Aberrantly methylated-differentially expressed genes and pathways in Epstein-Barr virus-associated gastric cancer

The EBV Gastric Cancer Resource (EBV-GCR): A Suite of Tools for Investigating EBV-Associated Human Gastric Carcinogenesis

Epstein-Barr virus (EBV) causes lifelong infection in over 90% of the world’s population. EBV infection leads to several types of B cell and epithelial cancers due to the viral reprogramming of host-cell growth and gene expression. EBV is associated with 10% of stomach/gastric adenocarcinomas (EBVaGCs), which have distinct molecular, pathological, and immunological characteristics compared to EBV-negative gastric adenocarcinomas (EBVnGCs). Publicly available datasets, such as The Cancer Genome Atlas (TCGA), contain comprehensive transcriptomic, genomic, and epigenomic data for thousands of primary human cancer samples, including EBVaGCs. Additionally, single-cell RNA-sequencing data are becoming available for EBVaGCs. These resources provide a unique opportunity to explore the role of EBV in human carcinogenesis, as well as differences between EBVaGCs and their EBVnGC counterparts. We have constructed a suite of web-based tools called the EBV Gastric Cancer Resource (EBV-GCR), which utilizes TCGA and single-cell RNA-seq data and can be used for research related to EBVaGCs. These web-based tools allow investigators to gain in-depth biological and clinical insights by exploring the effects of EBV on cellular gene expression, associations with patient outcomes, immune landscape features, and differential gene methylation, featuring both whole-tissue and single-cell analyses.

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

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.

Expression of MAP9 in Epstein-Barr virus-associated gastric carcinoma

Epstein-Barr virus (EBV)-associated gastric carcinoma (GC) comprises approximately 9% of all cases of GC. EBV-associated GC (EBVaGC) has characteristic clinicopathological features for a favorable prognosis. Microtubule-associated protein 9 (MAP9) is a cell cycle-associated gene required for bipolar spindle assembly, mitosis progression, and cytokinesis. Nevertheless, to date, there have been no reports on MAP9 function in EBVaGC. In this study, we demonstrated that the mRNA and protein levels of MAP9 were up-regulated in EBV-positive gastric carcinoma cell lines. The positive rate of MAP9 expression in EBVaGC tissues was shown to be significantly higher than that in EBV-negative gastric carcinoma (EBVnGC) tissues. Additionally, the expression of MAP9 was partly increased in EBVnGC cell lines by interfering with DNA methyltransferase 1 (DNMT1) or treated with 5-aza-2'-deoxycytidine. Thus, EBV may regulate MAP9 expression by modifying the methylation of MAP9 CpG islands through DNMT1. By inhibiting the expression of MAP9 with small interfere sequence in the EBV-positive GC cell line GT38 and overexpressing MAP9 in the EBV-negative GC cell line AGS, we demonstrated that MAP9 inhibited the growth and induced apoptosis of EBVaGC cells significantly. In conclusion, our study demonstrated that EBV can up-regulate the expression of MAP9 in EBVaGC, and the methylation of MAP9 CpG islands influences this regulation. And MAP9 acts as a tumor suppressor in the development of EBVaGC.