Table 2.

Cox Regression Analysis for Identification of Hub RBPs in the Training Dataset

Gene	Univariate Analysis				Multivariate Analysis				Coef
	P value	HR	95.0% CI		P value	HR	95.0% CI
			Lower	Upper			Lower	Upper
EZH2	0.040*	0.943	0.892	0.997
RAVER1	0.006**	0.959	0.931	0.988
IFIT1	0.042*	1.020	1.001	1.039
PTBP1	0.037*	0.990	0.981	0.999	0.000***	1.041	1.020	1.062	0.040
TTF2	0.038*	0.878	0.777	0.993
CSTF2	0.025*	0.956	0.919	0.994
PATL1	0.046*	0.980	0.961	0.999
RNASE6	0.036*	1.011	1.001	1.022
PPIH	0.040*	0.975	0.951	0.999	0.011*	0.949	0.912	0.988	−0.052
SMAD5	0.009**	1.077	1.018	1.140	0.000***	1.187	1.078	1.307	0.172
MSI2	0.004**	0.881	0.808	0.962	0.003**	0.812	0.708	0.931	−0.208
RBM15	0.003**	0.848	0.760	0.946	0.000***	0.623	0.509	0.762	−0.474
REPIN1	0.010*	0.989	0.981	0.997
METTL2B	0.002**	0.802	0.697	0.922
MRPS17	0.000***	1.062	1.030	1.096	0.000***	1.075	1.042	1.109	0.072
YBX1	0.019*	0.998	0.996	0.999
DAZAP1	0.009**	0.944	0.904	0.986
FTO	0.013*	1.160	1.032	1.304
SF3A3	0.044*	0.953	0.909	0.999
ADAT3	0.001**	0.854	0.780	0.934	0.001**	0.781	0.675	0.903	−0.248
BICC1	0.005**	1.072	1.021	1.125
RPS4Y1	0.015*	1.006	1.001	1.010
LARP6	0.029*	1.099	1.010	1.197
DDX3Y	0.014*	1.047	1.010	1.087
POLR2J2	0.045*	202,696.903	1.120	3.67E+10

Notes: Statistical significance was described as follows: *p <0.05, **p<0.01, ***p<0.001.