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代谢酶基因多态性、外暴露因素及其交互作用与肝癌易感性关系的研究
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摘要
目的:分析I相代谢酶基因(CYP2E1、CYP1A1)和II相代谢酶基因(GSTM1、EPHX1)的多态性与广西西南部地区人群中肝癌易感性的关系,并从基因-基因、基因-外暴露因素的角度,探讨代谢酶基因间以及各代谢酶基因与外暴露因素的交互作用效应,为肝癌的筛查及早期诊断寻找相关分子标志物,以及为有针对性地开展行为干预和化学预防提供一些线索。
     方法:采用病例-对照研究设计,包括肝癌病例102例,正常对照102例,研究对象均来自广西西南部地区,运用PCR和PCR-RFLP等实验技术,检测代谢酶基因的多态性;采用统计学软件SPSS16.0,用χ~2检验分析对照组中各代谢酶基因型的分布是否符合Hardy-Weinberg遗传平衡定律和CYP2E1、CYP1A1、EPHX1和GSTM1的基因型在病例组和对照组的分布及其与肝癌风险关系,用比值比(odds ratio,OR)及其95%可信区间(confidence intervals,CI)来表示相对危险度;采用基于相乘模型的叉生分析法分析基因-基因、基因-外暴露因素的交互作用。
     结果: 1、一般资料:病例组和对照组的年龄、性别、民族等分布差异无统计学意义(P>0.05)。
     2、外暴露因素的分布:饮酒、HBsAg携带情况在病例组和对照组的分布均有统计学意义(P<0.05),其OR(95%CI)分别为2.08(1.181~3.663)、20.833(9.882~43.922);而吸烟在肝癌病例组和对照组的分布差异没有统计学意义(P=0.093),其OR(95%CI)为1.606(0.923~2.792)。
     3、Hardy-Weinberg平衡检验:对照组中CYP2E1、CYP1A1和EPHX1等位基因频率分布均符合Hardy-Weinberg遗传平衡定律(P>0.05)。
     4、代谢酶基因多态的分布情况:
     (1)GSTM1 null、no-null基因型频率在肝癌病例组分别为52%、48%,在对照组分别为41.2%、58.8%,两组的分布差异没有统计学意义(χ~2=2.384,P=0.123)。
     (2)CYP2E1经RsaI酶切c1/c1、c1/c2、c2/c2基因型频率在肝癌病例组分别为61.8%、30.4%、7.8%,在对照组分别为55.9%、41.2%、2.9%,两组的分布差异没有统计学意义(χ~2=4.322,P=0.115)。
     (3)CYP1A1经MspI酶切所得IIe/IIe、IIe/Val、Val/Val基因型频率在肝癌病例组分别为34.3%、46.1%、19.6%,在对照组分别为43.1%、45.1%、11.8%,两组的分布差异没有统计学意义(χ~2=3.036,P=0.219)。
     (4)EPHX1经RsaI酶切所得His/His、His/Arg、Arg/Arg基因型频率在肝癌病例组分别为72.5%、25.5%、2%,在对照组分别为62.7%、37%、1%,两组的分布差异没有统计学意义(χ~2=2.966,P=0.226)。
     经校正后,各OR有增大趋势,但是差异均仍无统计学意义(P>0.05)。
     5、基因-基因的交互作用效应:
     (1)两两基因的联合:GSTM1与CYP2E1的联合、CYP2E1与CYP1A1的联合,交互作用均有统计学意义(P_(交互)分别为0.005和0.04),且均为协同作用(I>1)。其余基因的两两联合对肝癌的风险可能不存在统计学意义(P_(交互)>0.05)。
     (2)三个基因的联合: GSTMI、CYP2E1、CYP1A1三者联合,GSTMI、CYP2E1、EPHX1三者联合,EPHX1、CYP2E1、CYP1A1三者联合,存在有统计学意义的交互作用(P_(交互)分别为0.001、0.016和0.032);GSTMI、CYP1A1、EPHX1三者联合可能不存在有统计学意义的交互作用(P_(交互)=0.066),但是联合后的OR均有增大趋势。
     (3)四个基因的联合:把GSTM1null基因型、CYP2E1c1/c1基因型、CYP1A1IIe/Val或Val/Val突变基因型、EPHX1 His/His基因型视为危险因素,随着暴露因素的增加,个体患肝癌风险增大,差异有统计学意义(χ~2=13.064,P=0);携带GSTM1null基因型、CYP2E1c1/c1基因型、CYP1A1突变基因型且EPHX1 His/His基因型患肝癌的危险性是携带GSTM1 no-null基因型、EPHX1 His/Arg或Arg/Arg、CYP2E1c1/c2或c2/c2且CYP1A1 IIe/ IIe型的6.876倍,其95%CI为1.104~42.798。
     6、基因-外暴露因素的交互作用效应
     (1)饮酒联合GSTM1、CYP2E1、CYP1A1、EPHX1各代谢酶基因多态对肝癌的发生均存在明显的协同作用(P_(交互)均小于0.05,I均大于1)。
     (2)吸烟联合EPHX1基因多态对肝癌有明显的协同作用(P_(交互)=0.029,I>1);吸烟与CYP1A1基因多态的联合对肝癌的发生可能不存在有统计学意义的交互作用(P_(交互)=0.227),而吸烟联合GSTM1、CYP2E1各基因多态与肝癌交互作用的P_(交互)处于临界值。
