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采用整合生物信息学和功能分析方法鉴定非小细胞肺癌中的关键 microRNAs 和枢纽基因。

Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.

机构信息

Department of Pharmacy, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.

出版信息

J Cell Biochem. 2020 Mar;121(3):2690-2703. doi: 10.1002/jcb.29489. Epub 2019 Nov 6.

Abstract

Non-small-cell lung cancer (NSCLC) is an extremely debilitating respiratory malignancy. However, the pathogenesis of NSCLC has not been fully clarified. The main objective of our study was to identify potential microRNAs (miRNAs) and their regulatory mechanism in NSCLC. Using a systematic review, two NSCLC-associated miRNA data sets (GSE102286 and GSE56036) were obtained from Gene Expression Omnibus, and the differentially expressed miRNAs (DE-miRNAs) were accessed by GEO2R. Survival analysis of candidate DE-miRNAs was conducted using the Kaplan-Meier plotter database. To further illustrate the roles of DE-miRNAs in NSCLC, their potential target genes were predicted by miRNet and were annotated by the Database for Annotation, Visualization and Integrated Discovery (DAVID) program. Moreover, the protein-protein interaction (PPI) and miRNA-hub gene regulatory network were established using the STRING database and Cytoscape software. The function of DE-miRNAs in NSCLC cells was evaluated by transwell assay. Compared with normal tissues, a total of eight DE-miRNAs was commonly changed in two data sets. The survival analysis showed that six miRNAs (miR-21-5p, miR-31-5p, miR-708-5p, miR-30a-5p, miR-451a, and miR-126-3p) were significantly correlated with overall survival. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that target genes of upregulated miRNAs were enriched in pathways in cancer, microRNAs in cancer and proteoglycans in cancer, while the target genes of downregulated miRNAs were mainly associated with pathways in cancer, the PI3K-Akt signaling pathway and HTLV-I infection. Based on the miRNA-hub gene network and expression analysis, PTEN, EGFR, STAT3, RHOA, VEGFA, TP53, CTNNB1, and KRAS were identified as potential target genes. Furthermore, all six miRNAs exhibited significant effects on NSCLC cell invasion. These findings indicate that six DE-miRNAs and their target genes may play important roles in the pathogenesis of NSCLC, which will provide novel information for NSCLC treatments.

摘要

非小细胞肺癌(NSCLC)是一种极其衰弱的呼吸系统恶性肿瘤。然而,NSCLC 的发病机制尚未完全阐明。本研究的主要目的是鉴定 NSCLC 中的潜在 microRNAs(miRNAs)及其调控机制。我们通过系统综述,从基因表达综合数据库(GEO)中获得了两个与 NSCLC 相关的 miRNA 数据集(GSE102286 和 GSE56036),并通过 GEO2R 获得差异表达的 miRNAs(DE-miRNAs)。使用 Kaplan-Meier 绘图器数据库对候选 DE-miRNAs 进行生存分析。为了进一步说明 DE-miRNAs 在 NSCLC 中的作用,通过 miRNet 预测其潜在靶基因,并通过数据库 for Annotation, Visualization and Integrated Discovery(DAVID)程序进行注释。此外,通过 STRING 数据库和 Cytoscape 软件建立蛋白质-蛋白质相互作用(PPI)和 miRNA-枢纽基因调控网络。通过 Transwell 测定评估 DE-miRNAs 在 NSCLC 细胞中的功能。与正常组织相比,两个数据集中共有 8 个 DE-miRNA 发生了共同变化。生存分析表明,6 个 miRNAs(miR-21-5p、miR-31-5p、miR-708-5p、miR-30a-5p、miR-451a 和 miR-126-3p)与总生存期显著相关。京都基因与基因组百科全书(KEGG)分析表明,上调 miRNAs 的靶基因富集在癌症通路、癌症中的 microRNAs 和癌症中的糖蛋白中,而下调 miRNAs 的靶基因主要与癌症通路、PI3K-Akt 信号通路和 HTLV-I 感染有关。基于 miRNA-枢纽基因网络和表达分析,鉴定出 PTEN、EGFR、STAT3、RHOA、VEGFA、TP53、CTNNB1 和 KRAS 作为潜在的靶基因。此外,所有 6 个 miRNAs 对 NSCLC 细胞侵袭均有显著影响。这些发现表明,6 个 DE-miRNAs 及其靶基因可能在 NSCLC 的发病机制中发挥重要作用,为 NSCLC 的治疗提供新的信息。

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