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. 2019 May 10;34(19):e144. doi: 10.3346/jkms.2019.34.e144

Table 4. Multivariate Cox regression analysis for the prediction of metastasis in surgically treated clear cell renal cell carcinoma.

Variables Univariate analysis Multivariate analysis
HR (95% CI) P value HR (95% CI) P value
Age, yr 1.016 (0.981–1.052) 0.373
Gender, women 0.779 (0.304–1.998) 0.603
HTN, yes 0.780 (0.317–1.919) 0.588
DM, yes 0.928 (0.314–2.744) 0.893
BMI, ≥ 23 kg/m2 0.371 (0.160–0.859) 0.021 0.270 (0.092–0.791) 0.017
Smoking history, yes 0.760 (0.273–2.114) 0.598
TNM stage
pT1 1 1
pT2 5.651 (1.711–18.662) 0.004 7.111 (1.776–28.464) 0.006
pT3-4 10.331 (3.811–28.011) < 0.001 6.567 (2.133–20.215) 0.001
Fuhrman grade, G3–4 5.385 (2.192–13.229) < 0.001 2.442 (0.841–7.091) 0.101
M score, ≥ 153.28a 7.166 (2.915–17.612) < 0.001 3.804 (1.477–9.800) 0.006

HR = hazard ratio, CI = confidence interval, HTN = hypertension, DM = diabetes mellitus, BMI = body mass index, TNM = tumor node metastasis.

aM score was calculated with the sum of the levels of methylation levels of three candidate genes multiplied by the corresponding regression coefficient derived from the Cox regression analysis.