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    • 9. 发明申请
    • BIOMARKER FOR DIAGNOSING GLIOBLASTOMA OR PREDICTING PROGNOSIS OF GLIOBLASTOMA PATIENTS, AND USE THEREOF
    • 生物标志物用于诊断滑膜瘤或预测滑膜瘤患者的预后及其应用
    • WO2012050365A2
    • 2012-04-19
    • PCT/KR2011007592
    • 2011-10-12
    • SAMSUNG LIFE PUBLIC WELFARE FOUNDATIONNAM DO HYUNKIM JONG HYUNPARK KWANSHIN HYUNG JINHONG SEUNG CHYULLEE JUNG-ILKONG DOO-SIKSEOL HO JUNSUH YEON-LIM
    • NAM DO HYUNKIM JONG HYUNPARK KWANSHIN HYUNG JINHONG SEUNG CHYULLEE JUNG-ILKONG DOO-SIKSEOL HO JUNSUH YEON-LIM
    • C12Q1/68G01N33/68
    • G01N33/57407
    • The present invention relates to a biomarker for diagnosing glioblastoma or predicting the prognosis of glioblastoma patients, and a use thereof, and more specifically, to an analysis method of a protein comprising the step of measuring the expression amount of the protein to provide the information necessary for diagnosing glioblastoma or predicting the prognosis of glioblastoma patients by utilizing a protein selected from the group consisting of survivin, cyclinE, DCC, TGF-ß, CDC25B, Histone H1, p-EGFR, p-VEGFR2/3 and p16 as a biomarker for diagnosing glioblastoma or predicting the prognosis of glioblastoma patients. Since the proteins discovered through the analysis of the present invention can be applied to predict the prognosis of glioblastoma patients, a kit can be provided for predicting the prognosis of glioblastoma patients using the same and to apply the discovered proteins to develop a novel target therapy with respect to the proteins and an anticancer drug. As a result, the biomarker would also have a great ripple effect on the related industry fields, and is thus useful.
    • 本发明涉及用于诊断胶质母细胞瘤或预测胶质母细胞瘤患者的预后的生物标志物及其用途,并且更具体地涉及蛋白质的分析方法,所述方法包括测量蛋白质表达量以提供必要信息的步骤 通过利用选自由生存素,细胞周期蛋白E,DCC,TGF-β,CDC25B,组蛋白H1,p-EGFR,p-VEGFR2 / 3和p16组成的组的蛋白质作为生物标志物来诊断胶质母细胞瘤或预测胶质母细胞瘤患者的预后 诊断胶质母细胞瘤或预测胶质母细胞瘤患者的预后。 由于通过本发明的分析发现的蛋白质可以用于预测成胶质细胞瘤患者的预后,因此可以提供试剂盒用于预测使用胶质母细胞瘤患者的成胶质细胞瘤患者的预后,并将所发现的蛋白质应用于开发新的靶向治疗 尊重蛋白质和抗癌药物。 因此,生物标志物也将在相关的工业领域产生巨大的连锁反应,因此是有用的。