Table 1.

Potential predictive value of six candidate miRNAs from retrospective cohort in ROC curve analysis

Cutoff value log10 (2−ΔCt)AUC (95% CI)Sensitivity (95% CI)Specificity (95% CI)
miR-10a≤−0.17890.655 (0.589–0.717)43.0 (33.1–53.3)83.5 (75.8–89.5)
miR-141≤−0.64510.643 (0.577–0.705)69.0 (50.0–77.9)60.6 (51.6–69.2)
miR-146a≤−0.76820.631 (0.565–0.694)62.0 (51.7–71.5)60.6 (51.6–69.2)
miR-151–3p≤−0.61600.648 (0.582–0.710)79.0 (69.7–86.5)45.7 (36.8–54.7)
miR-194≤0.13110.755 (0.694–0.810)71.0 (61.1–79.6)78.0 (69.7–84.8)
miR-3607-3p≤−0.05340.696 (0.632–0.755)68.0 (57.9–77.0)71.7 (63.0–79.3)