Method for Predicting or Diagnosing Recurrent Ovarian Cancer

摘要

The present invention relates to a method for predicting or diagnosing recurrent ovarian cancer. More particularly, the present invention relates to a method for diagnosing ovarian cancer, comprising: (a) measuring the expression of miRNAs of a biological sample isolated from an ovarian cancer patient; And (b) analyzing the expression level of the miRNAs to predict or diagnose recurrent ovarian cancer. Wherein said prediction or diagnosis determines recurrent ovarian cancer in comparison with the expression pattern of miRNAs in primary ovarian cancer tissue; MiR-425, miR-4270, miR-548q, miR-135a-3p, miR-1207-5p, miR-4281, miR-3692-5p, miR- at least one microRNA selected from the group consisting of miR-638, miR-1225-5p, miR-196b-5p, miR-1915-3p, miR-483-5p, and miR-3656 is up- If it is; MiR-509-3p, miR-509-3p, miR-509-3-5p, miR-95, miR-30a-3p, miR- 5p, miR-30b-5p, miR-30e-3p, miR-1271-5p, miR-3607-3p, miR-30c-5p, miR-182-5p, miR- Recurrent ovarian cancer is determined when one or more microRNAs selected from the group of constructs are down-regulated.