Article
Genetic polymorphisms in 15q25 and 19q13 loci, cotinine levels, and risk of lung cancer in EPIC.
International Agency for Research on Cancer, Lyon, France.
Cancer Epidemiology Biomarkers & Prevention (impact factor:
4.12).
08/2011;
20(10):2250-61.
DOI:10.1158/1055-9965.EPI-11-0496
pp.2250-61
Source: PubMed
- Citations (37)
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Cited In (0)
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Article: At least one in seven cases of cancer is caused by smoking. Global estimates for 1985.
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ABSTRACT: Tobacco smoking is accepted as a major cause of cancers of the lung, larynx, oral cavity and pharynx, oesophagus, pancreas, kidney and bladder. The proportions of these cancers that are due to smoking were estimated for the year 1985 for 24 areas of the world. Fifteen percent--1.1 million new cases per year--of all cancer cases are attributed to cigarette smoking, 25% in men and 4% in women. In developed countries, the tobacco burden is estimated at 16% of all annual incident cases. In developing countries, the corresponding figure is 10%. In total, 85% of the 676,000 cases of lung cancer in men are attributable to tobacco smoking. The highest attributable fractions (AF: 90-93%) are estimated in areas where the habit of cigarette smoking in men has been longest established: North America, Europe, Australia/New Zealand and the former USSR. Among the other 6 cancer sites considered in this analysis, those with the largest fractions of tobacco-related cases are the larynx, mouth and pharynx (excluding nasopharynx) and oesophagus. In regions where males have smoked for several decades, 30 to 40% of all cancers in this sex are attributable to tobacco. Unless tobacco-control efforts in developing countries are strengthened, the massive rise in cigarette consumption over the last few decades will produce a comparable rise in cancer in these countries within the next 20 to 30 years.International Journal of Cancer 12/1994; 59(4):494-504. · 5.44 Impact Factor -
Article: The accuracy of self-reported smoking: a systematic review of the relationship between self-reported and cotinine-assessed smoking status.
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ABSTRACT: Smoking is a leading cause of premature mortality and preventable morbidity. Surveillance is most often based on self-reported data, but studies have shown that self-reports tend to underestimate smoking status. This study systematically reviewed the literature to measure the concordance between self-reported smoking status and smoking status determined through measures of cotinine in biological fluids. Four electronic databases were searched to identify observational and experimental studies on adult populations over the age of 18 years. Searching identified 67 studies that met the eligibility criteria and examined the relationship between self-reported smoking and smoking confirmed by cotinine measurement. Overall, the data show trends of underestimation when smoking prevalence is based on self-report and varying sensitivity levels for self-reported estimates depending on the population studied and the medium in which the biological sample is measured. Sensitivity values were consistently higher when cotinine was measured in saliva instead of urine or blood. Meta-analysis was not appropriate because of the substantial heterogeneity among the cutpoints used to define smokers and the poor reporting on outcomes of interest. Further research in this field would benefit from the standardization of cutpoints to define current smokers and the implementation of standard reporting guidelines to enhance comparability across studies. Accurate estimation of smoking status is important as data from population studies such as those included in this review are used to generate regional and national estimates of smoking status and in turn are used to allocate resources and set health priorities.Nicotine & Tobacco Research 02/2009; 11(1):12-24. · 2.58 Impact Factor -
Article: Saliva cotinine and recent smoking--evidence for a nonlinear relationship.
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ABSTRACT: Cotinine concentration in various body fluids is considered to be among the most useful markers of nicotine exposure currently available. Despite the prevailing consensus concerning cotinine's usefulness, cotinine's large intrasubject variability has led some to question the value of a single-point measurement. Several individual differences (for example, age, race, sex, and so forth) may affect cotinine excretion, and a peculiar nonlinearity between the number of cigarettes smoked and cotinine concentration has been reported previously in the literature. The purpose of this investigation was to examine the nature of the association between cotinine and reported number of cigarettes smoked after adjustment for the relationship between cotinine and age, a key individual difference known to affect drug absorption, distribution, metabolism, excretion, and tissue sensitivity. The authors examined the relationship between saliva cotinine and daily cigarette consumption in 116 smokers (mean age = 37.4 years; average number of cigarettes smoked daily = 20.1) who logged each cigarette into a hand-held computer as part of a study on the accuracy of recall. The Pearson correlation between saliva cotinine and the logged number of cigarettes smoked in the previous 17 hours (the time window corresponding to the half-life of cotinine) accounted for significantly more of the variance in cotinine than did the average logged number of cigarettes smoked daily during 5 days. Age was also significantly associated with cotinine levels. Further examination of the relationship between cotinine and amount smoked in the previous 17 hours revealed evidence for a significant nonlinear component. Inclusion of both age and a cubic nonlinear component of daily cigarette consumption resulted in further significant improvement in the amount of variance accounted for in cotinine levels. These results suggest that adjustments forage and the inclusion of a nonlinear component for cigarette consumption will result in more precise use of cotinine as a validation tool for existing differences in smoking levels.Public Health Reports 108(6):779-83. · 1.27 Impact Factor
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Keywords
10 polymorphisms
Circulating levels
cotinine
cotinine levels
cotinine measures
European Prospective Investigation
genetic variants influencing smoking behavior
genome-wide association studies
genotyped
largest
lung cancer
lung cancer case-control study nested
lung cancer risk
Multiple polymorphisms
nicotine metabolite cotinine
nicotinic acetylcholine receptor subunit genes CHRNA5
Nutrition
recent smoking behavior
recent smoking exposure
smoking behavior