Evidence map›Paper›PMID 28250806›Full record

ArticleEvolutionary applications2017

Cancer: A disease at the crossroads of trade-offs.

Camille Jacqueline, Peter A Biro, Christa Beckmann, Anders Pape Moller, François Renaud, Gabriele Sorci, Aurélie Tasiemski, Beata Ujvari, Frédéric Thomas

Abstract read
In one paragraph

Article in Evolutionary applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Approaches and methods to study wildlife cancer.The Journal of animal ecology · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Evolution ofGut microbes · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Systems level profiling of chemotherapy-induced stress resolution in cancer cells reveals druggable trade-offs.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

9 authors.

Camille JacquelineCREEC Montpellier Cedex 5 France; MIVEGECbUMR IRD/CNRS/UM 5290 Montpellier Cedex 5 France.
Peter A BiroCentre for Integrative Ecology School of Life and Environmental Sciences Deakin University Waurn Ponds VIC Australia.
Christa BeckmannCentre for Integrative Ecology School of Life and Environmental Sciences Deakin University Waurn Ponds VIC Australia.
Anders Pape MollerEcologie Systématique Evolution Université Paris-Sud CNRS AgroParisTech Université Paris-Saclay, F-91405 Orsay Cedex France.
François RenaudCREEC Montpellier Cedex 5 France; MIVEGECbUMR IRD/CNRS/UM 5290 Montpellier Cedex 5 France.
Gabriele SorciBiogéoSciences CNRS UMR 6282 Université de Bourgogne Dijon France.
Aurélie TasiemskiUnité d'Evolution Ecologie et Paléontologie (EEP) Université de Lille 1 CNRS UMR 8198 groupe d'Ecoimmunologie des Annélides Villeneuve-d'Ascq France.
Beata UjvariCentre for Integrative Ecology School of Life and Environmental Sciences Deakin University Waurn Ponds VIC Australia.
Frédéric ThomasCREEC Montpellier Cedex 5 France; MIVEGECbUMR IRD/CNRS/UM 5290 Montpellier Cedex 5 France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central to evolutionary theory is the idea that living organisms face phenotypic and/or genetic trade-offs when allocating resources to competing life-history demands, such as growth, survival, and reproduction. These trade-offs are increasingly considered to be crucial to further our understanding of cancer. First, evidences suggest that neoplastic cells, as any living entities subject to natural selection, are governed by trade-offs such as between survival and proliferation. Second, selection might also have shaped trade-offs at the organismal level, especially regarding protective mechanisms against cancer. Cancer can also emerge as a consequence of additional trade-offs in organisms (e.g., eco-immunological trade-offs). Here, we review the wide range of trade-offs that occur at different scales and their relevance for understanding cancer dynamics. We also discuss how acknowledging these phenomena, in light of human evolutionary history, may suggest new guidelines for preventive and therapeutic strategies.

Indexed as

cancerlife‐history traitsnatural selectiontrade‐off

Identifiers

PMID28250806
PMCPMC5322410

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.