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. Author manuscript; available in PMC: 2015 Jun 15.
Published in final edited form as: Cancer. 2014 Mar 25;120(12):1800–1809. doi: 10.1002/cncr.28646

Table 2.

Biomarkers as predictors of time to biochemical failure using Cox regression models

Variable Univariate Multivariate*


N-total N-events HR (95%CI) P-value N-total N-events HR (95%CI) P-value
HAS2 93 14 1.29 (0.73–2.27) 0.381 87 13 1.66 (0.90–3.03) 0.102
HA 94 15 1.66 (0.97–2.83) 0.065 88 14 1.74 (1.01–2.99) 0.047
HYAL1 93 13 1.54 (0.88–2.68) 0.131 87 12 1.63 (0.86–3.12) 0.136
CD44 92 13 0.87 (0.50–1.54) 0.642 86 12 0.75 (0.42–1.35) 0.339
CD44v6 91 13 1.24 (0.77–2.00) 0.376 85 12 1.34 (0.79–2.26) 0.282
HMMR 89 13 2.00 (1.08–3.71) 0.028 83 12 2.03 (1.04–3.99) 0.040
*

Adjusted for age at prostatectomy, preoperative PSA, primary Gleason pattern, and Non-Localized Tumor Indicator.