Wang Hanqing, Zhou Lei, Yang Yang, Luo Bing
Department of Pathogenic Biology, Qingdao University, School of Basic Medicine, Shandong, 308 NingXia Road, Qingdao, 266021, China.
Department of Pathology, Qingdao Municipal Hospital, Shandong, 266021, China; 5 Donghaizhong Road, Qingdao, 266071, China.
Pathol Res Pract. 2021 Jun;222:153439. doi: 10.1016/j.prp.2021.153439. Epub 2021 Apr 9.
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.
爱泼斯坦-巴尔病毒（EBV）感染与胃癌（GC）密切相关。在本研究中，我们使用来自基因表达综合数据库（GEO）数据集GSE51575的数据，通过多种生物信息学分析，确定了EBVaGC（EBV相关胃癌）和EBVnGC（EBV阴性胃癌）之间的一组差异表达基因（DEGs），并确定了十个核心基因（CXCL10、C3、CXCL9、CXCL11、SST、ICAM1、CHRM2、NPY、GBP5和GBP1）。因此，我们进行了相关的生存分析和免疫浸润分析，然后在GC细胞系和TCGA数据库中验证了mRNA表达。最终选择CXCL11作为预后较好和肿瘤浸润的潜在生物标志物。这可能为EBVaGC的免疫治疗提供新的视角。
