BACKGROUND: Epidemiological and family studies suggest that lung cancer results from the combined effects of age, smoking and genetic factors. Chronic obstructive pulmonary disease (COPD) is also an independent risk factor for lung cancer and coexists in 40-60% of lung cancer cases. METHODS: In a two-stage case-control association study, genetic markers associated with either susceptibility or protection against lung cancer were identified. In a test cohort of 439 Caucasian smokers or ex-smokers, consisting of healthy smokers and lung cancer cases, 157 candidate single nucleotide polymorphisms (SNPs) were screened. From this, 30 SNPs were identified, the genotypes (codominant or recessive model) of which were associated with either the healthy smokers (protective) or lung cancer (susceptibility) phenotype. After genotyping of this 30-SNP panel in a second validation cohort of 491 subjects and using the same protective and susceptibility genotypes from our test cohort, a 20-SNP panel was selected on the basis of independent univariate analyses. RESULTS: Using multivariate logistic regression, including the 20 SNPs, it was also found that age, history of COPD, family history of lung cancer and gender were significantly and independently associated with lung cancer. CONCLUSIONS: When numeric scores were assigned to both the SNP and demographic data, and sequentially combined by a simple algorithm in a risk model, the composite score was found to be linearly related to lung cancer risk with a bimodal distribution. Genetic data may therefore be combined with other risk variables from smokers or ex-smokers to identify individuals who are most susceptible to developing lung cancer.
BACKGROUND: Epidemiological and family studies suggest that lung cancer results from the combined effects of age, smoking and genetic factors. Chronic obstructive pulmonary disease (COPD) is also an independent risk factor for lung cancer and coexists in 40-60% of lung cancer cases. METHODS: In a two-stage case-control association study, genetic markers associated with either susceptibility or protection against lung cancer were identified. In a test cohort of 439 Caucasian smokers or ex-smokers, consisting of healthy smokers and lung cancer cases, 157 candidate single nucleotide polymorphisms (SNPs) were screened. From this, 30 SNPs were identified, the genotypes (codominant or recessive model) of which were associated with either the healthy smokers (protective) or lung cancer (susceptibility) phenotype. After genotyping of this 30-SNP panel in a second validation cohort of 491 subjects and using the same protective and susceptibility genotypes from our test cohort, a 20-SNP panel was selected on the basis of independent univariate analyses. RESULTS: Using multivariate logistic regression, including the 20 SNPs, it was also found that age, history of COPD, family history of lung cancer and gender were significantly and independently associated with lung cancer. CONCLUSIONS: When numeric scores were assigned to both the SNP and demographic data, and sequentially combined by a simple algorithm in a risk model, the composite score was found to be linearly related to lung cancer risk with a bimodal distribution. Genetic data may therefore be combined with other risk variables from smokers or ex-smokers to identify individuals who are most susceptible to developing lung cancer.
Authors: Joel L Weissfeld; Yan Lin; Hui-Min Lin; Brenda F Kurland; David O Wilson; Carl R Fuhrman; Arjun Pennathur; Marjorie Romkes; Tomoko Nukui; Jian-Min Yuan; Jill M Siegfried; Brenda Diergaarde Journal: J Thorac Oncol Date: 2015-11 Impact factor: 15.609
Authors: Mariza de Andrade; Yan Li; Randolph S Marks; Claude Deschamps; Paul D Scanlon; Curtis L Olswold; Ruoxiang Jiang; Stephen J Swensen; Zhifu Sun; Julie M Cunningham; Jason A Wampfler; Andrew H Limper; David E Midthun; Ping Yang Journal: Cancer Prev Res (Phila) Date: 2011-11-01
Authors: Juan P de-Torres; David O Wilson; Pablo Sanchez-Salcedo; Joel L Weissfeld; Juan Berto; Arantzazu Campo; Ana B Alcaide; Marta García-Granero; Bartolome R Celli; Javier J Zulueta Journal: Am J Respir Crit Care Med Date: 2015-02-01 Impact factor: 21.405
Authors: Shama C Buch; Brenda Diergaarde; Tomoko Nukui; Roger S Day; Jill M Siegfried; Marjorie Romkes; Joel L Weissfeld Journal: Mol Carcinog Date: 2011-10-04 Impact factor: 4.784
Authors: Antonio Gutierrez; Robert Suh; Fereidoun Abtin; Scott Genshaft; Kathleen Brown Journal: Semin Intervent Radiol Date: 2013-06 Impact factor: 1.513
Authors: Margaret R Spitz; Christopher I Amos; Susan Land; Xifeng Wu; Qiong Dong; Angela S Wenzlaff; Ann G Schwartz Journal: J Thorac Oncol Date: 2013-04 Impact factor: 15.609