Machine learning-assisted quantitative metabolomics of West African patients with advanced breast cancer

Machine learning-assisted quantitative metabolomics of West African patients with advanced breast cancer

Abstract In this study, we conducted a targeted quantitative metabolomic analysis of 630 metabolites in the plasma of 78 West African patients at the time of breast cancer diagnosis and prior to any treatment. Most of these patients were at an advanced stage of the disease. The data were compared wi...

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Main Authors: Aboubacar Dit Tietie Bissan, Mathieu Michel, Xavier Dieu, Cinzia Bocca, Awo Emmanuela Hilda Amegonou, Fatoumata Matokoma Sidibe, Madani Ly, Bocary Sidi Koné, Nènè Oumou Kesso Barry, Kletigui Casimir Dembélé, Bakary Cissé, Bourèma Kouriba, Gilles Simard, Delphine Mirebeau-Prunier, Juan Manuel Chao de la Barca, Zahra Ouzzif, Pascal Reynier
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Breast cancer
Machine learning
Metabolomics
Neurotransmitters
Lipidomics
Online Access:https://doi.org/10.1038/s41598-025-13475-5
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https://doi.org/10.1038/s41598-025-13475-5

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