差异表达miRNA在胰腺癌预后判断中的价值

目的：分析胰腺癌组织和正常组织差异表达的miRNA，筛选与胰腺癌预后相关的生物标志。方法：下载并整理基因芯片表达汇编数据库（GEO）中GSE32678和GSE71533芯片数据集原始数据，应用R语言筛选差异表达miRNA，结合GSE24279数据集，获得差异表达的miRNA并取交集。应用生物信息学分析工具对交集miRNA进行靶基因预测，进而对靶基因进行功能分析，构建蛋白互作网络（PPI）、miRNA-mRNA调控网络、miRNA-mRNA-pathway调控网络，结合肿瘤基因组图谱数据库（TCGA）中胰腺癌样本的miRNA表达及预后数据，筛选出胰腺癌预后相关标志物。结果：共筛选出胰腺癌组织和正常组织22个交集miRNA，其中hsa-miR-30a-5p、hsa-miR-551a、hsa-miR-375与胰腺癌患者的生存预后密切相关。hsa-miR-125b-5p、hsa-miR-221-3p、hsamiR-31-5p、hsa-miR-222-3p、hsa-miR-10a-5p是miRNA-mRNA调控网络中的核心miRNA。结论：通过对GEO和TCGA数据库胰腺癌相关数据的分析发现hsa-miR-30a-5p、hsa-miR-551a、hsa-miR-375显著影响胰腺癌患者的预后，可以作为判断预后的标志。

Involvement of differentially expressed miRNA in prognosis of pancreatic cancers

OBJECTIVE:To analyze associations between differentially expressed miRNAs and development of pancreatic cancers, and to screen biomarkers which might be related to prognosis of pancreatic cancers. METHODS:Data of GSE32678 and GSE71533 datasets in Gene Expression Omnibus (GEO) were downloaded to screen differentially expressed miRNAs by using R language and the intersection of the three data sets were taken. Bioinformatics analysis tool was used to predict target genes of overlapping miRNAs, to perform functional analysis on the target genes,and to construct a protein interaction network (PPI),a miRNA-mRNA network,and a miRNA-mRNA-pathway network. The markers which were related to prognosis of pancreatic cancers were screened by using the expression and prognosis data of miRNAs of pancreatic cancer samples in the Cancer Genome Atlas (TCGA). RESULTS:A total of 22 overlapping miRNAs were screened,and hsamiR-30a-5p,hsa-miR-551a,and hsa-miR-375 were closely related to the prognosis of pancreatic cancer. The core miRNAs in the miRNA-mRNA network were hsa-miR-125b-5p,hsa-miR-221-3p,hsa-miR-31-5p, hsa-miR-222-3p and hsa-miR-10a-5p. CONCLUSION:Analysis of data of pancreatic cancers in the GEO and TCGA databases reveal that hsa-miR-30a-5p,hsa-miR-551a,and hsa-miR-375 significantly affected the prognosis of pancreatic cancers and could be used as markers for prognosis.