中国儿童基因多态性与中枢神经系统肿瘤易感性之间无关联。
No Association Between Gene Polymorphisms and Central Nervous System Tumor Susceptibility in Chinese Children.
作者信息
Liao Yuxiang, Yuan Li, Zhang Zhiping, Lin Ao, Zhou Jingying, Zhuo Zhenjian, Zhao Jie
机构信息
Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, Changsha, People's Republic of China.
Department of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, Guangdong, People's Republic of China.
出版信息
Pharmgenomics Pers Med. 2021 Jan 19;14:109-115. doi: 10.2147/PGPM.S289345. eCollection 2021.
BACKGROUND
Central nervous system (CNS) tumor is a malignancy commonly seen occurring in childhood, worldwide. Fat mass and obesity-associated (FTO) enzyme, initially identified as an obesity-related protein, also functions as a susceptibility gene for cancers. However, predisposing effect of gene single nucleotide polymorphisms (SNPs) on CNS tumor risk remains unknown.
METHODS
Herein, we genotyped 314 CNS tumor patients and 380 healthy controls samples from three hospitals to explore whether gene SNPs impact CNS tumor risk. TaqMan SNP genotyping assay was applied for the genotyping. Odds ratios (ORs) and 95% confidence intervals (CIs), generated from multinomial logistic regression, were applied to determine the associations of SNPs (rs1477196 G>A, rs9939609 T>A, rs7206790 C>G, and rs8047395 A>G) in gene with risk of CNS tumor.
RESULTS
We failed to detect significant associations between gene SNPs and CNS tumor risk, either in single-locus or combined analysis. A significantly increased ependymoma risk was found for carriers with 3-4 risk genotypes in comparison to 0-2 risk genotypes (adjusted OR=1.94, 95% CI=1.11-3.37, =0.020).
CONCLUSION
Our data indicated that gene SNPs are unlikely to have large effects on CNS tumor risk but may have weaker effects.
背景
中枢神经系统（CNS）肿瘤是一种在全球儿童中常见的恶性肿瘤。脂肪量和肥胖相关（FTO）酶最初被鉴定为一种与肥胖相关的蛋白质，它也作为癌症的易感基因发挥作用。然而，该基因单核苷酸多态性（SNP）对中枢神经系统肿瘤风险的易感性影响仍不清楚。
方法
在此，我们对来自三家医院的314例中枢神经系统肿瘤患者和380例健康对照样本进行基因分型，以探讨该基因的SNP是否影响中枢神经系统肿瘤风险。采用TaqMan SNP基因分型检测法进行基因分型。多项逻辑回归得出的优势比（OR）和95%置信区间（CI）用于确定该基因中SNP（rs1477196 G>A、rs9939609 T>A、rs7206790 C>G和rs8047395 A>G）与中枢神经系统肿瘤风险的关联。
结果
无论是单基因座分析还是联合分析，我们均未检测到该基因SNP与中枢神经系统肿瘤风险之间存在显著关联。与0-2种风险基因型的携带者相比，携带3-4种风险基因型的携带者患室管膜瘤的风险显著增加（校正OR=1.94，95%CI=1.11-3.37，P=0.020）。
结论
我们的数据表明，该基因的SNP不太可能对中枢神经系统肿瘤风险产生重大影响，但可能有较弱的影响。
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