Figure 4.
The 4-gene model predicts survival in multivariate analysis. (A) Forest plot showing results of multivariate Cox regression model assessing potential clinical and biological risk factors for PFS. The analysis was performed in 65 patients. Compared with supplemental Figure 10A, the numerosity was lowered due to missing values in the “4-genes model” variable shown in panel B. (B) Forest plot showing results of multivariate Cox regression model assessing potential clinical and biological risk factors for PFS, with the addition of the 4-gene model. The analysis was performed in 65 patients. The nested Cox models were compared using the likelihood ratio test. P value of the addition of the variable “4 gene model” = .0068.

The 4-gene model predicts survival in multivariate analysis. (A) Forest plot showing results of multivariate Cox regression model assessing potential clinical and biological risk factors for PFS. The analysis was performed in 65 patients. Compared with supplemental Figure 10A, the numerosity was lowered due to missing values in the “4-genes model” variable shown in panel B. (B) Forest plot showing results of multivariate Cox regression model assessing potential clinical and biological risk factors for PFS, with the addition of the 4-gene model. The analysis was performed in 65 patients. The nested Cox models were compared using the likelihood ratio test. P value of the addition of the variable “4 gene model” = .0068.

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