2021
DOI: 10.1038/s41586-021-04206-7
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Non-genetic determinants of malignant clonal fitness at single-cell resolution

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Cited by 84 publications
(103 citation statements)
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“…2, G and H ). Some highly expressed interclonally differentially expressed genes were previously identified as heritably maintained in short-term cultures of transformed cell lines and in cancer clones in vivo ( 8, 21 ).…”
Section: Mainmentioning
confidence: 99%
“…2, G and H ). Some highly expressed interclonally differentially expressed genes were previously identified as heritably maintained in short-term cultures of transformed cell lines and in cancer clones in vivo ( 8, 21 ).…”
Section: Mainmentioning
confidence: 99%
“…Diversified and labile transcriptional programs within a heterogenous tumor cell population can rapidly confer clonal fitness in the face of therapeutic pressure (Bolis et al, 2021; Davies et al, 2021; Fennell et al, 2021; Taavitsainen et al, 2021). In our models clonally-determined lineage distributions were partially explained by pre-existing genomic alterations.…”
Section: Discussionmentioning
confidence: 99%
“…These lineage-plastic subtypes of mCRPC are not static or homogeneous - multiple subpopulations can exist in a patient tumor, yet the dynamic relationship of the subpopulation structure is not well understood (Cejas et al, 2021; Labrecque et al, 2019). Epigenetic mechanisms underlying lineage-plasticity in cancer can instill resistance without genetic clonal selection (Fennell et al, 2021) and minor subpopulations that are not easily detected in bulk may command an outsized role in growth and resistance (Sharma et al, 2010). Distinct hierarchical phenotypes existing at variable frequencies within a tumor often respond differently to the selective pressure of a given treatment (Sharma et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Since cancer evolution constitutes a formidable obstacle to successful treatment, further studies to unravel the evolutionary processes of tumor cells are required and already arising [49]. Integrating data from transcriptomes, genomes, and posttranslational modifications - best on single-cell level and within the same individual – should provide a better overall picture of tumor evolution.…”
Section: Discussionmentioning
confidence: 99%