Table 2.
Binary and multivariate logistic regression analyses
| a Binary logistic regression analysis of predictors of metastatic risk in uveal melanoma | ||
| HR (95% CI) | p value | |
| Age | 1.2 (0.8–1.8) | 0.46 |
| Sex | 0.4 (0.1–1.5) | 0.18 |
| LBD | 1.0 (0.6–1.5) | 0.98 |
| Tumour thickness | 1.0 (0.7–1.6) | 0.86 |
| AJCC T category | ||
| 1 | Reference | |
| 2 | 0.7 (0.03–18.1) | 0.81 |
| 3 | 0.7 (0.04–12.8) | 0.79 |
| 4 | 1.7 (0.07–38.0) | 0.75 |
| Nuclear BAP1 stain | ||
| High | Reference | |
| Low | 21.7 (2.2–210.1) | <0.01 |
| Cytoplasmic BAP1 stain | ||
| Low | Reference | |
| High | 2.2 (0.6–9.6) | 0.29 |
| Gene expression class | ||
| 1a | Reference | |
| 1b | 2.0 (0.1–28.4) | 0.61 |
| 2 | 16.5 (1.5–183.1) | 0.02 |
| b Multivariate logistic regression model evaluating metastatic risk | ||
| OR (95% CI) | p value | |
| Nuclear BAP1 stain | 12.4 (0.4–413.2) | 0.16 |
| Gene expression class | 1.5 (0.2–11.2) | 0.7 |
LBD, largest basal diameter; AJCC, American Joint Committee on Cancer [19]; T, primary tumour; BAP1, BRCA1-associated protein-1; HR, hazard ratio; OR, odds ratio.