2009
DOI: 10.1136/pgmj.2008.077107
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A gene-based risk score for lung cancer susceptibility in smokers and ex-smokers

Abstract: 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… Show more

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Cited by 54 publications
(83 citation statements)
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References 67 publications
(121 reference statements)
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“…First, predictive risk models for lung cancer should include COPD as a risk variable and/or incorporate these overlapping genetic markers [13,14]. Second, chemopreventive therapy targeting pathogenic pathways common to both COPD and lung cancer might confer considerable benefit to smokers and/or ex-smokers.…”
Section: Discussionmentioning
confidence: 99%
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“…First, predictive risk models for lung cancer should include COPD as a risk variable and/or incorporate these overlapping genetic markers [13,14]. Second, chemopreventive therapy targeting pathogenic pathways common to both COPD and lung cancer might confer considerable benefit to smokers and/or ex-smokers.…”
Section: Discussionmentioning
confidence: 99%
“…The heritability of COPD and lung cancer is estimated to be 40-77% and 15-25%, respectively [11,12]. These findings suggest some smokers susceptible to COPD might also be susceptible to lung cancer and that some of the genetic factors conferring this dual susceptibility might overlap [13][14][15]. Recent interest in lung cancer has focused on the role of smoking in epithelial-mesenchymal transition (EMT) [16], a process driven by release of growth factors and matrix metalloproteinases during lung remodelling and repair [17,18].…”
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confidence: 99%
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“…This is currently undergoing further validation in the NLST. We conclude that the optimal target population for CT screening of lung cancer can be identified by risk models that include clinical variables indicative of COPD (1,3,5). …”
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confidence: 99%