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Table 4 Univariate Cox regression modeling for the overall survival using each of the clinical parameters (A) and multivariate Cox regression modeling by combining seven variables (P <0.05 in univariate analysis) (B) in validation set II. All the variables (except the metastasis site and treatment line) were considered as continuous values

From: A robust blood gene expression-based prognostic model for castration-resistant prostate cancer

A. Univariate analysis of validation set II    
  Concordance index P value (Likelihood ratio test) P value (Logrank test)
Hemoglobin 0.65 7×10−05 6×10−05
LDH 0.68 0.0004 7×10−06
Wang_4genescore 0.60 0.002 0.0007
ThirdLineTreatment 0.56 0.006 0.002
AP 0.63 0.008 0.001
VisceralMetastasis 0.58 0.043 0.038
LeucocyteNr 0.60 0.048 0.045
NLR 0.56 0.15 0.095
Lymphocytes_percent 0.58 0.3 0.3
SecondLineTreatment 0.55 0.3 0.3
FirstLineTreatment 0.51 0.4 0.4
BoneMetastasis 0.51 0.4 0.4
Gleason 0.53 0.6 0.6
Neutrophile_percent 0.47 >0.9 >0.9
PSA 0.57 >0.9 >0.9
B. Multivariate analysis of validation set II  
  P value (Wald’s test)   
Hemoglobin 0.2   
LDH 0.3   
Wang_4genescore 0.03   
ThirdLineTreatment 0.002   
AP 0.9   
visceralMets 0.05   
LeucocyteNr 0.07