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Analysis of the expression and prognostic value of ENO1 in ovarian cancer based on Oncomine database
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作者 Tao-Hong Zhang Li-Li Xiong +3 位作者 Xiao-Wei Wang Wei-Hong Wang Ying Liu Rui-Fang An 《Journal of Hainan Medical University》 2019年第18期45-48,共4页
Objective:Ovarian cancer is one of the leading causes of death in women,because of late diagnosis,recurrence and resistance to chemotherapy.Therefore,it's necessary to design a novel sensitive and specific maker t... Objective:Ovarian cancer is one of the leading causes of death in women,because of late diagnosis,recurrence and resistance to chemotherapy.Therefore,it's necessary to design a novel sensitive and specific maker to diagnose and treat patients of ovarian cancer.However,this study intends to explore the expression and prognostic value of ENO1 in ovarian cancer.Method:ENO1 data were collected from Oncomine database,and then were performed subgroup analysis and systematic analysis.Meanwhile,the prognostic significance of ENO1 was analyzed by an online survival analysis tool"Kaplan-Meier Plotter"(KM plotter)database.Results:In Oncomine database,a total of 14 studies were involved ENO1 in ovarian cancer tissues and normal tissues,including a total of 1001 samples.Comparing with normal tissues,ENO1 expression is higher(P<0.05).Moreover,the overall survival of ENO1 high expression in ovarian cancer is closely related with high survival(P<0.05).Further study indicated that ENO1 expression showed negative relation to the prognosis of serous ovarian cancer patients while ENO1 expression showed no effects on the prognosis of endometrioid ovarian cancer patients.Conclusion:Through exploration of tumor gene information in Oncomine database,ENO1 was found highly expressed in ovarian cancer and related to the prognosis of ovarian cancer,which might be a new marker for ovarian cancer prognosis and alternative drug therapy. 展开更多
关键词 OVARIAN CANCER Oncomine databaseαdenolase(eno1) Overall SURVIVAL Kaplan-Meier Plotter database
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