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胆囊癌易感性:DNA 修复、凋亡和炎症通路基因的多基因方法。

Gallbladder cancer predisposition: a multigenic approach to DNA-repair, apoptotic and inflammatory pathway genes.

机构信息

Department of Genetics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India.

出版信息

PLoS One. 2011 Jan 21;6(1):e16449. doi: 10.1371/journal.pone.0016449.

Abstract

Gallbladder cancer (GBC) is a multifactorial disease with complex interplay between multiple genetic variants. We performed Classification and Regression Tree Analysis (CART) and Grade of Membership (GoM) analysis to identify combinations of alleles among the DNA repair, inflammatory and apoptotic pathway genetic variants in modifying the risk for GBC. We analyzed 16 polymorphisms in 8 genes involved in DNA repair, apoptotic and inflammatory pathways to find out combinations of genetic variants contributing to GBC risk. The genes included in the study were XRCC1, OGG1, ERCC2, MSH2, CASP8, TLR2, TLR4 and PTGS2. Single locus analysis by logistic regression showed association of MSH2 IVS1+9G>C (rs2303426), ERCC2 Asp312Asn (rs1799793), OGG1 Ser326Cys (rs1052133), OGG1 IVS4-15C>G (rs2072668), CASP8 -652 6N ins/del (rs3834129), PTGS2 -1195G>A (rs689466), PTGS2 -765G>C (rs20417), TLR4 Ex4+936C>T (rs4986791) and TLR2 -196 to -174del polymorphisms with GBC risk. The CART analysis revealed OGG1 Ser326Cys, and OGG1 IVS4-15C>G polymorphisms as the best polymorphic signature for discriminating between cases and controls. In the GoM analysis, the data was categorized into six sets representing risk for GBC with respect to the investigated polymorphisms. Sets I, II and III described low intrinsic risk (controls) characterized by multiple protective alleles while sets IV, V and VI represented high intrinsic risk groups (GBC cases) characterized by the presence of multiple risk alleles. The CART and GoM analyses also showed the importance of PTGS2 -1195G>A polymorphism in susceptibility to GBC risk. In conclusion, the present multigenic approach can be used to define individual risk profiles for gallbladder cancer in North Indian population.

摘要

胆囊癌(GBC)是一种多因素疾病,多种遗传变异之间存在复杂的相互作用。我们进行了分类和回归树分析(CART)和会员等级(GoM)分析,以确定 DNA 修复、炎症和凋亡途径遗传变异中的等位基因组合,从而改变 GBC 的风险。我们分析了 8 个基因中涉及 DNA 修复、凋亡和炎症途径的 16 个多态性,以找出导致 GBC 风险的遗传变异组合。研究中包括的基因有 XRCC1、OGG1、ERCC2、MSH2、CASP8、TLR2、TLR4 和 PTGS2。通过逻辑回归进行单基因座分析表明,MSH2 IVS1+9G>C(rs2303426)、ERCC2 Asp312Asn(rs1799793)、OGG1 Ser326Cys(rs1052133)、OGG1 IVS4-15C>G(rs2072668)、CASP8-652 6N ins/del(rs3834129)、PTGS2-1195G>A(rs689466)、PTGS2-765G>C(rs20417)、TLR4 Ex4+936C>T(rs4986791)和 TLR2-196 到-174del 多态性与 GBC 风险相关。CART 分析显示,OGG1 Ser326Cys 和 OGG1 IVS4-15C>G 多态性是区分病例和对照组的最佳多态性特征。在 GoM 分析中,根据所研究的多态性,将数据分为六个组,代表 GBC 的风险。组 I、II 和 III 描述了具有多个保护等位基因的低固有风险(对照组),而组 IV、V 和 VI 代表了具有多个风险等位基因的高固有风险组(GBC 病例)。CART 和 GoM 分析还表明,PTGS2-1195G>A 多态性在 GBC 易感性中很重要。总之,本研究中的多基因方法可用于定义印度北部人群胆囊癌的个体风险特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ab1/3025033/e457e775c072/pone.0016449.g001.jpg

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