Skip to main content
. 2018 Nov 22;8:17259. doi: 10.1038/s41598-018-35332-4

Table 1.

Cox regression analysis of clinicopathological factors in PC.

Cohort 2 Univariable analysis Multivariable model 1
(nTOT = 45, nPCD = 29) Significant factors
Variable HR (95% CI) p Value HR (95% CI) p Value
RGS2 (Cat.) 2.172 (1.008–4.679) 0.048 1.221 (0.505–2.953) 0.658
M-stage (Cat.) 4.223 (1.412–12.632) 0.01 3.911 (1.243–12.308) 0.020
PSA (Log10) 1.860 (0.990–3.493) 0.054
GS (Cat.) 1.645 (0.279–1.323) 0.210
T-stage (Cat.) 0.589 (0.139–2.495) 0.472
Age (Cont.) 0.988 (0.938–1.041) 0.643
Multivariable model 2 Multivariable model 3
Biomarker Current diagnostic factors
Variable HR (95% CI) p Value HR (95% CI) p Value
RGS2 (Cat.) 2.08 (0.915–4.728) 0.032
M-stage (Cat.)
PSA (Log10) 1.555 (0.806–3.001) 0.188 1.873 (0.987–3.552) 0.055
GS (Cat.) 1.786 (0.810–3.938) 0.151
T-stage (Cat.) 0.611 (0.141–2.648) 0.51
Age (Cont.)

Results from Cox regression analysis presented as hazard ratio (HR) with the 95% confidence interval (CI) and p-value. For RGS2 the median categories were used. GS was divided according GS6-7 vs. GS8-9, T-stage T1-T2 vs. T3-T4, M-stage M0 vs. M1. Age was used as a continuous variable and for PSA a log10 transformation was applied. Additional abbreviation: Prostate cancer death (PCD).