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基于共表达网络分析鉴定关键模块和枢纽基因,以揭示喉鳞状细胞癌的新型生物标志物。

Key modules and hub genes identified by coexpression network analysis for revealing novel biomarkers for larynx squamous cell carcinoma.

机构信息

Department of Otorhinolaryngology, Shengjing Hospital, China Medical University, Shenyang, China.

Sleep Medical Center, Shengjing Hospital, China Medical University, Shenyang, China.

出版信息

J Cell Biochem. 2019 Dec;120(12):19832-19840. doi: 10.1002/jcb.29288. Epub 2019 Jul 16.

DOI:10.1002/jcb.29288
PMID:31310372
Abstract

Larynx squamous cell carcinoma (LSCC) is the second most aggressive head and neck squamous cell carcinoma. Numerous genes have been identified to be aberrantly expressed during the development of LSCC. However, currently, researchers focus more on the individual molecule and downstream genes, leaving the coexpression among genes and key upstream disease driver genes unexploited. In this study, we applied weighted gene coexpression analysis (WGCNA) to decipher potential hub genes driving the development of LSCC. After downloading of LSCC microarray profile from gene expression omnibus, different expression analysis was performed, which was used to conduct functional enrichment analysis. Then, we applied WGCNA to highlight the hub genes which were relevant to the carcinogenesis and progression. A total of 2858 differentially expressed genes were identified in LSCC samples compared with adjacent non-neoplastic tissues. WGCNA revealed three LSCC set-specific modules having significant Kyoto Encyclopedia of Genes and Genomes enrichment effect, including pink, cyan, and black module. Nine hub genes were identified to be crucial in LSCC onset and progression, which may assist clinical decisions and serve as potential targets for LSCC treatment.

摘要

喉鳞状细胞癌 (LSCC) 是第二大侵袭性头颈部鳞状细胞癌。在 LSCC 的发展过程中,已经发现许多基因表达异常。然而,目前研究人员更多地关注单个分子和下游基因,而忽略了基因之间的共表达和关键的上游疾病驱动基因。在这项研究中,我们应用加权基因共表达网络分析(WGCNA)来破译潜在的关键基因,以驱动 LSCC 的发展。从基因表达综合数据库下载 LSCC 微阵列谱后,进行差异表达分析,用于进行功能富集分析。然后,我们应用 WGCNA 来突出与肿瘤发生和进展相关的关键基因。与相邻非肿瘤组织相比,LSCC 样本中总共鉴定出 2858 个差异表达基因。WGCNA 揭示了三个具有显著京都基因与基因组百科全书富集效应的 LSCC 特定模块,包括粉色、青色和黑色模块。鉴定出 9 个关键基因在 LSCC 的发生和进展中至关重要,它们可能有助于临床决策,并可作为 LSCC 治疗的潜在靶点。

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