Human papillomavirus (HPV) is the causative agent of cervical cancer. The purpose of present study was to provide a comprehensive
protein-protein interaction (PPI) approach to identify the representative sub-networks for this cancer. Comprehensive gene
expression profiling of cervical samples from different stages were collected from Gene Expression Omnibus (GEO-dataset:
GSE67522). Among the three clinical stages, we generated two PPIs including, pre-cancerous network (normal-non-malignant) and
cancerous network (non-malignant-CC or normal-CC). Subsequently, further bioinformatics analyses were performed. GO analysis
revealed that the majority of differentially expressed genes in reconstructing cancerous networks was obviously involved in cell cycle
processes. Serine/threonine kinases Polo-like kinase 1 (PLK1), cyclin-dependent kinase 1 (CDK1), and CDK2 were the most important
hub genes in the protein-protein interaction network. These proteins play critical roles in the dysregulation of the cell cycle in
cervical cancer development. Also, other cell cycle associated genes including AURKA, BRCA1, and CDC20 were all found highly
critical genes in HPV16-infected cervical cancer. CDK1, CDK2 and PLK1 play essential roles in mediating integrative genetic networks
involved in the development of cervical cancer. These hub genes might help improve pathogenesis of cervical cancer and may be
used for the diagnosis and treatment of this cancer.
Keywords: Human papilloma virus, protein-protein interaction, cervical cancer, gene ontology, serine/threonine kinases Polo-like
kinase 1, cyclin-dependent kinase 1