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通过综合生物信息学分析鉴定与黑色素瘤发生相关的枢纽基因

Identification of Hub Genes Associated With Melanoma Development by Comprehensive Bioinformatics Analysis.

作者信息

Jiang Jie, Liu Chong, Xu Guoyong, Liang Tuo, Yu Chaojie, Liao Shian, Zhang Zide, Lu Zhaojun, Wang Zequn, Chen Jiarui, Chen Tianyou, Li Hao, Zhan Xinli

机构信息

Spinal Orthopedic Ward, The First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, China.

出版信息

Front Oncol. 2021 Apr 12;11:621430. doi: 10.3389/fonc.2021.621430. eCollection 2021.

DOI:10.3389/fonc.2021.621430
PMID:33912448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8072149/
Abstract

INTRODUCTION

This study aimed to identify important genes associated with melanoma to further develop new target gene therapies and analyze their significance concerning prognosis.

MATERIALS AND METHODS

Gene expression data for melanoma and normal tissue were downloaded from three databases. Differentially co-expressed genes were identified by WGCNA and DEGs analysis. These genes were subjected to GO, and KEGG enrichment analysis and construction of the PPI visualized with Cytoscape and screened for the top 10 Hub genes using CytoHubba. We validated the Hub gene's protein levels with an immunohistochemical assay to confirm the accuracy of our analysis.

RESULTS

A total of 435 differentially co-expressed genes were obtained. Survival curves showed that high expression of FOXM1,\ EXO1, KIF20A, TPX2, and CDC20 in melanoma patients with 5 of the top 10 hub genes was associated with reduced overall survival (OS). Immunohistochemistry showed that all five genes were expressed at higher protein levels in melanoma than in paracancerous tissues.

CONCLUSION

FOXM1, EXO1, KIF20A, TPX2, and CDC20 are prognosis-associated core genes of melanoma, and their high expression correlates with the low prognosis of melanoma patients and can be used as biomarkers for melanoma diagnosis, treatment, and prognosis prediction.

摘要

引言

本研究旨在鉴定与黑色素瘤相关的重要基因，以进一步开发新的靶基因疗法，并分析它们在预后方面的意义。

材料与方法

从三个数据库下载黑色素瘤和正常组织的基因表达数据。通过加权基因共表达网络分析（WGCNA）和差异表达基因（DEGs）分析鉴定差异共表达基因。对这些基因进行基因本体论（GO）和京都基因与基因组百科全书（KEGG）富集分析，并用Cytoscape构建蛋白质-蛋白质相互作用（PPI）网络并可视化，并使用CytoHubba筛选出前10个枢纽基因。我们通过免疫组织化学检测验证了枢纽基因的蛋白质水平，以确认我们分析的准确性。

结果

共获得435个差异共表达基因。生存曲线显示，黑色素瘤患者中前10个枢纽基因中的5个基因，即叉头框M1（FOXM1）、核酸外切酶1（EXO1）、驱动蛋白家族成员20A（KIF20A）、微管蛋白紫杉醇相互作用蛋白2（TPX2）和细胞分裂周期蛋白20（CDC20）的高表达与总生存期（OS）缩短相关。免疫组织化学显示，这五个基因在黑色素瘤中的蛋白质表达水平均高于癌旁组织。

结论

FOXM1、EXO1、KIF20A、TPX2和CDC20是黑色素瘤的预后相关核心基因，它们的高表达与黑色素瘤患者的低预后相关，可作为黑色素瘤诊断、治疗和预后预测的生物标志物。

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