Table 4.

Univariate and multivariate regression analysis was used to predict the overall survival rate of glioma patients

Characteristic	TCGA (n = 668)			CGGA (n = 326)
	P	HR	95%CI	P	HR	95%CI
Univariate
Age	< 0.0001	1.068	1.057–1.078	< 0.0001	1.054	1.038–1.070
Gender	0.144	0.826	0.639–1.068	0.806	1.044	0.741–1.469
Grade	< 0.0001	4.638	3.803–5.657	< 0.0001	1.952	1.708–2.232
IDH	< 0.0001	0.127	0.096–0.169	< 0.0001	2.802	1.960–4.007
EGFR	< 0.0001	1.187	1.103–1.278	0.808	1.013	0.914–1.123
ERBB2	< 0.0001	2.177	1.884–2.516	< 0.0001	1.961	1.613–2.384
ERBB3	0.001	0.879	0.818–0.946	0.005	0.866	0.783–0.958
ERBB4	< 0.0001	0.684	0.638–0.734	< 0.0001	0.630	0.564–0.703
Multivariate
Age	< 0.0001	1.033	1.021–1.044	0.001	1.029	1.012–1.046
Gender	0.596	0.931	0.715–1.212	0.482	0.882	0.620–1.253
Grade	< 0.0001	2.218	1.727–2.848	< 0.0001	1.752	1.485–2.066
IDH	< 0.0001	0.341	0.235–0.495	0.429	1.192	0.771–1.841
EGFR	0.459	0.978	0.921–1.038	0.776	1.012	0.931–1.100
Age	< 0.0001	1.032	1.020–1.044	0.002	1.027	1.010–1.044
Gender	0.537	0.920	0.706–1.199	0.531	0.894	0.629–2.067
Grade	< 0.0001	2.185	1.700–2.809	< 0.0001	1.751	1.483–2.067
IDH	< 0.0001	0.375	0.253–0.554	0.876	1.036	0.662–1.622
EGFR2	0.142	1.128	0.960–1.326	< 0.0001	1.464	1.199–1.786
Age	< 0.0001	1.034	1.022–1.045	0.001	1.029	1.012–1.045
Gender	0.646	0.940	0.722–1.224	0.491	0.884	0.621–1.257
Grade	< 0.0001	2.288	1.780–2.942	< 0.0001	1.745	1.479–2.059
IDH	< 0.0001	0.335	0.231–0.484	0.437	1.188	0.768–1.835
EGFR3	0.032	1.077	1.006–1.153	0.766	0.986	0.896–1.084
Age	< 0.0001	1.033	1.021–1.045	0.001	1.027	1.011–1.043
Gender	0.623	0.936	0.719–1.218	0.678	0.927	0.650–1.323
Grade	< 0.0001	2.282	1.755–2.967	< 0.0001	1.575	1.322–1.876
IDH	< 0.0001	0.333	0.227–0.488	0.329	1.248	0.800–1.946
EGFR4	0.396	1.041	0.949–1.141	< 0.0001	0.757	0.664–0.864