Identification of a Five-Gene Panel to Assess Prognosis for Gastric Cancer

Table 4

Multivariable logistic regression analysis of variables for establishing the recurrence prediction model.

		SE	Wald	Df	Sig	Exp ()	95% CI for Exp ()
							Lower	Upper
Genes
TTN	-1.143	.484	5.579	1	.018	.319	.123	.823
KNL1	-2.014	.920	4.788	1	.029	.133	.022	.811
NRXN1	-1.260	.698	3.253	1	.071	.284	.072	1.115
CCDC169-SOHLH2	-.517	.913	.321	1	.571	.596	.100	3.569
C6	-2.178	.767	8.059	1	.005	.113	.025	.510
Clinical characteristics
Grade 1	-12.896	2383.604	.000	1	.996	2.508-6	.000	.c
Grade 2	-13.936	2383.604	.000	1	.995	8.861-7	.000	.c
Grade 3	-13.767	2383.604	.000	1	.995	1.050-6	.000	.c
Stage I	.471	1.088	.187	1	.665	1.601	.190	13.511
Stage II	.884	1.003	.776	1	.378	2.420	.339	17.294
Stage III	.294	.921	.102	1	.750	1.342	.221	8.160
Age 30-50	-16.884	.778	470.483	1	.000	4.647-8	1.011-8	2.137-7
50-70	-16.057	.500	1029.232	1	.000	1.064-7	3.988-8	2.836-7
70-90	-15.828	.000	.	1	.	1.336-7	1.336-7	1.336-7
White	-.659	1.063	.384	1	.535	.518	.064	4.154
ASINA	.821	1.195	.472	1	.492	2.273	.218	23.646
Black or African American	-19.562	6066.729	.000	1	.997	3.195-9	.000	.c
Male	-.961	.551	3.046	1	.081	.383	.130	1.125
History	1.284	.759	2.858	1	.091	3.610	.815	15.997