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National Institutes of Health: National Cancer Institute: Division of Cancer Control and Population Sciences
Grant Details

Grant Number: 5P01CA076466-04 Interpret this number
Primary Investigator: Moolgavkar, Suresh
Organization: Fred Hutchinson Cancer Research Center
Project Title: Biomathematical Approaches to Cancer and AIDS
Fiscal Year: 2000
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The central theme of this program project is the development of quantitative methods, based on biological mechanism, to address important problems in cancer and AIDS. To this end, biologically-based mathematical models will be developed, together with the requisite statistical methods and computational tools for the analysis of data using these models. The usefulness of the models will be demonstrated by analyses of substantial data sets. Three research projects are proposed. 1. Stochastic Models of Carcinogenesis with Applications to Analyses of Epidemiologic and Experimental Data. In this project stochastic models of carcinogenesis will be developed for analyses of time-to-tumor data in epidemiologic and experimental studies and for analyses of intermediate lesions on the pathway to cancer in initiation-promotion experiments. 2. Risk Prediction Models for Breast and other Cancers. In this project, risk prediction models, based on the natural history of the disease and incorporating both genetic and environmental factors, will be developed for breast and other cancers 3. Quantitative methods for Modelling HIV Infection Dynamics: In this project, deterministic and stochastic models will be developed for describing interactions between HIV and the immune system during the acute and early stages of infection.

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Estimating The Probability Of Initiated Cell Death Before Tumor Induction
Authors: Boucher K.M. , Yakovlev A.Y. .
Source: Proceedings Of The National Academy Of Sciences Of The United States Of America, 1997-11-25 00:00:00.0; 94(24), p. 12776-9.
PMID: 9371751
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Mechanistic Modeling Of Multiple Tumorigenesis: An Application To Data On Lung Tumors In Mice Exposed To Urethane
Authors: Yakovlev A.Y. , Pavlova L.V. .
Source: Annals Of The New York Academy Of Sciences, 1997-12-26 00:00:00.0; 837, p. 462-8.
PMID: 9472358
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A Model Of Multiple Tumorigenesis Allowing For Cell Death: Quantitative Insight Into Biological Effects Of Urethane
Authors: Boucher K. , Pavlova L.V. , Yakovlev A.Y. .
Source: Mathematical Biosciences, 1998 Jun; 150(1), p. 63-82.
PMID: 9654893
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The Disappearing Cd4(+)t Cells In Hiv Infection: A Case Of Over-stimulation?
Authors: Wick D. .
Source: Journal Of Theoretical Biology, 1999-04-21 00:00:00.0; 197(4), p. 507-16.
PMID: 10196093
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On T-cell Dynamics And The Hyperactivation Theory Of Aids Pathogenesis
Authors: Wick D. .
Source: Mathematical Biosciences, 1999 May; 158(2), p. 127-44.
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Biologically Based Analysis Of The Data For The Colorado Uranium Miners Cohort: Age, Dose And Dose-rate Effects
Authors: Luebeck E.G. , Heidenreich W.F. , Hazelton W.D. , Paretzke H.G. , Moolgavkar S.H. .
Source: Radiation Research, 1999 Oct; 152(4), p. 339-51.
PMID: 10477911
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Marginally Specified Logistic-normal Models For Longitudinal Binary Data
Authors: Heagerty P.J. .
Source: Biometrics, 1999 Sep; 55(3), p. 688-98.
PMID: 11314994
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Analysis Of A Historical Cohort Of Chinese Tin Miners With Arsenic, Radon, Cigarette Smoke, And Pipe Smoke Exposures Using The Biologically Based Two-stage Clonal Expansion Model
Authors: Hazelton W.D. , Luebeck E.G. , Heidenreich W.F. , Moolgavkar S.H. .
Source: Radiation Research, 2001 Jul; 156(1), p. 78-94.
PMID: 11418076
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Multistage Carcinogenesis And The Incidence Of Colorectal Cancer
Authors: Luebeck E.G. , Moolgavkar S.H. .
Source: Proceedings Of The National Academy Of Sciences Of The United States Of America, 2002-11-12 00:00:00.0; 99(23), p. 15095-100.
PMID: 12415112
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A New Perspective Of Carcinogenesis From Protracted High-let Radiation Arises From The Two-stage Clonal Expansion Model
Authors: Curtis S.B. , Luebeck E.G. , Hazelton W.D. , Moolgavkar S.H. .
Source: Advances In Space Research : The Official Journal Of The Committee On Space Research (cospar), 2002; 30(4), p. 937-44.
PMID: 12539762
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Exploring Heterogeneity In Tumour Data Using Markov Chain Monte Carlo
Authors: de Gunst M.C. , Dewanji A. , Luebeck E.G. .
Source: Statistics In Medicine, 2003-05-30 00:00:00.0; 22(10), p. 1691-707.
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On Simulating Strongly-interacting, Stochastic Population Models
Authors: Wick D. , Self S.G. .
Source: Mathematical Biosciences, 2004 Jan; 187(1), p. 1-20.
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On Simulating Strongly Interacting, Stochastic Population Models. Ii. Multiple Compartments
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