Relationship between MEG3 gene polymorphism and risk of gastric cancer in Chinese population with high incidence of gastric cancer.
Relationship between MEG3 gene polymorphism and risk of gastric cancer in Chinese population with high incidence of gastric cancer.
复制标题
MEG3基因多态性与中国胃癌高发人群胃癌风险的关系
DOI：
10.1042/bsr20200305
复制
发表时间：
2020-11-27
影响因子：
4
通讯作者：
Liang G
中科院分区：
文献类型：
--
作者：
Kong X;Yang S;Liu C;Tang H;Chen Y;Zhang X;Zhou Y;Liang G
摘要目的：胃癌是中国最常见的胃肠道恶性肿瘤，是遗传和环境因素共同作用的结果。本研究旨在探讨长链非编码RNA （lncRNA）物质表达基因3 （MEG3）单核苷酸多态性（snp）与胃癌发生风险的关系，并构建遗传-环境风险评估模型。方法：采用病例对照研究，纳入临床及病理检查确诊的胃癌患者474例，健康体检者543例。收集研究对象的血液样本、一般人口统计资料和行为生活方式。采用TaqMan实时PCR法检测MEG3 rs7158663和rs10132552基因型。结果：MEG3 rs7158663位点的A等位基因是胃癌发生的危险因素(优势比（OR) = 1.41, 95%可信区间(95% CI) = 1.14 ~ 1.74， P=0.002）。然而，rs10132552多态性与胃癌之间没有明显的相关性。饮酒、饮茶和食用腌制食品是胃癌发生的危险因素（P<0.05）。采用logistic回归模型建立MEG3 rs7158663、饮酒、饮茶、食用腌制食品的遗传-环境风险评价模型。随着风险评分（RS）的升高，胃癌发生风险明显升高（P<0.05）。受试者工作特征曲线下面积为0.745，具有较高的诊断价值。结论：MEG3 rs7158663可能与胃癌发生风险相关；遗传-环境风险评价模型对胃癌的诊断能力较好。
Abstract Objective: Gastric cancer is the most common gastrointestinal malignancy in China and results from a combination of genetic and environmental factors. The present study was conducted to investigate the relationship between long noncoding RNA (lncRNA) materally expressed gene 3 (MEG3) single nucleotide polymorphisms (SNPs) and the risk of gastric cancer and to construct a genetic-environmental risk assessment model. Methods: A case–control study was conducted to include 474 patients with gastric cancer diagnosed by clinical and pathological examination and 543 healthy physical examination subjects. Blood samples, general demographic data and behavioral lifestyle of the subjects were collected. The TaqMan real-time PCR method was used for testing the genotypes of MEG3 rs7158663 and rs10132552. Results: The A allele at the rs7158663 loci of MEG3 was found to be risk factor for gastric cancer (odds ratio (OR) = 1.41, 95% confidence interval (95% CI) = 1.14–1.74, P=0.002). Yet, no significant association between rs10132552 polymorphisms and gastric cancer was observed. Drinking, tea drinking and preserved food eating were risk factors for gastric cancer (P<0.05). A genetic–environmental risk assessment model was established by using the logistic regression model to include MEG3 rs7158663, drinking, tea drinking, and preserved food eating. With the increase in risk score (RS), the risk of gastric cancer increased substantially (P<0.05). And the area under the receiver operating characteristic (ROC) curve was 0.745, which indicates a high diagnostic value. Conclusions: MEG3 rs7158663 might be associated with the risk of gastric cancer; the diagnostic ability of genetic–environmental risk assessment model for gastric cancer is better.