     (3)HBsAg与GSTM1、CYP1A1、EPHX1各代谢酶基因多态对肝癌的发生均存在有明显的协同作用(P_(交互)均小于0.05,I均大于1),而HBsAg联合CYP2E1基因多态对肝癌可能不存在有统计学意义的交互作用(P_(交互)=0.305)。
     结论:GSTM1、CYP2E1、CYP1A1、EPHX1单一基因的多态性对肝癌可能没有效应或作用微弱,但是两种或两种以上基因多态联合或与外暴露因素的联合作用,患肝癌的风险性增强,而不同基因间的联合以及不同基因与外暴露因素的联合作用对肝癌的风险又不尽相同,因此,在探讨基因的易感作用时,应考虑基因-基因、基因-外暴露因素的关系,在肝癌筛查和防治工作中,应联合考虑相关分子标志物以及有针对性地开展行为干预和化学预防。
Objective: To study the relationship between genetic polymorphisms of phaseⅠ(CYP2E1、CYP1A1) and phaseⅡ(GSTM1、EPHX1) metabolizing enzymes and susceptibility to primary hepatocellular carcinoma (PHC) in southwest Guangxi province, and to find out whether there is gene-gene or gene-external exposure factors interaction between them. So as to provide a new route for screening and early diagnosis and making the integrated preventive measures for PHC in Guangxi Province.
     Methods: A case-control study was conducted, which included 102 Patients with PHC and 102 normal controls in southwest GuangXi subjects. Genetic polymorphisms of phaseⅠ(CYP2E1, CYP1A1) and phaseⅡ(GSTM1, EPHX1) were determined by Polymerase chain reaction(PCR) and Polymerase chain reaction restriction fragment length polymorphisms (PCR-RFLP). Statistics analysis adopt SPSS16.0 statistical package. Departure from Hardy-Weinberg Equilibrium (HWE) for polymorphism genotype in controls was tested by Chi-square test. The distribution differences of polymorphisms of CYP2E1, CYP1A1, GSTM1, EPHX1 and related risk between the case group and control group were analyzed by chi-square test. Crude and adjusted odds ratio (OR) and 95% confidence interval (CI) were used to evaluate associations between polymorphism genotype and PHC risk. Based on the multiplication model of crossover analysis and Logistic regression were used to analyze the relationship of gene-gene, gene-external exposure factors interaction. All statistical tests were two-sided withαis 0.05.
     Results: 1. There were no statistically differences in the distribution of age, sex , nationality between cases and controls, respectively (P>0.05).
     2. Hepatitis B infection, drinking showed significant difference between cases and controls (P < 0.05), OR(95%CI) were 2.08(1.181~3.663), 20.833(9.882~43.922), respectively. There was no statistically differences in the distribution of smoking between two groups (P>0.05).
     3. The genotype frequency distribution of CYP2E1, CYP1A1, EPHX1 were in accordance with the Hardy-Weinberg Equilibrium among the controls (P>0.05).
