Effect of Occupational Exposures on Lung Cancer Susceptibility: A Study of Gene-Environment Interaction Analysis

被引:15
作者
Malhotra, Jyoti [1 ]
Sartori, Samantha [1 ]
Brennan, Paul [2 ]
Zaridze, David [3 ]
Szeszenia-Dabrowska, Neonila [4 ]
Swiatkowska, Beata [4 ]
Rudnai, Peter [5 ]
Lissowska, Jolanta [6 ]
Fabianova, Eleonora [7 ]
Mates, Dana [8 ]
Bencko, Vladimir [9 ]
Gaborieau, Valerie [2 ]
Stuecker, Isabelle [10 ]
Foretova, Lenka [11 ,12 ]
Janout, Vladimir [13 ]
Boffetta, Paolo [1 ]
机构
[1] Icahn Sch Med Mt Sinai, New York, NY 10029 USA
[2] Int Agcy Res Canc, F-69372 Lyon, France
[3] Russian Canc Res Ctr, Moscow, Russia
[4] Nofer Inst Occupat Med, Dept Epidemiol, Lodz, Poland
[5] Natl Inst Environm Hlth, Budapest, Hungary
[6] M Sklodowska Curie Mem Canc Ctr & Inst Oncol, Warsaw, Poland
[7] Specialized State Hlth Inst, Dept Occupat Hlth, Banska Bystrica, Slovakia
[8] Natl Inst Publ Hlth, Bucharest, Romania
[9] Charles Univ Prague, Fac Med 1, Inst Hyg & Epidemiol, Prague, Czech Republic
[10] INSERM, Ctr Res Epidemiol & Populat Hlth, Villejuif, France
[11] Masaryk Mem Canc Inst, Dept Canc Epidemiol & Genet, Brno, Czech Republic
[12] MF MU Brno, Brno, Czech Republic
[13] Palacky Univ, Fac Med, Dept Prevent Med, CR-77147 Olomouc, Czech Republic
关键词
GENOME-WIDE ASSOCIATION; ENRICHMENT ANALYSIS; WHOLE-GENOME; RISK; LOCUS; SET; POLYMORPHISM; POPULATIONS; SMOKING; DISEASE;
D O I
10.1158/1055-9965.EPI-14-1143-T
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Occupational exposures are known risk factors for lung cancer. Role of genetically determined host factors in occupational exposure-related lung cancer is unclear. Methods: We used genome-wide association (GWA) data from a case-control study conducted in 6 European countries from 1998 to 2002 to identify gene-occupation interactions and related pathways for lung cancer risk. GWA analysis was performed for each exposure using logistic regression and interaction term for genotypes, and exposure was included in this model. Both SNP-based and gene-based interaction P values were calculated. Pathway analysis was performed using three complementary methods, and analyses were adjusted for multiple comparisons. We analyzed 312,605 SNPs and occupational exposure to 70 agents from 1,802 lung cancer cases and 1,725 cancer-free controls. Results: Mean age of study participants was 60.1 +/- 9.1 years and 75% were male. Largest number of significant associations (P <= 1 x 10(-5)) at SNP level was demonstrated for nickel, brick dust, concrete dust, and cement dust, and for brick dust and cement dust at the gene-level (P <= 1 x 10(-4)). Approximately 14 occupational exposures showed significant gene-occupation interactions with pathways related to response to environmental information processing via signal transduction (P < 0.001 and FDR < 0.05). Other pathways that showed significant enrichment were related to immune processes and xenobiotic metabolism. Conclusion: Our findings suggest that pathways related to signal transduction, immune process, and xenobiotic metabolism may be involved in occupational exposure-related lung carcinogenesis. Impact: Our study exemplifies an integrative approach using pathway-based analysis to demonstrate the role of genetic variants in occupational exposure-related lung cancer susceptibility. (c) 2015 AACR.
引用
收藏
页码:570 / 579
页数:10
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