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标题: 基于生物信息学分析和实验验证鉴定肝细胞癌中侵袭转移相 [打印本页]

作者: StephenW    时间: 2018-9-30 20:05     标题: 基于生物信息学分析和实验验证鉴定肝细胞癌中侵袭转移相

Identification of invasion-metastasis-associated microRNAs in hepatocellular carcinoma based on bioinformatic analysis and experimental validation

    Weiyang Lou†, Jing Chen†, Bisha Ding†, Danni Chen, Huilin Zheng, Donghai Jiang, Liang Xu, Chang Bao, Guoqiang Cao and Weimin FanEmail author

†Contributed equally
Journal of Translational Medicine201816:266

https://doi.org/10.1186/s12967-018-1639-8

©  The Author(s) 2018

    Received: 3 April 2018Accepted: 20 September 2018Published: 29 September 2018

Abstract
Background

Hepatocellular carcinoma (HCC) is one of the most lethal cancer, mainly attributing to its high tendency to metastasis. Vascular invasion provides a direct path for solid tumor metastasis. Mounting evidence has demonstrated that microRNAs (miRNAs) are related to human cancer onset and progression including invasion and metastasis.
Methods

In search of invasion-metastasis-associated miRNAs in HCC, microarray dataset GSE67140 was downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs (DE-miRNAs) were obtained by R software package and the potential target genes were predicted by miRTarBase. The database for annotation, visualization and integrated discovery (DAVID) was introduced to perform functional annotation and pathway enrichment analysis for these potential targets of DE-miRNAs. Protein–protein interaction (PPI) network was established by STRING database and visualized by Cytoscape software. The effects of the miR-494-3p and miR-126-3p on migration and invasion of HCC cell lines were evaluated by conducting wound healing assay and transwell assay.
Results

A total of 138 DE-miRNAs were screened out, including 57 upregulated miRNAs and 81 downregulated miRNAs in human HCC tumors with vascular invasion compared with human HCC tumors without vascular invasion. 762 target genes of the top three upregulated and downregulated miRNAs were predicted, and they were involved in HCC-related pathways, such as pathway in cancer, focal adhesion and MAPK signaling pathway. In the PPI network, the top 10 hub nodes with higher degrees were identified as hub genes, such as TP53 and MYC. Through constructing the miRNA-hub gene network, we found that most of hub genes could be potentially modulated by miR-494-3p and miR-126-3p. Of note, miR-494-3p and miR-126-3p was markedly upregulated and downregulated in HCC cell lines and tissues, respectively. In addition, overexpression of miR-494-3p could significantly promote HCC migration and invasion whereas overexpression of miR-126-3p exerted an opposite effect.
Conclusions

Targeting miR-494-3p and miR-126-3p may provide effective and promising approaches to suppress invasion and metastasis of HCC.
Keywords

    Metastasis
    Invasion
    microRNA
    Hepatocellular carcinoma
    Bioinformatic analysis
作者: StephenW    时间: 2018-9-30 20:06

基于生物信息学分析和实验验证鉴定肝细胞癌中侵袭转移相关的microRNAs

    Weiyang Lou†,Jing Chen†,Bisha Ding†,Danni Chen,Huilin Zheng,Donghai Jiang,Liang Xu,Chang Bao,Guooqiang Cao and Weimin FanEmail author

†同等贡献
Journal of Translational Medicine201816:266

https://doi.org/10.1186/s12967-018-1639-8

©作者2018

    收稿日期:2018年4月3日接受日期:2018年9月20日出版日期:2018年9月29日

抽象
背景

肝细胞癌(HCC)是最致命的癌症之一,主要归因于其高度转移倾向。血管侵犯为实体肿瘤转移提供了直接途径。越来越多的证据表明microRNA(miRNA)与人类癌症的发病和进展有关,包括侵袭和转移。
方法

为了在HCC中寻找与侵袭 - 转移相关的miRNA,从Gene Expression Omnibus数据库下载微阵列数据集GSE67140。通过R软件包获得差异表达的miRNA(DE-miRNA),并通过miRTarBase预测潜在的靶基因。引入了用于注释,可视化和综合发现(DAVID)的数据库,以对这些DE-miRNA的潜在靶标进行功能注释和途径富集分析。通过STRING数据库建立蛋白质 - 蛋白质相互作用(PPI)网络,并通过Cytoscape软件可视化。通过进行伤口愈合测定和transwell测定来评估miR-494-3p和miR-126-3p对HCC细胞系的迁移和侵袭的影响。
结果

筛选出总共138个DE-miRNA,其中包括57个上调的miRNA和81个下调的miRNA,其在具有血管侵袭的人HCC肿瘤中与没有血管侵入的人HCC肿瘤相比。预测了前三种上调和下调miRNA的762个靶基因,并且它们参与HCC相关途径,例如癌症中的途径,粘着斑和MAPK信号传导途径。在PPI网络中,具有较高学位的前10个中心节点被识别为中枢基因,例如TP53和MYC。通过构建miRNA-hub基因网络,我们发现大多数中枢基因可能被miR-494-3p和miR-126-3p调节。值得注意的是,miR-494-3p和miR-126-3p分别在HCC细胞系和组织中显着上调和下调。此外,miR-494-3p的过表达可显着促进HCC迁移和侵袭,而miR-126-3p的过表达则发挥相反的作用。
结论

靶向miR-494-3p和miR-126-3p可以提供有效且有希望的方法来抑制HCC的侵袭和转移。
关键词

    转移
    侵入
    微小RNA
    肝细胞癌
    生物信息学分析
作者: StephenW    时间: 2018-9-30 20:06

https://translational-medicine.b ... 6/s12967-018-1639-8




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