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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 |
