EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma
Tengteng Ding,
Yuanbin Zhang,
Zhixuan Ren,
Ying Cong,
Jingyi Long,
Manli Peng,
Oluwasijibomi Damola Faleti,
Yinggui Yang,
Xin Li,
Xiaoming Lyu
Affiliations
Tengteng Ding
Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, China
Yuanbin Zhang
Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, China
Zhixuan Ren
Department of Radiation Oncology, Huadong Hospital, Fudan University, Shanghai 200040, China
Ying Cong
Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, China
Jingyi Long
The Third School of Clinical Medicine, Southern Medical University, Guangzhou 510630, China
Manli Peng
Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, China
Oluwasijibomi Damola Faleti
The Third School of Clinical Medicine, Southern Medical University, Guangzhou 510630, China
Yinggui Yang
Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, China
Xin Li
Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, China
Xiaoming Lyu
The Third School of Clinical Medicine, Southern Medical University, Guangzhou 510630, China
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.
