Table 3.

Univariate and multivariate analysis.

Univariate Logistic Analysis				ROC Analysis
Variable	β	OR (95% CI)	p-Value	AUC (95% CI)	p-Value
AMACR	0.168	1.183 (1.031–1.357)	0.017	0.569 (0.502–0.635)	0.023
PCA3	0.233	1.263 (1.09–1.463)	0.002	0.602 (0.533–0.667)	0.002
TRPM8	0.341	1.406 (1.143–1.73)	0.001	0.599 (0.532–0.664)	0.003
MSMB	0.07	1.072 (0.883–1.303)	0.482	0.526 (0.458–0.594)	0.223
EZH2	0.127	1.136 (1.037–1.244)	0.006	0.587 (0.519–0.653)	0.007
EPCAM	0.141	1.152 (0.991–1.338)	0.065	0.585 (0.488–0.674)	0.042
PSGR	0.127	1.135 (0.888–1.451)	0.311	0.532 (0.44–0.633)	0.255
% free PSA	−0.075	0.928 (0.879–0.98)	0.007	0.666 (0.559−0.763)	0.001
Multivariate Logistic Analysis				ROC Analysis
Whole Cohort	β	OR (95% CI)	p-Value	AUC (95% CI)	p-Value
age	0.043	1.044 (0.97–1.123)	0.256	0.728 (0.633–0.816)	<0.001
AMACR	0.244	1.277 (0.943–1.729)	0.114
PCA3	0.283	1.327 (1.01–1.742)	0.042
% free PSA	−0.082	0.921 (0.871–0.975)	0.004
Subset	β	OR (95% CI)	p-Value	AUC (95% CI)	p-Value
PCA3	0.439	1.551 (1.092–2.205)	0.014	0.753 (0.642–0.862)	<0.001
EPCAM	0.207	1.23 (0.935–1.619)	0.139
PSGR	−0.151	0.86 (0.578–1.278)	0.454
% free PSA	−0.064	0.938 (0.877–1.004)	0.064

AUC, area under curve; OR, odds ratio; ROC, receiver-operating characteristic; β, beta coefficient; 95% CI, 95% confidence interval.