General Features and Novel Gene Signatures That Identify Epstein-Barr Virus-Associated Epithelial Cancers.
Chukkris HeawchaiyaphumChamsai PeintongHironori YoshiyamaHisashi IizasaWatcharapong PanthongTipaya EkalaksanananPublished in: Cancers (2021)
Epstein-Barr virus (EBV) is associated with various types of human malignancies, including nasopharyngeal carcinoma (NPC), EBV-associated gastric carcinoma (EBVaGC), and oral squamous cell carcinoma (OSCC). The present study aimed to identify gene signatures and common signaling pathways that can be used to predict the prognosis of EBV-associated epithelial cancers (EBVaCAs) by performing an integrated bioinformatics analysis of cell lines and tumor tissues. We identified 12 differentially expressed genes (DEGs) in the EBVaCA cell lines. Among them, only four DEGs, including BAMBI, SLC26A9, SGPP2, and TMC8, were significantly upregulated. However, SLC26A9 and TMC8, but not BAMBI and SGPP2, were significantly upregulated in EBV-positive tumor tissues compared to EBV-negative tumor tissues. Next, we identified IL6/JAK/STAT3 and TNF-α/NF-κB signaling pathways as common hallmarks of EBVaCAs. The expression of key genes related to the two hallmarks was upregulated in both EBV-infected cell lines and EBV-positive tumor tissues. These results suggest that SLC26A9 and TMC8 might be gene signatures that can effectively predict the prognosis of EBVaCAs and provide new insights into the molecular mechanisms of EBV-driven epithelial cancers.
Keyphrases
- epstein barr virus
- genome wide
- diffuse large b cell lymphoma
- signaling pathway
- gene expression
- genome wide identification
- copy number
- dna methylation
- endothelial cells
- genome wide analysis
- epithelial mesenchymal transition
- oxidative stress
- transcription factor
- immune response
- endoplasmic reticulum stress
- nuclear factor
- bioinformatics analysis