Evidence map›Paper›PMID 32821280›Full record

ArticleEvolutionary applications2020

Predation shapes the impact of cancer on population dynamics and the evolution of cancer resistance.

Cédric Perret, Cindy Gidoin, Beata Ujvari, Frédéric Thomas, Benjamin Roche

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. The theory of tumor immuno-ecodynamics.Frontiers in immunology · 2026
    Article
  2. Consequences of Cancer on ZebrafishEcology and evolution · 2025
    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

5 authors at 2 institutions in 2 countries.

Cédric PerretCREEC/CREES UMR IRD 224-CNRS 5290-Université de Montpellier Montpellier France.ORCID https://orcid.org/0000-0002-9180-0542
Cindy GidoinCREEC/CREES UMR IRD 224-CNRS 5290-Université de Montpellier Montpellier France.
Beata UjvariCentre for Integrative Ecology School of Life and Environmental Sciences Deakin University Victoria Australia.ORCID https://orcid.org/0000-0003-2391-2988
Frédéric ThomasCREEC/CREES UMR IRD 224-CNRS 5290-Université de Montpellier Montpellier France.ORCID https://orcid.org/0000-0003-2238-1978
Benjamin RocheCREEC/CREES UMR IRD 224-CNRS 5290-Université de Montpellier Montpellier France.
Centre National de la Recherche Scientifique · FRUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a widespread disease that affects most of the metazoans. However, cancer development is a slow process and, long before causing the death of the individual, may weaken organisms' capacities and impair their interactions with other species. Yet, the impact of cancer development on biotic interactions, and over the dynamics of the whole ecosystem, is still largely unexplored. As well, the feedback of altered biotic interactions on the evolution of resistance against cancer in the context of community ecology has not been investigated. From this new perspective, we theoretically investigate how cancer can challenge expected interaction outcomes in a predator-prey model system, and how, in return, these altered interaction outcomes could affect evolution of resistance mechanism against cancer. First, we demonstrate a clear difference between prey and predator vulnerability to cancer, with cancer having a limited impact on prey populations. Second, we show that biotic interactions can surprisingly lead to a null or positive effect of cancer on population densities. Finally, our evolutionary analysis sheds light on how biotic interactions can lead to diverse resistance levels in predator populations. While its role in ecosystems is mostly unknown, we demonstrate that cancer in wildlife is an important ecological and evolutionary force to consider.

Indexed as

cancercancer resistanceevolutionpopulation dynamicsprey–predator

Identifiers

PMID32821280
PMCPMC7428821
OpenAlexW3010901953

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.