Interaction research on smoking and microRNA genes SNP related to lung cancer in Fujian Han population

Abstract

To investigate the interaction on smoking and the lung cancer related genes miR-196a2 rs11614913, miR-146a rs2910164, miR-300 rs12894467, miR-26a-1 rs7372209, miR-27a rs895819 in Fujian Han population. From January 2006 to January 2012, by using a hospital-based case-control study, 1 053 cases were pathologically diagnosed as primary lung cancer from the Department of Thoracic Surgery and 1 058 controls were randomly selected from the visiting relatives of patients and visiting people of Cangxia community health service of Fuzhou city according to match with age and genders. They were recruited for questionnaires survey and genotyping detection. Research objects of genders, height, weight, cultural degree, marital status, family history of cancer, lung disease history, smoking, drinking tea, drinking, and so on. After informed consent, we collected 5 ml fasting venous blood from every object, used MALDI-TOF-MS to analysis genotyping of polymorphic loci. Logistic regression model was constructed by using SNP as independent variable, and the multiple factors were constructed with different loci. The possible association between SNP and cigarette smoking was analyzed by using the crossover analysis. The relative excess risk of interaction (RERI) were used to analyze on smoking and SNP loci additive interaction of dominant and recessive genetic models. Smokers in case group who smoked P50(P25-P75)30.00 (0.00-56.00) packages in a year were higher than control group (0.00(0.00 - 20.48) pack years) (Z=14.57,P<0.001). Passive smoking index for non-smokers was 11.40(0.00-25.00), higher than the controls (0.00(0.00-13.11)) (Z=10.71,P<0.001). Site detection rate of rs11614913, rs2910164, rs12894467, rs7372209 and rs895819 in cases was 95.82%(1 009/1 053), 97.72%(1 029/1 053), 97.82% (1 030/1 053), 97.15% (1 023/1 053) and 96.01% (1 011/1 053) respectively. The controls were 98.11% (1 038/1 058), 98.96% (1 047/1 058), 98.30% (1 040/1 058), 98.68% (1 044/1 058) and 98.02% (1 037/1 058) respectively. rs11614913 dominant genetic model, TT genotype and smoking could increase the risk of primary lung cancer (OR=4.04, 95%CI: 2.67 -6.12). Recessive genetic model, CC genotype and smoking increased the incidence of primary lung cancer risk (OR=4.76, 95%CI: 3.16 -7.17). rs12894467 dominant genetic model, TT genotype and smoking could increase the risk (OR=2.98, 95%CI: 2.28 -3.90) in primary lung cancer. In recessive genetic model, CC genotype and smoking increased the incidence of primary lung cancer risk (OR=1.94, 95% CI: 1.10-3.43). Dominant genetic model of rs2910164, CC genotype and smoking could increase the risk (OR=2.18, 95% CI: 1.60 -2.98) in primary lung cancer. Recessive genetic model, GG genotype and smoking increased the incidence of primary lung cancer risk (OR=3.29, 95% CI: 2.16 -5.03). Especially rs12894467 dominant and recessive gene model and genders, smoking and there were combined effects(χ(2)=8.58, P=0.003; χ(2)=4.76, P=0.040). Rs11614913, rs12894467 and rs2910164 polymorphism were potentially associated with primary lung cancer in Fujian Han population.