Wei Xiao-Bing, Jin Tian-Bo, Li Gang, Geng Ting-Ting, Zhang Jia-Yi, Chen Cui-Ping, Gao Guo-Dong, Chen Chao, Gong Yong-Kuan
Department of Neurosurgery, Hanzhong Central Hospital, Hanzhong, China E-mail :
Asian Pac J Cancer Prev. 2014;15(8):3629-33. doi: 10.7314/apjcp.2014.15.8.3629.
Glioblastoma (GBM) is an immunosuppressive tumor whose median survival time is only 12- 15 months, and patients with GBM have a uniformly poor prognosis. It is known that heredity contributes to formation of glioma, but there are few genetic studies concerning GBM.
We genotyped six tagging SNPs (tSNP) in Han Chinese GBM and control patients. We used Microsoft Excel and SPSS 16.0 statistical package for statistical analysis and SNP Stats to test for associations between certain tSNPs and risk of GBM in five different models. ORs and 95%CIs were calculated for unconditional logistic-regression analysis with adjustment for age and gender. The SHEsis software platform was applied for analysis of linkage disequilibrium, haplotype construction, and genetic associations at polymorphism loci.
We found rs891835 in CCDC26 to be associated with GBM susceptibility at a level of p=0.009. The following genotypes of rs891835 were found to be associated with GBM risk in four different models of gene action: i) genotype GT (OR=2.26; 95%CI, 1.29-3.97; p=0.019) or GG (OR=1.33; 95%CI, 0.23-7.81; p=0.019) in the codominant model; ii) genotypes GT and GG (OR=2.18; 95%CI, 1.26-3.78; p=0.0061) in the dominant model; iii) GT (OR=2.24; 95%CI, 1.28-3.92; p=0.0053) in the overdominant model; iv) the allele G of rs891835 (OR=1.85; 95%CI, 1.14-3.00; p=0.015) in the additive model. In addition, "CG" and "CGGAG" were found by haplotype analysis to be associated with increased GBM risk. In contrast, genotype GG of CCDC26 rs6470745 was associated with decreased GBM risk (OR=0.34; 95%CI, 0.12-1.01; p=0.029) in the recessive model.
Our results, combined with those from previous studies, suggest a potential genetic contribution of CCDC26 to GBM progression among Han Chinese.
胶质母细胞瘤(GBM)是一种具有免疫抑制作用的肿瘤,其平均生存时间仅为12 - 15个月,GBM患者的预后普遍较差。已知遗传因素与胶质瘤的形成有关,但关于GBM的遗传学研究较少。
我们对汉族GBM患者和对照患者的6个标签单核苷酸多态性(tSNP)进行了基因分型。我们使用Microsoft Excel和SPSS 16.0统计软件包进行统计分析,并使用SNP Stats在五种不同模型中测试某些tSNP与GBM风险之间的关联。计算比值比(OR)和95%置信区间(CI)用于年龄和性别调整后的无条件逻辑回归分析。应用SHEsis软件平台进行连锁不平衡分析、单倍型构建以及多态性位点的遗传关联分析。
我们发现CCDC26基因中的rs891835与GBM易感性相关,P值为0.009。在四种不同的基因作用模型中,发现rs891835的以下基因型与GBM风险相关:i)共显性模型中基因型GT(OR = 2.26;95%CI,1.29 - 3.97;P = 0.019)或GG(OR = 1.33;95%CI,0.23 - 7.81;P = 0.019);ii)显性模型中基因型GT和GG(OR = 2.18;95%CI,1.26 - 3.78;P = 0.0061);iii)超显性模型中GT(OR = 2.24;95%CI,1.28 - 3.92;P = 0.0053);iv)加性模型中rs891835的等位基因G(OR = 1.85;95%CI,1.14 - 3.00;P = 0.015)。此外,单倍型分析发现“CG”和“CGGAG”与GBM风险增加相关。相反,CCDC26 rs6470745的基因型GG在隐性模型中与GBM风险降低相关(OR = 0.34;95%CI,0.12 - 1.01;P = 0.029)。
我们的结果与先前研究的结果相结合,表明CCDC26基因在汉族人群GBM进展中可能具有潜在的遗传作用。