The PPI network and clusters analysis in glioblastoma

W.-Q. He, J.-W. Gu, C.-Y. Li, Y.-Q. Kuang, B. Kong, L. Cheng, J.-H. Zhang, J.-M. Cheng, Y. Ma

Department of Neurosurgery, Chengdu Military General Hospital, Chengdu, People’s Republic of China. jianwengu1122@hotmail.com

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• Oncology

OBJECTIVE: Glioblastoma is the most aggressive tumor of the brain. To further understand its molecular mechanism, we carried out a systemic bioinformatics study of gene chips downloaded from Gene Expression Omnibus database.

MATERIALS AND METHODS: LIMMA package in R language was used to identify the differentially expressed genes (DEGs) between glioblastoma samples and normal controls.

RESULTS: Further, we constructed protein-protein interaction networks by mapping the DEGs into PPI data and identified network clusters in these networks. The results revealed that expression of 516 genes, which are mainly involved in phosphate metabolic process and signal transduction, were altered in glioblastoma samples. LYN, CD22 and LCP2 form a densely protein complex in the PPI network.

CONCLUSIONS: Our results suggest that LYN, CD22 and LCP2 play important roles in the occurrence and progression of glioblastoma.

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