Machine Learning Analysis of Immune Cells for Diagnosis and Prognosis of Cutaneous Melanoma

Table 2

Univariate and multivariate Cox regression of risk scores and clinical features correlated with the overall survival time in train, test, and GSE54467 datasets. IQR: interquartile range. HR: hazard ratio.

Train sample (n = 179)	Univariate analysis				Multivariate analysis
Marker	value	HR	Lower 0.95	Upper 0.95	value	HR	Lower 0.95	Upper 0.95
Age	0.000	1.028	1.013	1.044	0.004	1.024	1.007	1.041
Gender	0.880	0.965	0.608	1.533	0.840	1.055	0.631	1.763
Race	0.002	0.157	0.047	0.521	0.074	0.329	0.097	1.114
Stage	0.004	1.493	1.140	1.957	0.009	1.466	1.099	1.957
Tumor_status	0.000	8.711	3.789	20.027	0.000	7.067	3.039	16.435
Risk score	0.005	2.619	1.333	5.147	0.005	3.517	1.457	8.492
Test sample (n = 179)
Age	0.002	1.023	1.008	1.038	0.020	1.020	1.003	1.037
Gender	0.187	1.367	0.859	2.175	0.570	1.160	0.695	1.935
Race	0.474	0.484	0.066	3.531	0.015	0.063	0.007	0.585
Stage	0.012	1.471	1.088	1.988	0.000	1.909	1.387	2.626
Tumor_status	0.000	9.188	4.233	19.946	0.000	19.431	6.995	53.973
Risk score	0.018	2.028	1.131	3.637	0.042	1.869	1.022	3.417
GSE54467 sample (n = 79)
Age	0.014	1.023	1.005	1.041	0.003	1.029	1.010	1.049
Gender	0.998	1.001	0.568	1.764	0.572	1.181	0.663	2.105
Stage	0.675	1.077	0.762	1.522	0.148	1.321	0.906	1.927
Risk score	0.000	2.683	1.670	4.312	0.000	2.661	1.654	4.281