Correlation and clinical significance of serum miR-200c expression level with recurrent ovarian cancer
Objective To analyze the relationship between serum miR-200c and recurrence after treatment in epithelial ovarian cancer(EOC)patients.Methods A total of 160 EOC patients admitted to the Third Affiliated Hospital of Kunming Medical University from June 2019 to June 2020 were selected as the study subjects.Among them 104 cases of recurrence were found during a 2-year follow-up.The serum miR-200c was measured by quantitative real time polymerase chain reaction(qRT-PCR),and its baseline data were investigated.Univariate analysis of the correlation between recurrence after EOC treatment and serum miR-200c and baseline data in patients;multivariate Logistic regression analysis of independent risk factors affecting patient recurrence;receiver operating characteristic(ROC)curve analysis predicts the efficacy of recurrence in EOC patients after treatment.Results Univariate analysis showed that the levels of estrogen receptor,progesterone receptor,lymph node metastasis,serum carbohydrate antigen 125(CA125)and human epididymis protein 4(HE4)were positively correlated with the recurrence of EOC patients after treatment,but the serum miR-200c was negatively correlated with the recurrence of EOC patients after treatment(P<0.05).The multivariate Logistic regression analysis showed that high serum CA125 expression(OR>1,P<0.05)and low miR-200c expression(OR<1,P<0.05)were independent risk factors for postoperative recurrence in EOC patients.The ROC curve results showed that the serum CA125 and miR-200c levels alone and combination predicted recurrence in EOC patients after treatment was 0.915,0.954,and 0.993.The predictive efficacy of serum miR-200c was superior to CA1 25,and the combined predictive efficacy was superior to single indicators.Conclusions MiR-200c indicates the aggressiveness of EOC cells.The decrease in serum miR-200c will increase the risk of recurrence in EOC patients after treatment,and can serve as a potential predictive indicator and treatment target for cancer recurrence.
Epithelial ovarian cancerMiR-200cRecurrent ovarian cancer