Objective: To analyze the expression of microRNA-106a(miR-106a) in renal cell carcinoma (RCC) and its correlation with clinicopathological characteristics and prognosis of patients.
Methods: Serum samples of 64 patients with newly diagnosed RCC were collected as the study group, and serum samples of 40 healthy individuals were used as the control group. Real-time fluorescence quantitative PCR was used to determine the expression level of miR-106a in each group. The correlation between miR-106a expression and clinicopathological characteristics of the patients was studied with single factor analysis and multiple Logistic regression model. Kaplan-Meier survival curve was used to analyze its correlation with the prognosis of patients.
Results: Before surgery, compared with the control group (1.17± 0.58), RCC patients with high- (9.15± 0.96) and low-expression(3.45± 0.37) had increased expression of miR-106a. Postoperatively, the expression level of miR-106a in both groups of patients decreased to 1.53± 0.18 and 1.75± 0.21, respectively. The area under the curve (AUC) of the diagnostic value of serum miR-106a for RCC was 0.782 (95% CI: 0.661-0.902). With an optimal cutoff value of 0.531, the sensitivity was 78.10% and the specificity was 75.00%. Serum miR-106a level of RCC patients with TNM stage T3 or T4, clinical stage II or III, lymph node metastasis, and recurrence were significantly increased. The high expression of serum miR-106a in RCC patients has an independent relationship with the tumor TNM stage and lymph node metastasis. Of the 64 follow-up patients, 4 were lost and 30 had died. Among them, the median survival time of patients in the miR-106a high expression group was 30 months, which was significantly shorter than that of the low expression group (52 months).
Conclusion: The serum level of miR-106a is elevated in RCC patients, and may be used as a molecular marker for the diagnosis of RCC. High serum expression of miR-106a is an independent predictor for tumor TNM stage and lymph node metastasis, as well as an independent predictor for poor prognosis of RCC patients.