Literature DB >> 28182203

CYP2A6 genetic polymorphisms and biomarkers of tobacco smoke constituents in relation to risk of lung cancer in the Singapore Chinese Health Study.

Jian-Min Yuan1,2, Heather H Nelson3,4, Steven G Carmella3, Renwei Wang1, Jacquelyn Kuriger-Laber3, Aizhen Jin5, Jennifer Adams-Haduch1, Stephen S Hecht3, Woon-Puay Koh6,7, Sharon E Murphy3,8.   

Abstract

Cytochrome P450 2A6 (CYP2A6) catalyzes the metabolism of nicotine and the tobacco-specific lung carcinogen, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). Genetic variation in CYP2A6 may affect smoking behavior and contribute to lung cancer risk. A nested case-control study of 197 lung cancer cases and 197 matched controls was conducted within a prospective cohort of 63 257 Chinese men and women in Singapore. Quantified were five genetic variants of CYP2A6 (*1A, *4, *7, *9 and *12) and urinary metabolites of nicotine [total nicotine, total cotinine, total trans-3'-hydroxycotinine (3HC)] and NNK (total NNAL, free NNAL, NNAL-glucuronide, NNAL-N-glucuronide, and NNAL-O-glucuronide). Higher urinary metabolites of nicotine and NNK were significantly associated with a 2- to 3-fold increased risk of lung cancer after adjustment for smoking intensity and duration. Lower CYP2A6-determined nicotine metabolizer status was significantly associated with a lower ratio of total 3HC over total cotinine, lower total nicotine equivalent and reduced risk of developing lung cancer (all Ptrend < 0.001). Compared with normal metabolizers, odds ratios (95% confidence intervals) of developing lung cancer for intermediate, slow and poor metabolizers determined by CYP2A6 genotypes were 0.85 (0.41-1.77), 0.55 (0.28-1.08) and 0.32 (0.15-0.70), respectively, after adjustment for smoking intensity and duration and urinary total nicotine equivalents. Thus the reduced risk of lung cancer in smokers with lower CYP2A6 activity may be explained by lower consumption of cigarettes, less intense smoking and reduced CYP2A6-catalyzed activation of the tobacco-specific lung carcinogen NNK.
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Year:  2017        PMID: 28182203      PMCID: PMC6248819          DOI: 10.1093/carcin/bgx012

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  45 in total

1.  Frequency of CYP2A6 gene deletion and its relation to risk of lung and esophageal cancer in the Chinese population.

Authors:  W Tan; G F Chen; D Y Xing; C Y Song; F F Kadlubar; D X Lin
Journal:  Int J Cancer       Date:  2001-03-20       Impact factor: 7.396

2.  CYP2A13: variable expression and role in human lung microsomal metabolic activation of the tobacco-specific carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone.

Authors:  Xiuling Zhang; Jaime D'Agostino; Hong Wu; Qing-Yu Zhang; Linda von Weymarn; Sharon E Murphy; Xinxin Ding
Journal:  J Pharmacol Exp Ther       Date:  2007-08-01       Impact factor: 4.030

Review 3.  Cytochrome P450 enzymes as catalysts of metabolism of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone, a tobacco specific carcinogen.

Authors:  John R Jalas; Stephen S Hecht; Sharon E Murphy
Journal:  Chem Res Toxicol       Date:  2005-02       Impact factor: 3.739

4.  CYP2A6 reduced activity gene variants confer reduction in lung cancer risk in African American smokers--findings from two independent populations.

Authors:  Catherine A Wassenaar; Yuanqing Ye; Qiuyin Cai; Melinda C Aldrich; Joanne Knight; Margaret R Spitz; Xifeng Wu; William J Blot; Rachel F Tyndale
Journal:  Carcinogenesis       Date:  2014-11-21       Impact factor: 4.944

5.  CYP2A6 gene deletion reduces susceptibility to lung cancer.

Authors:  M Miyamoto; Y Umetsu; H Dosaka-Akita; Y Sawamura; J Yokota; H Kunitoh; N Nemoto; K Sato; N Ariyoshi; T Kamataki
Journal:  Biochem Biophys Res Commun       Date:  1999-08-11       Impact factor: 3.575

6.  The contribution of common CYP2A6 alleles to variation in nicotine metabolism among European-Americans.

Authors:  Joseph Bloom; Anthony L Hinrichs; Jen C Wang; Linda B von Weymarn; Evan D Kharasch; Laura J Bierut; Alison Goate; Sharon E Murphy
Journal:  Pharmacogenet Genomics       Date:  2011-07       Impact factor: 2.089

7.  Complete inhibition of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone-induced rat lung tumorigenesis and favorable modification of biomarkers by phenethyl isothiocyanate.

Authors:  S S Hecht; N Trushin; J Rigotty; S G Carmella; A Borukhova; S Akerkar; A Rivenson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1996-08       Impact factor: 4.254

8.  CYP2A6 and CYP2B6 genetic variation and its association with nicotine metabolism in South Western Alaska Native people.

