? ? In the course of previous CISNET funding period, we developed two complementary models of lung cancer: (i) Model of carcinogenesis, extended to include genetic susceptibility and impact of smoking pattern, (ii) Model of progression, detection and treatment, based on stochastic tumor growth and stochastic stage transitions. The main trust of the research planned will be focused on two Aims:
Aim 1. To determine population impact of interventions such as: (a) Smoking cessation and prevention of initiation, (b) Early detection of lung cancer by periodic screening using helical CT, in a high-risk population, followed by therapy, (c) Lifestyle interventions (e.g., dietary), removal of exposures (ETS, asbestos, radon).
Aim 2. Predict the population impact of novel interventions, not yet developed, such as genetic screening of heavy smokers and other high-risk groups, detection using new biomarkers, new treatment modalities and so forth..While the impact of smoking on lung cancer is generally well understood, there are certain aspects of this modeling which are still a major challenge, e.g., gaining a better understanding of the process of carcinogenesis for those who have quit smoking and understanding trends in lung cancer among nonsmokers. This implies our Aim 3. To model carcinogenesis and natural history of lung cancer in former smokers and never smokers. ? ? Modeling is the only method that allows extrapolation of results of controlled cancer intervention studies to estimates of US population and community effectiveness. Current models, as it is seen from the review above, do not address existing inter-individual variability in susceptibility, natural history, response to treatment, and so forth. The individual-based approach to modeling, which we are taking in this application, will allow addressing this variability. The individual-based approach is also suitable for modeling of interventions, which do not yet exist such as new treatments. ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA097431-05
Application #
7128103
Study Section
Special Emphasis Panel (ZCA1-SRRB-K (M1))
Program Officer
Feuer, Eric J
Project Start
2002-09-18
Project End
2010-08-31
Budget Start
2006-09-22
Budget End
2007-08-31
Support Year
5
Fiscal Year
2006
Total Cost
$212,392
Indirect Cost
Name
Rice University
Department
Biostatistics & Other Math Sci
Type
Schools of Engineering
DUNS #
050299031
City
Houston
State
TX
Country
United States
Zip Code
77005
Moolgavkar, Suresh H; Holford, Theodore R; Levy, David T et al. (2012) Impact of reduced tobacco smoking on lung cancer mortality in the United States during 1975-2000. J Natl Cancer Inst 104:541-8
Chen, Xing; Gorlov, Ivan P; Ying, Jun et al. (2012) Initial medical attention on patients with early-stage non-small cell lung cancer. PLoS One 7:e32644
Feuer, Eric J; Levy, David T; McCarthy, William J (2012) Chapter 1:The impact of the reduction in tobacco smoking on U.S. lung cancer mortality, 1975-2000: an introduction to the problem. Risk Anal 32 Suppl 1:S6-S13
Chen, Xing; Gorlov, Ivan P; Merriman, Kelly W et al. (2011) Association of smoking with tumor size at diagnosis in non-small cell lung cancer. Lung Cancer 74:378-83
Foy, Millennia; Chen, Xing; Kimmel, Marek et al. (2011) Adjusting a cancer mortality-prediction model for disease status-related eligibility criteria. BMC Med Res Methodol 11:64
Foy, Millennia; Yip, Rowena; Chen, Xing et al. (2011) Modeling the mortality reduction due to computed tomography screening for lung cancer. Cancer 117:2703-8
Foy, Millennia; Spitz, Margaret R; Kimmel, Marek et al. (2011) A smoking-based carcinogenesis model for lung cancer risk prediction. Int J Cancer 129:1907-13
Goldwasser, Deborah L; Kimmel, Marek (2010) Modeling excess lung cancer risk among screened arm participants in the Mayo Lung Project. Cancer 116:122-31
Deng, Li; Kimmel, Marek; Foy, Millennia et al. (2009) Estimation of the effects of smoking and DNA repair capacity on coefficients of a carcinogenesis model for lung cancer. Int J Cancer 124:2152-8
Gorlov, Ivan P; Byun, Jinyoung; Gorlova, Olga Y et al. (2009) Candidate pathways and genes for prostate cancer: a meta-analysis of gene expression data. BMC Med Genomics 2:48

Showing the most recent 10 out of 11 publications