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. 2003 Jul 15;89(2):271–276. doi: 10.1038/sj.bjc.6601122

Table 3. Multivariatea Cox regression analysis.

Variable HR (95% CI)b P
Base model    
Age (years)   0.146
 ⩾50 vs <50 0.61 (0.31–1.19)  
Tumour size   0.140
 pT2 vs pT1 1.95 (0.98–3.86)  
 pT3+4 vs pT1 1.96 (0.90–4.28)  
Histological grade   0.019
 III vs I/II 2.20 (1.21–4.03)  
No. of involved lymph nodes   <0.001
 1–3 vs node negative 6.27 (2.89–13.6)  
 ⩾4 vs node negative 13.1 (6.12–27.9)  
ER statusc   0.852
 Positive vs negative 1.08 (0.49–2.39)  
PgR statusc   0.858
 Positive vs negative 0.96 (0.58–1.58)  
     
Additions to model    
CA9   0.018
 Log-transformed 0.77 (0.62–0.96)  
Adjuvant radiotherapy   0.128
 Yes vs no 0.60 (0.31–1.16)  
Adjuvant chemotherapy   0.828
 Yes vs no 0.76 (0.06–9.25)  
Adjuvant endocrine therapy   0.889
 Yes vs no 1.15 (0.17–7.96)  
Interaction, radiotherapy × CA9   0.624
 Yes and log-transformed vs no and log-transformed 0.89 (0.54–1.44)  
Interaction, chemotherapy × CA9   0.009
 Yes and log-transformed vs no and log-transformed 1.31 (1.07–1.61)  
Interaction, endocrine therapy × CA9   <0.001
 Yes and log-transformed vs no and log-transformed 1.41 (1.20–1.66)  

The analysis was conducted in two blocks. Firstly, a model including all established clinicopathological factors was fitted. In a second block, the contributions ofCA9 (as a continuous, log-transformed variable), treatment and interactions were investigated.

a

The final multivariate model included 220 patients.

b

Hazard ratio (95% CI) of multivariate analysis.

c

Cut-off point used for ER and PgR, 10 fmol mg−1 protein.

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