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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

 Â