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 datasetsTraining datasets values

n4040
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)
 IIA6 (15.0)6 (15.0)
 IIB11 (27.5)16 (40.0)
 IIIA13 (32.5)12 (30.0)
 IIIB6 (15.0)4 (10.0)
 IIIC1 (2.5)0 (0.0)
 IV3 (7.5)1 (2.5)
M (%)0.492
 m026 (66.7)25 (64.1)
 m12 (5.1)0 (0.0)
 m1b1 (2.6)1 (2.6)
 mx10 (25.6)13 (33.3)
N = nx (%)13 (33.3)14 (35.0)1
T (%)0.498
 t2a6 (15.0)6 (15.0)
 t2b0 (0.0)2 (5.0)
 t30 (0.0)1 (2.5)
 t3a11 (27.5)14 (35.0)
 t3b2 (5.0)3 (7.5)
 t3c0 (0.0)1 (2.5)
 t4a12 (30.0)8 (20.0)
 t4b6 (15.0)3 (7.5)
 t4c1 (2.5)1 (2.5)
 t4d2 (5.0)0 (0.0)
 t4e0 (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