Relationship Between Serum PKM2,NRF2 and the Clinicopathological Features and Prognosis of Cervical Cancer Patients
Objective To investigate the relationship between serum pyruvate kinase M2(PKM2)and nuclear factor E2-related factor 2(NRF2)and clinicopathological features and prognosis of cervical cancer patients.Methods A total of 92 patients with cervical cancer admitted to AnYang Tumor Hospital from January 2016 to January 2018 were selected as the cervical cancer group,and 55 healthy women were selected as the control group during the same period.Serum PKM2 and NRF2 levels were detected by enzyme-linked immunosorbent assay to analyze the relationship between serum PKM2 and NRF2 levels and clinicopathological characteristics of patients with cervical cancer.Survival curve was plotted by Kaplan-Meier(K-M)method to investigate the relationship between serum PKM2 and NRF2 levels and prognosis of patients with cervical cancer.Receiver operating characteristic(ROC)curve was drawn to analyze the value of serum PKM2 and NRF2 levels in predicting poor prognosis of patients with cervical cancer.Results The serum levels of PKM2 and NRF2 in the cervical cancer group were higher than those in the control group(P＜0.001).Serum PKM2 and NRF2 levels were correlated with differentiation degree,FIGO stage and lymph node metastasis in patients with cervical cancer(P＜0.05).During a 5-year follow-up,the overall survival rate of 92 cervical cancer patients was 61.96％(57/92).K-M survival curve analysis showed that the overall survival rate of the PKM2 and NRF2 high-level groups was lower than that of the PKM2 and NRF2 low-level groups(P＜0.05).ROC curve analysis showed that the area under the curve of serum PKM2 and NRF2 combined to predict poor prognosis of cervical cancer patients was 0.878,which was larger than 0.791 and 0.780 predicted by serum PKM2 and NRF2 alone.Conclusion The levels of serum PKM2 and NRF2 are abnormally high in patients with cervical cancer,which are related to malignant clinicopathological features,and may be auxiliary predictors of poor prognosis in patients with cervical cancer.
万方数据
维普
