| Literature DB >> 23591849 |
Catherine A Wassenaar1, Qiong Dong, Christopher I Amos, Margaret R Spitz, Rachel F Tyndale.
Abstract
We explored the contribution of nitrosamine metabolism to lung cancer in a pilot investigation of genetic variation in CYP2B6, a high-affinity enzymatic activator of tobacco-specific nitrosamines with a negligible role in nicotine metabolism. Previously we found that variation in CYP2A6 and CHRNA5-CHRNA3-CHRNB4 combined to increase lung cancer risk in a case-control study in European American ever-smokers (n = 860). However, these genes are involved in the pharmacology of both nicotine, through which they alter smoking behaviours, and carcinogenic nitrosamines. Herein, we separated participants by CYP2B6 genotype into a high- vs. low-risk group (*1/*1 + *1/*6 vs. *6/*6). Odds ratios estimated through logistic regression modeling were 1.25 (95% CI 0.68-2.30), 1.27 (95% CI 0.89-1.79) and 1.56 (95% CI 1.04-2.31) for CYP2B6, CYP2A6 and CHRNA5-CHRNA3-CHRNB4, respectively, with negligible differences when all genes were evaluated concurrently. Modeling the combined impact of high-risk genotypes yielded odds ratios that rose from 2.05 (95% CI 0.39-10.9) to 2.43 (95% CI 0.47-12.7) to 3.94 (95% CI 0.72-21.5) for those with 1, 2 and 3 vs. 0 high-risk genotypes, respectively. Findings from this pilot point to genetic variation in CYP2B6 as a lung cancer risk factor supporting a role for nitrosamine metabolic activation in the molecular mechanism of lung carcinogenesis.Entities:
Mesh:
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Year: 2013 PMID: 23591849 PMCID: PMC3645749 DOI: 10.3390/ijms14048381
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Characteristics of study subjects and genotyping results.
| Cases, | Controls, | ||
|---|---|---|---|
| Mean Age (sd) | 61.9 (10.7) | 61.4 (7.4) | 0.20 |
| Sex, | |||
| Male | 236 (59) | 246 (58) | 0.80 |
| Female | 162 (41) | 175 (42) | |
| Smoking Status, | |||
| Current | 206 (52) | 196 (47) | 0.14 |
| Former | 192 (48) | 225 (53) | |
| FTND nicotine dependence score (sd) | 4.81 (2.28) | 4.81 (2.56) | 0.96 |
| No. cigarettes per day (sd) | 27.4 (13.2) | 26.8 (14.6) | 0.27 |
| Years smoked (sd) | 36.9 (12.3) | 35.6 (11.8) | 0.22 |
|
| |||
| 221 (56) | 240 (57) | 0.71 | |
| 157 (39) | 156 (37) | ||
| 20 (5) | 25 (6) | ||
|
| |||
| 326 (82) | 327 (78) | 0.13 | |
| 72 (18) | 94 (22) | ||
|
| |||
| 330 (83) | 372 (88) | 0.03 | |
| 68 (17) | 49 (12) | ||
sd: standard deviation;
FTND scores missing for 4 cases and 2 controls;
CYP2A6 RMs are those individuals with one or more reduced/null activity alleles (CYP2A6*2, *4, *9, *12), while CYP2A6 NMs have none of the alleles for which we genotyped;
CHRNA5-A3-B4 genotype represented by tag SNP rs1051730 G>A with the highest risk genotype for smoking intensity and lung cancer risk kept separate. p values were calculated with a chi-square test for categorical variables and a Wilcoxon ranksum test for continuous variables.
Figure 1(a) Lung cancer risk by CYP2B6, CYP2A6 and CHRNA5-A3-B4 genotype group for each gene alone (p = 0.47, 0.17 and 0.03); (b) each gene pair in combination (p = 0.18, 0.06 and 0.01); (c) all three genes in combination where participants were classified as having 0, 1, 2 or 3 high-risk genotypes and those with 0 high-risk genotypes served as the reference group (p = 0.40, 0.29 and 0.11); and (d) in the lighter-smoking stratum, cigarettes per day ≤ 20 (p = 0.39, 0.03 and 0.14). All odds ratios were determined by logistic regression modeling and adjusted for age, gender and log pack-years. Genotype comparisons were as follows: CYP2B6 *1/*1, *1/*6 vs. *6/*6, CYP2A6 normal vs. reduced metabolizer, CHRNA5-A3-B4 AA vs. GG/GA. *p ≤ 0.05. Refer to Supplementary Tables S1–S4 for subject numbers and unadjusted and adjusted lung cancer odds ratios for Figure 1A–D, respectively.