Diet Determinants of Animal Cancer Mortality Risk with Statistical Models

Large body size and long-life span are variables commonly correlated to the rise of cancer risks since animals larger in size and longevity undergo more cell divisions, which increases the rate of accumulation of mutations. This study investigates Peto's Paradox, which is a logical challenge that denies the association between these variables and cancer risks among vertebrates. Cancer mortality risk (CMR) was calculated across non-domesticated animals to investigate cancer-related deaths across different species. Statistical models revealed a negative correlation between body mass and cancer mortality, with larger species exhibiting lower cancer risks. Statistical tests showed that consuming vertebrates, birds, and mammals increases animals’ CMR. Gradient Boosting Regressor was the best algorithm to predict CMR among animal populations. These results support Peto's paradox and suggest that with the increase of CMR, animals with larger body mass evolved cancer defense mechanisms. Overall, this study emphasizes the need for further research into cross-species cancer risks and anticancer mechanisms in animals.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2025-06-27
DOI
https://doi.org/10.54097/eerqbk73
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Diet Determinants of Animal Cancer Mortality Risk with Statistical Models

Maggie Ding
Highlights in Science Engineering and Technology
Molecular Biology Techniques and Applications
article

Diet Determinants of Animal Cancer Mortality Risk with Statistical Models

Maggie Ding
article en

Abstract

Large body size and long-life span are variables commonly correlated to the rise of cancer risks since animals larger in size and longevity undergo more cell divisions, which increases the rate of accumulation of mutations. This study investigates Peto's Paradox, which is a logical challenge that denies the association between these variables and cancer risks among vertebrates. Cancer mortality risk (CMR) was calculated across non-domesticated animals to investigate cancer-related deaths across different species. Statistical models revealed a negative correlation between body mass and cancer mortality, with larger species exhibiting lower cancer risks. Statistical tests showed that consuming vertebrates, birds, and mammals increases animals’ CMR. Gradient Boosting Regressor was the best algorithm to predict CMR among animal populations. These results support Peto's paradox and suggest that with the increase of CMR, animals with larger body mass evolved cancer defense mechanisms. Overall, this study emphasizes the need for further research into cross-species cancer risks and anticancer mechanisms in animals.

Highlights in Science Engineering and TechnologyVol. 144
Berkshire Medical Center (US), Berkshire Community College (US), Berkshire Health Systems (US)
Openalex Percentile: Top 86%
Molecular Biology Techniques and Applications
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Diet Determinants of Animal Cancer Mortality Risk with Statistical Models — Maggie Ding · Highlights in Science Engineering and Technology (2025) | TGRS Research Map | TGRS