A seven-miRNA expression-based prognostic signature and its corresponding potential competing endogenous RNA network in early pancreatic cancer
A seven-miRNA expression-based prognostic signature and its corresponding potential competing endogenous RNA network in early pancreatic cancer
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DOI：
10.3892/etm.2019.7728
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发表时间：
2019-09-01
影响因子：
2.7
通讯作者：
He, Liusheng
中科院分区：
文献类型：
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作者：
Bai, Xue;Lu, Donglan;He, Liusheng
本研究旨在建立一个microRNA（miRNA/miR）特征来早期预测胰腺癌（PC）患者的预后，并探讨竞争性内源性RNA（ceRNA）在PC中的作用。使用来自The Cancer Genome Atlas的成熟miRNA表达谱，比较来自表现出早期PC的患者的组织和来自健康个体的组织中差异表达的miRNA。使用最小绝对收缩和选择算子回归方法来构建用于预测预后的基于miRNA的签名。利用miRNet工具、基因集富集分析（GSEA）和LncRNADisease数据库来探索ceRNA的参与机制。选择PC中总共七种下调的miRNA（miR-424- 5 p、miR-139- 5 p、miR-5586- 5 p、miR-126- 3 p、miR-3613- 5 p、miR-454- 3 p和miR-1271- 5 p）以产生签名。基于这七种miRNA的特征，可以将PC患者分为低风险组和高风险组。低危组总生存期明显长于高危组（P
The present study aimed to establish a microRNA (miRNA/miR) signature to predict the prognosis of patients with pancreatic cancer (PC) at the early stage and to investigate the involvement of competing endogenous RNAs (ceRNAs) in PC. Using mature miRNA expression profiles from The Cancer Genome Atlas, differentially expressed miRNAs in tissues derived from patients exhibiting early PC and tissues from healthy individuals were compared. The least absolute shrinkage and selection operator regression method was used to construct a miRNA-based signature for predicting prognosis. The miRNet tool, gene set enrichment analysis (GSEA) and the LncRNADisease database were utilized to explore the mechanistic involvement of ceRNAs. A total of seven downregulated miRNAs in PC (miR-424-5p, miR-139-5p, miR-5586-5p, miR-126-3p, miR-3613-5p, miR-454-3p and miR-1271-5p) were selected to generate a signature. Based on this seven-miRNA signature, it was possible to stratify patients with PC into low- and high-risk groups. The overall survival of the low-risk group was significantly longer than that of the high-risk group (P