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通过综合分析鉴定胆管癌(CCA)中涉及的转录因子(TFs)及其靶标。

Identification of transcription factors (TFs) and targets involved in the cholangiocarcinoma (CCA) by integrated analysis.

作者信息

Yang L, Feng S, Yang Y

机构信息

Department of General Surgery, Affiliated Hospital of Taishan Medical University, Tai'an City, China.

出版信息

Cancer Gene Ther. 2016 Dec;23(12):439-445. doi: 10.1038/cgt.2016.64. Epub 2016 Nov 18.

Abstract

The present study was designed to investigate the upstream transcription factors (TFs) and the signature genes in cholangiocarcinoma (CCA), providing better clues on the regulatory mechanisms and therapeutic applications. Gene expression data sets of CCA were searched in the Gene Expression Omnibus database for integrated analysis. Functional annotation of differently expressed genes (DEGs) was then conducted and the TFs were identified. Moreover, a global transcriptional regulatory network of TFs-targets was constructed. Integrated analysis of five eligible Gene Expression Omnibus data sets led to a set of 993 DEGs and 48 TFs in CCA. The constructed TFs-targets regulatory network consisted of 697 TF-target interactions between 41 TFs and 436 DEGs. The top 10 TFs covering the most downstream DEGs were NFATC2, SOX10, ARID3A, ZNF263, NR4A2, GATA3, EGR1, PLAG1, STAT3 and FOSL1, which may have important roles in the tumorigenesis of CCA. Supporting the fact that defects of cell-cycle surveillance mechanism were closely related to various cancers, we found that cell cycle was the most significantly enriched pathway. KCNN2 and ADCY6 were involved in the bile secretion. Thus, their aberrant expression may be closely related to the pathogenesis of CCA. Particularly, we found that upregulation of EZH2 in CCA is a powerful potential marker for CCA.

摘要

本研究旨在探究胆管癌(CCA)中的上游转录因子(TFs)和特征基因,为其调控机制和治疗应用提供更好的线索。在基因表达综合数据库中搜索CCA的基因表达数据集以进行综合分析。然后对差异表达基因(DEGs)进行功能注释并鉴定TFs。此外,构建了TFs-靶标的全局转录调控网络。对五个符合条件的基因表达综合数据集进行综合分析,得到了一组993个DEGs和48个TFs。构建的TFs-靶标调控网络由41个TFs和436个DEGs之间的697个TF-靶标相互作用组成。覆盖最下游DEGs的前10个TFs为NFATC2、SOX10、ARID3A、ZNF263、NR4A2、GATA3、EGR1、PLAG1、STAT3和FOSL1,它们可能在CCA的肿瘤发生中起重要作用。支持细胞周期监测机制缺陷与各种癌症密切相关这一事实,我们发现细胞周期是最显著富集的通路。KCNN2和ADCY6参与胆汁分泌。因此,它们的异常表达可能与CCA的发病机制密切相关。特别地,我们发现CCA中EZH2的上调是CCA的一个有力潜在标志物。

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