Molecular Analysis of Radiation Resistance Process in Radioresistant Oesophageal Adenocarcinoma Cells

 The radiation resistance process is a major problem in radiotherapy. Proteomics is a useful method to determine the molecular mechanism of biological and medical events. Protein-protein interaction (PPI) network is a suitable method for proteomics data interpretation.

 Assessment of proteomics data about the radiation resistance process in human cell lines via PPI network analysis is the aim of this study.

 Proteomic data were extracted from literature and the differentially expressed proteins (DEPs) were included in the PPI network via the STRING database by Cytoscape software. The network was analyzed and the central nodes were introduced. The central nodes were assessed via action map analysis and gene ontology enrichment.

 Among the 251 queried DEPs, 171 individuals were included in the PPI network. Epidermal growth factor receptor (EGFR), fibronectin (FN1), CD44 antigen (CD44), prostaglandin G/H synthase 2 (PTGS2), CD44 antigen (CD44), prostaglandin G/H synthase 2 (PTGS2), NF-kappa-B inhibitor alpha (NFKBIA), Kelch-like ECH-associated protein 1 (KEAP1), cathepsin D (CTSD), D-3-phosphoglycerate dehydrogenase (PHGD), and 5-nucleotidase (NT5E) were introduced as the critical DEPs. Eight groups of biological terms were attributed to the introduced critical DEPs. EGFR, FN1, CD44, and PTGS2 were discriminated among the critical DEPs as the key dysregulated proteins.

 The results indicate that EGFR, FN1, CD44, and PTGS2 are the four essential proteins that are involved in radiation resistance in the radioresistant cells.