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

Author:

Salnikov Mikhail Y.1ORCID,Wang Eric2,Christensen Erik34,Prusinkiewicz Martin A.1ORCID,Shooshtari Parisa2345ORCID,Mymryk Joe S.1678ORCID

Affiliation:

1. Department of Microbiology and Immunology, Western University, London, ON N6A 3K7, Canada

2. Department of Pathology and Laboratory Medicine, Western University, London, ON N6A 3K7, Canada

3. Department of Computer Science, Western University, London, ON N6A 5B7, Canada

4. Children’s Health Research Institute, Lawson Health Research Institute, London, ON N6A 5W9, Canada

5. The Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada

6. Department of Oncology, Western University, London, ON N6A 3K7, Canada

7. London Regional Cancer Program, Lawson Health Research Institute, London, ON N6A 5W9, Canada

8. Department of Otolaryngology, Western University, London, ON N6A 5W9, Canada

Abstract

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.

Funder

Canadian Institutes of Health Research

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

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