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Cancer Cell
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://dx.doi.org/10.25418/cr...
Other literature type . 2023
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.25418/cr...
Other literature type . 2023
License: CC BY
Data sources: Datacite
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Selective advantage of epigenetically disrupted cancer cells via phenotypic inertia

Authors: Ioannis Loukas; Fabrizio Simeoni; Marta Milan; Paolo Inglese; Harshil Patel; Robert Goldstone; Philip East; +8 Authors

Selective advantage of epigenetically disrupted cancer cells via phenotypic inertia

Abstract

The evolution of established cancers is driven by selection of cells with enhanced fitness. Subclonal mutations in numerous epigenetic regulator genes are common across cancer types, yet their functional impact has been unclear. Here, we show that disruption of the epigenetic regulatory network increases the tolerance of cancer cells to unfavorable environments experienced within growing tumors by promoting the emergence of stress-resistant subpopulations. Disruption of epigenetic control does not promote selection of genetically defined subclones or favor a phenotypic switch in response to environmental changes. Instead, it prevents cells from mounting an efficient stress response via modulation of global transcriptional activity. This "transcriptional numbness" lowers the probability of cell death at early stages, increasing the chance of long-term adaptation at the population level. Our findings provide a mechanistic explanation for the widespread selection of subclonal epigenetic-related mutations in cancer and uncover phenotypic inertia as a cellular trait that drives subclone expansion.

Country
United Kingdom
Related Organizations
Keywords

Model organisms, Chemical Biology & High Throughput, 570, Human Biology & Physiology, Stem Cells, Genome Integrity & Repair, 610, Gene Expression, Cell Biology, Tumour Biology, Imaging, Phenotype, Neoplasms, Mutation, Humans, Cell Cycle & Chromosomes, Genetics & Genomics, Computational & Systems Biology

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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).
    39
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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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!
39
Top 10%
Top 10%
Top 1%
Green
hybrid