Research Article
A Five-Gene Signature Predicts Prognosis in Patients with Kidney Renal Clear Cell Carcinoma
Table 4
Univariable and multivariable Cox regression analyses in training and testing set.
| Variables | Univariable model | Multivariable model | HR | 95% CI of HR | value | HR | 95% CI of HR | value |
| Training set ( = 262) | | | | | | | Five-gene model | 2.717 | 2.180–3.387 | <0.001 | 2.752 | 2.193–3.454 | <0.001 | Age | 1.031 | 1.014–1.050 | 0.001 | 1.032 | 1.009–1.048 | 0.003 | Testing set ( = 261) | | | | | | | Five-gene model | 1.936 | 1.620–2.315 | <0.001 | 1.875 | 1.560–2.253 | <0.001 | Age | 1.022 | 1.004–1.041 | 0.019 | 1.011 | 0.993–1.031 | 0.234 |
| Training set ( = 262) | | | | | | | Five-gene model | 2.717 | 2.180–3.387 | <0.001 | 2.193 | 1.726–2.786 | <0.001 | Stage | 2.097 | 1.734–2.537 | <0.001 | 1.717 | 1.394–2.111 | <0.001 | Testing set ( = 261) | | | | | | | Five-gene model | 1.936 | 1.620–2.315 | <0.001 | 1.700 | 1.390–2.078 | <0.001 | Stage | 1.905 | 1.564–2.322 | <0.001 | 1.679 | 1.367–2.062 | <0.001 |
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