解剖学报

›› 2016, Vol. 47 ›› Issue (1): 67-71.

• 肿瘤生物学 • 上一篇    下一篇

丙型肝炎病毒相关性肝细胞癌的基因表达分析

王凤1,孙朝晖2,马文丽3,郑文岭3   

  1. 1. 南方医科大学
    2.
    3. 南方医科大学基因工程研究所
  • 收稿日期:2015-06-01 修回日期:2015-10-26 出版日期:2016-02-06 发布日期:2016-02-06
  • 通讯作者: 马文丽 E-mail:wenli668@gmail.com
  • 基金资助:
    国家自然科学基金;广东省领军人才基金

Gene expression analysis of hepatitis C virus related hepatocellular carcinoma genes

  • Received:2015-06-01 Revised:2015-10-26 Online:2016-02-06 Published:2016-02-06

摘要： 目的 分析慢性丙型肝炎发展为肝细胞癌过程中的差异表达基因谱。方法 以GEO数据库的基因表达谱数据GDS4880、GDS4887为分析材料，采用Qlucore Omics Explorer软件筛选慢性丙型肝炎与HCV相关性肝细胞癌芯片数据的差异表达基因，结合生物信息学工具PANTHER、DAVID、STRING、Cytoscape对差异表达基因及其相互作用关系进行分析。结果 筛选出共差异表达基因328个，其中上调表达133个，下调表达195个。这些差异表达基因主要涉及代谢过程、生物调节、定位等生物过程，p53信号通路、胰岛素信号通路、磷脂酰肌醇信号系统、细胞凋亡等信号通路。差异表达基因编码蛋白间的相互作用主要集中在14个蛋白质（CYP2B6、CYP2E1、AKT1、CDK16、RELA、CDC27、PIK3CA、GNB1、FOXO1、FYN、PDPK1、SCAND1、SGOL1、RPH3AL）。结论 CYP2E1等14个基因可能与HCV相关性肝细胞癌的发生发展相关。

关键词: 肝细胞癌, 生物信息学, 基因表达

Abstract: Objective To analyze the differentially expressed gene profiling during the development from chronic hepatitis C to HCC. Method The research uses the gene expression profile data GDS4880 and GDS4887 of the GEO database as the analysis material to make screening of the differential expression genes of the chronic hepatitis C and the HCV related HCC’s microarray data by using Qlucore Omics Explorer software, and analyze the differential expression genes and their interaction relations by using the bioinformatics tools PANTHER, DAVID , STRING and Cytoscape. Results 328 differentially-expressed genes were screened out(133 with upward effects and 195 with downward effects). The relevant genes were mainly involved in biological pathways such as metabolic process,biological regulation,localization,p53 signaling pathway, phosphatidylinositol signaling system, insulin signaling pathway, apoptosis, etc. The interaction between encoded proteins of the differential expression gene mainly focuses on the 14 proteins（CYP2B6、CYP2E1、AKT1、CDK16、RELA、CDC27、PIK3CA、GNB1、FOXO1、FYN、PDPK1、SCAND1、SGOL1、RPH3AL）Conclusion The 14 genes may be associated with the development of HCV-related hepatocellular carcinoma.

Key words: Hepatocellular carcinoma, Bioinformatics, Gene expression