摘要
目的 筛选胰腺癌中的核心甲基化驱动基因,探究其生物功能及临床意义.方法 基于TCGA/GEO数据库中胰腺癌的mRNA-seq数据及匹配的临床数据,利用R分析软件相关数据包及部分在线分析工具,分析并获得胰腺癌中甲基化驱动基因;采用Lasso-Cox回归分析筛选核心甲基化驱动基因,并探究其在胰腺癌中的功能特点及临床意义;最后基于核心甲基化驱动基因构建预后模型并进行相关探究.结果 甲基化驱动基因ZSCAN18、FERMT1、LIPH、LAMA3及S100A16对胰腺癌表现出良好的诊断效能,且FERMT1、LIPH、LAMA3及S100A 16的表达上调与患者较差的预后相关(P＜0.05),ZSCAN18的表达上调则与患者较好的生存预后相关(P＜0.05),而基于甲基化驱动基因ZSCAN18、FERMT1、LIPH、LAMA3及S100A 16的预后模型表现出良好的预测效能,具有较好的临床应用潜能.结论 甲基化驱动基因ZSCAN18、FERMT1、LIPH、LAMA3及S100A16是胰腺癌的潜在诊断靶点及预后标志物,基于以上基因的预后模型表现出良好的预测效能.
Abstract
Objective To screen core methylation driver genes in pancreatic cancer,and to explore their bio-logical functions and clinical significance.Methods Based on the mRNA-seq data of pancreatic cancer in TCGA/GEO database and the matched clinical data,using R analysis software related data packages and some online analysis tools,we analyzed and obtained the methylated driver genes in pancreatic cancer,and further screened the core methylated driver proteins by using Lasso-Cox regression analysis,and investigated their functional characteristics and clinical significance in pancreatic cancer.Finally,a prognostic model was con-structed based on the core methylation driver genes and related investigations were carried out.Results Methylated driver genes ZSCAN18,FERMT1,LIPH,LAMA3 and S100A16 showed good diagnostic efficacy in pancreatic cancer,and the up-regulation of FERMT1,LIPH,LAMA3 and S100A16 was significantly correlated with poor prognosis of patients(P＜0.05).Whereas the up-regulation of ZSCAN18 was correlated with better prognosis of patient survival(P＜0.05).The prognostic model based on the methylation driver genes ZSCAN18,FERMT1,LIPH,LAMA3 and S100A 16 showed good predictive efficacy and had good potential for clinical ap-plication.Conclusion Methylation driver genes ZSCAN18,FERMT1,LIPH,LA MA 3 and S100A16 were po-tential diagnostic targets and prognostic markers for pancreatic cancer,and prognostic models based on these genes showed good predictive efficacy.
基金项目
宁夏回族自治区青年人才拔尖项目(2016-RQ0143)
维普
万方数据