Indexed on: 04 Mar '17Published on: 04 Mar '17Published in: Neoplasma
The study was aimed to explore the underlying molecular mechanisms of CDK2 inhibition in neuroblastoma by bioinformatics analysis. Gene expression profile GSE16480 was downloaded from the Gene Expression Omnibus. The differentially expressed genes (DEGs) were identified from IMR32 between each time point and average expression of all time points. Gene significance was calculated using dSVDsig algorithm of dnet package. Protein-protein interaction (PPI) network was built. Then, integrated with gene significance, a core PPI network was detected by dNetPipeline algorithm in dnet package. Finally, pathway enrichment analysis was performed for genes in network. Total 1524 DEGs were identified. CCNA2 (cyclin A2), EXO1 (exonuclease 1), RAD51AP1 (RAD51 associated protein 1), TOP2A (topoisomerase (DNA) II alpha) and CDK1 (cyclin-dependent kinase 1) were selected as DEGs with higher connectivity after PPI network analysis. In the network, CCNA2, CDK1, BUB1B (BUB1 mitotic checkpoint serine/threonine kinase B) and CCNB1 (cyclin B1) were involved in cell cycle pathway. Additionally, CCNB1, CDK1, CCNE2 (Cyclin E2), and RRM2B (ribonucleotide reductase subunit M2B) were involved in p53 signaling pathway. Cell cycle and p53 signaling pathway were closely associated with neuroblastoma after CDK2 inhibition. The DEGs, such as CCNA2, CCNB1, CDK1 and RRM2B may be the potential targets for neuroblastoma.