Deciphering Epithelial–Mesenchymal Transition Regulatory Networks in Cancer through Computational Approaches

Epithelial-mesenchymal transition (EMT), the process by which epithelial cells can convert into motile mesenchymal cells, plays an important role in development and wound healing but is also involved in cancer progression. It is increasingly recognized that EMT is a dynamic process involving multipl...

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Vydáno v:Frontiers in oncology Ročník 7; s. 162
Hlavní autoři: Burger, Gerhard A., Danen, Erik H. J., Beltman, Joost B.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland Frontiers Media S.A 03.08.2017
Témata:
cancer progression
cell metabolism
cell migration
computational modeling
epithelial–mesenchymal transition
Oncology
stemness
cell migration
epithelial–mesenchymal transition
cell metabolism
cancer progression
computational modeling
stemness
ISSN:2234-943X, 2234-943X
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Shrnutí:Epithelial-mesenchymal transition (EMT), the process by which epithelial cells can convert into motile mesenchymal cells, plays an important role in development and wound healing but is also involved in cancer progression. It is increasingly recognized that EMT is a dynamic process involving multiple intermediate or "hybrid" phenotypes rather than an "all-or-none" process. However, the role of EMT in various cancer hallmarks, including metastasis, is debated. Given the complexity of EMT regulation, computational modeling has proven to be an invaluable tool for cancer research, i.e., to resolve apparent conflicts in experimental data and to guide experiments by generating testable hypotheses. In this review, we provide an overview of computational modeling efforts that have been applied to regulation of EMT in the context of cancer progression and its associated tumor characteristics. Moreover, we identify possibilities to bridge different modeling approaches and point out outstanding questions in which computational modeling can contribute to advance our understanding of pathological EMT.
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Reviewed by: Mohammad Sarwar Jamal, King Abdulaziz University, Saudi Arabia; Nikolaus Christoph Netzer, University of Innsbruck, Austria
Edited by: Ala-Eddin Al Moustafa, Qatar University, Qatar
Specialty section: This article was submitted to Molecular and Cellular Oncology, a section of the journal Frontiers in Oncology
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2017.00162