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Cell
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Cell
Article . 2016 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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DIGITAL.CSIC
Article . 2018 . Peer-reviewed
Data sources: DIGITAL.CSIC
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EMT: 2016

Authors: M. Angela Nieto; Ruby Yun-Ju Huang; Rebecca A. Jackson; Jean Paul Thiery;
Abstract

The significant parallels between cell plasticity during embryonic development and carcinoma progression have helped us understand the importance of the epithelial-mesenchymal transition (EMT) in human disease. Our expanding knowledge of EMT has led to a clarification of the EMT program as a set of multiple and dynamic transitional states between the epithelial and mesenchymal phenotypes, as opposed to a process involving a single binary decision. EMT and its intermediate states have recently been identified as crucial drivers of organ fibrosis and tumor progression, although there is some need for caution when interpreting its contribution to metastatic colonization. Here, we discuss the current state-of-the-art and latest findings regarding the concept of cellular plasticity and heterogeneity in EMT. We raise some of the questions pending and identify the challenges faced in this fast-moving field.

Country
Spain
Keywords

Epithelial-Mesenchymal Transition, Transcription, Genetic, Embryonic Development, Transcriptional control, Therapeutics, Development, Epithelial-mesenchymal transition, Fibrosis, Metastasis, Epigenesis, Genetic, Neoplasms, Animals, Humans, Epigenetics, Stemness, Cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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49
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Cancer Research