Finally, in area 3 we propose to perform detailed studies to charaderize the effeds of genetic variation on risk for lung cancer, allowing for effects from tobacco smoke and a limited set of additional environmental exposures that have been collected as a part of ILCCO. We will also explore the effects of genetic variation on smoking phenotypes. Area 3 analyses will allow a careful assessment of the joint effects of smoking and genetic exposures for a range of populations having different smoking behaviors, genetic backgrounds and effects from potential confounding fadors such as diet that have been measured in many cases, but with imprecision. In addition, we will be evaluating existing procedures for characterizing the risk for lung cancer according to age, sex, smoking behavior and demographic and medical history factors. We will also extend these models to include the results from the proposed genetic studies that we are conduding. The final product will be the development of a clearer view of lung carcinogenesis as well as better tools for identifying individuals at high risk to develop lung cancer. Identifying such people is an important goal, since there remain no approved screening mortalities for lung cancer in asymptomatic individuals because of a low positive predidive value of such approaches in the general population, and concern about the potential risks and costs associated with screening.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program--Cooperative Agreements (U19)
Project #
5U19CA148127-04
Application #
8550776
Study Section
Special Emphasis Panel (ZCA1-SRLB-4)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
4
Fiscal Year
2013
Total Cost
$515,465
Indirect Cost
$49,611
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
David, Sean P; Wang, Ange; Kapphahn, Kristopher et al. (2016) Gene by Environment Investigation of Incident Lung Cancer Risk in African-Americans. EBioMedicine 4:153-61
Wang, Zhaoming; Seow, Wei Jie; Shiraishi, Kouya et al. (2016) Meta-analysis of genome-wide association studies identifies multiple lung cancer susceptibility loci in never-smoking Asian women. Hum Mol Genet 25:620-9
Scarbrough, Peter M; Weber, Rachel Palmieri; Iversen, Edwin S et al. (2016) A Cross-Cancer Genetic Association Analysis of the DNA Repair and DNA Damage Signaling Pathways for Lung, Ovary, Prostate, Breast, and Colorectal Cancer. Cancer Epidemiol Biomarkers Prev 25:193-200
Lieberman, Rachel; Xiong, Donghai; James, Michael et al. (2016) Functional characterization of RAD52 as a lung cancer susceptibility gene in the 12p13.33 locus. Mol Carcinog 55:953-63
Puskás, László G; Mán, Imola; Szebeni, Gabor et al. (2016) Novel Anti-CRR9/CLPTM1L Antibodies with Antitumorigenic Activity Inhibit Cell Surface Accumulation, PI3K Interaction, and Survival Signaling. Mol Cancer Ther 15:985-97
Chen, Li-Shiun; Baker, Timothy; Hung, Rayjean J et al. (2016) Genetic Risk Can Be Decreased: Quitting Smoking Decreases and Delays Lung Cancer for Smokers With High and Low CHRNA5 Risk Genotypes - A Meta-Analysis. EBioMedicine 11:219-226
Kang, Xiaozheng; Liu, Hongliang; Onaitis, Mark W et al. (2016) Polymorphisms of the centrosomal gene (FGFR1OP) and lung cancer risk: a meta-analysis of 14,463 cases and 44,188 controls. Carcinogenesis 37:280-9
Kachuri, Linda; Amos, Christopher I; McKay, James D et al. (2016) Fine mapping of chromosome 5p15.33 based on a targeted deep sequencing and high density genotyping identifies novel lung cancer susceptibility loci. Carcinogenesis 37:96-105
Karami, Sara; Han, Younghun; Pande, Mala et al. (2016) Telomere structure and maintenance gene variants and risk of five cancer types. Int J Cancer 139:2655-2670
Patel, Yesha M; Park, Sunghim L; Han, Younghun et al. (2016) Novel Association of Genetic Markers Affecting CYP2A6 Activity and Lung Cancer Risk. Cancer Res 76:5768-5776

Showing the most recent 10 out of 108 publications