Table A1.

P Values of All Variables in the Univariate Model Analysis and the Subsequent Iterations in the Stepwise Logistic Regression Process

Variable	P
	Univariate	Iteration 1	Iteration 2	Iteration 3	Iteration 3
TOP2A	.000	—	—	—	—
RRM2	.000	.582	.598	.450	.525
BIRC5	.000	.202	.294	.389	.540
Pred_fusion	.123	.109	.001	—	—
COL2A1	.023	.057	.002	.140	.257
CDH10	.012	.003	—	—	—
Aneuploidy	.004	.020	.015	.029	—
KHDRBS3	.065	.369	.008	.218	.293
NRP1	.010	.128	.070	.302	.262
ADD2	.324	.011	.121	.072	.042
SSTR1	.015	.431	.359	.467	.471
PTPRM	.174	.062	.037	.382	.227
CDH7	.482	.681	.047	.706	.544
Col10A1	.831	.387	.713	.177	.082
HDAC9	.447	.830	.082	.584	.530
ERG	.698	.950	.139	.100	.101
DDC	.127	.571	.284	.256	.298
GRIN3A	.137	.710	.540	.800	.856
B3GnT6	.523	.453	.960	.264	.171
DCAMKL1	.611	.311	.930	.200	.171
HOXC6	.755	.174	.224	.680	.855
AMACR	.183	.175	.247	.321	.299
F5	.257	.982	.191	.980	.942
C20orf22	.433	.199	.622	.355	.307
PKIB	.284	.959	.332	.203	.246
LTB	.629	.289	.443	.215	.253
TMEM45	.216	.968	.290	.732	.792
SLC3A1	.831	.585	.703	.234	.242
SDC2	.368	.246	.293	.438	.293
CADPS	.702	.797	.266	.860	.955
PCDHB10	.559	.890	.275	.741	.462
PTPRT	.755	.295	.461	.391	.427
RAB6B	.324	.747	.353	.708	.794
HS2ST1	.327	.663	.861	.904	.895
PHCA	.970	.411	.797	.364	.415
SERPINI	.757	.365	.946	.813	.661
TDO2	.508	.769	.415	.773	.700
DSC54	.835	.688	.957	.640	.419
PPFIA2	.840	.506	.692	.741	.503
C20orf102	.917	.928	.990	.535	.664