Authors:  Matthew J Binnington; Andy Z X Zhu; Caroline C Renner; Anne P Lanier; Dorothy K Hatsukami; Neal L Benowitz; Rachel F Tyndale
Journal:  Pharmacogenet Genomics       Date:  2012-06       Impact factor: 2.089

9.  Dietary cryptoxanthin and reduced risk of lung cancer: the Singapore Chinese Health Study.

Authors:  Jian-Min Yuan; Daniel O Stram; Kazuko Arakawa; Hin-Peng Lee; Mimi C Yu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-09       Impact factor: 4.254

10.  Haplotypes with copy number and single nucleotide polymorphisms in CYP2A6 locus are associated with smoking quantity in a Japanese population.

Authors:  Natsuhiko Kumasaka; Masayuki Aoki; Yukinori Okada; Atsushi Takahashi; Kouichi Ozaki; Taisei Mushiroda; Tomomitsu Hirota; Mayumi Tamari; Toshihiro Tanaka; Yusuke Nakamura; Naoyuki Kamatani; Michiaki Kubo
Journal:  PLoS One       Date:  2012-09-25       Impact factor: 3.240

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  20 in total

1.  A Comparison of Direct and Indirect Analytical Approaches to Measuring Total Nicotine Equivalents in Urine.

Authors:  Taraneh Taghavi; Maria Novalen; Caryn Lerman; Tony P George; Rachel F Tyndale
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-05-31       Impact factor: 4.254

2.  Analysis and Identification of 2'-Deoxyadenosine-Derived Adducts in Lung and Liver DNA of F-344 Rats Treated with the Tobacco-Specific Carcinogen 4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanone and Enantiomers of its Metabolite 4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanol.

Authors:  Erik S Carlson; Pramod Upadhyaya; Peter W Villalta; Bin Ma; Stephen S Hecht
Journal:  Chem Res Toxicol       Date:  2018-04-19       Impact factor: 3.739

3.  Tobacco Dependence Predicts Higher Lung Cancer and Mortality Rates and Lower Rates of Smoking Cessation in the National Lung Screening Trial.

Authors:  Alana M Rojewski; Nichole T Tanner; Lin Dai; James G Ravenel; Mulugeta Gebregziabher; Gerard A Silvestri; Benjamin A Toll
Journal:  Chest       Date:  2018-05-21       Impact factor: 9.410

4.  Risk Assessment for Tobacco Regulation.

Authors:  Micah L Berman; Taleed El-Sabawi; Peter G Shields
Journal:  Tob Regul Sci       Date:  2019-01

5.  Effect of Charcoal in Cigarette Filters on Free Radicals in Mainstream Smoke.

Authors:  Reema Goel; Zachary T Bitzer; Samantha M Reilly; Gurkirat Bhangu; Neil Trushin; Ryan J Elias; Jonathan Foulds; Joshua Muscat; John P Richie
Journal:  Chem Res Toxicol       Date:  2018-07-20       Impact factor: 3.739

6.  Induction via Functional Protein Stabilization of Hepatic Cytochromes P450 upon gp78/Autocrine Motility Factor Receptor (AMFR) Ubiquitin E3-Ligase Genetic Ablation in Mice: Therapeutic and Toxicological Relevance.

Authors:  Doyoung Kwon; Sung-Mi Kim; Peyton Jacob; Yi Liu; Maria Almira Correia
Journal:  Mol Pharmacol       Date:  2019-09-06       Impact factor: 4.436

7.  Dual Users Compared to Smokers: Demographics, Dependence, and Biomarkers.

Authors:  Megan E Piper; Timothy B Baker; Neal L Benowitz; Kate H Kobinsky; Douglas E Jorenby
Journal:  Nicotine Tob Res       Date:  2019-08-19       Impact factor: 4.244

8.  Alkylating and oxidative stresses in smoking and non-smoking patients with COPD: Implications for lung carcinogenesis.

Authors:  Ying-Ming Shih; Yuan-Jhe Chang; Marcus S Cooke; Chih-Hong Pan; Ching-Hsuan Hu; Mu-Rong Chao; Chiung-Wen Hu
Journal:  Free Radic Biol Med       Date:  2021-01-05       Impact factor: 7.376

Review 9.  Pharmacogenetics factors influencing smoking cessation success; the importance of nicotine metabolism.

Authors:  Yadira X Perez-Paramo; Philip Lazarus
Journal:  Expert Opin Drug Metab Toxicol       Date:  2020-12-29       Impact factor: 4.481

10.  Applying Tobacco, Environmental, and Dietary-Related Biomarkers to Understand Cancer Etiology and Evaluate Prevention Strategies.

Authors:  Lisa A Peterson; Silvia Balbo; Naomi Fujioka; Dorothy K Hatsukami; Stephen S Hecht; Sharon E Murphy; Irina Stepanov; Natalia Y Tretyakova; Robert J Turesky; Peter W Villalta
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-12       Impact factor: 4.254

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