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. 2013 Jun 21;32(3):557–567. doi: 10.3892/ijmm.2013.1424

Figure 6.

Figure 6

Comparison of the ability of serum microRNAs and squamous cell carcinoma antigen (SCC-Ag) to predict cervical cancer lymph node metastasis (LNM). (A) Comparison of the area under the ROC curve (AUC) of the fitted binormal receiver operating characteristic (ROC) curves between serum microRNA and SCC-Ag. The comprehensive set of microRNAs integrated with 6 microRNAs from serum had an AUC value of 0.932 and a maximum Youden index of 0.706 (sensitivity, 0.856; specificity, 0.850). AUC of serum SCC-Ag was 0.713, and the maximum Youden index was 0.312 (sensitivity, 0.612; specificity, 0.700). There was a statistically significant difference between the AUC values of the 2 ROC curves, P<0.0001. (B) Comparison of the AUC of the fitted binormal ROC curves between serum microRNA with SCC-Ag and serum microRNA only. Using regression analysis and integration, we added serum SCC-Ag into the LNM predictive set. While the AUC increased to 0.940, there was no statistically significant difference in comparison to the AUC of the serum microRNAs only, P=0.321.