Article

Epigenetic profile drives accurate survival prediction in breast cancer via a multi-omics machine learning model

2025-08-02

Abstract excerpt

Accurate overall survival (OS) prediction is key for personalized treatment in breast cancer, but mutation burden alone is insufficient. To improve prognostic accuracy, we integrated genomic, transcriptomic, proteomic, epigenetic, and clinical features from 802 breast cancer patients to develop BANDOL (Breast cancer Analysis with Neoplastic Data and Omics Learning), a Random Survival Forest model. BANDOL correctly...

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Literature Corpus work: d31f5295-b759-5cac-b290-186e231c5c19
DOI: 10.1101/2025.07.31.667894

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