Genetic susceptibility for lung cancer: interactions with gender and smoking history and impact on early detection policies.


Journal Article

OBJECTIVES: To identify a subgroup of former, current and never smokers (males and females) at high risk for developing lung cancer, based on their genetic susceptibility profiles, to estimate their lifetime probabilities of the disease, and to assess the potential mortality reduction that could be achieved by screening the high-risk group. METHODS: Case-control data (764 cases and 677 matched controls), on two assays of DNA damage and repair (mutagen susceptibility and DNA repair capacity, DRC) in different smoking categories were used to obtain estimates of susceptibility using the formula of total probability. The estimates were inserted into a model of lung cancer natural history and detection by screening to assess mortality reduction due to screening of high-risk individuals. RESULTS: The high-risk group was defined as that 12.5% of the population who were above the third quartile for bleomycin sensitivity and below the median for DRC. High-risk male current, former, and never smokers had lifetime probabilities for developing lung cancer of 38, 21, and 5%, respectively. Females had lower probabilities to develop lung cancer: 15, 8, and 1.5% for high-risk current, former, and never smokers, respectively. Screening of high-risk smokers (12.5% of all smokers) reduced overall mortality by 7% compared to 30% reduction if all smokers were screened. Analogous results were obtained for former and never smokers. CONCLUSIONS: Genetic susceptibility constitutes an important factor in the selection of a high-risk group for early lung cancer detection.

Full Text

Duke Authors

Cited Authors

  • Gorlova, OY; Amos, C; Henschke, C; Lei, L; Spitz, M; Wei, Q; Wu, X; Kimmel, M

Published Date

  • 2003

Published In

Volume / Issue

  • 56 / 1-3

Start / End Page

  • 139 - 145

PubMed ID

  • 14614248

Pubmed Central ID

  • 14614248

International Standard Serial Number (ISSN)

  • 0001-5652

Digital Object Identifier (DOI)

  • 10.1159/000073742


  • eng

Conference Location

  • Switzerland