Research Article
Development of a 3-MicroRNA Signature and Nomogram for Predicting the Survival of Patients with Uveal Melanoma Based on TCGA and GEO Databases
Table 1
Clinicopathological characteristics of training and testing datasets. T: tumor; N: node; M: metastasis; SD: standard deviation.
| | Testing datasets | Training datasets | values |
| n | 40 | 40 | | Vital_status = DEAD (%) | 12 (30.0) | 11 (27.5) | 1 | Race = white (%) | 29 (100.0) | 26 (100.0) | | Age (mean (SD)) | 66.98 (13.86) | 60.59 (14.28) | 0.046 | Gender = MALE (%) | 25 (62.5) | 20 (50.0) | 0.367 | Stage (%) | | | 0.627 | | 0 (0.0) | 1 (2.5) | | IIA | 6 (15.0) | 6 (15.0) | | IIB | 11 (27.5) | 16 (40.0) | | IIIA | 13 (32.5) | 12 (30.0) | | IIIB | 6 (15.0) | 4 (10.0) | | IIIC | 1 (2.5) | 0 (0.0) | | IV | 3 (7.5) | 1 (2.5) | | M (%) | | | 0.492 | m0 | 26 (66.7) | 25 (64.1) | | m1 | 2 (5.1) | 0 (0.0) | | m1b | 1 (2.6) | 1 (2.6) | | mx | 10 (25.6) | 13 (33.3) | | N = nx (%) | 13 (33.3) | 14 (35.0) | 1 | T (%) | | | 0.498 | t2a | 6 (15.0) | 6 (15.0) | | t2b | 0 (0.0) | 2 (5.0) | | t3 | 0 (0.0) | 1 (2.5) | | t3a | 11 (27.5) | 14 (35.0) | | t3b | 2 (5.0) | 3 (7.5) | | t3c | 0 (0.0) | 1 (2.5) | | t4a | 12 (30.0) | 8 (20.0) | | t4b | 6 (15.0) | 3 (7.5) | | t4c | 1 (2.5) | 1 (2.5) | | t4d | 2 (5.0) | 0 (0.0) | | t4e | 0 (0.0) | 1 (2.5) | | Age_group = younger (%) | 17 (42.5) | 23 (57.5) | 0.264 | Time (mean (SD)) | 15.45 (13.89) | 14.96 (15.23) | 0.88 |
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