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.