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

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, GS...

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Main Authors: Tengteng Ding, Yuanbin Zhang, Zhixuan Ren, Ying Cong, Jingyi Long, Manli Peng, Oluwasijibomi Damola Faleti, Yinggui Yang, Xin Li, Xiaoming Lyu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Viruses
Subjects:
Online Access:https://www.mdpi.com/1999-4915/15/9/1915
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author Tengteng Ding
Yuanbin Zhang
Zhixuan Ren
Ying Cong
Jingyi Long
Manli Peng
Oluwasijibomi Damola Faleti
Yinggui Yang
Xin Li
Xiaoming Lyu
author_facet Tengteng Ding
Yuanbin Zhang
Zhixuan Ren
Ying Cong
Jingyi Long
Manli Peng
Oluwasijibomi Damola Faleti
Yinggui Yang
Xin Li
Xiaoming Lyu
author_sort Tengteng Ding
collection DOAJ
description 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.
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spelling doaj.art-a08f7caf95814f04bf9182aa5efbf66d2023-11-19T13:23:31ZengMDPI AGViruses1999-49152023-09-01159191510.3390/v15091915EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal CarcinomaTengteng Ding0Yuanbin Zhang1Zhixuan Ren2Ying Cong3Jingyi Long4Manli Peng5Oluwasijibomi Damola Faleti6Yinggui Yang7Xin Li8Xiaoming Lyu9Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, ChinaShenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, ChinaDepartment of Radiation Oncology, Huadong Hospital, Fudan University, Shanghai 200040, ChinaShenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, ChinaThe Third School of Clinical Medicine, Southern Medical University, Guangzhou 510630, ChinaShenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, ChinaThe Third School of Clinical Medicine, Southern Medical University, Guangzhou 510630, ChinaShenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, ChinaShenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital of Southern Medical University, Shenzhen 518100, ChinaThe Third School of Clinical Medicine, Southern Medical University, Guangzhou 510630, ChinaThis 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.https://www.mdpi.com/1999-4915/15/9/1915Epstein–Barr virusnasopharyngeal carcinomaprognosishub genes
spellingShingle Tengteng Ding
Yuanbin Zhang
Zhixuan Ren
Ying Cong
Jingyi Long
Manli Peng
Oluwasijibomi Damola Faleti
Yinggui Yang
Xin Li
Xiaoming Lyu
EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma
Viruses
Epstein–Barr virus
nasopharyngeal carcinoma
prognosis
hub genes
title EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma
title_full EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma
title_fullStr EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma
title_full_unstemmed EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma
title_short EBV-Associated Hub Genes as Potential Biomarkers for Predicting the Prognosis of Nasopharyngeal Carcinoma
title_sort ebv associated hub genes as potential biomarkers for predicting the prognosis of nasopharyngeal carcinoma
topic Epstein–Barr virus
nasopharyngeal carcinoma
prognosis
hub genes
url https://www.mdpi.com/1999-4915/15/9/1915
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