Literature DB >> 27488534

Novel Association of Genetic Markers Affecting CYP2A6 Activity and Lung Cancer Risk.

Yesha M Patel1, Sunghim L Park1, Younghun Han2, Lynne R Wilkens3, Heike Bickeböller4, Albert Rosenberger4, Neil Caporaso5, Maria Teresa Landi5, Irene Brüske6, Angela Risch7, Yongyue Wei8, David C Christiani9, Paul Brennan10, Richard Houlston11, James McKay10, John McLaughlin12, Rayjean Hung13, Sharon Murphy14, Daniel O Stram1, Christopher Amos2, Loïc Le Marchand15.   

Abstract

Metabolism of nicotine by cytochrome P450 2A6 (CYP2A6) is a suspected determinant of smoking dose and, consequently, lung cancer risk. We conducted a genome-wide association study (GWAS) of CYP2A6 activity, as measured by the urinary ratio of trans-3'-hydroxycotinine and its glucuronide conjugate over cotinine (total 3HCOT/COT), among 2,239 smokers in the Multiethnic Cohort (MEC) study. We identified 248 CYP2A6 variants associated with CYP2A6 activity (P < 5 × 10-8). CYP2A6 activity was correlated (r = 0.32; P < 0.0001) with total nicotine equivalents (a measure of nicotine uptake). When we examined the effect of these variants on lung cancer risk in the Transdisciplinary Research in Cancer of the Lung (TRICL) consortium GWAS dataset (13,479 cases and 43,218 controls), we found that the vast majority of these individual effects were directionally consistent and associated with an increased lung cancer risk. Two hundred and twenty-six of the 248 variants associated with CYP2A6 activity in the MEC were available in TRICL. Of them, 81% had directionally consistent risk estimates, and six were globally significantly associated with lung cancer. When conditioning on nine known functional variants and two deletions, the top two SNPs (rs56113850 in MEC and rs35755165 in TRICL) remained significantly associated with CYP2A6 activity in MEC and lung cancer in TRICL. The present data support the hypothesis that a greater CYP2A6 activity causes smokers to smoke more extensively and be exposed to higher levels of carcinogens, resulting in an increased risk for lung cancer. Although the variants identified in these studies may be used as risk prediction markers, the exact causal variants remain to be identified. Cancer Res; 76(19); 5768-76. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27488534      PMCID: PMC5050097          DOI: 10.1158/0008-5472.CAN-16-0446

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


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7.  Low expression of developing brain homeobox 2 (Dbx2) may serve as a biomarker to predict poor prognosis in endometrial cancer.

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