ReviewBiology direct2010
Cancer models, genomic instability and somatic cellular Darwinian evolution.
Review in Biology direct, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of published excess relative risk estimates.Radiation and environmental biophysics · 2020Pooled it
- Molecular Characterization of Oral Squamous Cell Carcinoma in Mexican Patients: A Genomic and Epidemiological Overview.Cancers · 2025Article
- Recent evolution of risk analyses in atomic bomb survivor studies: new methods and applications.Carcinogenesis · 2025Review
- Minimum latency effects for cancer associated with exposures to radiation or other carcinogens.British journal of cancer · 2024Article
- Genomic Instability Evolutionary Footprints on Human Health: Driving Forces or Side Effects?International journal of molecular sciences · 2023Review
- Article
- Adverse outcome pathways, key events, and radiation risk assessment.International journal of radiation biology · 2021Review
- Summary of the Second Bill Morgan Memorial Symposium: an update on low dose biology, epidemiology, its integration and implications for radiation protection.International journal of radiation biology · 2021Article
- Transient commensal clonal interactions can drive tumor metastasis.Nature communications · 2020Article
- Epithelial Ovarian Cancer and the Immune System: Biology, Interactions, Challenges and Potential Advances for Immunotherapy.Journal of clinical medicine · 2020Review
- Review
- Multi-stage models for the failure of complex systems, cascading disasters, and the onset of disease.PloS one · 2019Article
- Cancer and intercellular cooperation.Royal Society open science · 2017Review
- Blood vessel tortuosity selects against evolution of aggressive tumor cells in confined tissue environments: A modeling approach.PLoS computational biology · 2017Article
- Mathematical models of tissue stem and transit target cell divisions and the risk of radiation- or smoking-associated cancer.PLoS computational biology · 2017Article
- Evolution of genetic instability in heterogeneous tumors.Journal of theoretical biology · 2016Article
- Smoking: additional burden on aging and death.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2016Review
- Beyond two-stage models for lung carcinogenesis in the Mayak workers: implications for plutonium risk.PloS one · 2015Article
- Anthropogenic selection enhances cancer evolution in Tasmanian devil tumours.Evolutionary applications · 2014Article
- Analysis and prediction of pathways in HeLa cells by integrating biological levels of organization with systems-biology approaches.PloS one · 2013Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The biology of cancer is critically reviewed and evidence adduced that its development can be modelled as a somatic cellular Darwinian evolutionary process. The evidence for involvement of genomic instability (GI) is also reviewed. A variety of quasi-mechanistic models of carcinogenesis are reviewed, all based on this somatic Darwinian evolutionary hypothesis; in particular, the multi-stage model of Armitage and Doll (Br. J. Cancer 1954:8;1-12), the two-mutation model of Moolgavkar, Venzon, and Knudson (MVK) (Math. Biosci. 1979:47;55-77), the generalized MVK model of Little (Biometrics 1995:51;1278-1291) and various generalizations of these incorporating effects of GI (Little and Wright Math. Biosci. 2003:183;111-134; Little et al. J. Theoret. Biol. 2008:254;229-238).
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Registered trials
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.