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Cited by 518

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Involvement of partial EMT in cancer progression

Saitoh, Masao·2018·The Journal of Biochemistry

Abstract

The epithelial-mesenchymal transition (EMT) provides an outstanding example of cellular plasticity during embryonic development and cancer progression. During EMT in embryonic development, epithelial cells lose all vestiges of their epithelial origin and acquire a fully mesenchymal phenotype, known as complete EMT, which is typically characterized by a so-called cadherin switch. Conversely, during EMT in cancer progression, cancer cells that originate from epithelial cells exhibit both mesenchymal and epithelial characteristics, that is the hybrid E/M phenotype in a process known as partial EMT. Partial EMT in cancer cells is thought to enhance their invasive properties, generate circulating tumour cells and cancer stem cells, and promote resistance to anti-cancer drugs. These phenotypic changes are regulated by extracellular matrix components, exosomes and soluble factors, which regulate several transcription factors known as EMT transcription factors. In this review, I summarize our current understanding of the EMT program during cancer progression.

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Metadata

Authors
Saitoh, M.
Venue
The Journal of Biochemistry
Published
2018-05-03
Volume
164
Issue
4
Pages
257-264
ISSN
  • 0021-924X (ISSN-L)
  • 1756-2651
OpenAlex
W2799898775
Cited by
518
References
55
FWCI
15.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Involvement of partial EMT in cancer progression. https://app.cochat.ai/papers/10.1093/jb/mvy047
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Saitoh, M. (2018). Involvement of partial EMT in cancer progression. The Journal of Biochemistry. https://doi.org/10.1093/jb/mvy047

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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.