Article
Personalized recurrence risk prediction in early-stage breast cancer through an integrative mathematical model based on MammaPrint®, radiotherapy, phenotype, and clinicopathological factors.
Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico - 1 Mar 2026
Mazón J Sánchez, de Juan Ferré A, Vega J M López, López C López
Abstract excerpt
PURPOSE: To build a mathematical model with predictive capacity for the risk of recurrence in patients with early-stage breast cancer, based on four variables: the result of the MammaPrint®(MMP) test, postoperative radiotherapy (RT), tumor phenotype, and clinicopathological criteria. To estimate overall survival functions stratified by the dose of radiotherapy received. METHODS: A retrospective cohort of 156...
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