# Network strategies to study Epstein-Barr virus associated carcinomas and potential etiological mechanisms for oncogenesis

**Authors:** S. Chatterjee, B. S. Sanjeev  
**arXiv:** [2208.00471](https://arxiv.org/abs/2208.00471)  
**Date:** 2022-07-31  
**Summary page:** https://www.summarizepaper.com/en/paper/2208.00471v1/

## Key points

- Study focuses on the relationship between Epstein-Barr virus (EBV) and infectious mononucleosis (IM) as well as various cancers
- Identifying genes associated with EBV-related lymphoproliferative diseases like Burkitt's Lymphoma and Hodgkin's Lymphoma, and non-lymphoproliferative diseases such as Gastric cancer and Nasopharyngeal cancer
- Construction of a disease-gene network bipartite graph using data from DisGeNET (v7.0)
- Utilization of the Louvain method for community detection to identify modular communities within the network
- Key genes identified through functional enrichment analysis include CASP10, BRAF, NFKBIA, IFNA2, GSTP1, CSF3, GATA3, UBR5, AXIN2, and POLE based on their distribution degrees
- Over-representation of the ABL1 gene in critical biological processes related to cellular growth arrest/apoptosis
- EBV selectively targets essential pathways to disrupt vital biological processes including those within the TP53 gene network
- Research provides insights into potential therapeutic targets for EBV-associated carcinomas and sheds light on underlying mechanisms of oncogenesis driven by EBV

## Summary

In their study titled "Network strategies to study Epstein-Barr virus associated carcinomas and potential etiological mechanisms for oncogenesis," authors S. Chatterjee and B. S. Sanjeev delve into the intricate relationship between diseased conditions and the role of the Epstein-Barr virus (EBV) in causing infectious mononucleosis (IM) and various cancers. The research focuses on identifying genes involved in EBV-associated lymphoproliferative diseases such as Burkitt's Lymphoma and Hodgkin's Lymphoma, as well as non-lymphoproliferative diseases like Gastric cancer and Nasopharyngeal cancer. Using data from DisGeNET (v7.0), the authors constructed a disease-gene network bipartite graph to pinpoint genes associated with gastric cancer (GC), nasopharyngeal cancer (NPC), Hodgkin's lymphoma (HL), and Burkitt's lymphoma (BL). By employing the Louvain method for community detection, they identified modular communities within the network. Subsequent functional enrichment analysis revealed key genes such as CASP10, BRAF, NFKBIA, IFNA2, GSTP1, CSF3, GATA3, UBR5, AXIN2, and POLE based on their distribution degrees. Furthermore, the study highlighted the over-representation of the ABL1 gene in critical biological processes related to cellular growth arrest/apoptosis. This finding suggests that EBV selectively targets essential pathways to disrupt vital biological processes, including those within the TP53 gene network. By shedding light on these interactions, this research contributes valuable insights into potential therapeutic targets for EBV-associated carcinomas and sheds light on the underlying mechanisms of oncogenesis driven by this common causative pathogen.