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Human–mouse comparison of the multistage nature of radiation carcinogenesis in a mathematical model.

Authors :
Imaoka, Tatsuhiko
Tanaka, Satoshi
Tomita, Masanori
Doi, Kazutaka
Sasatani, Megumi
Suzuki, Keiji
Yamada, Yutaka
Kakinuma, Shizuko
Kai, Michiaki
Source :
International Journal of Cancer; Sep2024, Vol. 155 Issue 6, p1101-1111, 11p
Publication Year :
2024

Abstract

Mouse models are vital for assessing risk from environmental carcinogens, including ionizing radiation, yet the interspecies difference in the dose response precludes direct application of experimental evidence to humans. Herein, we take a mathematical approach to delineate the mechanism underlying the human–mouse difference in radiation‐related cancer risk. We used a multistage carcinogenesis model assuming a mutational action of radiation to analyze previous data on cancer mortality in the Japanese atomic bomb survivors and in lifespan mouse experiments. Theoretically, the model predicted that exposure will chronologically shift the age‐related increase in cancer risk forward by a period corresponding to the time in which the spontaneous mutational process generates the same mutational burden as that the exposure generates. This model appropriately fitted both human and mouse data and suggested a linear dose response for the time shift. The effect per dose decreased with increasing age at exposure similarly between humans and mice on a per‐lifespan basis (0.72‐ and 0.71‐fold, respectively, for every tenth lifetime). The time shift per dose was larger by two orders of magnitude in humans (7.8 and 0.046 years per Gy for humans and mice, respectively, when exposed at ~35% of their lifetime). The difference was mostly explained by the two orders of magnitude difference in spontaneous somatic mutation rates between the species plus the species‐independent radiation‐induced mutation rate. Thus, the findings delineate the mechanism underlying the interspecies difference in radiation‐associated cancer mortality and may lead to the use of experimental evidence for risk prediction in humans. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00207136
Volume :
155
Issue :
6
Database :
Complementary Index
Journal :
International Journal of Cancer
Publication Type :
Academic Journal
Accession number :
178441674
Full Text :
https://doi.org/10.1002/ijc.34987