Table 2. Best Combination Models of MicroRNAs to Detect Diffuse Glioma in Training Set 1.
No. of miRNAs | Model Candidates | Training Set 1 | ||||
---|---|---|---|---|---|---|
Sensitivity (95% CI) | Specificity (95% CI) | Accuracy (95% CI) | AUC (95% CI) | P Value | ||
1 | (1.42387 × miR-1225-3p) − 10.2225 | 0.93 (0.88-0.98) | 0.83 (0.77-0.88) | 0.86 (0.82-0.90) | 0.95 (0.93-0.97) | NA |
2 | (1.21875 × miR-1225-3p) + (1.62781 × miR-1227-5p) − 25.2598 | 0.90 (0.84-0.96) | 0.97 (0.95-0.99) | 0.95 (0.92-0.97) | 0.97 (0.96-0.99) | .006 (vs 1-miRNA model) |
3 | (2.09406 × miR-4763-3p) + (1.35369 × miR-1915-3p) + (–0.378659 × miR-3679-5p) − 32.11268 | 0.96 (0.92-1.00) | 0.97 (0.95-0.97) | 0.97 (0.95-0.99) | 0.99 (0.99-1.00) | .01 (vs 2-miRNA model) |
4 | (1.78027 × miR-4763-3p) + (1.24861 × miR-1915-3p) + (–0.352535 × miR-3679-5p) + (0.295729 × miR-6729-3p) −30.12238 | 0.96 (0.92-1.00) | 0.98 (0.96-1.00) | 0.97 (0.95-0.99) | 1.00 (0.99-1.00) | .15 (vs 3-miRNA model) |
5 | (2.03114 × miR-4763-3p) + (1.32272 × miR-1915-3p) + (–0.427725 × miR-3679-5p) + (0.494549 × miR-4741) + (–0.126557 × miR-204-3p) −34.1707 | 0.96 (0.92-1.00) | 1.00 (1.00-1.00) | 0.99 (0.97-1.00) | 0.99 (0.99-1.00) | .83 (vs 4-miRNA model) |
Abbreviations: AUC, area under the receiver operating characteristic curve; miRNAs, microRNAs; NA, not applicable.