Host: The Japan Radiation Research Society
Co-host: Asian Association for Radiation Research
The dose-response relationship of cancer in the atomic bomb survivors is likely to be linear whereas it does not hold true among various stains of mice and rats. The inconsistency causes the gap between epidemiology and biology for considering the dose-response model. Previous approach to dose-response models is based on the amount of damages, such as DSB or chromosome aberration, etc. induced by irradiation. The approach does not consider inhomogeneous characteristics such as genetic variation or individual susceptibility. If we look at individual difference among required doses inducing cancer, a statistical model for tumor doses may be a useful theory in analyzing a dose-response curvature. In the statistical model for tumor doses the cumulative probability of cancer with increasing dose was modeled as a log-normal distribution. We focused on the standard deviation of acute lethality in human and that of tumor doses in various strains of mice and rats reported in the literatures. Our simulation that investigated the effect of standard deviation on the dose-response curvature suggested that the linearity was higher with inhomogeneity of population.