The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Epithelial–mesenchymal plasticity in carcinoma metastasis
Open accessAbstract
Tumor metastasis is a multistep process by which tumor cells disseminate from their primary site and form secondary tumors at a distant site. Metastasis occurs through a series of steps: local invasion, intravasation, transport, extravasation, and colonization. A developmental program termed epithelial–mesenchymal transition (EMT) has been shown to play a critical role in promoting metastasis in epithelium-derived carcinoma. Recent experimental and clinical studies have improved our knowledge of this dynamic program and implicated EMT and its reverse program, mesenchymal–epithelial transition (MET), in the metastatic process. Here, we review the functional requirement of EMT and/or MET during the individual steps of tumor metastasis and discuss the potential of targeting this program when treating metastatic diseases.
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Cites
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BackgroundRegulatory networks defining EMT during cancer initiation and progression
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Cited by
Guidelines and definitions for research on epithelial-mesenchymal transition
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Self-citationThe Immunomodulatory and Anti-Inflammatory Role of Polyphenols
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Signaling mechanisms of the epithelial-mesenchymal transition
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Cancer stem cells: Role in tumor growth, recurrence, metastasis, and treatment resistance
Chang, J. C. (2016) · Medicine · doi:10.1097/md.0000000000004766 · Cited by 435
Metadata
- Authors
- Tsai, J. H., & Yang, J.
- Venue
- Genes & Development
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2013-10-15
- Volume
- 27
- Issue
- 20
- Pages
- 2192-2206
- ISSN
- 0890-9369 (ISSN-L)
- 1549-5477
- OpenAlex
- W2114906733
- Cited by
- 1,136
- References
- 12
- Type
- posted content
- Language
- en
- Open access
- diamond
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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.
