Clinical application of mathematical calculators to predict recurrence and survival in luminal breast cancer: a retrospective analysis from two independent datasets of EUSOMA certified centers

Abstract

Background: In adjuvant setting of Luminal Breast cancer (BC), treatment strategy must consider: the role of chemotherapy before hormonal therapy, potential benefit from extending endocrine therapy beyond 5 years, toxicity to expect, and life expectancy. Prediction algorithms, based on mathematical models estimating survival rates for BC based upon risk factors and treatment could give a help to clinicians during the multidisciplinary meeting. The aim of the study was to evaluate accuracy and clinical utility of three different scores: Clinical Treatment Score Post-5 Years (CTS5), PREDICT Score and Nottingham Prognostic Index (NPI).