Evidence map›Paper›PMID 39364294›Full record

ArticleEvolution, medicine, and public health2024

A new perspective on tumor progression: Evolution via selection for function.

Frédéric Thomas, James DeGregori, Andriy Marusyk, Antoine M Dujon, Beata Ujvari, Jean-Pascal Capp, Robert Gatenby, Aurora M Nedelcu

Abstract read
In one paragraph

Article in Evolution, medicine, and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Survival of quick problem solver!Evolution, medicine, and public health · 2024
    Article
  10. 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

8 authors.

Frédéric ThomasCREEC/CANECEV, MIVEGEC (CREES) Department, University of Montpellier, CNRS, IRD, Montpellier, France.ORCID https://orcid.org/0000-0003-2238-1978
James DeGregoriDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Andriy MarusykDepartment of Cancer Physiology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Antoine M DujonCREEC/CANECEV, MIVEGEC (CREES) Department, University of Montpellier, CNRS, IRD, Montpellier, France.
Beata UjvariSchool of Life and Environmental Sciences, Deakin University, Geelong, Centre for Integrative Ecology, Waurn Ponds, VIC 3216, Australia.ORCID https://orcid.org/0000-0003-2391-2988
Jean-Pascal CappToulouse Biotechnology Institute, University of Toulouse, INSA, CNRS, INRAE, Toulouse, France.
Robert GatenbyDepartment of Cancer Physiology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Aurora M NedelcuDepartment of Biology, University of New Brunswick, Fredericton, New Brunswick, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumorigenesis is commonly attributed to Darwinian processes involving natural selection among cells and groups of cells. However, progressing tumors are those that also achieve an appropriate group phenotypic composition (GPC). Yet, the selective processes acting on tumor GPCs are distinct from that associated with classical Darwinian evolution (i.e. natural selection based on differential reproductive success) as tumors are not genuine evolutionary individuals and do not exhibit heritable variation in fitness. This complex evolutionary scenario is analogous to the recently proposed concept of 'selection for function' invoked for the evolution of both living and non-living systems. Therefore, we argue that it is inaccurate to assert that Darwinian processes alone account for all the aspects characterizing tumorigenesis and cancer progression; rather, by producing the genetic and phenotypic diversity required for creating novel GPCs, these processes fuel the evolutionary success of tumors that is dependent on selection for function at the tumor level.

Indexed as

evolutionfunctiongroup phenotypic compositionperspectiveprogressionselectiontumors

Identifiers

PMID39364294
PMCPMC11448472

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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.