TABLE 2.
Receiver operating characteristic (ROC) curve analysis for biomarkers and biomarker combinations.
| Marker | AUCa | 95% CIb | Sensitivity |
|
|---|---|---|---|---|
| 80% Set Specificity |
90% Set Specificity |
|||
| Normal (n = 100) vs. Cancer (n = 100) | ||||
| CA125 | 0.94 | (0.90 – 0.98) | 90% | 90% |
| FOLR1 | 0.87 | (0.67 – 0.82) | 81% | 71% |
| NID2 | 0.72 | (0.67 – 0.82) | 60% | 52% |
| CA125 + FOLR1 | 0.94 | (0.90 – 0.98) | 90% | 90% |
| CA125 + FOLR1 + NID2 | 0.92 | (0.88 – 0.97) | 88% | 88% |
| Benign (n = 99) vs. Cancer (n = 100) | ||||
| CA125 | 0.93 | (0.88 – 0.97) | 90% | 89% |
| FOLR1 | 0.85 | (0.79 – 0.90) | 77% | 62% |
| NID2 | 0.79 | (0.71 – 0.85) | 65% | 54% |
| CA125 + FOLR1 | 0.93 | (0.89 – 0.97) | 91% | 89% |
| CA125 + FOLR1 + NID2 | 0.92 | (0.87 – 0.97) | 89% | 88% |
a
Area under the curve.
b
Confidence interval.