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基于共表达网络分析鉴定与膀胱癌相关的枢纽基因和通路

Identification of hub genes and pathways associated with bladder cancer based on co-expression network analysis.

作者信息

Zhang Dong-Qing, Zhou Chang-Kuo, Chen Shou-Zhen, Yang Yue, Shi Ben-Kang

机构信息

Department of Urology, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China.

出版信息

Oncol Lett. 2017 Jul;14(1):1115-1122. doi: 10.3892/ol.2017.6267. Epub 2017 May 26.

Abstract

The aim of the present study was to identify hub genes and signaling pathways associated with bladder cancer (BC) utilizing centrality analysis and pathway enrichment analysis. The differentially expressed genes (DEGs) were screened from the ArrayExpress database between normal subjects and BC patients. Co-expression networks of BC were constructed using differentially co-expressed genes and links, and hub genes were investigated by degree centrality analysis of co-expression networks in BC. The enriched signaling pathways were investigated by Kyoto Encyclopedia of Genes and Genomes database analysis based on the DEGs. The hub gene expression in BC tissues was validated using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and western blotting. A total of 329 DEGs were screened, including 147 upregulated and 182 downregulated genes. The co-expression network constructed between BC and normal controls consisted of 182 nodes and 434 edges, and the two genes in each gene pair were differentially co-expressed genes. Centrality analysis of co-expression networks suggested that the top 5 hub genes with high degree included and . Pathway analysis revealed that the 329 DEGs were significantly enriched in 5 terms (cell cycle, DNA replication, oocyte meiosis, p53 signaling pathway and peroxisome proliferator-activated receptor signaling pathway). According to RT-qPCR and western blot analysis, 4/5 hub genes were significantly expressed, including ; however, was not significantly expressed. In the present study, 5 hub genes were successfully identified ( and ) and 5 biological pathways that may be underlying biomarkers for early diagnosis and treatment associated with bladder cancer were revealed.

摘要

本研究的目的是利用中心性分析和通路富集分析来鉴定与膀胱癌(BC)相关的枢纽基因和信号通路。从ArrayExpress数据库中筛选正常受试者和BC患者之间的差异表达基因(DEG)。使用差异共表达基因和连接构建BC的共表达网络,并通过对BC中共表达网络的度中心性分析来研究枢纽基因。基于DEG通过京都基因与基因组百科全书数据库分析来研究富集的信号通路。使用逆转录定量聚合酶链反应(RT-qPCR)和蛋白质印迹法验证BC组织中枢纽基因的表达。共筛选出329个DEG,包括147个上调基因和182个下调基因。BC与正常对照之间构建的共表达网络由182个节点和434条边组成,每个基因对中的两个基因是差异共表达基因。共表达网络的中心性分析表明,度值最高的前5个枢纽基因包括 和 。通路分析显示,329个DEG在5个术语(细胞周期、DNA复制、卵母细胞减数分裂、p53信号通路和过氧化物酶体增殖物激活受体信号通路)中显著富集。根据RT-qPCR和蛋白质印迹分析,5个枢纽基因中有4个显著表达,包括 ;然而, 未显著表达。在本研究中,成功鉴定出5个枢纽基因( 和 ),并揭示了5条可能是与膀胱癌相关的早期诊断和治疗潜在生物标志物的生物学通路。

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