Evidence map›Paper›PMID 31771479›Full record

ArticleProceedings. Biological sciences2019

Metastasis and the evolution of dispersal.

Tazzio Tissot, François Massol, Beata Ujvari, Catherine Alix-Panabieres, Nicolas Loeuille, Frédéric Thomas

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Modeling cancer's ecological and evolutionary dynamics.Medical oncology (Northwood, London, England) · 2023
    Article
  6. Article
  7. Review
  8. Tumors Are Evolutionary Island-Like Ecosystems.Genome biology and evolution · 2021
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
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

6 authors.

Tazzio TissotInstitute of Ecology and Environmental Sciences, Sorbonne University/CNRS/INRA/IRD/UPEC/Paris-Diderot University, Paris, France.
François MassolUniv. Lille, CNRS, UMR 8198-Evo-Eco-Paleo, F-59000 Lille, France.
Beata UjvariCentre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Waurn Ponds, Victoria, Australia.
Catherine Alix-PanabieresLaboratory of Rare Human Circulating Cells (LCCRH), University Medical Centre of Montpellier, Montpellier, France.
Nicolas LoeuilleInstitute of Ecology and Environmental Sciences, Sorbonne University/CNRS/INRA/IRD/UPEC/Paris-Diderot University, Paris, France.
Frédéric ThomasCREEC (CREES), Unité Mixte de Recherches, IRD 224-CNRS 5290-Université de Montpellier, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant progress in oncology, metastasis remains the leading cause of mortality of cancer patients. Understanding the foundations of this phenomenon could help contain or even prevent it. As suggested by many ecologists and cancer biologists, metastasis could be considered through the lens of biological dispersal: the movement of cancer cells from their birth site (the primary tumour) to other habitats where they resume proliferation (metastatic sites). However, whether this model can consistently be applied to the emergence and dynamics of metastasis remains unclear. Here, we provide a broad review of various aspects of the evolution of dispersal in ecosystems. We investigate whether similar ecological and evolutionary principles can be applied to metastasis, and how these processes may shape the spatio-temporal dynamics of disseminating cancer cells. We further discuss complementary hypotheses and propose experimental approaches to test the relevance of the evolutionary ecology of dispersal in studying metastasis.

Indexed as

Biological EvolutionNeoplasmsAnimal MigrationAnimalsBiophysical PhenomenaEcologyEcosystemHumansPopulation Dynamicscancerdispersalevolutionmetastasis

Identifiers

PMID31771479
PMCPMC6939260

What OpenQuestion holds

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Read underepoch 390

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.