实用肝脏病杂志 ›› 2023, Vol. 26 ›› Issue (1): 95-99.doi: 10.3969/j.issn.1672-5069.2023.01.025

• 肝癌 • 上一篇    下一篇

HCC组织CDC20表达及其与发病机制的关系研究*

邹春燕, 何焰鹏, 柴秀坤, 谢长顺, 李莉, 付丽坤   

  1. 006660 河北省秦皇岛市第一医院消化内科(邹春燕,谢长顺,李莉,付丽坤);急诊内科(何焰鹏);河北医科大学第二医院消化内科(柴秀坤)
  • 收稿日期:2022-01-26 出版日期:2023-01-10 发布日期:2023-02-07
  • 通讯作者: 何焰鹏,E-mail:544842602@qq.com
  • 作者简介:邹春燕,女,35岁,医学硕士,主治医师。E-mail:zouchunyan0205@163.com
  • 基金资助:
    *秦皇岛市科研基金资助项目(编号:201703A061)

Pathogenesis of hepatocellular carcinoma associated with CDC20 expression

Zou Chunyan, He Yanpeng, Chai Xiukun, et al   

  1. Department of Gastroenterology, First Hospital, Qinhuangdao 006660, Hebei Province, China
  • Received:2022-01-26 Online:2023-01-10 Published:2023-02-07

摘要: 目的 肝细胞癌(HCC)是世界上最常见的肝恶性肿瘤之一。HCC的病因和潜在的分子事件尚不清楚。我们应用综合生物信息学技术识别与HCC相关的关键致病基因细胞分裂周期20(CDC20),并揭示其潜在的分子机制。方法 从Gene Expression Omnibus (GEO)数据库下载GSE36376基因表达谱,共433个样本,其中HCC组织240例,正常肝组织193例,用综合生物信息学方法进行深入分析。应用RStudio中的R软件筛选HCC和正常肝组织差异表达基因(DEG),从STRING数据库中构建DEG的蛋白质-蛋白质相互作用(PPI)网络,应用Metascape在线工具进行富集分析,采用MCODE法对Hub基因进行鉴定。结果 筛选GSE36376数据集得到706个DEG,其中共鉴定出554个下调基因和152个上调基因;从PPI网络中鉴定出DEG关系基因,显著上调基因是UBE2C、CDC20、COL4A1、NUSAP1、HSP90AB1和CDKN3;Metascape富集分析表明,在GO生物过程中,主要集中在小分子分解代谢过程、一元羧酸代谢过程、类固醇代谢过程、辅因子代谢过程、药物分解代谢过程、初级酒精代谢过程、对有毒物质的反应、有机阴离子转运、单糖代谢过程、芳香族氨基酸家族代谢过程、解毒作用、伯醇分解代谢过程和有机环状化合物分解代谢过程等;在KEGG 信号通路中,主要集中在碳代谢、脂肪酸降解、补体和凝血级联、色氨酸代谢和过氧物酶体等过程;MCODE分析显示Hub基因是UBE2C、CDC20和HSP90AB1。结论 应用综合生物信息学方法筛选出的CDC20基因是HCC发生发展的关键基因,对HCC的早期诊断和预防具有临床意义,为HCC的防治提供了有效的靶点。

关键词: 肝细胞癌, 细胞分裂周期20, GEO数据, 差异表达基因

Abstract: Objective Hepatocellular carcinoma (HCC) is one of the most common liver malignancies in the world. The etiology and molecular events HCC are still unclear. We tried to identify the key pathogenic gene, the cell division cycle 20 (CDC20) by comprehensive bioinformatics, which was related to the pathogenesis of HCC with certain underlying molecular mechanism. Methods We downloaded GSE36376 gene expression profile from Gene Expression Omnibus (GEO) database, found 433 samples, of which 240 HCC tissues and 193 of normal liver tissues, and were analyzed by comprehensive bioinformatics. The R software in RStudio was applied to screen the differential gene expression (DEG) in HCC and normal liver tissues, and the protein-protein interaction (PPI) network of DEG was constructed from the STRING database. The Metascape online tool was applied to carry out enrichment analysis, at the same time, the MCODE was used to identify Hub gene. Results The GSE36376 data was screened to get 706 DEGs, among them, a total of 554 down-regulated genes and 152 up-regulated genes were identified; the significant up-regulated genes were UBE2C, CDC20, COL4A1, NUSAP1, HSP90AB1, and CDKN3 from the PPI network; the Metascape enrichment analysis showed that in the GO biological process, it was mainly concentrated in the small molecule catabolism, the monocarboxylic acid metabolism, the steroid metabolism, the cofactor metabolism, the drug catabolism, the primary alcohol metabolism, and the effects of toxic substances; it also involved the organic anion transport, monosaccharide metabolism, aromatic amino acid family metabolism, detoxification, primary alcohol catabolism, and organic cyclic compound catabolism, etc; as for the KEGG signal pathway, it was mainly focused on carbon metabolism, fatty acid degradation, complement and coagulation cascade, tryptophan metabolism and peroxisomes, etc; the Hub genes were UBE2C, CDC20 and HSP90AB1 from MCODE. Conclusion The CDC20 gene obtained by comprehensive bioinformatics is a key gene for pathogenesis of HCC, which might be important for early diagnosis and therapeutic target.

Key words: Hepatocellular carcinoma, Cell division cycle 20, GEO database, Differential gene expression