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

Table 4.

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

Variables Univariate Analysis Multivariate Analysis
HR(95%CI) p HR(95%CI) p
Training set(N=180)
Age 0.530 0.620
<60 1 1
≥60 1.28(0.59-2.77) 1.23(0.54-2.81)
17 gene risk score 1.27(1.11-1.43) <0.001 1.28(1.13-1.43) <0.001
Gender 0.738 0.627
female 1 1
male 1.12(0.48-2.75) 0.81(0.33-1.96)
Stage <0.001 <0.001
I 1 1
II 2.79(0.91-8.61) 2.38(0.72-7.87)
III 7.77(3.31-18.2) 9.31(3.36-25.78)
Grade 0.180 0.159
I-II 1 1
III-IV 1.72(0.78-3.79) 0.51(0.19-1.31)
Histological type 0.180
cRCC 1 1 0.355
pRCC 1.34(0.87-2.07) 1.52(0.62-3.65)
Internal validation set(N=90)
Age 0.06 0.199
<60 1 1
≥60 3.58(0.95-13.54) 4.25(0.47-38.7)
17 gene risk score 1.37(1.11-1.69) <0.001 1.65(1.11-2.48) 0.014
Gender 0.190 0.670
female 1 1
male 3.97(0.51-31.28) 0.54(0.03-8.97)
Stage <0.001 0.005
I 1 1
II 16.55(1.49-182.7) 48.9(2.63-909.0)
III 55.86(6.95-448.9) 48.9(4.38-546.0)
Grade 1.21 0.441
I-II 1 1
III-IV 2.65(0.77-9.11) 0.491(0.08-2.99)
Histological type 0.890
cRCC 1 1 0.209
pRCC 1.05(0.49-2.25) 3.86(0.47-31.72)

FUSCC: Fudan University Shanghai Cancer Center; ccRCC: clear cell renal cell cancer; pRCC: papillary renal cell cancer.