Article Dans Une Revue Computer Methods and Programs in Biomedicine Année : 2023

Mechanistic modeling of metastatic relapse in early breast cancer to investigate the biological impact of prognostic biomarkers

Résumé

Estimating the risk of metastatic relapse is a major challenge to decide adjuvant treatment options in early-stage breast cancer (eBC). To date, distant metastasis-free survival (DMFS) analysis mainly relies on classical, agnostic, statistical models (e.g., Cox regression). Instead, we propose here to derive mechanistic models of DMFS.

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hal-04008520 , version 1 (09-01-2024)

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Célestin Bigarré, François Bertucci, Pascal Finetti, Gaëtan Macgrogan, Xavier Muracciole, et al.. Mechanistic modeling of metastatic relapse in early breast cancer to investigate the biological impact of prognostic biomarkers. Computer Methods and Programs in Biomedicine, 2023, 231, pp.107401. ⟨10.1016/j.cmpb.2023.107401⟩. ⟨hal-04008520⟩
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