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A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells
Compelling evidence shows that cancer persister cells represent a major limit to the long-term efficacy of targeted therapies. However, the phenotype and population dynamics of cancer persister cells remain unclear. We developed a quantitative framework to study persisters by combining experimental...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279152/ https://www.ncbi.nlm.nih.gov/pubmed/35817983 http://dx.doi.org/10.1038/s41588-022-01105-z |
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author | Russo, Mariangela Pompei, Simone Sogari, Alberto Corigliano, Mattia Crisafulli, Giovanni Puliafito, Alberto Lamba, Simona Erriquez, Jessica Bertotti, Andrea Gherardi, Marco Di Nicolantonio, Federica Bardelli, Alberto Cosentino Lagomarsino, Marco |
author_facet | Russo, Mariangela Pompei, Simone Sogari, Alberto Corigliano, Mattia Crisafulli, Giovanni Puliafito, Alberto Lamba, Simona Erriquez, Jessica Bertotti, Andrea Gherardi, Marco Di Nicolantonio, Federica Bardelli, Alberto Cosentino Lagomarsino, Marco |
author_sort | Russo, Mariangela |
collection | PubMed |
description | Compelling evidence shows that cancer persister cells represent a major limit to the long-term efficacy of targeted therapies. However, the phenotype and population dynamics of cancer persister cells remain unclear. We developed a quantitative framework to study persisters by combining experimental characterization and mathematical modeling. We found that, in colorectal cancer, a fraction of persisters slowly replicates. Clinically approved targeted therapies induce a switch to drug-tolerant persisters and a temporary 7- to 50-fold increase of their mutation rate, thus increasing the number of persister-derived resistant cells. These findings reveal that treatment may influence persistence and mutability in cancer cells and pinpoint inhibition of error-prone DNA polymerases as a strategy to restrict tumor recurrence. |
format | Online Article Text |
id | pubmed-9279152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-92791522022-07-15 A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells Russo, Mariangela Pompei, Simone Sogari, Alberto Corigliano, Mattia Crisafulli, Giovanni Puliafito, Alberto Lamba, Simona Erriquez, Jessica Bertotti, Andrea Gherardi, Marco Di Nicolantonio, Federica Bardelli, Alberto Cosentino Lagomarsino, Marco Nat Genet Article Compelling evidence shows that cancer persister cells represent a major limit to the long-term efficacy of targeted therapies. However, the phenotype and population dynamics of cancer persister cells remain unclear. We developed a quantitative framework to study persisters by combining experimental characterization and mathematical modeling. We found that, in colorectal cancer, a fraction of persisters slowly replicates. Clinically approved targeted therapies induce a switch to drug-tolerant persisters and a temporary 7- to 50-fold increase of their mutation rate, thus increasing the number of persister-derived resistant cells. These findings reveal that treatment may influence persistence and mutability in cancer cells and pinpoint inhibition of error-prone DNA polymerases as a strategy to restrict tumor recurrence. Nature Publishing Group US 2022-07-11 2022 /pmc/articles/PMC9279152/ /pubmed/35817983 http://dx.doi.org/10.1038/s41588-022-01105-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Russo, Mariangela Pompei, Simone Sogari, Alberto Corigliano, Mattia Crisafulli, Giovanni Puliafito, Alberto Lamba, Simona Erriquez, Jessica Bertotti, Andrea Gherardi, Marco Di Nicolantonio, Federica Bardelli, Alberto Cosentino Lagomarsino, Marco A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells |
title | A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells |
title_full | A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells |
title_fullStr | A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells |
title_full_unstemmed | A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells |
title_short | A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells |
title_sort | modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279152/ https://www.ncbi.nlm.nih.gov/pubmed/35817983 http://dx.doi.org/10.1038/s41588-022-01105-z |
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