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识别肝细胞癌中的枢纽基因和失调通路。

Identifying hub genes and dysregulated pathways in hepatocellular carcinoma.

作者信息

Jin B, Wang W, Du G, Huang G-Z, Han L-T, Tang Z-Y, Fan D-G, Li J, Zhang S-Z

机构信息

The Department of General Surgery, Qilu Hospital of Shandong University, Jinan, China.

出版信息

Eur Rev Med Pharmacol Sci. 2015 Feb;19(4):592-601.

Abstract

OBJECTIVE

The aim of this study was to identify the hub genes and dysregulated pathways of hepatocellular carcinoma (HCC) and explore the molecular mechanism of the biological process associated with HCC.

MATERIALS AND METHODS

Microarray data were got from NCBI Gene Expression Omnibus (GEO) database. The most significant top 100 up-regulated gene signatures and top 100 down-regulated gene signatures were identified by integrated analysis of the multiple microarray datasets using a novel model genome-wide relative significance (GWRS) and genome-wide global significance (GWGS). Gene Ontology (GO) enrichment analysis and pathway analysis of those genes were performed based on Gene Ontology website and Kyoto Encyclopedia of Genes and Genomes (KEGG). Protein-protein interaction (PPI) network was constructed using Cytoscape 2.1. In addition, we analysed the significantly dysregulated signaling pathways across the PPI network and KEGG pathway analysis.

RESULTS

We screened 2920 up-regulated and 2231 down-regulated gene signatures across multiple studies by GWRS and GWGS. The top 100 up-regulated and top 100 down-regulated gene signatures were selected for further research. GO enrichment analysis showed that these genes significantly enriched in terms of mitosis (p = 5.83×10-20), nuclear division (p = 5.83×10-20) and M phase of mitotic cell cycle (p = 9.39×10-20). The most significant terms of KEGG pathway included cell cycle (p = 1.33×10-8), oocyte meiosis (p = 1.41×10-4), drug metabolism (p = 2.15×10-4) and p53 signaling pathway (p = 3.57×10-4). PPI network suggested that BIRC5, CDC20, CCNB1, BUB1B, MAD2L1 and CDK1 were important significant genes which were considered as hub genes. Across the PPI and pathway, cell cycle, oocyte meiosis and p53 signaling pathway were the significantly dysregulated pathways.

CONCLUSIONS

Our study displayed robust gene signatures in HCC. It showed that the dysregulations of cell cycle, oocyte meiosis, p53 signaling pathway and progesterone-mediated oocyte maturation pathway were closely associated to the development and progression of HCC. Besides, genes BIRC5, CDC20, CCNB1, BUB1B, MAD2L1 and CDK1 as the hub genes might play important roles for diagnosing and therapy of HCC.

摘要

目的

本研究旨在识别肝细胞癌(HCC)的枢纽基因和失调通路,并探索与HCC相关的生物学过程的分子机制。

材料与方法

从NCBI基因表达综合数据库(GEO)获取微阵列数据。使用一种新的全基因组相对显著性(GWRS)和全基因组全局显著性(GWGS)模型,通过对多个微阵列数据集的综合分析,确定了最显著的前100个上调基因特征和前100个下调基因特征。基于基因本体论网站和京都基因与基因组百科全书(KEGG)对这些基因进行基因本体论(GO)富集分析和通路分析。使用Cytoscape 2.1构建蛋白质-蛋白质相互作用(PPI)网络。此外,我们分析了PPI网络和KEGG通路分析中显著失调的信号通路。

结果

通过GWRS和GWGS在多项研究中筛选出2920个上调基因特征和2231个下调基因特征。选择前100个上调和前100个下调基因特征进行进一步研究。GO富集分析表明,这些基因在有丝分裂(p = 5.83×10-20)、核分裂(p = 5.83×10-20)和有丝分裂细胞周期的M期(p = 9.39×10-20)方面显著富集。KEGG通路中最显著的条目包括细胞周期(p = 1.33×10-8)、卵母细胞减数分裂(p = 1.41×10-4)、药物代谢(p = 2.15×10-4)和p53信号通路(p = 3.57×10-4)。PPI网络表明,BIRC5、CDC20、CCNB1、BUB1B、MAD2L1和CDK1是重要的显著基因,被视为枢纽基因。在PPI和通路分析中,细胞周期、卵母细胞减数分裂和p53信号通路是显著失调的通路。

结论

我们的研究展示了HCC中强大的基因特征。结果表明,细胞周期、卵母细胞减数分裂、p53信号通路和孕酮介导的卵母细胞成熟通路的失调与HCC的发生和发展密切相关。此外,作为枢纽基因的BIRC5、CDC20、CCNB1、BUB1B、MAD2L1和CDK1基因可能在HCC的诊断和治疗中发挥重要作用。

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