Evidence map›Paper›PMID 26195756›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Toward an evolutionary model of cancer: Considering the mechanisms that govern the fate of somatic mutations.

Andrii I Rozhok, James DeGregori

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

60 citing papers in PubMed, 121 citations in OpenAlex.

  1. Article
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  5. What sets the mutation rate of a cell type in an animal species?bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. The adaptive state determines the impact of mutations on evolving populations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
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  11. 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

2 authors at 1 institution in 2 countries.

Andrii I RozhokDepartment of Biochemistry and Molecular Genetics.
James DeGregoriDepartment of Biochemistry and Molecular Genetics, Integrated Department of Immunology, Department of Pediatrics, and Section of Hematology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO 80045 james.degregori@ucdenver.edu.
Laboratory of Molecular Genetics · PL

Funding

Aging-associated alterations in adaptive landscapes and the evolution of leukemiaR01CA180175 · NCI · UNIVERSITY OF COLORADO DENVER · PI DEGREGORI, JAMES V · 2013 to 2018
$1.8M
Nrf2-mediated impaired hematopoietic stem cell fitness following irradiationR21CA179501 · NCI · UNIVERSITY OF COLORADO DENVER · PI DEGREGORI, JAMES V · 2015 to 2016
$372k
NCI NIH HHS R01 CA180175NCI NIH HHS R01CA180175NCI NIH HHS R21 CA179501
6 · The paper itself

Abstract

Our understanding of cancer has greatly advanced since Nordling [Nordling CO (1953) Br J Cancer 7(1):68-72] and Armitage and Doll [Armitage P, Doll R (1954) Br J Cancer 8(1):1-12] put forth the multistage model of carcinogenesis. However, a number of observations remain poorly understood from the standpoint of this paradigm in its contemporary state. These observations include the similar age-dependent exponential rise in incidence of cancers originating from stem/progenitor pools differing drastically in size, age-dependent cell division profiles, and compartmentalization. This common incidence pattern is characteristic of cancers requiring different numbers of oncogenic mutations, and it scales to very divergent life spans of mammalian species. Also, bigger mammals with larger underlying stem cell pools are not proportionally more prone to cancer, an observation known as Peto's paradox. Here, we present a number of factors beyond the occurrence of oncogenic mutations that are unaccounted for in the current model of cancer development but should have significant impacts on cancer incidence. Furthermore, we propose a revision of the current understanding for how oncogenic and other functional somatic mutations affect cellular fitness. We present evidence, substantiated by evolutionary theory, demonstrating that fitness is a dynamic environment-dependent property of a phenotype and that oncogenic mutations should have vastly different fitness effects on somatic cells dependent on the tissue microenvironment in an age-dependent manner. Combined, this evidence provides a firm basis for understanding the age-dependent incidence of cancers as driven by age-altered systemic processes regulated above the cell level.

Indexed as

Biological EvolutionModels, BiologicalAnimalsGenetic DriftGenetic FitnessHumansMutationNeoplasmsNonlinear DynamicsSelection, GeneticStem CellsTime Factorsagingcancerfitnessoncogenic mutationssomatic evolution

Identifiers

PMID26195756
PMCPMC4517250
OpenAlexW1705514413

What OpenQuestion holds

Textmetadata
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.