Evidence map›Paper›PMID 35817983›Full record

ArticleNature genetics2022

A modified fluctuation-test framework characterizes the population dynamics and mutation rate of colorectal cancer persister cells.

Mariangela Russo, Simone Pompei, Alberto Sogari, Mattia Corigliano, Giovanni Crisafulli, Alberto Puliafito, Simona Lamba, Jessica Erriquez, Andrea Bertotti, Marco Gherardi and 3 more

Abstract read
In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Intermittent or Continuous Panitumumab Plus Fluorouracil, Leucovorin, and Irinotecan for First-Line Treatment ofJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Trial
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  6. Non-ergodicity in ecology and evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
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  9. Review
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  15. Modeling combination chemo-immunotherapy for heterogeneous tumors.Quantitative biology (Beijing, China) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. The adaptive state determines the impact of mutations on evolving populations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Mariangela Russo *Department of Oncology, University of Turin, Candiolo, Italy.ORCID http://orcid.org/0000-0003-4625-1449
Simone Pompei *IFOM Foundation, FIRC Institute of Molecular Oncology, Milan, Italy.ORCID http://orcid.org/0000-0002-6673-7991
Alberto Sogari *Department of Oncology, University of Turin, Candiolo, Italy.ORCID http://orcid.org/0000-0003-0612-6109
Mattia Corigliano *IFOM Foundation, FIRC Institute of Molecular Oncology, Milan, Italy.ORCID http://orcid.org/0000-0002-6645-6778
Giovanni CrisafulliDepartment of Oncology, University of Turin, Candiolo, Italy.ORCID http://orcid.org/0000-0002-5511-1555
Alberto PuliafitoDepartment of Oncology, University of Turin, Candiolo, Italy.
Simona LambaCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Jessica ErriquezCandiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Andrea BertottiDepartment of Oncology, University of Turin, Candiolo, Italy.
Marco GherardiIFOM Foundation, FIRC Institute of Molecular Oncology, Milan, Italy.ORCID http://orcid.org/0000-0002-7745-8269
Federica Di NicolantonioDepartment of Oncology, University of Turin, Candiolo, Italy.ORCID http://orcid.org/0000-0001-9618-2010
Alberto BardelliDepartment of Oncology, University of Turin, Candiolo, Italy. alberto.bardelli@unito.it.ORCID http://orcid.org/0000-0003-1647-5070
Marco Cosentino LagomarsinoIFOM Foundation, FIRC Institute of Molecular Oncology, Milan, Italy. marco.cosentino-lagomarsino@ifom.eu.ORCID http://orcid.org/0000-0003-0235-0445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Colorectal NeoplasmsMutation RateAnti-Bacterial AgentsHumansPopulation DynamicsAnti-Bacterial Agents

Identifiers

PMID35817983
PMCPMC9279152

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.