Revealing endogenous conditions for Peto's paradox via an ordinary differential equation model.

ABSTRACT: Cancer, a disease intimately linked to cellular mutations, is commonly believed to exhibit a positive association with the cell count and lifespan of a species. Despite this assumption, the observed uniformity in cancer rates across species, referred to as the Peto's paradox, presents a conundrum. Recognizing that tumour progression is not solely dependent on cancer cells but involves intricate interactions among various cell types, this study employed a Lotka-Volterra (LV) ordinary differential equation model to analyze the evolution of cancerous cells and the cancer incidence in an immune environment. As a result, this study uncovered the sufficient conditions underlying the absence of correlation in Peto's paradox and provide insights into the reasons for the equitable distribution of c

SUBMITTER: Kan H 

PROVIDER: S-EPMC11227477 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature