摘要： 目的 通过网络数据分析PEG3基因在肺腺癌中的表达及预后意义。方法 经TCGA数据库分析PEG3 mRNA在肺腺癌组织中的表达情况。利用LinkedOmics和KM-Plotter分析PEG3表达与肺腺癌临床病理特征的相关性及对患者生存的影响，进一步分析肺腺癌中PEG3启动子的甲基化水平，并预测与PEG3相关的微小RNA（miRNA）。结果 PEG3 mRNA在肺腺癌中较正常肺组织显著低表达，PEG3的表达与肿瘤T分期相关（P=0.003，n=512），与PEG3低表达的肺腺癌患者相比，PEG3高表达的肺腺癌患者获得更高的总生存率[HR=0.3（95% CI：0.21~0.43），P<0.001]，PEG3基因的启动子甲基化水平在肺腺癌中显著增高。与PEG3相关的miRNA有miR-124-3p.2/506-3p、miR-124-3p.1、miR-9-5p等。结论 PEG3在肺腺癌中呈低表达，PEG3表达高的患者预后好，相关甲基化分析及miRNA预测将为今后的基础研究提供理论依据。

基于公共数据库分析PEG3基因在肺腺癌中的表达及预后意义

田广伟, 李楠, 李光

中国医科大学附属第一医院放疗科, 沈阳 110001

收稿日期:2019-07-11出版日期:2020-09-30发布日期:2020-09-15
通讯作者:李光E-mail:13804058616@163.com
作者简介:田广伟(1985-),男,主治医师,博士.
基金资助:吴阶平医学基金（320.6750.17116）


关键词: PEG3, 肺腺癌, 预后, 甲基化, 数据库分析
Abstract: Objective To determine the significance of PEG3 gene expression in the prognosis of lung adenocarcinoma using online databases. Methods PEG3 mRNA expression in lung adenocarcinoma tissue was compared with that in normal lung tissue using The Cancer Genome Atlas (TCGA) database. Correlations between PEG3 expression and clinicopathological parameters relevant for prognosis of adenocarcinoma were determined using LinkedOmics and Kaplan-Meier Plotter. The levels of PEG3 promoter methylation and PEG3-related microRNAs were also assessed. Results The expression of PEG3 mRNA was significantly lower in lung adenocarcinoma than in normal lung tissue. PEG3 expression was correlated with tumor T stage (P=0.003,n=512). The patients with low PEG3 expression had better overall survival than that of patients with high PEG3 expression[HR=0.3,95% CI:0.21-0.43,P<0.001]. PEG3 promoter methylation was significantly higher in lung adenocarcinoma than in normal tissue.PEG3-related microRNAs included miR-124-3p.2/506-3p,miR-124-3p.1,and miR-9-5p. Conclusion PEG3 is downregulated in lung adenocarcinoma. High expression of PEG3 is an important indicator of good prognosis.PEG3-related methylation analysis and microRNA prediction will provide important theoretical basis for future basic research.
Key words: PEG3, lung adenocarcinoma, prognosis, methylation, database analysis
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