Skip to main content

Table 3 Univariate Cox regression modeling for the overall survival using each of the clinical parameters (A) and multivariate Cox regression modeling by combining four variables (P <0.05 in univariate analysis) (B) in validation set I. All the variables (except the metastasis site) 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 I

   
 

Concordance index

P value (Likelihood ratio test)

P value (Logrank test)

Wang_4genescore

0.81

0.0006

7×10−05

Hemoglobin

0.75

0.001

0.001

VisceralMetastasis

0.58

0.006

1×10−05

LDH

0.72

0.043

0.016

BoneMetastasis

0.56

0.051

0.15

EosinophilCount

0.69

0.052

0.068

PSA

0.62

0.12

0.066

AP

0.61

0.18

0.13

NLRatio

0.57

0.18

0.14

MonocyteCount

0.46

0.19

0.11

PlateletCount

0.62

0.3

0.3

NeutrophilCount

0.50

0.4

0.4

Gleason

0.52

0.7

0.7

LymphocyteCount

0.59

0.7

0.7

BasophilCount

0.48

>0.9

>0.9

B. Multivariate analysis of validation set I

 
 

P value (Wald’s test)

  

Wang_4genescore

0.045

  

Hemoglobin

0.18

  

visceralMets

0.13

  

LDH

0.4

 Â