Table 3.
The best and worst AUC values among the 18 genes evaluated in this study. KIF1A showed a minimal variation among all 27 CpGs interrogated, whereas TERT displayed the widest gap between different AUC, highlighting the importance of CpG location
| Gene | Best AUC position | Best AUC value | Worst AUC position | Worst AUC value | Best to worst AUC gap |
|---|---|---|---|---|---|
| KIF1A | Chr2: 241759621 | 0.94 | Chr2: 241759702 | 0.87 | 0.0694444 |
| MIR137 | Chr1: 98046097 | 0.78 | Chr1: 98046237 | 0.69 | 0.0916666 |
| GP1BB | Chr22: 19710956 | 0.97 | Chr22: 19710954 | 0.88 | 0.0921717 |
| H19 | Chr11: 2018169 | 0.66 | Chr11: 2018228 | 0.56 | 0.0992425 |
| LRRTM1 | Chr2: 80531799 | 0.9 | Chr2: 80531776 | 0.8 | 0.1012626 |
| NTM | Chr11: 131781167 | 0.86 | Chr11: 131781080 | 0.75 | 0.1063131 |
| ZAP70 | Chr2: 98340854 | 0.96 | Chr2: 98340816 | 0.85 | 0.1073232 |
| MIR193A | Chr17: 29886944 | 0.84 | Chr17: 29886881 | 0.72 | 0.1252525 |
| EPHX3 | Chr19: 15342885 | 0.83 | Chr19: 15342831 | 0.71 | 0.1260101 |
| LINC00599 | Chr8: 9760888 | 0.83 | Chr8: 9760805 | 0.69 | 0.1436869 |
| FLI1 | Chr11: 128564158 | 0.84 | Chr11: 128564065 | 0.67 | 0.1643940 |
| PAX1 | Chr20: 21686312 | 0.9 | Chr20: 21686253 | 0.74 | 0.1648990 |
| ITGA4 | Chr2: 1823229.02 | 0.84 | Chr2: 182323028 | 0.66 | 0.1813131 |
| PARP15 | Chr3: 122296586 | 0.84 | Chr3: 122296671 | 0.65 | 0.1919191 |
| TERT | Chr5: 1279758 | 0.92 | Chr5: 1279838 | 0.67 | 0.2563132 |
| MIR296 | Chr20: 57392374 | 0.75 | Chr20: 57392419 | 0.44 | 0.3151516 |
| DNMT1 | Chr19: 10305597 | 0.67 | Chr19: 10305652 | 0.34 | 0.3338384 |
| TERC | Chr3: 169482446 | 0.69 | Chr3: 169482370 | 0.28 | 0.4047980 |