EB病毒相关枢纽基因作为预测鼻咽癌预后的潜在生物标志物

EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma.

作者信息

Ding Tengteng, Zhang Yuanbin, Ren Zhixuan, Cong Ying, Long Jingyi, Peng Manli, Faleti Oluwasijibomi Damola, Yang Yinggui, Li Xin, Lyu Xiaoming

机构信息

Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, China.

The Third School of Clinical Medicine, Southern Medical University, Guangzhou 510630, China.

出版信息

Viruses. 2023 Sep 12;15(9):1915. doi: 10.3390/v15091915.

This study aimed to develop a model using Epstein-Barr virus (EBV)-associated hub genes in order to predict the prognosis of nasopharyngeal carcinoma (NPC). Differential expression analysis, univariate regression analysis, and machine learning were performed in three microarray datasets (GSE2371, GSE12452, and GSE102349) collected from the GEO database. Three hundred and sixty-six EBV-DEGs were identified, 25 of which were found to be significantly associated with NPC prognosis. These 25 genes were used to classify NPC into two subtypes, and six genes (C16orf54, CD27, CD53, CRIP1, RARRES3, and TBC1D10C) were found to be hub genes in NPC related to immune infiltration and cell cycle regulation. It was shown that these genes could be used to predict the prognosis of NPC, with functions related to tumor proliferation and immune infiltration, making them potential therapeutic targets. The findings of this study could aid in the development of screening and prognostic methods for NPC based on EBV-related features.

本研究旨在开发一种利用爱泼斯坦-巴尔病毒（EBV）相关枢纽基因的模型，以预测鼻咽癌（NPC）的预后。在从基因表达综合数据库（GEO数据库）收集的三个微阵列数据集（GSE2371、GSE12452和GSE102349）中进行了差异表达分析、单变量回归分析和机器学习。鉴定出366个EBV差异表达基因（DEG），其中25个被发现与NPC预后显著相关。这25个基因被用于将NPC分为两个亚型，发现六个基因（C16orf54、CD27、CD53、CRIP1、RARRES3和TBC1D10C）是NPC中与免疫浸润和细胞周期调控相关的枢纽基因。结果表明，这些基因可用于预测NPC的预后，其功能与肿瘤增殖和免疫浸润相关，使其成为潜在的治疗靶点。本研究结果有助于基于EBV相关特征开发NPC的筛查和预后方法。