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- W3204343455 abstract "Despite identical genetic constitution, a cancer cell population can exhibit phenotypic variations termed as non-genetic/non-mutational heterogeneity. Such heterogeneity – a ubiquitous nature of biological systems – has been implicated in metastasis, therapy resistance and tumour relapse. Here, we review the evidence for existence, sources and implications of non-genetic heterogeneity in multiple cancer types. Stochasticity/ noise in transcription, protein conformation and/or external microenvironment can underlie such heterogeneity. Moreover, the existence of multiple possible cell states (phenotypes) as a consequence of the emergent dynamics of gene regulatory networks may enable reversible cell-state transitions (phenotypic plasticity) that can facilitate adaptive drug resistance and higher metastatic fitness. Finally, we highlight how computational and mathematical models can drive a better understanding of non-genetic heterogeneity and how a systems-level approach integrating mathematical modelling and in vitro/in vivo experiments can map the diverse phenotypic repertoire, and identify therapeutic vulnerabilities of an otherwise clonal cell population." @default.
- W3204343455 created "2021-10-11" @default.
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- W3204343455 date "2021-09-24" @default.
- W3204343455 modified "2023-09-25" @default.
- W3204343455 title "Cancer: More Than a Geneticist’s Pandora’s Box" @default.
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- W3204343455 doi "https://doi.org/10.20944/preprints202109.0432.v1" @default.
- W3204343455 hasPublicationYear "2021" @default.
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