Gliosarcoma protein-protein interaction network analysis and gene ontology

Abstract

Background: Gliosarcoma (GS) is a rare primary neoplasm of the central nervous system. It is a subtype of glioblastoma and has a biphasic pattern consisting of glial and malignant mesenchymal elements. Its onset is between the fourth and sixth decade of life. Objectives: Since protein-protein interaction (PPI) network analysis can provide useful information about molecular aspects of diseases, the aim of this study is GS protein analysis via PPI network and gene ontology assessment. Methods: The related genes to GS were gathered from STRING DB and organized in the interacted network by Cytoscape software version 3.6.0. The network was analyzed based on topological parameters and the central nodes were introduced. The significant clusters were identified by ClusterONE and the cluster included more key genes enriched via gene ontology by ClueGO. Results: Nine crucial genes including TP53, EGFR, PTEN, EGR1, VEGFA, HSP90AA1, IL2, KNG1, and HSP90AB1 were introduced as related key genes to GS. Two significant clusters contain most of central genes. Twenty-one elements of cluster-1, which included 7 key genes, were enriched via gen ontology and 115 related terms were determined and discussed. Conclusions: The nine introduced central genes may play main roles in pathology of GS. However, experimental investigation is proposed to validate the findings.