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Table 2 Univariate and multivariate Cox regression model built to predict PFS including the genetic score and clinical characteristics of PCa patients

From: Gene’s expression underpinning the divergent predictive value of [18F]F-fluorodeoxyglucose and prostate-specific membrane antigen positron emission tomography in primary prostate cancer: a bioinformatic and experimental study

Variable

Univariate

Multivariate

HR (95% CI)

p-value

HR (95% CI)

p-value

Glucose-metabolism-related genetic score

 < 0.1511

1.00 (ref)

1.00 (ref)

 ≥ 0.1511

3.42 (2.15–5.45)

 < 0.0001

2.81 (1.69–4.62)

 < 0.0001

Age at diagnosis (years)

 < 61

1.00 (ref)

  

 ≥ 61

1.62 (0.77–1.74)

0.469

  

Race

White

1.00 (ref)

  

Black or African American

0.001 (0.001–255.10)

0.957

  

Histopathological tumour type

Acinar

1.00 (ref)

  
 

Other type

2.04 (0.74–5.57)

0.162

  

T-status

 < T2c

1.00 (ref)

1.00 (ref)

 

 ≥ T3a

3.69 (2.09–6.54)

 < 0.0001

3.06 (1.61–5.85)

0.0007

N-status

0

1.00 (ref)

  
 

1

1.81 (1.11–2.96)

0.016

  
  1. Statistically significant p values are highlighted in bold