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Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis.
Cancer Genetics ( IF 1.4 ) Pub Date : 2020-02-01 , DOI: 10.1016/j.cancergen.2020.01.052
Haijun Wang 1 , Jia Liu 2 , Jinsong Li 3 , Dan Zang 3 , Xiaohui Wang 3 , Yiyang Chen 3 , Tengteng Gu 2 , Wei Su 3 , Na Song 4
Affiliation  

Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality in the world, in which colon adenocarcinoma (COAD) is the most common histological subtype of CRC. In this study, our aim is to identify gene modules and representative candidate biomarkers for clinical prognosis of patients with COAD, and help to predict prognosis and reveal the mechanisms of cancer progression. Weighted gene co-expression network analysis (WGCNA) was performed to construct a co-expression network and identify gene modules correlated with TNM clinical staging of COAD patients. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed with the module gene. Protein-protein interaction (PPI) network and hub gene identification were explored with Cytoscape software. Finally, the hub gene mRNA level was validated in Oncomine database. Five gene modules, related with the pathological TNM stage, were constructed, and the gene module was enriched in cell proliferation, invasion and migration related GO terms and metabolic related KEGG pathways. A total of top 10 hub genes was identified, and in which six of the hub genes show a significant up-regulation in COAD as compared to normal tissue, including IVL, KRT16, KRT6C, KRT6A, KRT78 and SBSN. In conclusion, we identified five gene modules and six candidate biomarkers correlated with the TNM staging of COAD patients. These findings may help us to understand the tumor progression of COAD and provide prognostic biomarkers as well as therapeutic targets.



中文翻译:

基于WGCNA分析鉴定与病理分期相关的结肠腺癌基因模块和中枢基因。

大肠癌(CRC)是世界上与癌症相关的死亡率的主要原因之一,其中结肠腺癌(COAD)是CRC的最常见组织学亚型。在这项研究中,我们的目的是鉴定用于COAD患者临床预后的基因模块和代表性候选生物标志物,并有助于预测预后并揭示癌症进展的机制。进行加权基因共表达网络分析(WGCNA)以构建共表达网络,并鉴定与COAD患者的TNM临床分期相关的基因模块。使用模块基因进行了基因本体论(GO)和《京都基因与基因组百科全书》(KEGG)途径分析。使用Cytoscape软件探索蛋白质间相互作用(PPI)网络和中心基因鉴定。最后,在Oncomine数据库中验证了毂基因mRNA水平。构建了与病理TNM分期有关的五个基因模块,并丰富了细胞增殖,侵袭和迁移相关的GO术语以及代谢相关的KEGG途径。总共鉴定出前10个中枢基因,其中有6个中枢基因在COAD中与正常组织(包括IVL,KRT16,KRT6C,KRT6A,KRT78和SBSN)相比显着上调。总之,我们鉴定了与COAD患者的TNM分期相关的五个基因模块和六个候选生物标记。这些发现可能有助于我们了解COAD的肿瘤进展,并提供预后生物标志物以及治疗靶标。该基因模块丰富了细胞增殖,侵袭和迁移相关的GO术语以及代谢相关的KEGG途径。总共鉴定出前10个中枢基因,其中有6个中枢基因在COAD中与正常组织(包括IVL,KRT16,KRT6C,KRT6A,KRT78和SBSN)相比显着上调。总之,我们鉴定了与COAD患者的TNM分期相关的五个基因模块和六个候选生物标记。这些发现可能有助于我们了解COAD的肿瘤进展,并提供预后生物标志物以及治疗靶标。该基因模块丰富了细胞增殖,侵袭和迁移相关的GO术语以及代谢相关的KEGG途径。总共鉴定出前10个中枢基因,其中有6个中枢基因在COAD中与正常组织(包括IVL,KRT16,KRT6C,KRT6A,KRT78和SBSN)相比显着上调。总之,我们鉴定了与COAD患者的TNM分期相关的五个基因模块和六个候选生物标记。这些发现可能有助于我们了解COAD的肿瘤进展,并提供预后生物标志物以及治疗靶标。并且其中的6个中枢基因与正常组织相比在COAD中显示出明显的上调,​​包括IVL,KRT16,KRT6C,KRT6A,KRT78和SBSN。总之,我们鉴定了与COAD患者的TNM分期相关的五个基因模块和六个候选生物标记。这些发现可能有助于我们了解COAD的肿瘤进展,并提供预后生物标志物以及治疗靶标。并且其中的6个中枢基因与正常组织相比在COAD中显示出明显的上调,​​包括IVL,KRT16,KRT6C,KRT6A,KRT78和SBSN。总之,我们鉴定了与COAD患者的TNM分期相关的五个基因模块和六个候选生物标记。这些发现可能有助于我们了解COAD的肿瘤进展,并提供预后生物标志物以及治疗靶标。

更新日期:2020-02-01
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