This is a multi-investigator project that applies mathematical and statistical methods to the study of clinical and experimental cancer and of biological mechanisms relevant to cancer. (1) Data on human cancer incidence are being compared to a mathematical model that incorporates cell kinetics as well as transition rates for each two stages. The role of smoking in the origin of various human cancers is also being studied. (2) Statistical methods are being developed and utilized in the analysis of individuals infected with hepatitis B virus, their rates of conversion to the carrier state, and their acquisition of primary hepatocellular cancer. Mathematical models are also being applied to the study of cancer in rats as a function of early diet and growth. (3) Stochastic methods are being employed to analyze such diverse problems as the incidence of cancer in families and local communities, the estimation of numbers of cell surfaces, and the structures of proteins and nucleic acids. (4) Mathematical analysis is being performed on the mitotic cycle of cells, utilizing data obtained by time-lapse microcinematography and by two-parameter flow cytometry.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA039949-04
Application #
3179360
Study Section
(SSS)
Project Start
1984-08-01
Project End
1988-02-29
Budget Start
1987-03-01
Budget End
1988-02-29
Support Year
4
Fiscal Year
1987
Total Cost
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
075524595
City
Seattle
State
WA
Country
United States
Zip Code
98109
Desouza, C M (1991) An empirical Bayes formulation of cohort models in cancer epidemiology. Stat Med 10:1241-56
Rigney, D R; Goldberger, A L (1989) Nonlinear mechanics of the heart's swinging during pericardial effusion. Am J Physiol 257:H1292-305
Rigney, D R; Wei, J Y (1989) Note on the dispersion of generations among cells in senescing diploid fibroblast populations. Mech Ageing Dev 47:187-97
Hahn, R A; Moolgavkar, S H (1989) Nulliparity, decade of first birth, and breast cancer in Connecticut cohorts, 1855 to 1945: an ecological study. Am J Public Health 79:1503-7
Moolgavkar, S H (1988) Biologically motivated two-stage model for cancer risk assessment. Toxicol Lett 43:139-50
Moolgavkar, S; Dewanji, A (1988) Biologically based models for cancer risk assessment: a cautionary note. Risk Anal 8:5-6
Rigney, D R; Wei, J Y (1988) A novel motion detection method for improving the quality of two-dimensional echocardiographic images. J Am Soc Echocardiogr 1:127-34
Moolgavkar, S H; Venzon, D J (1987) General relative risk regression models for epidemiologic studies. Am J Epidemiol 126:949-61
Lustbader, E D; Moolgavkar, S H (1987) Some problems of inference in cohort studies. J Chronic Dis 40 Suppl 2:133S-137S
Moolgavkar, S H (1986) Carcinogenesis modeling: from molecular biology to epidemiology. Annu Rev Public Health 7:151-69

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