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- W3042201165 abstract "Epithelial-mesenchymal transition (EMT) and its reverse process mesenchymal-epithelial transition (MET) are central to metastatic aggressiveness and therapy resistance in solid tumors. While molecular determinants of both processes have been extensively characterized, the heterogeneity in the response of tumor cells to EMT and MET inducers has come into focus recently, and has been implicated in the failure of anti-cancer therapies. Recent experimental studies have shown that some cells can undergo an irreversible EMT depending on the duration of exposure to EMT-inducing signals. While the irreversibility of MET, or equivalently, resistance to EMT, has not been studied in as much detail, evidence supporting such behavior is slowly emerging. Here, we identify two possible mechanisms that can underlie resistance of cells to undergo EMT: epigenetic feedback in ZEB1/GRHL2 feedback loop and stochastic partitioning of biomolecules during cell division. Identifying the ZEB1/GRHL2 axis as a key determinant of epithelial-mesenchymal plasticity across many cancer types, we use mechanistic mathematical models to show how GRHL2 can be involved in both the abovementioned processes, thus driving an irreversible MET. Our study highlights how an isogenic population may contain subpopulation with varying degrees of susceptibility or resistance to EMT, and proposes a next set of questions for detailed experimental studies characterizing the irreversibility of MET/resistance to EMT." @default.
- W3042201165 created "2020-07-16" @default.
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- W3042201165 creator A5083772852 @default.
- W3042201165 date "2020-07-07" @default.
- W3042201165 modified "2023-10-13" @default.
- W3042201165 title "Epigenetic feedback and stochastic partitioning during cell division can drive resistance to EMT" @default.
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- W3042201165 doi "https://doi.org/10.18632/oncotarget.27651" @default.
- W3042201165 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7343638" @default.
- W3042201165 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32676163" @default.
- W3042201165 hasPublicationYear "2020" @default.
- W3042201165 type Work @default.