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首页> 外文期刊>Oncology letters >Screening and identification of hub genes in bladder cancer by bioinformatics analysis and KIF11 is a potential prognostic biomarker
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Screening and identification of hub genes in bladder cancer by bioinformatics analysis and KIF11 is a potential prognostic biomarker

机译：通过生物信息学分析和KIF11对膀胱癌中枢基因的筛选和鉴定是一种潜在的预后生物标志物

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摘要

Bladder cancer (BC) is the ninth most common lethal malignancy worldwide. Great efforts have been devoted to clarify the pathogenesis of BC, but the underlying molecular mechanisms remain unclear. To screen for the genes associated with the progression and carcinogenesis of BC, three datasets were obtained from the Gene Expression Omnibus. A total of 37 tumor and 16 non-cancerous samples were analyzed to identify differentially expressed genes (DEGs). Subsequently, 141 genes were identified, including 55 upregulated and 86 downregulated genes. The protein-protein interaction network was established using the Search Tool for Retrieval of Interacting Genes database. Hub gene identification and module analysis were performed using Cytoscape software. Hierarchical clustering of hub genes was conducted using the University of California, Santa Cruz Cancer Genomics Browser. Among the hub genes, kinesin family member 11 (KIF11) was identified as one of the most significant prognostic biomarkers among all the candidates. The Kaplan Meier Plotter database was used for survival analysis of KIF11. The expression profile of KIF11 was analyzed using the ONCOMINE database. The expression levels of KIF11 in BC samples and bladder cells were measured using reverse transcription-quantitative pCR, immunohistochemistry and western blotting. In summary, KIF11 was significantly upregulated in BC and might act as a potential prognostic biomarker. The present identification of DEGs and hub genes in BC may provide novel insight for investigating the molecular mechanisms of BC.
机译：膀胱癌（BC）是全球第九大最常见的致命恶性肿瘤。人们一直致力于阐明BC的发病机制，但其潜在的分子机制尚不清楚。为了筛选与BC的进展和致癌相关的基因，从基因表达综合数据库中获得了三个数据集。共分析了37个肿瘤和16个非肿瘤样本，以确定差异表达基因（DEG）。随后，共鉴定出141个基因，其中55个上调基因和86个下调基因。利用互作基因数据库检索工具建立了蛋白质-蛋白质互作网络。使用Cytoscape软件进行Hub基因鉴定和模块分析。使用加利福尼亚大学圣克鲁斯基因组学浏览器进行中枢基因的分级聚类。在hub基因中，驱动蛋白家族成员11（KIF11）被确定为所有候选基因中最重要的预后生物标志物之一。Kaplan-Meier绘图仪数据库用于KIF11的生存分析。使用ONCOMINE数据库分析KIF11的表达谱。采用逆转录定量pCR、免疫组织化学和western印迹法检测膀胱癌标本和膀胱细胞中KIF11的表达水平。总之，KIF11在BC中显著上调，可能作为一种潜在的预后生物标志物。目前对BC中DEGs和hub基因的鉴定可能为研究BC的分子机制提供新的见解。

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  • 来源
    《Oncology letters》 |2021年第3期|共10页
  • 作者

    Mo Xiao-Cong; Zhang Zi-Tong; Song Meng-Jia; Zhou Zi-Qi; Zeng Jian-Xiong; Du Yu-Fei; Sun Feng-Ze; Yang Jie-Ying; He Jun-Yi; Huang Yue; Xia Jian-Chuan; Weng De-Sheng;

  • 作者单位

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

    Sun Yat Sen Univ Canc Ctr Collaborat Innovat Ctr Canc Med State Key Lab Oncol South China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 肿瘤学;
  • 关键词

    bladder cancer; bioinformatics analysis; kinesin family member 11; biomarker;

    机译：膀胱癌;生物信息学分析;驱动蛋白家族成员11;生物标志物;

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