Evidence map›Paper›PMID 29928293›Full record

ArticleEvolutionary applications2018

Turning natural adaptations to oncogenic factors into an ally in the war against cancer.

Marion Vittecoq, Mathieu Giraudeau, Tuul Sepp, David J Marcogliese, Marcel Klaassen, François Renaud, Beata Ujvari, Frédéric Thomas

Abstract read
In one paragraph

Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Approaches and methods to study wildlife cancer.The Journal of animal ecology · 2024
    Review
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  5. Article
  6. Article
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  8. Article
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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.

Marion VittecoqInstitut de Recherche de la Tour du Valat Arles France.ORCID 0000-0002-8930-6051
Mathieu GiraudeauSchool of Life Sciences Arizona State University Tempe AZ USA.
Tuul SeppSchool of Life Sciences Arizona State University Tempe AZ USA.
David J MarcoglieseAquatic Contaminants Research Division Water Science and Technology Directorate Environment and Climate Change Canada St. Lawrence Centre Montreal QC Canada.
Marcel KlaassenSchool of Life and Environmental Sciences Centre for Integrative Ecology Deakin University Deakin Vic. Australia.
François RenaudCREEC/MIVEGEC IRD CNRS University of Montpellier Montpellier France.
Beata UjvariSchool of Life and Environmental Sciences Centre for Integrative Ecology Deakin University Deakin Vic. Australia.ORCID 0000-0003-2391-2988
Frédéric ThomasCREEC/MIVEGEC IRD CNRS University of Montpellier Montpellier France.ORCID 0000-0003-2238-1978

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both field and experimental evolution studies have demonstrated that organisms naturally or artificially exposed to environmental oncogenic factors can, sometimes rapidly, evolve specific adaptations to cope with pollutants and their adverse effects on fitness. Although numerous pollutants are mutagenic and carcinogenic, little attention has been given to exploring the extent to which adaptations displayed by organisms living in oncogenic environments could inspire novel cancer treatments, through mimicking the processes allowing these organisms to prevent or limit malignant progression. Building on a substantial knowledge base from the literature, we here present and discuss this progressive and promising research direction, advocating closer collaboration between the fields of medicine, ecology, and evolution in the war against cancer.

Indexed as

cancer resistanceecotoxicologyexperimental evolutionpollutionwildlife

Identifiers

PMID29928293
PMCPMC5999213

What OpenQuestion holds

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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.