Table 5.

Classification Power for Selected Candidate Genes Based on Real-Time qRT-PCR.

	Prediction Power for pN-/pN+				Prediction Power for ECS-/ECS+
	Wilcoxon P	ROC (AUC)	Sensitivity	Specificity	Wilcoxon P	ROC (AUC)	Sensitivity	Specificity
BMP2	.043	74	82	73	.069	74	86	68
CTTN	<.0001	94	91	80	.004	88	86	74
EEF1A1	.078	71	55	33	.064	74	57	26
ASAH1	.259	64	27	73	.209	67	29	74
MTUS1	.364	61	64	33	.544	58	57	37
GTSE1	.013	79	73	80	.107	71	71	74
MMP9	.001	88	82	93	.001	95	100	89
EGFR	.004	82	73	80	.055	75	71	79
	The best model*
	Model for pN-/pN+	Sensitivity	Specificity	Overall accuracy rate (%)	Model for ECS-/ECS+	Sensitivity	Specificity	Overall accuracy rate (%)
	CTTN+MMP9+EGFR	100	100	84.6**	CTTN+EEF1A1+MMP9	100	100	84.6**

^*The best model is generated based on stepwise logistic model selection.

^**The overall accuracy rate is estimated by the leave-one-out cross validation approach.