The prognostic score model consisting of histologic grade, ER, PR, HER2, and TNM status demonstrated a similar predictive power when compared to the revised 8th AJCC Clinical Prognostic Staging system in both training and validation datasets, whereas the addition of age and race did not facilitate stratification of prognostic groups. The authors institutional cohort ( n = 4982) was used as the validation dataset.
A prognostic score was calculated by summing the point values based on the magnitude of the hazard ratio for all independent factors. Multivariate analyses were performed to identify independent factors for disease-specific survival (DSS). A total of 36,152 breast cancer patients diagnosed between 20 in the Surveillance, Epidemiology, and End Results (SEER) database were used as the training dataset. In this study, we established a simplified prognostic score to predict survival outcomes in all breast cancer patients. Most models were developed to assess prognostic outcomes for early breast cancers. There have been many breast cancer prognostic models proposed in the last few decades, varying in their methods of development and validation, predictors, outcomes, and patients included.
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