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Cited by 320

The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.

Epithelial-mesenchymal Transition and Cell Invasion

Open access
Son, Hwa-Jin, Moon, Aree·2010·Toxicological Research

Abstract

Epithelial-mesenchymal transition (EMT) is a complex process in which epithelial cells acquire the characteristics of invasive mesenchymal cells. EMT has been implicated in cancer progression and metastasis as well as the formation of many tissues and organs during development. Epithelial cells undergoing EMT lose cell-cell adhesion structures and polarity, and rearrange their cytoskeletons. Several oncogenic pathways such as transforming growth factor (TGF)-β, Wnt, and Notch signaling pathways, have been shown to induce EMT. These pathways have activated transcription factors including Snail, Slug, and the ZEB family which work as transcriptional repressors of E-cadherin, thereby making epithelial cells motile and resistant to apoptosis. Mounting evidence shows that EMT is associated with cell invasion and tumor progression. In this review, we summarize the characteristic features of EMT, pathways leading to EMT, and the role of EMT in cell invasion. Three topics are addressed in this review: (1) Definition of EMT, (2) Signaling pathways leading to EMT, (3) Role of EMT in cell invasion. Understanding the role of EMT in cell invasion will provide valuable information for establishing strategies to develop anti-metastatic therapeutics which modulate malignant cellular processes mediated by EMT.

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Metadata

Authors
Son, H.-J., & Moon, A.
Venue
Toxicological Research
Published
2010-12-01
Volume
26
Issue
4
Pages
245-252
ISSN
1976-8257 (ISSN-L)
OpenAlex
W2063532871
Cited by
320
References
101
FWCI
0.00
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Epithelial-mesenchymal Transition and Cell Invasion. https://app.cochat.ai/papers/10.5487/tr.2010.26.4.245
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Son, H.-J., & Moon, A. (2010). Epithelial-mesenchymal Transition and Cell Invasion. Toxicological Research. https://doi.org/10.5487/tr.2010.26.4.245

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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.