AURKB as a Promising Prognostic Biomarker in Hepatocellular Carcinoma.

IF 1.7 4区 生物学 Q4 EVOLUTIONARY BIOLOGY Evolutionary Bioinformatics Pub Date : 2021-11-24 eCollection Date: 2021-01-01 DOI:10.1177/11769343211057589
Jingchuan Xiao, Yingai Zhang
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引用次数: 5

Abstract

The Aurora kinases form a family of 3 genes encoding serine/threonine kinases and are involved in the regulation of cell division during the mitosis. This study was designed to investigate the prognostic role of Aurora kinases in hepatocellular carcinoma (HCC). In this study, we analyzed the expression, overall survival (OS) data, promoter methylation level, and relationship with immunoinhibitors of Aurora kinases in patients with HCC from GEPIA2, UALCAN, OncoLnc, and TISIDB databases. Protein-protein interaction (PPI) network, gene ontology, Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome pathway analysis were performed using the STRING database and Cytoscape software. We found that the mRNA expression, stages of HCC, and OS of AURKA and AURKB in HCC tissues were significantly different from control tissues, but there were significant inconsistencies in promoter methylation level and relationship with immunoinhibitors for AURKA and AURKB. None of the above items were significantly different for AURKC. Furthermore, a hub module including AURKA, AURKB, and AURKC was identified within the PPI network constructed with the Molecular Complex Detection (MCODE) plug-in in Cytoscape software. Our results show that AURKB could be a potential biomarker for HCC prognosis.

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AURKB作为肝细胞癌预后的生物标志物。
Aurora激酶形成一个由3个基因组成的家族,编码丝氨酸/苏氨酸激酶,参与有丝分裂过程中细胞分裂的调节。本研究旨在探讨极光激酶在肝细胞癌(HCC)中的预后作用。在这项研究中,我们分析了来自GEPIA2、UALCAN、OncoLnc和TISIDB数据库的HCC患者中极光激酶的表达、总生存期(OS)数据、启动子甲基化水平以及与免疫抑制剂的关系。使用STRING数据库和Cytoscape软件进行蛋白质-蛋白质相互作用(PPI)网络、基因本体、京都基因与基因组百科全书(KEGG)和Reactome通路分析。我们发现,在HCC组织中,AURKA和AURKB的mRNA表达、HCC分期和OS与对照组织有显著差异,但在启动子甲基化水平及其与AURKA和AURKB免疫抑制剂的关系上存在显著不一致。以上各项在AURKC中均无显著差异。此外,在使用Cytoscape软件中的分子复合物检测(MCODE)插件构建的PPI网络中,确定了包括AURKA、AURKB和AURKC在内的枢纽模块。我们的研究结果表明,AURKB可能是HCC预后的潜在生物标志物。
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来源期刊
Evolutionary Bioinformatics
Evolutionary Bioinformatics 生物-进化生物学
CiteScore
4.20
自引率
0.00%
发文量
25
审稿时长
12 months
期刊介绍: Evolutionary Bioinformatics is an open access, peer reviewed international journal focusing on evolutionary bioinformatics. The journal aims to support understanding of organismal form and function through use of molecular, genetic, genomic and proteomic data by giving due consideration to its evolutionary context.
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