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. 2012 Aug 24;12:369. doi: 10.1186/1471-2407-12-369

Table 2.

Receiver operating characteristics curve (ROC) analysis using tissue and plasma miRNAs expression for discriminating endometrioid endometrial cancer (EEC) samples

miRNA/miRNA signature AUC [95% CI] p Sensitivity Specificity C +PV -PV
Tissues (EEC n = 73, NE  n= 31)
miR-99a
0.675 [0.572-0.767]
0.006
0.88
0.5
6.6
81.3
63.6
miR-100
0.652 [0.548-0.746]
0.03
0.86
0.5
6.5
80.8
58.3
miR-199b
0.706 [0.606-0.794]
0.001
0.81
0.71
5.3
87.5
60.6
miR-99a/miR-100/miR-199b
0.774 [0.678-0.853]
<0.0001
0.61
0.89
0.76
93.3
48.1
Plasma (EEC n = 34, NE n = 14)
miR-99a
0.810 [0.669-0.909]
<0.0001
0.76
0.79
1.23
89.3
57.9
miR-100
0.740 [0.592-0.857]
0.001
0.64
0.79
1.5
33.3
92.8
miR-199b
0.786 [0.642-0.892]
0.0002
0.79
0.71
2.48
86.7
58.8
miR-99a/miR-199b 0.903 [0.780-0.970] <0.0001 0.88 0.93 0.73 96.7 76.5

AUC - area under curve; 95% CI – 95% confidence interval; C - factor; +PV - positive predictive value; -PV - negative predictive value.