     4.(1) As for CYP2E1 genotype, frequencies of c1/c1, c1/c2, c2/c2 genotype were 61.8%, 30.4%, 7.8% in case group, 55.9%, 41.2%, 2.9% in control group respectively . The difference were no significant between two groups (χ~2=4.322,P=0.115).
     (2) As for CYP1A1 genotype, frequencies of IIe/IIe, IIe/Val, Val/Val genotype were 34.3%, 46.1%, 19.6% in case group, 43.1%, 45.1%, 11.8% in control group respectively. The difference were no significant between two groups (χ~2=3.036,P=0.219).
     (3) As for GSTM1 genotype, frequencies of null, no-null genotype were 52%, 48% in case group, 41.2%, 58.8% in control group respectively. The difference were no significant between two groups (χ~2=2.384,P=0.123).
     (4) The frequencies of polymorphism genotype of His/His, His/Arg, Arg/Arg of EPHX1 gene in patients with PHC were 72.5%, 25.5%, 2% respectively, which in the control group were 62.7%, 37%, 1% respectively. The difference were no significant between two groups(χ~2=2.966,P=0.226).
     5. Gene-gene interaction analytical results:
     (1) When combination both of CYP2E1, CYP1A1, GSTM1, EPHX1 genotype were analyzed, combination of the GSTM1, CYP2E1 and the CYP2E1, CYP1A1 were associated with the risk of PHC.
     (2) When combination every three of CYP2E1, CYP1A1, GSTM1, EPHX1 genotype were analyzed, except the combination of GSTMI, CYP1A1, EPHX1 might be not associated with the susceptibility of PHC, others were associated with the susceptibility of PHC.
     (3) When combination of polymorphism of CYP2E1, CYP1A1, GSTM1, EPHX1 genotype was analyzed, the risk of PHC was increased. And the risk of suffering PHC in individuals with CYP2E1c1/c1, CYP1A1(IIe/Val or Val/Val), EPHX1His/His, GSTM1null was 6.876 fold increase than that without any of them (95%CI was 1.104-42.789).
     6. Gene-external exposure factors interaction analytical results:
     (1) The combination of drinking and a single gene of CYP2E1, CYP1A1, GSTM1, EPHX1 are associated with the risk of PHC.
     (2) There was synergistic action between smoking and EPHX1 genotype on the risk of PHC (P=0.029). Smoking combined with CYP1A1 genotype might no synergistic action on the susceptibility of PHC (P=0.227). And no obvious interaction was observed in smoking combined with other genotype.
     (3) Interaction existed between CYP1A1 or GSTM1 or EPHX1 genotype and hepatitis B infection. Hepatitis B infection combined with CYP2E1 genotype might no synergistic action on the susceptibility of PHC (P=0.305).
     Conclusions:The Polymorphism of a single gene of CYP2E1, CYP1A1, GSTM1, EPHX1 might be not associated with the susceptibility of PHC, but when they combined with each other or combined with smoking or drinking; the risks of PHC were increased. These results suggest that gene-gene or gene-external exposure factors interaction play an importance role in the susceptibility of PHC, in addition, it necessary to take targeted preventive measures for PHC in Guangxi Province.
引文
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    [1] Reed J R, Eyer M, Backes W L. Functional interactions between cytochromes P450 1A2 and 2B4 require both enzymes to reside in the same phospholipid vesicle: evidence for physical complex formation[J]. J Biol Chem,2010,285(12):8942-8952.
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    [4] Chang T K, Chen J, Yang G, et al. Inhibition of procarcinogen-bioactivating human CYP1A1, CYP1A2 and CYP1B1 enzymes by melatonin[J]. J Pineal Res,2010,48(1):55-64.
    [5] Jaiswal A K, Gonzalez F J, Nebert D W. Human dioxin-inducible cytochrome P1-450: complementary DNA and amino acid sequence[J]. Science,1985,228(4695):80-83.
    [6] Nebert D W, Mckinnon R A, Puga A. Human drug-metabolizing enzyme polymorphisms: effects on risk of toxicity and cancer[J]. DNA Cell Biol,1996,15(4):273-280.
    [7]吴秀华,杨晓燕,段炜,等.细胞色素p450基因多态性与肝癌遗传易感性的关系[J].武警医学院学报,2007,16(1):47-48, 62页.
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