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. 2014 Jul 30;15(8):13299–13316. doi: 10.3390/ijms150813299

Table 3.

Multivariate analyses evaluating the ability of clinico-biological variables to predict major outcomes at prostatectomy.

Pathological Characteristics Serum PSA Urinary PCA3 Score Urinary T2 Score PHI
Tumor volume
Univariate analysis p = 0.240 p = 0.004 p = 0.025 p = 0.004
Multivariate analysis - p = 0.076 p = 0.249 p = 0.020
Gleason sum
Univariate analysis p = 0.658 p = 0.922 p = 0.168 p = 0.028
Multivariate analysis - - - -
pT stage
Univariate analysis p = 0.231 p = 0.328 p = 0.005 p = 0.038
Multivariate analysis - - p = 0.026 p = 0.042
Multifocality
Univariate analysis p = 0.704 p = 0.014 p = 0.413 p = 0.814
Multivariate analysis - - - -
Positive margins
Univariate analysis p = 0.006 p = 0.580 p = 0.074 p = 0.003
Multivariate analysis p = 0.357 - - p = 0.131

Abbreviations: PCA3: prostate cancer gene 3; PHI: Prostate Health Index; PSA: prostate-specific antigen; T2: TMPRSS2:ERG fusion gene.