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A generalized theory of age-dependent carcinogenesis
Andrii Rozhok1, James DeGregori1,2,3,4
1Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, United States.
Elife
|April 30, 2019
Summary
The Multi-Stage Model of Carcinogenesis (MMC) needs updates. Incorporating aging-dependent selection and species-specific tumor suppressor evolution improves cancer incidence modeling across tissues and species.
Area of Science:
- Evolutionary biology
- Cancer research
- Somatic evolution
Background:
- The Multi-Stage Model of Carcinogenesis (MMC) explains cancer as a Darwinian somatic selection process, with incidence linked to mutation rates.
- The model's ability to explain cancer incidence discrepancies across different tissues and species, considering driver mutations and stem cell organization, remains untested.
- Existing models do not fully account for variations in stem cell compartments and driver mutations observed in cancers with similar age-dependent incidence patterns.
Purpose of the Study:
- To evaluate the performance of the Multi-Stage Model of Carcinogenesis (MMC) by assessing key somatic evolutionary parameters.
- To identify necessary modifications to the MMC to generalize cancer incidence patterns across diverse tissues and species.
- To investigate the impact of aging-dependent somatic selection and species-specific tumor suppressor evolution on cancer incidence.
Main Methods:
- Monte Carlo modeling was employed to simulate the effects of crucial somatic evolutionary parameters on the MMC.
- The study analyzed the discrepancies between the number of driver mutations and the organization of stem cell compartments in various cancers.
- The performance of the MMC was tested against age-dependent incidence patterns observed in different tissues and species.
Main Results:
- The standard Multi-Stage Model of Carcinogenesis (MMC) does not fully account for variations in driver mutations and stem cell organization across different cancer types.
- Monte Carlo simulations revealed that aging-dependent somatic selection significantly impacts cancer incidence patterns.
- The evolution of species-specific tumor suppressor mechanisms, influenced by life history, is crucial for explaining cancer incidence across species.
Conclusions:
- The Multi-Stage Model of Carcinogenesis (MMC) requires significant updates to accurately model cancer incidence.
- Incorporating aging-dependent somatic selection and life history-dependent evolution of tumor suppressor mechanisms is essential for a generalized cancer model.
- The revised MMC framework can better explain age-dependent cancer incidence patterns across diverse tissues and species.
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