Skip to main content
. 2020 Jan 1;11(5):997–1007. doi: 10.7150/jca.38274

Table 3.

Univariable and multivariable Cox regression analysis in renal cell cancer from TCGA database.

Variables Univariate Analysis Multivariate Analysis
HR(95%CI) p HR(95%CI) p
Training set(N=428)
Age 1.02(1.00-1.04) 0.025 1.01(0.99-1.03) 0.132
17 gene risk score 2.68(2.22-3.25) <0.001 2.43(1.98-2.96) <0.001
Gender 0.857
female 1 0.223 1
male 1.34(0.84-2.14) 1.05(0.65-1.69)
Stage <0.001 <0.001
I 1 1
II 2.78(1.45-5.31) 2.45(1.25-4.82)
III 5.53(3.45-8.86) 3.45(2.11-5.65)
Histological type 0.184
ccRCC 1 1 0.019
pRCC 1.34(0.87-2.07) 1.75(1.09-2.80)
Internal validation set(N=182)
Age 0.99(0.97-1.03) 0.853 1.01(0.98-1.03) 0.648
17 gene risk score 1.82(1.34-2.47) <0.001 1.66(1.19-2.30) 0.002
Gender 0.538 0.804
female 1 1
male 0.78(0.37-1.68) 0.91(0.42-1.96)
Stage 0.002 0.031
I 1 1
II 0.63(0.14-2.83) 0.90(0.19-4.09)
III 3.30(1.57-6.94) 2.73(1.25-5.97)
Histological type 0.890 0.929
ccRCC 1 1
pRCC 1.05(0.49-2.25) 1.04(0.47-2.30)

TCGA: The Cancer Genome Atlas (TCGA) project; ccRCC: clear cell renal cell cancer; pRCC: papillary renal cell cancer.