A Five-Gene Signature Predicts Prognosis in Patients with Kidney Renal Clear Cell Carcinoma

Table 4

Univariable and multivariable Cox regression analyses in training and testing set.

Variables	Univariable model			Multivariable model
	HR	95% CI of HR	value	HR	95% CI of HR	value
Training set ( = 262)
Five-gene model	2.717	2.180–3.387	<0.001	2.752	2.193–3.454	<0.001
Age	1.031	1.014–1.050	0.001	1.032	1.009–1.048	0.003
Testing set ( = 261)
Five-gene model	1.936	1.620–2.315	<0.001	1.875	1.560–2.253	<0.001
Age	1.022	1.004–1.041	0.019	1.011	0.993–1.031	0.234
Training set ( = 262)
Five-gene model	2.717	2.180–3.387	<0.001	2.193	1.726–2.786	<0.001
Stage	2.097	1.734–2.537	<0.001	1.717	1.394–2.111	<0.001
Testing set ( = 261)
Five-gene model	1.936	1.620–2.315	<0.001	1.700	1.390–2.078	<0.001
Stage	1.905	1.564–2.322	<0.001	1.679	1.367–2.062	<0.001