AIM To identify multiple micro RNAs(mi RNAs) for predicting the prognosis of gastric cancer(GC) patients by bioinformatics analysis.METHODS The original microarray dataset GSE93415,which included 20 GC and 20 tumor ad...AIM To identify multiple micro RNAs(mi RNAs) for predicting the prognosis of gastric cancer(GC) patients by bioinformatics analysis.METHODS The original microarray dataset GSE93415,which included 20 GC and 20 tumor adjacent normal gastric mucosal tissues,was downloaded from the Gene Expression Omnibus database and used for screening differentially expressed mi RNAs(DEMs).The cutoff criteria were P < 0.05 and fold change > 2.0.In addition,we acquired the mi RNA expression profiles and clinical information of 361 GC patients from The Cancer Genome Atlas database to assess the prognostic role of the DEMs.The target genes of mi RNAs were predicted using Target Scan,mi RDB,mi RWalk,and DIANA,and then the common target genes were selected for functional enrichment analysis.RESULTS A total of 110 DEMs including 19 up-regulated and 91 down-regulated mi RNAs were identified between 20 pairs of GC and tumor adjacent normal tissues,and the Kaplan-Meier survival analysis found that a threemi RNA signature(mi R-145-3 p,mi R-125 b-5 p,and mi R-99 a-5 p) had an obvious correlation with the survival of GC patients.Furthermore,univariate and multivariate Cox regression analyses indicated that the three-mi RNA signature could be a significant prognostic marker in GC patients.The common target genes of the three mi RNAs are added up to 108 and used for Gene Functional Enrichment analysis.Biological Process and Molecular Function analyses showed that the target genes are involved in cell recognition,gene silencing and nucleic acid binding,transcription factor activity,and transmembrane receptor activity.Cellular Component analysis revealed that the genes are portion of nucleus,chromatin silencing complex,and TORC1/2 complex.Biological Pathway analysis indicated that the genes participate in several cancer-related pathways,such as the focal adhesion,PI3 K,and m TOR signaling pathways.CONCLUSION This study justified that a three-mi RNA signature could play a role in predicting the survival of GC patients.展开更多
目的利用microRNA(miRNA)芯片筛选肾阳虚证差异表达的miRNAs。方法选择肾阳虚证患者14例作为肾阳虚证组,健康对照者14例作为正常对照组,分别抽取2组受检者外周静脉血5 m L,提取总RNA分离miRNA,应用miRCURYTM LNA Array(v.18.0)(Exiqon)...目的利用microRNA(miRNA)芯片筛选肾阳虚证差异表达的miRNAs。方法选择肾阳虚证患者14例作为肾阳虚证组,健康对照者14例作为正常对照组,分别抽取2组受检者外周静脉血5 m L,提取总RNA分离miRNA,应用miRCURYTM LNA Array(v.18.0)(Exiqon)芯片技术筛选2组间差异表达的miRNAs并进行分析,应用Gene ontology(GO)分析差异miRNA生物功能。结果共筛选出48条有统计学意义的差异表达miRNAs,其中29条表达上调,19条表达下调,这些差异miRNAs主要参与了免疫、信号通路、蛋白翻译合成等调节。结论肾阳虚证患者和健康对照者存在差异表达的miRNAs。展开更多
基金Supported by National Natural Science Foundation of China,No.30572162Natural Science Foundation of Liaoning Province,No.201602817
文摘AIM To identify multiple micro RNAs(mi RNAs) for predicting the prognosis of gastric cancer(GC) patients by bioinformatics analysis.METHODS The original microarray dataset GSE93415,which included 20 GC and 20 tumor adjacent normal gastric mucosal tissues,was downloaded from the Gene Expression Omnibus database and used for screening differentially expressed mi RNAs(DEMs).The cutoff criteria were P < 0.05 and fold change > 2.0.In addition,we acquired the mi RNA expression profiles and clinical information of 361 GC patients from The Cancer Genome Atlas database to assess the prognostic role of the DEMs.The target genes of mi RNAs were predicted using Target Scan,mi RDB,mi RWalk,and DIANA,and then the common target genes were selected for functional enrichment analysis.RESULTS A total of 110 DEMs including 19 up-regulated and 91 down-regulated mi RNAs were identified between 20 pairs of GC and tumor adjacent normal tissues,and the Kaplan-Meier survival analysis found that a threemi RNA signature(mi R-145-3 p,mi R-125 b-5 p,and mi R-99 a-5 p) had an obvious correlation with the survival of GC patients.Furthermore,univariate and multivariate Cox regression analyses indicated that the three-mi RNA signature could be a significant prognostic marker in GC patients.The common target genes of the three mi RNAs are added up to 108 and used for Gene Functional Enrichment analysis.Biological Process and Molecular Function analyses showed that the target genes are involved in cell recognition,gene silencing and nucleic acid binding,transcription factor activity,and transmembrane receptor activity.Cellular Component analysis revealed that the genes are portion of nucleus,chromatin silencing complex,and TORC1/2 complex.Biological Pathway analysis indicated that the genes participate in several cancer-related pathways,such as the focal adhesion,PI3 K,and m TOR signaling pathways.CONCLUSION This study justified that a three-mi RNA signature could play a role in predicting the survival of GC patients.
