2009
DOI: 10.1371/journal.pone.0005302
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Lung Cancer Susceptibility Model Based on Age, Family History and Genetic Variants

Abstract: BackgroundEpidemiological and pedigree studies suggest that lung cancer results from the combined effects of age, smoking, impaired lung function and genetic factors. In a case control association study of healthy smokers and lung cancer cases, we identified genetic markers associated with either susceptibility or protection to lung cancer.Methodology/Principal FindingsWe screened 157 candidate single nucleotide polymorphisms (SNP) in a discovery cohort of 439 subjects (200 controls and 239 lung cancer cases) … Show more

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Cited by 47 publications
(59 citation statements)
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“…Genetic variation may confer important effects on the expression of these effector molecules (e.g. CRP, IL-6 and IL-8) that then mediate the downstream effects on COPD [60] and lung cancer [45,61,62]. The heavy oxidant load derived from smoking has effects both locally in lung parenchyma and systemically on muscle function.…”
Section: Copd and Systemic Inflammationmentioning
confidence: 99%
“…Genetic variation may confer important effects on the expression of these effector molecules (e.g. CRP, IL-6 and IL-8) that then mediate the downstream effects on COPD [60] and lung cancer [45,61,62]. The heavy oxidant load derived from smoking has effects both locally in lung parenchyma and systemically on muscle function.…”
Section: Copd and Systemic Inflammationmentioning
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].…”
mentioning
confidence: 99%
“…This expansion of risk factors in predictive risk models beyond the traditional epidemiologic data has been elegantly pursued in cardiovascular diseases, wherein biological assay data and some genetic variants had been added into risk score models for prediction of absolute risk of cardiovascular disease (15,16). Similar efforts in cancer studies include addition of mammographic density data to the Gail model for breast cancer (17), inclusion of assay data for DNA repair capacity and mutagen sensitivity into the Spitz lung cancer risk models for former and current smokers (18), and recent combination of a panel of low-risk SNPs with demographic data to form a simple algorithm for lung cancer risk prediction (7).…”
Section: Discussionmentioning
confidence: 99%
“…Within the Liverpool Lung Project (LLP), we have previously developed and validated a predictive model for 5-year absolute risk of developing lung cancer for an individual with a specific combination of epidemiologic risk factors including smoking duration, previous diagnosis of pneumonia, prior diagnosis of malignant tumor, occupational exposure to asbestos, and family history of lung cancer (4). Recent advancement in genetic epidemiology leading to identification of genetic and molecular variants affecting the risk of disease means that genetic markers such as single-nucleotide polymorphisms (SNP) can be added to risk models for improved prediction of future risk of disease (5)(6)(7).…”
Section: Introductionmentioning
confidence: 99%