Oral cancer identification candidate genes by integrated Protein-Protein interaction and Systems biology approach

Oral cancer is a common type of Head and Neck cancer that affects large population of the world. Presently its stands 16^th position in the world and 1^st position in India in all types of cancer and day by day disease taking dangerous form, hence its early identification and prevention is very important. In recent years bioinformatics play the significant role in identification of the candidate genes identification. The protein-protein interaction (PPI) studies and gene ontology study are helpful for extracting the candidate oral cancer genes. The objective of current study is identification of oral cancer targets through network based protein- protein interaction approach and systems biology based analysis. The total 232 oral cancer genes were retrieved from the Oral Cancer Gene Database (OrCGDB). Networks constructed for oral cancer genes were performed by the help of STRING database. These protein-protein networks are studied by the Cytoscape v3.7.2 systems biology tool. Topology study has been performed with the help of Molecular Complex Detection Tool (MCODE) and the Biological Network Gene Ontology Tool (BiNGO) Plugin of Cytoscape v3.7.2 software. Comparative study yields the 8 significant number of gene clusters.