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Table 3 Results of cox regression analyses

From: Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system

Variable Univariate analysis P value Multivariate analysis P value
HR 95% CI Coefficient HR 95% CI
Model cohort (n = 556)
 Gender (male/female) 1.323 0.987–1.774 0.061 0.276 1.318 0.976–1.779 0.071
 Age (high/low) 1.023 1.011–1.036  < 0.001 0.031 1.032 1.019–1.045  < 0.001
 Stage (3–4/1–2) 1.824 1.364–2.439  < 0.001 0.457 1.580 0.877–2.846 0.128
 AJCC PM (1–2/0) 4.851 3.389–6.945  < 0.001 1.353 3.870 2.567–5.832  < 0.001
 AJCC PN (1–4/0) 1.456 1.091–1.943 0.011 − 0.244 0.784 0.454–1.352 0.381
 AJCC PT (3–4/1–2) 2.036 1.042–3.979 0.037 0.457 1.579 0.805–3.100 0.184
 Prognostic model (high/low) 4.921 3.472–6.974  < 0.001 1.467 4.337 3.046–6.174  < 0.001
Validation cohort (n = 428)        
 Gender (male/female) 1.125 0.755–1.678 0.562 − 0.133 0.875 0.583–1.313 0.520
 Age (high/low) 1.018 1.002–1.035 0.031 0.034 1.035 1.018–1.052  < 0.001
 Stage (3–4/1–2) 2.780 1.842–4.197  < 0.001 0.542 1.719 0.531–5.565 0.366
 AJCC PM (1–2/0) 3.073 2.057–4.593  < 0.001 0.773 2.166 1.403–3.343  < 0.001
 AJCC PN (1–4/0) 2.688 1.785–4.047  < 0.001 0.448 1.565 0.511–4.799 0.433
 AJCC PT (3–4/1–2) 3.299 1.442–7.550 0.005 0.949 2.582 1.082–6.163 0.033
 Prognostic model (high/low) 6.787 4.212–10.940  < 0.001 2.092 8.101 4.945–13.270  < 0.001
  1. The median of Prognostic model scores was used as the cut-off value to stratify gastric cancer patients into high risk group and low risk group
  2. AJCC, the American Joint Committee on Cancer; HR, hazard ratio; CI, confidence interval