Open AccessPeto's paradox revisited: theoretical evolutionary dynamics of cancer in wild populations
Author(s) -
Roche Benjamin,
Sprouffske Kathleen,
Hbid Hassan,
Missé Dorothée,
Thomas Frédéric
Publication year - 2013
Publication title -
evolutionary applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.776
H-Index - 68
ISSN - 1752-4571
DOI - 10.1111/eva.12025
Subject(s) - biology , natural selection , cancer , carcinogenesis , evolutionary biology , selection (genetic algorithm) , genome , evolvability , trait , range (aeronautics) , evolutionary dynamics , negative selection , genetics , gene , demography , population , computer science , materials science , artificial intelligence , sociology , composite material , programming language
If the occurrence of cancer is the result of a random lottery among cells, then body mass, a surrogate for cells number, should predict cancer incidence. Despite some support in humans, this assertion does not hold over the range of different natural animal species where cancer incidence is known. Explaining the so‐called ‘ P eto's paradox' is likely to increase our understanding of how cancer defense mechanisms are shaped by natural selection. Here, we study how body mass may affect the evolutionary dynamics of tumor suppressor gene ( TSG ) inactivation and oncogene activation in natural animal species. We show that the rate of TSG inactivation should evolve to lower values along a gradient of body mass in a nonlinear manner, having a threshold beyond which benefits to adaptive traits cannot overcome their costs. We also show that oncogenes may be frequently activated within populations of large organisms. We then propose experimental settings that can be employed to identify protection mechanisms against cancer. We finally highlight fundamental species traits that natural selection should favor against carcinogenesis. We conclude on the necessity of comparing genomes between populations of a single species or genomes between species to better understand how evolution has molded protective mechanisms against cancer development and associated mortality.