摘要
目的:用生物信息学分析方法初步构建食管癌mi RNA和m RNA的调控网络,探索其在食管癌中的分子调控机制。方法:从GEO下载数据集GSE114110(n10 T30),GSE59973(n3 T3)使用GEO2R进行差异表达基因分析,使用R语言软件probezsylnbol做热图分析;再通过GEOR2对食管癌差异m RNA进行分析及funrich对mi RNA靶基因预测和m RNA预测取交集,使用DAVID和Cytoscape中的插件Clu GO进行GO富集分析,最后通过下载预后数据绘制mi RNAs的Kaplan-Meier生存曲线。结果:从GSE114110和GSE59973中取交集共获得7个差异表达mi RNAs,miR-34c-5p、mi R-455-3p、mi R-455-5p、mi R-944属于高频上调表达的mi RNAs,miR-139-5p、mi R-1、mi R-133b属于高频下调表达的mi RNAs;mi RNAs主要富集于转录因子活性,转运蛋白活性等;并筛选出56个靶基因,构建了食管癌mi RNA-m RNA分子调控网络,并筛选出结合和发挥作用的m RNAs,其功能主要富集为转录抑制子活性,RNA聚合酶II转录因子结合等。其中4个与m RNAs有靶向结合的mi RNAs预后分析表明mi R-455-5p、mi R-34c-5p、mi R-455-3p的高表达及mi R-133b低表达患者的总体生存时间缩短。结论:通过数据库挖掘方法构建的mi RNA-m RNA调控网络,发现mi R-455-5p、mi R-34c-5p、mi R-455-3p及mi R-133b参与食管癌的发生和发展,且与不良预后相关,为研究食管癌发病机制、探索联合mi RNA及其靶基因m RNA作为临床诊断标志物及预后提供了可靠的研究方向。
Objective:The regulation network of mi RNA and m RNA in esophageal cancer was preliminarily constructed by bioinformatics analysis to explore its molecular regulation mechanism in esophageal cancer.Methods:Downloaded data set GSE114110(N10 T30),GSE59973(N3 T3)from GEO,used GEO2 R for differential expression gene analysis,and used R language software,Probezsylnbol,for heat map analysis.By used GEOR2 to analyze the differential m RNA of esophageal cancer,and used FunRich to predict the mi RNA target genes and m RNA to obtain the intersection data.After that,used the Clu GO plug-in in DAVID and Cytoscape software for GO enrichment analysis.Finally,the Kaplan-Meier survival curve of mi RNAs was drawn by downloading the prognostic data.Results:The intersection was extracted from GSE114110 and GSE59973,and a total of 7 differential expressions were obtained:mi RNAs,mi R-34 c-5 p,mi R-455-3 p,mi R-455-5 p,mi R-944,which expression are high-frequency up-regulated mi RNAs,Mi R-139-5 p,mi R-1,and mi R-133 b belong to those expression are high frequency down-regulated mi RNAs;Screened 56 target genes,constructed a mi RNA-m RNA molecular regulatory network for esophageal cancer,and screened out m RNAs that can bind and with function.Their functions are mainly enriched in transcriptional repressor activity,RNA polymerase II transcription factor binding and so on.The prognostic analysis of 4 mi RNAs with m RNA targeted binding showed that the patients with high expression of mir-455-5 p,mir-34 c-5 p,mir-455-3 p and low expression of mi R-133 b had shorter overall survival time.Conclusion:Using the mi RNA-m RNA regulatory network constructed with database mining methods,the researchers found that mi R-455-5 p,mi R-34 c-5 p,mi R-455-3 p,and mi R-133 b are involved in the occurrence and development of esophageal cancer,and are related to the adverse prognosis of patients.The research results provide a reliable research direction for discovering the pathogenesis of esophageal cancer,exploring combined mi RNAs and their target genes,and then serving as the clinical diagnostic markers and predicting the prognosis of patients.
作者
谢玉芳
李疆芬
江辰昊
张安志
袁鑫
李范平
梁伟华
李曼
沈西华
李丽
崔晓宾
杨兰
张海俊
庞丽娟
刘春霞
李锋
胡建明
XIE Yu-fang;LI Jiang-fen;JIANG Chen-hao;ZHANG An-zhi;YUAN Xin;LI Fan-ping;LIANG Wei-hua;LI Man;SHEN Xi-hua;LI Li;CUI Xiao-bin;YANG Lan;ZHANG Hai-jun;PANG Li-juan;LIU Chun-xia;LI Feng;HU Jian-ming(Department of Pathology,Shihezi University School of Medicine/Department of Pathology,the First Affiliated Hospital of Shihezi University School of Medicine,Xinjiang Shihezi,832002;Department of Pathology,Beijing Chaoyang Hospital,Capital Medical University,Beijing,100016)
出处
《农垦医学》
2020年第3期193-199,共7页
Journal of Nongken Medicine
基金
国家自然科学基金(81760428,81960435,8146036,81860518)
石河子大学高层次人才科研启动项目(RCZK2018C19)
新疆生产建设兵团科技发展项目(2018AB033)
国家农村地区上消化道早期发现与治疗项目(2018年)
兵团青年科技创新领导人才项目(2017CB004)。