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Application of molecular epidemiology to lung cancer chemoprevention.

Abstract
Molecular epidemiology has made great progress in detecting and documenting carcinogenic exposures and host susceptibility factors, in an effort to explain interindividual variation in disease. Interindividual differences in cancer risk have been hypothesized to result from an array of both genetic and acquired factors including nutritional status. Elevated risk of lung cancer has been associated with polymorphisms of metabolic genes such as CYP1A1 and GSTM1. On the other hand, numerous studies have demonstrated that diets rich in fruits and vegetables are protective against cancer, and have correlated high levels of antioxidants in the blood with decreased risk. As a first step in identifying susceptible individuals, we have assessed the combined effect of genetic factors and nutritional status on DNA adducts in a population of healthy smokers. Plasma retinol, beta-carotene, alpha-tocopherol, and zeaxanthin were inversely correlated with DNA damage, especially in subjects lacking the "protective" GSTM1 gene. Research is ongoing using biomarkers to determine the effect of supplementation with antioxidants/vitamins on DNA damage, especially in population subsets with putative "at risk" genotypes. Information on mechanisms of interactions between exposure, micronutrients, and other susceptibility factors is important in the development of effective practical interventions.
AuthorsL A Mooney, F P Perera
JournalJournal of cellular biochemistry. Supplement (J Cell Biochem Suppl) Vol. 25 Pg. 63-8 ( 1996) ISSN: 0733-1959 [Print] United States
PMID9027600 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, P.H.S., Review)
Chemical References
  • Anticarcinogenic Agents
  • Biomarkers, Tumor
  • Carcinogens
  • Benzo(a)pyrene
  • DNA
Topics
  • Anticarcinogenic Agents (therapeutic use)
  • Benzo(a)pyrene (metabolism)
  • Biomarkers, Tumor (analysis)
  • Carcinogens (metabolism)
  • Clinical Trials as Topic (methods)
  • DNA (metabolism)
  • Disease Susceptibility
  • Humans
  • Lung Neoplasms (epidemiology, genetics, prevention & control)
  • Models, Biological
  • Molecular Epidemiology
  • Risk Factors
  • Smoking

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