Evidence map›Paper›PMID 28341421›Full record

ReviewBiochimica et biophysica acta. Reviews on cancer2017

Mutations, evolution and the central role of a self-defined fitness function in the initiation and progression of cancer.

Robert A Gatenby, Joel Brown

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Reviews on cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Updating the Definition of Cancer.Molecular cancer research : MCR · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Analysis and Interpretation of the Impact of Missense Variants in Cancer.International journal of molecular sciences · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Cell competition in liver carcinogenesis.World journal of hepatology · 2020
    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

2 authors at 1 institution in 1 country.

Robert A GatenbyCancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, FL, USA. Electronic address: Robert.gatenby@moffitt.org.
Joel BrownCancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, FL, USA.
Moffitt Cancer Center · US

Funding

"Research Supplement to Promote Diversity in Health-Related Research", as part of Moffitt PS-OC, "Cancer as a Complex adaptive System"U54CA193489 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, GATENBY, ROBERT A · 2015 to 2020
$12.5M
Application of Evolutionary Principles to Maintain Cancer Control (PQ21)R01CA170595 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2012 to 2015
$2.1M
NCI NIH HHS R01 CA170595NCI NIH HHS U54 CA193489
6 · The paper itself

Abstract

The origin and progression of cancer is widely viewed as "somatic evolution" driven by the accumulation of random genetic changes. This theoretical model, however, neglects fundamental conditions for evolution by natural selection, which include competition for survival and a local environmental context. Recent observations that the mutational burden in different cancers can vary by 2 orders of magnitude and that multiple mutations, some of which are "oncogenic," are observed in normal tissue suggests these neglected Darwinian dynamics may play a critical role in modifying the evolutionary consequences of molecular events. Here we discuss evolutionary principles in normal tissue focusing on the dynamical tension between different evolutionary levels of selection. Normal somatic cells within metazoans do not ordinarily evolve because their survival and proliferation are governed by tissue signals and internal controls (e.g. telomere shortening) that maintain homeostatic function. The fitness of each cell is, thus, identical to the whole organism, which is the evolutionary level of selection. For a cell to evolve, it must acquire a self-defined fitness function so that its survival and proliferation is determined entirely by its own heritable phenotypic properties. Cells can develop independence from normal tissue control through randomly accumulating mutations that disrupt its ability to recognize or respond to all host signals. A self-defined fitness function can also be gained non-genetically when tissue control signals are lost due to injury, inflammation, or infection. Accumulating mutations in cells without a self-defined fitness function will produce no evolution - consistent with reports showing mutations, including some that would ordinarily be oncogenic, are present in cells from normal tissue. Furthermore, once evolution begins, Darwinian forces will promote mutations that increase fitness and eliminate those that do not. Thus, cancer cells will typically have a mutational burden similar to adjacent normal cells and many (perhaps most) mutations observed in cancer cells occurred prior to somatic evolution and may not contribute to the cell's malignant phenotype. This article is part of a Special Issue entitled: Evolutionary principles - heterogeneity in cancer?, edited by Dr. Robert A. Gatenby.

Indexed as

Evolution, MolecularGenetic FitnessMutationAdaptation, PhysiologicalAnimalsBiomarkers, TumorCell Transformation, NeoplasticGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHeredityHumansModels, GeneticNeoplasmsPedigreePhenotypeSignal TransductionBiomarkers, TumorCancer evolution somatic mutations theoryFitness functionSomatic evolution

Identifiers

PMID28341421
PMCPMC5441954
OpenAlexW2600686376

What OpenQuestion holds

Textmetadata
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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.