Verification of gene expression profiles for colorectal cancer using 12 internet public microarray datasets

Table 2 Logistic regression models for pooled 12 microarray datasets as the external validation of colorectal cancer-associated genes from 3 studies

Genes	Model 1			Model 2			Model 3			Model 4
	B	SE	P value	B	SE	P value	B	SE	P value	B	SE	P value
5 Selective genes of this study
MDM2	6.069	1.461	< 0.001
DUSP6	1.360	0.235	< 0.001
CPEB4	-3.177	0.383	< 0.001							-4.423	1.160	< 0.001
MMD	0.335	0.442	0.448
EIF2S3	1.462	0.244	< 0.001							2.604	0.856	0.002
7 Selective genes of Marshall et al[11]
ANXA3				0.559	0.212	0.008				1.566	0.485	0.001
CLEC4D				46.259	9.918	< 0.001
LMNB1				1.883	0.330	< 0.001
PRRG4				-1.284	0.371	0.001
TNFAIP6				1.787	0.377	< 0.001				2.0031	0.572	< 0.001
VNN1				0.207	0.159	0.194
IL2RB				0.269	0.216	0.213				1.824	0.637	0.004
5 Selective genes of Han et al[12]
CDA							-0.496	0.090	< 0.001
MGC20553							-1.386	0.197	< 0.001	-1.751	0.619	0.005
BANK1							0.570	0.373	0.129
BCNP1							-0.944	1.148	0.411
MS4A1							-1.483	0.457	0.001	-1.907	0.590	0.001
P value for H-L		0.460			0.044			0.194			1.000
R2		0.853			0.841			0.693			0.933
AUC		0.978			0.985			0.957			0.999
Accuracy		0.949			0.974			0.939			0.990
Specificity		0.818			0.886			0.716			0.966
Sensitivity		0.971			0.988			0.977			0.994

Model 1: 5 selective genes from the study by Quyun et al[10] and Chang et al[13]; Model 2: 7 selective genes from the study by Marshall et al[11]; Model 3: 5 selective genes from the study by Han et al[12]; Model 4: 7 selective genes from Models 1, 2 and 3; H-L: Hosmer and Lemeshow test; R²: Nagelkerke R Square; AUC: Area under receiver operating characteristic curve.