BACKGROUND: The aim of this study was to investigate differences in glioblastoma RNA gene expression profiles between Uyghur and Han patients in Xinjiang province and to screen and compare differentially expressed genes with respect to their clinical significance in the pathogenesis of high-grade glioma and their relationship to disease prognosis.

MATERIAL AND METHODS: Illumina HT-12mRNA expression profiles microarray was employed to measure the gene expression profiles of 6 patients with advanced glioma and to screen for differentially expressed genes.

RESULTS: GO and KEGG analyses were performed on the differentially expressed genes using Web Gestalt software (P<0.05). Comparison of glioblastoma RNA expression profiles in the Uyghur and Han patients indicated that 1475 genes were significantly differentially expressed, of which 669 showed increased expression, while 807 showed decreased expression. One gene (STRC) corresponded to 2 transcripts, 1 of which showed increased expression and the other showed decreased expression. The differentially expressed genes participate in metabolic processes, biological regulation, stress response, and multi-cellular organic processes, including small GTPase regulatory signaling pathways, Ras signaling pathway, neuronal reactive protein regulation, and myelination of the central nervous system. The genes are also involved in tumor-related signaling pathways, including metabolic pathways, cancer pathways, MAPK signaling pathway, TGF-β signaling pathway, neurotrophic factor signal transduction pathway, and mTOR signaling pathway.

CONCLUSIONS: Differentially expressed genes were screened by studying the gene expression profiles in glioblastoma from Uyghur and Han patients. The cellular function and location of these genes were further investigated. Based on related molecular markers of glioblastoma, the differences in the mechanism of initiation and development of glioblastoma between Uyghur and Han patients were investigated for polygenic interactions.

Keywords: Brain Neoplasms - genetics, Cluster Analysis, Computational Biology, Electrophoresis, Agar Gel, Ethnic Groups - genetics, Follow-Up Studies, Gene Expression Profiling, Glioblastoma - genetics, Oligonucleotide Array Sequence Analysis, RNA, Messenger - metabolism