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Lingnan Modern Clinics in Surgery ›› 2017, Vol. 17 ›› Issue (04): 381-386.DOI: 10.3969/j.issn.1009-976X.2017.04.001

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Expression of G0S2 gene in glioma and its biological significance

XIE Lin, LI Kaishu, LIU Anmin   

  1. 1 Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China. 2 Department of Neurosurgery, the Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan 511500, China
  • Contact: LIU Anmin

G0S2基因在胶质瘤中的表达及生物学意义

谢琳 李凯舒 刘安民   

  1. 中山大学孙逸仙纪念医院
  • 通讯作者: 刘安民

Abstract:

Objective To analyze the correlation between G0S2G0S2G0/G1 switch 2gene and glioma prognosis and malignancy. Methods The GSE33331 chip was analyzed by bioinformatics technique and the differential expression gene G0S2 was obtained. GO Gene Ontology analysis and survival analysis of G0S2 gene were performed using DAVID and TCGA databaseThe Cancer Genome Atlas. The correlation between G0S2 and glioma level was studied by real-time fluorescence quantitative PCR. Results Bioinformatics analysis showed that G0S2 was the third most significant gene in the chip logFC=-2.53672, P<0.001. The gene was involved in the metabolism of lipids and molecules, and the survival time of glioma patients with high expression of this gene was significantly decreasedChisq=150, P<0.001. In addition, 40 cases of glioma with qPCR results confirmed that G0S2 was differentially expressed in high and low grade gliomas t=3.168, P=0.003. Conclusion The expression level of G0S2 gene is related to the degree of malignancy and prognosis of glioma.

Key words: G0S2, malignant degree, prognosis, glioma

摘要:

目的 分析G0S2G0S2G0/G1switch2)基因与胶质瘤预后及恶性程度的相关性。方法 应用生物信息学技术对GSE33331芯片进行分析得出差异性表达的基因G0S2,并使用DAVIDTCGA数据库(TheCancerGenomeAtlas)对该基因进行GOGeneOntology)分析及生存分析,使用实时荧光定量PCR方法研究G0S2与胶质瘤级别的相关性。结果 生物信息学分析结果提示G0S2是芯片中表达差异第3显著的基因(logFC=-2.53672P<0.001),该基因参与肿瘤的脂质、分子等代谢过程,高表达该基因的胶质瘤患者生存时间显著下降(Chisq=150P<0.001)。此外通过40例胶质瘤的qPCR结果证实G0S2在高级别与低级别胶质瘤中差异表达(t=3.168P=0.003)。结论 G0S2基因表达水平与胶质瘤恶性程度及预后相关。

关键词: 胶质瘤, 恶性程度, 预后 , G0S2基因

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