Skip to main content
. 2008 Oct 28;99(10):1718–1725. doi: 10.1038/sj.bjc.6604747

Table 2. Descriptive statistic, univariate and multivariate analyses for PRL-3 and clinicopathological variables.

  Descriptive
Univariate Cox's proportional hazard model
Univariate binary logistic regression
Multivariate Cox's proportional hazard model
Multivariate binary logistic regression
  N % Mean survival HR CI P-value OR CI P-value HR CI P-value OR CI P-value
Gender
 Female 40 50 78.76±6.8 1 0.672–2.948 0.366 1 0.683–4.022 0.263 1 0.54–2.46 0.714 1 0.483–4.072 0.533
 Male 40 50 67.04±5.8 1.407     1.658     1.153     1.403    
                               
Tumour stage
 IIIB 46 57.5 80.11±5.53 1 0.951–4.121 0.068 1 0.983–6.044 0.055 1 0.848–4.076 0.122 1 0.793–7.9 0.118
 IIIC 34 42.5 63.14±7.26 1.98     2.437     1.859     2.503    
                               
Location
 Colon 54 67.5 76.09±7.38 1 0.544–2.625 0.657 1 0.393–2.51 0.99 1 0.564–2.794 0.578 1 0.327–3.118 0.987
 Rectum 26 32.5 71.36±5.68 1.195     1.006     1.255     1.009    
                               
Vascular or lymphatic invasion
 No 39 48.8 82.63±6.01 1 0.866–3.886 0.113 1 0.928–5.607 0.072 1 0.484–2.544 0.805 1 0.392–3.792 0.732
 Yes 41 51.3 63.64±6.41 1.834     2.282     1.110     1.219    
                               
PRL-3 expression
 Low 42 52.5 87.12±5.75 1 1.607–8.24 0.002 1 3.65–28.81 <0.0001 1 1.405–7.852 0.006 1 3.308–28.98 <0.0001
 High 38 47.5 57.17±6.16 3.639     10.267     3.322     9.791    

Cox's proportional hazard models were fitted to estimate hazard ratios (HRs), and 95% confidence interval (CI) and likelihood ratio tests were performed to assess the statistical significance of the variables.

Binary logistic regression was performed to identify predictors for distant dissemination.