Evidence map›Paper›PMID 29281983›Full record

ArticleBMC evolutionary biology2017

Resource competition promotes tumour expansion in experimentally evolved cancer.

Tiffany B Taylor, Anastasia V Wass, Louise J Johnson, Phil Dash

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2017. 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
1.3field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Modeling tumors as species-rich ecological communities.bioRxiv : the preprint server for biology · 2024
    Article
  3. Onco-Breastomics: An Eco-Evo-Devo Holistic Approach.International journal of molecular sciences · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. DNA Damage Stress: Cui Prodest?International journal of molecular sciences · 2019
    Review
  8. Article
  9. Article
  10. 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

4 authors at 1 institution in 1 country.

Tiffany B TaylorSchool of Biological Sciences, University of Reading, Whiteknights, Reading, RG6 6AH, UK. t.b.taylor@bath.ac.uk.
Anastasia V WassSchool of Biological Sciences, University of Reading, Whiteknights, Reading, RG6 6AH, UK.
Louise J JohnsonSchool of Biological Sciences, University of Reading, Whiteknights, Reading, RG6 6AH, UK.
Phil DashSchool of Biological Sciences, University of Reading, Whiteknights, Reading, RG6 6AH, UK.
University of Reading · GB

Funding

Leverhulme Trust F/00 239/ALRoyal Society DH150169
6 · The paper itself

Abstract

backgroundTumour progression involves a series of phenotypic changes to cancer cells, each of which presents therapeutic targets. Here, using techniques adapted from microbial experimental evolution, we investigate the evolution of tumour spreading - a precursor for metastasis and tissue invasion - in environments with varied resource supply. Evolutionary theory predicts that competition for resources within a population will select for individuals to move away from a natal site (i.e. disperse), facilitating the colonisation of unexploited resources and decreasing competition between kin.

resultsAfter approximately 100 generations in environments with low resource supply, we find that MCF7 breast cancer spheroids (small in vitro tumours) show increased spreading. Conversely, spreading slows compared to the ancestor where resource supply is high. Common garden experiments confirm that the evolutionary responses differ between selection lines; with lines evolved under low resource supply showing phenotypic plasticity in spheroid spreading rate. These differences in spreading behaviour between selection lines are heritable (stable across multiple generations), and show that the divergently evolved lines differ in their response to resource supply.

conclusionsWe observe dispersal-like behaviour and an increased sensitivity to resource availability in our selection lines, which may be a response to selection, or alternatively may be due to epigenetic changes, provoked by prolonged resource limitation, that have persisted across many cell generations. Different clinical strategies may be needed depending on whether or not tumour progression is due to natural selection. This study highlights the effectiveness of experimental evolution approaches in cancer cell populations and demonstrates how simple model systems might enable us to observe and measure key selective drivers of clinically important traits.

Indexed as

Directed Molecular EvolutionCell ProliferationHumansMCF-7 CellsNeoplasmsPhenotypeSpheroids, CellularTime FactorsDispersalEpigeneticExperimental evolutionMetastasisMicroenvironmentPlasticityResource competition

Identifiers

PMID29281983
PMCPMC5745887
OpenAlexW2776734325

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.