Model 1 Model 2 Model 3 Model4   B S.E. p B S.E. p B S.E. p B S.E. p 5 Candidate 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 Candidate genes of Marshall et al. [7]                         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       2.031 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 Candidate genes of Han et al. [8]                         CDA             -0.496 0.090 <0.001       MGC20553             -1.386 0.197 <0.001 -1.751 0.619 0.005 BANK1             0.565 0.373 0.129       BCNP1             -0.944 1.148 0.411       MAS4A1             -1.483 0.457 0.001 -1.907 0.590 0.001 Constant -32.758 6.001 <0.001 -124.678 25.437 <0.001 16.601 2.995 <0.001 -14.268 6.968 0.041 H-L   0.460     0.044     0.194     1.000   R2   0.853     0.841     0.693     0.951   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 candidate genes of this study; Model 2: 7 candidate genes of Marshall et al. ; Model 3: 5 candidate genes of Han et al. ; Model 4: stepwise 7 candidate genes from model 1, 2 and 3; B: logistic regression coifficient beta; S.E.: standard error of B; p: p value with statistical significance; H-L: Hosmer and Lemeshow test p value R2: Nagelkerke R Square; AUC: area under ROC

Table 5: The logistic regression models for pooled 12 microarray data sets as the external validation of CRC-associated genes from 3 studies.