Gene expression profiling by mRNA array reveals different pattern in Chinese glioblastoma patients between Uygur and Han populations.

Objective: To identify differentially expressed genes in Chinese glioblastoma patients of Uygur and Han populations, and investigate their potential clinical value for pathogenesis determination and progress prediction.

Methods: Gene expression profiling was obtained from three patients of each Uygur and Han nationalities, respectively, by mRNA expression array. Data were processed by the GenomeStudio software and language R of the Lumi package, followed by GO (Gene Ontology) term and KEGG pathway annotation analysis by the Web Gestalt software.

Results: The comparative analysis of genome-scale gene expression in glioblastomas revealed 1,475 differentially expressed genes, with 669 and 807 genes up-regulated and down-regulated, respectively. These included the STRC gene, which has two transcripts, one up-regulated and one down-regulated. GO term analysis suggested that 1,175 out of 1,475 key genes were involved in small GTPase mediated signal transduction, Ras protein signal transduction, bioprocess of neuronal response regulation, and central nervous system myelination. The KEGG pathway enrichment analysis showed that the differentially expressed genes were covered by 28 signaling pathways associated with tumorigenesis, including metabolic pathways, tumor suppressor pathways, MAP kinase signaling pathways, TGF-β signaling pathway, neurotrophin signaling pathways, and mTOR signaling pathway.

Conclusion: The comparative study of gene expression profiling in glioblastomas between Uygur and Han nationalities revealed differentially expressed genes, whose functions and expression localization were analyzed by GO term analysis and KEGG pathway enrichment analysis. Different pathogenesis mechanisms were proposed for glioblastomas in Chinese patients of Uygur and Han nationalities from a molecular biology perspective.