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Table 3 Univariate and Multivariate Cox regression analysis of the GIlncSig in different cohorts

From: Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer

Variables Univariable model Multivariable model
HR 95%CI P-value HR 95%CI P-value
Training cohort (n = 203)
 Age (> 65)/ (≤ 65) 2.082 0.788–5.503 0.139    
 Gender Male/female 0.918 0.388–2.174 0.846    
 T (T3–4)/T2 1.884 0.648–5.475 0.244    
 M M1/M0 2.280 0.530–9.813 0.357    
 N (N1–3)/N0 2.743 1.285–5.854 0.009 2.244 1.019–4.940 0.045
 Risk score High/low 1.625 1.314–2.009  < 0.001 1.541 1.238–1.918  < 0.001
Testing cohort (n = 200)
 Age (> 65)/ (≤ 65) 1.458 0.697–3.051 0.317    
 Gender Male/female 0.454 0.217–0.948 0.037 0.510 0.241–1.079 0.078
 T (T3–4)/T2 2.673 1.023–6.988 0.045    
 M M1/ M0 2.427 0.574–10.273 0.228    
 N (N1–3)/N0 1.935 0.945–3.959 0.071    
 Risk score High/low 1.980 1.338–2.931  < 0.001 1.910 1.266–2.882 0.002
TCGA cohort (n = 403)
 Age (> 65)/(≤ 65) 1.629 0.915–2.901 0.098    
 Gender Male/female 0.635 0.364–1.108 0.109    
 T (T3–4)/T2 2.197 1.078–4.480 0.030    
 M M1/ M0 2.108 0.759–5.856 0.152    
 N (N1–3)/N0 2.222 1.325–3.725 0.002 1.657 0.932–2.944 0.085
 Risk score High/low 1.563 1.344–1.817  < 0.001 1.489 1.274–1.739  < 0.001