||Cancer Dose-Response Models Incorporating Clonal Expansion.
Chen, C. W. ;
Moini, A. ;
||Environmental Protection Agency, Washington, DC. Office of Health and Environmental Assessment. ;Computer Sciences Corp., Arlington, VA.
Dose-response relationships ;
Mathematical models ;
Risk factors ;
Predictive value of tests ;
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Under the assumption that a malignant tumor develops through a sequence of steps (normal cells->initiated cells/foci->nodules->tumors) two classes of mathematical models of carcinogenesis that have a potential to be used for cancer dose-response modeling are discussed. The two classes of models considered are (1) a general version of the two-stage model by Moolgavkar and colleagues, henceforth called the MVK model, and (2) a clone process model derived from Tucker. These two classes of models incorporate essentially the same biological information but in different ways and offer a conceptual contrast between the two differing approaches. The objectives of the paper are to (1) highlight issues and problems that arise in using biologically based dose-response models to predict cancer risk and (2) discuss how parameters in the models could be estimated using auxiliary information.