Screening and identification of key genes in EBV-associated gastric carcinoma based on bioinformatics analysis.

Abstract

Epstein-Barr virus (EBV) infection is closely related to gastric carcinoma (GC). In this study, we identified a set of DEGs (different expression genes) between EBVaGC (EBV-associated gastric carcinoma) and EBVnGC (EBV-negative gastric carcinoma) through multiple bioinformatics analysis using the data from GEO (Gene Expression Omnibus) dataset GSE51575, and identified ten hub genes (CXCL10, C3, CXCL9, CXCL11, SST, ICAM1, CHRM2, NPY, GBP5 and GBP1). Therefore, we performed relevant survival analysis and immune infiltration analysis, then verified the mRNA expression in GC cell lines and TCGA database. CXCL11 was finally selected to be a potential biomarker for a better prognosis and tumor infiltrating. This may provide a new view about immune therapy for EBVaGC.

• Authors: Hanqing Wang, Lei Zhou, Yang Yang, Bing Luo
• Journal: Pathology, research and practice (Pathol Res Pract) Vol. 222 Pg. 153439 (Jun 2021) ISSN: 1618-0631 [Electronic] Germany
• PMID: 34020134 (Publication Type: Journal Article)
• Copyright: Copyright © 2021 Elsevier GmbH. All rights reserved.

Topics

• Carcinoma (genetics, virology)
• Computational Biology (methods)
• Gene Expression Regulation, Neoplastic (genetics)
• Herpesvirus 4, Human (genetics)
• Humans
• Prognosis
• Stomach Neoplasms (genetics, pathology, virology)
• Virus Diseases (genetics)