Simulating the process of malignant transformation.
A computationally efficient method for the simulation of carcinogenesis is presented. The underlying model for the process is the two-mutation clonal expansion model with explicit consideration of stochastic growth of malignant tumors. The usual likelihood-based methods of analysis ignore the growth kinetics of malignant tumors. The effect of this oversight on estimation of parameters is explored by simulation.
Luebeck
E G
EG
Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, Washington.
Moolgavkar
S H
SH
D000818:Animals; D002471:Cell Transformation, Neoplastic / Q000235:genetics; D006801:Humans; D016013:Likelihood Functions; D008433:Mathematics; D008954:Models, Biological; D009154:Mutation; D009369:Neoplasms / Q000209:etiology / Q000235:genetics; D014411:Neoplastic Stem Cells / Q000473:pathology