Table 2. The Nine Genes Best Predictors Extracted From 23 Signature Genes Using the Cox-PH Model With Recursive Feature Elimination.

	coef	std err	z	P > |z|	(0.025	0.975)
23 genes
const	-0.568	0.684	-0.83	0.406	-1.909	0.773
AGL	0.2822	0.109	2.591	0.01	0.069	0.496
BIRC5	0.1692	0.227	0.747	0.455	-0.275	0.613
C1orf64	-0.216	0.061	-3.565	0	-0.335	-0.097
CDCA3	0.1451	0.282	0.514	0.607	-0.408	0.698
CENPF	0.1927	0.243	0.795	0.427	-0.283	0.668
CEP55	-0.7396	0.378	-1.957	0.05	-1.48	0.001
CIDEC	0.021	0.077	0.272	0.785	-0.13	0.172
CKAP2L	0.8004	0.44	1.82	0.069	-0.062	1.663
CRTAP	-0.3557	0.197	-1.808	0.071	-0.741	0.03
CYP4F22	-0.1655	0.09	-1.845	0.065	-0.341	0.01
E2F2	-0.3632	0.253	-1.434	0.152	-0.86	0.133
FHL2	-0.0056	0.098	-0.057	0.955	-0.197	0.186
FOS	0.0434	0.077	0.566	0.571	-0.107	0.194
GSTM2	-0.0754	0.08	-0.937	0.349	-0.233	0.082
HNMT	-0.5129	0.213	-2.405	0.016	-0.931	-0.095
KIF20A	1.2829	0.324	3.956	0	0.647	1.919
LAD1	0.2009	0.083	2.423	0.015	0.038	0.363
PIP	0.0504	0.044	1.155	0.248	-0.035	0.136
PRC1	-0.5401	0.27	-2	0.045	-1.069	-0.011
S100P	0.1684	0.047	3.571	0	0.076	0.261
SEPP1	0.2943	0.13	2.267	0.023	0.04	0.549
STAT1	-0.0774	0.111	-0.695	0.487	-0.296	0.141
TUBA3D	-0.2673	0.074	-3.619	0	-0.412	-0.123
13 genes
const	-0.93	0.458	-2.029	0.042	-1.828	-0.032
AGL	0.2695	0.105	2.557	0.011	0.063	0.476
C1orf64	-0.2189	0.058	-3.774	0	-0.333	-0.105
CEP55	-0.7108	0.353	-2.012	0.044	-1.403	-0.019
CKAP2L	0.7766	0.4	1.943	0.052	-0.007	1.56
CRTAP	-0.345	0.184	-1.876	0.061	-0.705	0.015
CYP4F22	-0.1731	0.088	-1.96	0.05	-0.346	-3.02E-05
HNMT	-0.3755	0.198	-1.893	0.058	-0.764	0.013
KIF20A	1.2816	0.307	4.168	0	0.679	1.884
LAD1	0.2107	0.081	2.611	0.009	0.053	0.369
PRC1	-0.513	0.261	-1.966	0.049	-1.024	-0.002
S100P	0.1733	0.046	3.74	0	0.082	0.264
SEPP1	0.2812	0.123	2.277	0.023	0.039	0.523
TUBA3D	-0.2489	0.07	-3.532	0	-0.387	-0.111
12 genes
const	-0.9519	0.458	-2.079	0.038	-1.85	-0.054
AGL	0.3102	0.103	3.013	0.003	0.108	0.512
C1orf64	-0.2124	0.058	-3.668	0	-0.326	-0.099
CEP55	-0.631	0.35	-1.803	0.071	-1.317	0.055
CKAP2L	0.9341	0.392	2.383	0.017	0.166	1.702
CYP4F22	-0.17	0.088	-1.926	0.054	-0.343	0.003
HNMT	-0.5147	0.184	-2.793	0.005	-0.876	-0.153
KIF20A	1.1914	0.303	3.931	0	0.597	1.785
LAD1	0.2105	0.081	2.603	0.009	0.052	0.369
PRC1	-0.5702	0.259	-2.202	0.028	-1.078	-0.063
S100P	0.1651	0.046	3.582	0	0.075	0.255
SEPP1	0.183	0.112	1.636	0.102	-0.036	0.402
TUBA3D	-0.2344	0.07	-3.353	0.001	-0.371	-0.097
11 genes
const	-0.8428	0.452	-1.866	0.062	-1.728	0.042
AGL	0.3101	0.103	3.014	0.003	0.108	0.512
C1orf64	-0.2005	0.057	-3.495	0	-0.313	-0.088
CEP55	-0.5666	0.347	-1.632	0.103	-1.247	0.114
CKAP2L	0.8471	0.388	2.182	0.029	0.086	1.608
CYP4F22	-0.1772	0.088	-2.014	0.044	-0.35	-0.005
HNMT	-0.3585	0.157	-2.289	0.022	-0.665	-0.051
KIF20A	1.1552	0.302	3.822	0	0.563	1.748
LAD1	0.2013	0.08	2.501	0.012	0.044	0.359
PRC1	-0.5527	0.259	-2.134	0.033	-1.06	-0.045
S100P	0.1609	0.046	3.504	0	0.071	0.251
TUBA3D	-0.2376	0.07	-3.398	0.001	-0.375	-0.101
10 genes
const	-0.7569	0.447	-1.692	0.091	-1.633	0.12
AGL	0.2979	0.102	2.907	0.004	0.097	0.499
C1orf64	-0.1867	0.057	-3.294	0.001	-0.298	-0.076
CKAP2L	0.5869	0.352	1.67	0.095	-0.102	1.276
CYP4F22	-0.1749	0.088	-1.99	0.047	-0.347	-0.003
HNMT	-0.4006	0.154	-2.602	0.009	-0.702	-0.099
KIF20A	1.036	0.292	3.545	0	0.463	1.609
LAD1	0.1867	0.08	2.341	0.019	0.03	0.343
PRC1	-0.6683	0.249	-2.688	0.007	-1.156	-0.181
S100P	0.1609	0.046	3.509	0	0.071	0.251
TUBA3D	-0.2381	0.07	-3.416	0.001	-0.375	-0.101
9 genes
const	-1.0651	0.407	-2.617	0.009	-1.863	-0.267
AGL	0.3107	0.102	3.04	0.002	0.11	0.511
C1orf64	-0.1932	0.057	-3.416	0.001	-0.304	-0.082
CYP4F22	-0.176	0.088	-2.009	0.045	-0.348	-0.004
HNMT	-0.4024	0.154	-2.611	0.009	-0.705	-0.1
KIF20A	1.2687	0.258	4.915	0	0.763	1.775
LAD1	0.1841	0.08	2.309	0.021	0.028	0.34
PRC1	-0.4968	0.226	-2.2	0.028	-0.939	-0.054
S100P	0.1645	0.046	3.596	0	0.075	0.254
TUBA3D	-0.2352	0.07	-3.38	0.001	-0.372	-0.099

Cox-PH: Cox proportional-hazards.