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Table 3 Cox proportional hazards regression models examining the prognostic value of clinical factors and signatures derived from single proteins and apoptosis modelling

From: System-based approaches as prognostic tools for glioblastoma

Predictors

HR

95% CI

P

Age (continuous, n = 46)

1.02

1.00–1.05

0.06

Sex (ref. M, n = 24)

  

0.40

 F (n = 22)

0.76

0.41–1.43

 

Location (ref. left side, n = 13)

  

0.58

 Right side (n = 28)

1.28

0.62–2.64

 

 Other (n = 4)

0.73

0.20–2.66

 

History (ref. newly-diagnosed - no treatment, n = 31)

  

0.06

 Recurrent - no treatment (n = 6)

1.86

0.69–5.01

 

 Recurrent - treatment (n = 9)

2.73

1.19–6.25

 

MGMT promoter methylation (ref. methylated, n = 17)

  

0.52

 Unmethylated (n = 22)

1.26

0.62–2.59

 

Apaf-1 (ref. >median, n = 23)

  

0.20

 ≤ median (n = 23)

1.52

0.80–2.87

 

Procaspase-3 (ref. >median, n = 23)

  

0.06

 ≤ median (n = 23)

1.91

0.99–3.69

 

Procaspase-9 (ref. >median, n = 23)

  

0.49

 ≤ median (n = 23)

1.25

0.66–2.37

 

SMAC (ref. >median, n = 23)

  

0.38

 ≤ median (n = 23)

1.34

0.70–2.55

 

XIAP (ref. >median, n = 23)

  

0.47

 ≤ median (n = 23)

1.27

0.67–2.40

 

Apoptosis susceptibility (ref. SC > 80%, n = 37)

  

0.001

 SC ≤ 80% (n = 9)

5.02

2.04–12.33

 

Adjusted apoptosis susceptibility (ref. SC > 80%, n = 37)a

  

0.006

 SC ≤ 80% (n = 9)

4.40

1.59–12.14

 
  1. P-values determined by likelihood ratio tests
  2. aAdjusted for age, history and MGMT promoter status