A prospective and retrospective analysis of smoking behavior changes in ever smokers with high risk for lung cancer from New Mexico and Pennsylvania

Shuguang Leng, Joel L. Weissfeld, Maria A. Picchi, Mindi A. Styn, Eric D. Claus, Vincent P. Clark, Guodong Wu, Cynthia L. Thomas, Frank D. Gilliland, Jianmin Yuan, Jill M. Siegfried, Steven A. Belinsky

Research output: Contribution to journalArticlepeer-review

Abstract

Cigarette smoking is the leading preventable cause of death worldwide. The aim of this study is to conduct a prospective and retrospective analysis of smoking behavior changes in the Lovelace Smokers Cohort (LSC) and the Pittsburgh Lung Screening Study cohort (PLuSS). Area under the curve (AUC) for risk models predicting relapse based on demographic, smoking, and relevant clinical variables was 0.93 and 0.79 in LSC and PLuSS, respectively. The models for making a quit attempt had limited prediction ability in both cohorts (AUC≤0.62). We identified an ethnic disparity in adverse smoking behavior change that Hispanic smokers were less likely to make a quit attempt and were more likely to relapse after a quit attempt compared to non-Hispanic Whites. SNPs at 15q25 and 11p14 loci were associated with risk for smoking relapse in the LSC. Rs6495308 at 15q25 has a large difference in minor allele frequency between non-Hispanic Whites and Hispanics (0.46 versus 0.23, P<0.0001) and was associated with risk for ever relapse at same magnitude between the two ethnic groups (OR=1.36, 95% CI=1.10 to 1.67 versus 1.59, 95% CI=1.00 to 2.53, P=0.81). In summary, the risk prediction model established in LSC and PLuSS provided an excellent to outstanding distinguishing for abstainers who will or will not relapse. The ethnic disparity in adverse smoking behavior between Hispanics and non-Hispanic Whites may be at least partially explained by the sequence variants at 15q25 locus that contains multiple nicotine acetylcholine receptors.

Original languageEnglish (US)
Pages (from-to)95-104
Number of pages10
JournalInternational Journal of Molecular Epidemiology and Genetics
Volume7
Issue number2
StatePublished - 2016

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Genetics
  • Genetics(clinical)

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