlex
- W2982361599
- Cited by
- 451
- References
- 259
- FWCI
- 7.50
- 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: Controversies around epithelial–mesenchymal plasticity in cancer metastasis. https://app.cochat.ai/papers/10.1038/s41568-019-0213-x
- The paper
- Williams, E. D., Gao, D., Redfern, A., & Thompson, E. W. (2019). Controversies around epithelial–mesenchymal plasticity in cancer metastasis. Nature Reviews Cancer. https://doi.org/10.1038/s41568-019-0213-x
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.
