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Table 2 Cox regression analysis of progression free survival

From: Gene expressions and copy numbers associated with metastatic phenotypes of uterine cervical cancer

 

Univariate analysis

Multivariate analysis

Covariate1

p

Relative risk

95% CI

p

Relative risk

95% CI

Model containing clinical variables alone

      

   Tumor volume

< 0.0001

1.01

1.01 – 1.02

< 0.0001

1.01

1.01 – 1.02

   Number of pathological lymph nodes

0.015

1.3

1.1 – 1.7

0.24

  

   Metastatic status

0.30

1.7

0.64 – 4.3

0.47

  

Model containing gene variables alone

      

   Gene expressions

      

   MRPL11

0.0001

5.6

2.3 – 14

0.001

4.9

1.9 – 13

   PDK2

0.013

3.2

1.3 – 7.9

0.008

3.8

1.4 – 10

   CKS2

0.026

2.7

1.1 – 6.6

0.30

  

   TBX3

0.028

0.37

0.15 – 0.90

0.006

0.24

0.09 – 0.67

   MRPS23

0.032

2.7

1.1 – 6.9

0.87

  

   MSN

0.035

0.31

0.10 – 0.92

0.40

  

   KLF3

0.035

0.37

0.15 – 0.93

0.47

  

   LSM32

0.058

2.7

0.97 – 7.4

0.30

  

Model containing clinical and gene variables

      

   Tumor volume

   

< 0.0001

1.01

1.01 – 1.02

   PDK2

   

0.013

3.3

1.3 – 8.3

   MRPL11

   

0.26

  

   TBX3

   

0.12

  
  1. 1Categorized variables were used for the gene variables and metastatic status, whereas the linear form were used for tumor volume and number of pathological lymph nodes.
  2. 2LSM3 expression did not reach a p-value below 0.05 when categorized data were used, but is included among the prognostic genes since analysis based on log2ratios showed a p-value of 0.044.