ABSTRACT
OBJECTIVES AND METHODS: Risks of oral cancer related to a CA microsatellite repeat polymorphism in intron 1 of the epidermal growth factor receptor (EGFR) gene and a TaqI polymorphism in the transforming growth factor-alpha (TGFA) gene were evaluated in a population-based case-control study consisting of 157 cases and 149 controls recruited in Puerto Rico. RESULTS: Carriers of > or = 16 CA repeats in EGFR showed a 1.9-fold increased risk for oral cancer (OR=1.9, 95% CI=1.0-3.5). Risks also tended to increase with decreasing number of alleles with > or = 16 CA repeats (P for trend=0.06). Our data suggested a non-significant reduction in risk for subjects heterozygous for the TGFA polymorphism (OR=0.6, 95% CI=0.2-1.3). CONCLUSIONS: The EGFR-associated risk appeared to be independent of tobacco and alcohol use and may be restricted primarily to subjects who consumed low amounts of fresh fruits and vegetables (OR=5.9, 95%CI: 2.3-15.2). These data implicate dietary and molecular targets for oral cancer prevention.
Subject(s)
Genes, erbB-1/genetics , Microsatellite Repeats/genetics , Mouth Neoplasms/genetics , Polymorphism, Genetic , Transforming Growth Factor alpha/genetics , Adult , Aged , Alcoholic Beverages , Case-Control Studies , Female , Fruit , Humans , Male , Middle Aged , Mouth Neoplasms/epidemiology , Puerto Rico/epidemiology , Risk Factors , Smoking , VegetablesABSTRACT
An icon-calendar interview form (ICF) for a case-control study of childhood leukemias and parental exposures to pesticides is described. It includes calendar sheets, icons for life events, crops, jobs, regions, non-agricultural jobs, application techniques and personal protection, markers for durations of exposure patterns, and checklists of pesticides. The ICF collects monthly data from two years before birth until diagnosis of cancer (index children) or until either the interview date or age 15 (controls). Data ascertainment was easy in 62% of interviews, moderately easy in 32%, and difficult in 6%. Seventy-eight subjects delivered data on specific pesticides with pesticide checklists, which improved identification of pesticides. ICF performs satisfactorily for crops, tasks, and other determinants of exposure. Data on pesticides will be further improved by introducing external data use on different crops, time periods, and regions, and by exposure modeling for 27 pesticides.