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中华肝脏外科手术学电子杂志 ›› 2020, Vol. 09 ›› Issue (05) : 488 -492. doi: 10.3877/cma.j.issn.2095-3232.2020.05.021

所属专题: 文献

基础研究

基于生物信息学研究肝癌发生相关基因及其功能
周国俊1, 应伟1, 李文菠1, 冯彦超1, 吴妮莎1, 黄理政1, 雷蕾1, 侍琳1, 冷政伟1,()   
  1. 1. 637000 四川省南充市,川北医学院附属医院肝胆外二科
  • 收稿日期:2020-06-25 出版日期:2020-10-10
  • 通信作者: 冷政伟
  • 基金资助:
    四川省科技厅应用基础项目(2017JY0170,CBY17-A-ZD01); 南充市研发资金项目(16YFZJ0126、16YFZJ0055); 南充市重大技术攻关项目(18SXHZ0460)

Bioinformatics-based study on hepatocellular carcinoma related genes and functions

Guojun Zhou1, Wei Ying1, Wenbo Li1, Yanchao Feng1, Nisha Wu1, Lizheng Huang1, Lei Lei1, Lin Shi1, Zhengwei Leng1,()   

  1. 1. Department Ⅱ of Hepatobiliary Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China
  • Received:2020-06-25 Published:2020-10-10
  • Corresponding author: Zhengwei Leng
  • About author:
    Corresponding author: Leng Zhengwei, Email:
引用本文:

周国俊, 应伟, 李文菠, 冯彦超, 吴妮莎, 黄理政, 雷蕾, 侍琳, 冷政伟. 基于生物信息学研究肝癌发生相关基因及其功能[J/OL]. 中华肝脏外科手术学电子杂志, 2020, 09(05): 488-492.

Guojun Zhou, Wei Ying, Wenbo Li, Yanchao Feng, Nisha Wu, Lizheng Huang, Lei Lei, Lin Shi, Zhengwei Leng. Bioinformatics-based study on hepatocellular carcinoma related genes and functions[J/OL]. Chinese Journal of Hepatic Surgery(Electronic Edition), 2020, 09(05): 488-492.

目的

基于生物信息学探讨肝细胞癌(肝癌)发生相关基因及其功能。

方法

从公共基因数据库GEO筛选并下载肝癌组织及癌旁组织基因芯片,通过GEO2R在线工具和Venn图网站筛选出差异表达基因(DEGs)。对筛选出来的DEGs在DAVID网站进行基因本体(GO)功能分析和KEGG通路富集分析,再用STRING网站及Cytscape软件进行蛋白-蛋白相互作用网络分析并筛选出核心DEGs,最后将核心DEGs在Kaplan-Meier Plotter网站进行生存分析,筛选出与预后相关的DEGs。将与预后相关且在肝癌组织中高表达的DEGs经metascape网站进行GO功能及KEGG通路富集分析,分析与肝癌发生、发展相关的重要基因及其功能。

结果

从3个基因芯片GSE60502、GSE14520、GSE45267共筛选出DEGs 124个。GO功能、KEGG通路富集分析、STRING网站及Cytscape软件分析后筛选出22个核心DEGs,11个基因与肝癌预后相关,其中9个基因在肝癌组织中高表达,包括GINS1、AURKA、NUSAP1、TOP2A、ASPM、RRM2、PRC1、RACGAP1、GMNN。metascape网站及KEGG通路富集分析发现,高表达基因涉及细胞核分裂过程、细胞周期中的有丝分裂、纺锤体组装、DNA构象改变。

结论

基于生物信息学分析发现9个基因是肝细胞癌发生、发展的重要基因,参与细胞核分裂过程、细胞周期中的有丝分裂、纺锤体组装、DNA构象改变过程。

Objective

To explore the genes and functions related to hepatocellular carcinoma (HCC) based on bioinformatics study.

Methods

Gene chips of HCC tissues and para-carcinoma tissues were screened and downloaded from the GEO public gene database, and differentially expressed genes (DEGs) were identified with GEO2R online tool and Venn diagram. The selected DEGs were subjected to GO function analysis and KEGG pathway enrichment analysis on DAVID website, and then the core DEGs were analyzed and selected through the protein-protein interaction network analysis with STRING website and Cytscape software. Finally, survival analysis of the core DEGs was performed on Kaplan-Meier Plotter website to screen the DEGs related to clinical prognosis. The DEGs related to clinical prognosis and highly expressed in HCC tissues were subjected to GO function and KEGG pathway enrichment analysis on metascape website to explore the genes and their functions which were associated with the development of HCC.

Results

A total of 124 DEGs were screened from 3 gene chips including GSE60502, GSE14520 and GSE45267. 22 core DEGs were screened by GO function, KEGG pathway enrichment analysis, STRING website and Cytscape software. Among them, 11 genes were related to the clinical prognosis of HCC, among which 9 genes were highly expressed in HCC tissues, including GINS1, AURKA, NUSAP1, TOP2A, ASPM, RRM2, PRC1, RACGAP1 and GMNN. Metascape website and KEGG pathway enrichment analysis showed that highly-expressed genes were involved in the nuclear division, mitosis in cell cycle, spindle assembly and DNA conformational changes.

Conclusions

Bioinformatics-based analysis demonstrates that 9 genes are important genes for the development of HCC, which participate in the process of nuclear division, mitosis in cell cycle, spindle assembly and DNA conformational change.

图1 Cytoscape软件后的核心DEGs
表1 18个共同表达的上调DEGs和106个共同表达的下调DEGs
图2 九个肝癌组织中高表达基因的GO功能和KEGG通路富集分析图
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