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Determining cancer risk: the evolutionary multistage model or total stem cell divisions?
1Department of Evolution, Ecology and Organismal Biology, University of California, Riverside, CA 92521, USA.
Proceedings. Biological Sciences
|December 16, 2020
Summary
The evolutionary multistage model of carcinogenesis (EMMC) better explains cancer incidence than the stem cell division model. This research supports the EMMC, highlighting cancer suppression as an evolving trait.
Area of Science:
- Evolutionary biology
- Cancer research
- Genetics
Background:
- The total number of stem cell divisions (TSCD) model hypothesizes intrinsic cancer risk.
- The multistage model has historically explained cancer origins.
- Discrepancies exist in understanding cancer frequency and its determinants.
Purpose of the Study:
- To test the validity of the TSCD model against an evolutionary multistage model of carcinogenesis (EMMC).
- To determine the most accurate model for interpreting cancer incidence worldwide.
- To assess the implications of these models for understanding cancer risk factors.
Main Methods:
- Applied three statistical tests to worldwide cancer incidence data.
- Compared predictions of the TSCD model with those of the EMMC.
- Evaluated models based on their ability to explain cancer frequency and distribution.
Main Results:
- All three tests supported the EMMC.
- The TSCD model was contradicted by the data.
- EMMC predictions align with cancer incidence in large, rapidly dividing tissues late in life.
Conclusions:
- The EMMC provides a more robust framework for understanding carcinogenesis.
- The TSCD model's conclusions regarding 'bad luck' versus other factors are undermined.
- Cancer suppression mechanisms in animals may offer insights for human cancer prevention.
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