Metabolomic prediction of breast cancer treatment induced neurological and metabolic toxicities - Archive ouverte HAL
Article Dans Une Revue Clinical Cancer Research Année : 2024

Metabolomic prediction of breast cancer treatment induced neurological and metabolic toxicities

Max Piffoux
Jérémie Jacquemin
Mélanie Pétéra
Angélique Abila
Charlotte Joly
Bernard Lyan
Anne-Laure Martin
Sibille Everhard
Sandrine Boyault
Barbara Pistilli
Marion Fournier
Julie Havas
Carole Tarpin
Christine Lasset
Paul Cottu
Fabrice Andre
Ines Vaz-Luis
Youenn Drouet
Olivier Trédan

Résumé

Abstract Background: Long-term treatment-related toxicities, such as neurological and metabolic toxicities, are major issues in breast cancer. We investigated the interest of metabolomic profiling to predict toxicities. Methods: Untargeted high-resolution metabolomic profiles of 992 patients with ER+/HER2- breast cancer from the prospective CANTO cohort were acquired (n=1935 metabolites). A residual-based modeling strategy with a discovery and validation cohort was used to benchmark machine learning algorithms, taking into account confounding variables. Results: Adaptive LASSO has a good predictive performance, has limited optimism bias, and allows the selection of metabolites of interest for future translational research. The addition of low-frequency metabolites and non-annotated metabolites increases the predictive power. Metabolomics adds extra performance to clinical variables to predict various neurological and metabolic toxicity profiles. Conclusions: Untargeted high-resolution metabolomics allows better toxicity prediction by considering environmental exposure, metabolites linked to microbiota, and low-frequency metabolites.

Domaines

Cancer
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Dates et versions

hal-04671046 , version 1 (13-08-2024)

Identifiants

Citer

Max Piffoux, Jérémie Jacquemin, Mélanie Pétéra, Stephanie Durand, Angélique Abila, et al.. Metabolomic prediction of breast cancer treatment induced neurological and metabolic toxicities. Clinical Cancer Research, 2024, 30 (20), pp.4654-4666. ⟨10.1158/1078-0432.CCR-24-0195⟩. ⟨hal-04671046⟩
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