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Figure 3 | BMC Medical Genomics

Figure 3

From: Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures

Figure 3

Survival prediction analyses of the different Cox models. (A) Models for all patients; (B) Models for ER-positive patients; (C) Model for ER-negative patients; (D) Models for HER2-positive patients. 1) Hazard ratio and p-value of the Cox proportional hazard model (Cox-model), for both the training and testing sets, respectively; 2) Kaplan-Meier survival estimates of relapse-free survival (RFS) among training and testing sets, respectively, according to each model. Patients were stratified into high-risk (red curve) and low-risk (blue curves) groups based on their respective risk score, which was defined as the natural logarithm of the hazard ratio. The chosen cut-off value for stratification into high and low-risk groups was zero. P-values were obtained from the log-rank test. + denotes observations that were censored owing to loss to follow-up or last contact.

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