{"title":"通过微阵列数据分析探讨结外自然杀伤/T细胞淋巴瘤合并EBV的发病机制","authors":"Yin-yin Peng, Xiao-qiong Tang, Xin Wang","doi":"10.1016/j.leukres.2025.107909","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>To identify the common genes playing roles in the development of both the Extranodal Natural Killer/T-cell lymphoma (ENKL) and Epstein-Barr virus (EBV), and to analyze their enrichment, protein-protein interaction (PPI) nework, and their hub genes.</div></div><div><h3>Methods</h3><div>We analyzed the differential expressed genes (DEGs) of data sets GSE85599 and GSE169644 from the Gene Expression Omnibus (GEO) database using its GEO2R tool, analyzed the PPI network of DEGs using STRING database, analyzed the hub genes using Cytoscape software, and analyzed the enrichment of DEGs using DAVID database.</div></div><div><h3>Results</h3><div>We identified 152 DEGs, and 14 hub genes among them, including TOP2A, AURKB, CDC20, MCM4, CCNB1, TYMS, FEN1, RRM2, CCNA2, MCM3, KIF11, BUB1, MCM6 and CDC6. PPI network and enrichment analysis show that DEGs are highly relavant with the process related with nucleus.</div></div><div><h3>Conclusions</h3><div>In this study we identified the common DEGs of ENKL and EBV infections, found 14 hub DEGs that may mediate between them. Hope this study could provide new insights for further study of the molecular mechanism between EBV infection and ENKL.</div></div>","PeriodicalId":18051,"journal":{"name":"Leukemia research","volume":"156 ","pages":"Article 107909"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the pathogenesis of extranodal natural killer/T cell lymphoma complicated With EBV via microarray data analysis\",\"authors\":\"Yin-yin Peng, Xiao-qiong Tang, Xin Wang\",\"doi\":\"10.1016/j.leukres.2025.107909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>To identify the common genes playing roles in the development of both the Extranodal Natural Killer/T-cell lymphoma (ENKL) and Epstein-Barr virus (EBV), and to analyze their enrichment, protein-protein interaction (PPI) nework, and their hub genes.</div></div><div><h3>Methods</h3><div>We analyzed the differential expressed genes (DEGs) of data sets GSE85599 and GSE169644 from the Gene Expression Omnibus (GEO) database using its GEO2R tool, analyzed the PPI network of DEGs using STRING database, analyzed the hub genes using Cytoscape software, and analyzed the enrichment of DEGs using DAVID database.</div></div><div><h3>Results</h3><div>We identified 152 DEGs, and 14 hub genes among them, including TOP2A, AURKB, CDC20, MCM4, CCNB1, TYMS, FEN1, RRM2, CCNA2, MCM3, KIF11, BUB1, MCM6 and CDC6. PPI network and enrichment analysis show that DEGs are highly relavant with the process related with nucleus.</div></div><div><h3>Conclusions</h3><div>In this study we identified the common DEGs of ENKL and EBV infections, found 14 hub DEGs that may mediate between them. Hope this study could provide new insights for further study of the molecular mechanism between EBV infection and ENKL.</div></div>\",\"PeriodicalId\":18051,\"journal\":{\"name\":\"Leukemia research\",\"volume\":\"156 \",\"pages\":\"Article 107909\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Leukemia research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0145212625002693\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leukemia research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0145212625002693","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEMATOLOGY","Score":null,"Total":0}
Exploring the pathogenesis of extranodal natural killer/T cell lymphoma complicated With EBV via microarray data analysis
Objectives
To identify the common genes playing roles in the development of both the Extranodal Natural Killer/T-cell lymphoma (ENKL) and Epstein-Barr virus (EBV), and to analyze their enrichment, protein-protein interaction (PPI) nework, and their hub genes.
Methods
We analyzed the differential expressed genes (DEGs) of data sets GSE85599 and GSE169644 from the Gene Expression Omnibus (GEO) database using its GEO2R tool, analyzed the PPI network of DEGs using STRING database, analyzed the hub genes using Cytoscape software, and analyzed the enrichment of DEGs using DAVID database.
Results
We identified 152 DEGs, and 14 hub genes among them, including TOP2A, AURKB, CDC20, MCM4, CCNB1, TYMS, FEN1, RRM2, CCNA2, MCM3, KIF11, BUB1, MCM6 and CDC6. PPI network and enrichment analysis show that DEGs are highly relavant with the process related with nucleus.
Conclusions
In this study we identified the common DEGs of ENKL and EBV infections, found 14 hub DEGs that may mediate between them. Hope this study could provide new insights for further study of the molecular mechanism between EBV infection and ENKL.
期刊介绍:
Leukemia Research an international journal which brings comprehensive and current information to all health care professionals involved in basic and applied clinical research in hematological malignancies. The editors encourage the submission of articles relevant to hematological malignancies. The Journal scope includes reporting studies of cellular and molecular biology, genetics, immunology, epidemiology, clinical evaluation, and therapy of these diseases.