Gestational mutations and carcinogenesis.
Meza-R; Luebeck-EG; Moolgavkar-SH
Math Biosci 2005 Oct; 197(2):188-210
We present a mathematical formulation to evaluate the effects of gestational mutations on cancer risk. The hazard or incidence function of cancer is expressed in terms of the Probability Generating Function (PGF) of the number of normal and mutated cells at birth. Using Filtered Poisson Process Theory, we obtain the PGF for several models for the accumulation of gestational mutations. In particular, we develop expressions for the hazard function when one or two successive mutations could occur during gestation. We also calculate the hazard when the background gestational mutation rates are increased due to exposure to mutagens, such as prenatal radiation. To illustrate the use of our models, we apply them to colorectal cancer in the SEER database. We find that the proportion of cancer risk attributable to developmental mutations depends on age and that it could be quite significant when gestational mutation rates are high. The analysis of the SEER data also shows that gestational mutations could contribute to inter-individual variations in colorectal cancer risk.
Carcinogens; Carcinogenicity; Carcinogenesis; Cancer; Risk-factors; Risk-analysis; Models; Mutagens; Exposure-levels; Exposure-assessment;
Author Keywords: Gestational mutations; Multistage carcinogenesis; Luria-Delbrück models
Suresh H. Moolgavkar, Department of Applied Mathematics, University of Washington, and Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, P.O. Box 19024, Seattle, WA 98109-1024, USA
Fred Hutchinson Cancer Research Center