Grant Number:	5P01CA076466-03 Interpret this number
Primary Investigator:	Moolgavkar, Suresh
Organization:	Fred Hutchinson Cancer Research Center
Project Title:	Biomathematical Approaches to Cancer and AIDS
Fiscal Year:	1999

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.




On Simulating Strongly Interacting, Stochastic Population Models. Ii. Multiple Compartments
Authors: Wick D. , Self S.G. .
Source: Mathematical Biosciences, 2004 Aug; 190(2), p. 127-43.
PMID: 15234614
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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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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.
PMID: 12720305
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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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What's The Matter With Hiv-directed Killer T Cells?
Authors: Wick D. , Self S.G. .
Source: Journal Of Theoretical Biology, 2002-11-07 00:00:00.0; 219(1), p. 19-31.
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Testing goodness of fit for stochastic models of carcinogenesis.
Authors: Gregori G. , Hanin L. , Luebeck G. , Moolgavkar S. , Yakovlev A. .
Source: Mathematical Biosciences, 2002 Jan; 175(1), p. 13-29.
PMID: 11779625
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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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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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The Role Of Promotion In Carcinogenesis From Protracted High-let Exposure
Authors: Curtis S.B. , Luebeck E.G. , Hazelton W.D. , Moolgavkar S.H. .
Source: Physica Medica : Pm : An International Journal Devoted To The Applications Of Physics To Medicine And Biology : Official Journal Of The Italian Association Of Biomedical Physics (aifb), 2001; 17 Suppl 1, p. 157-60.
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Early Hiv Infection In Vivo: Branching-process Model For Studying Timing Of Immune Responses And Drug Therapy
Authors: Wick D. , Self S.G. .
Source: Mathematical Biosciences, 2000 Jun; 165(2), p. 115-34.
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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.
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Identifiability Of Parameters In The Yakovlev-polig Model Of Carcinogenesis
Authors: Hanin L.G. , Boucher K.M. .
Source: Mathematical Biosciences, 1999 Aug; 160(1), p. 1-24.
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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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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.
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Modeling Insight Into Spontaneous Regression Of Tumors
Authors: Yakovlev A. , Boucher K. , DiSario J. .
Source: Mathematical Biosciences, 1999-01-01 00:00:00.0; 155(1), p. 45-60.
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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.
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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.
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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.
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