Artificial intelligence-based pathology as a biomarker of sensitivity to atezolizumab-bevacizumab in patients with hepatocellular carcinoma: a multicentre retrospective study.
Fiche publication
Date publication
novembre 2023
Journal
The Lancet. Oncology
Auteurs
Membres identifiés du Cancéropôle Est :
Dr BOULAGNON-ROMBI Camille
Tous les auteurs :
Zeng Q, Klein C, Caruso S, Maille P, Allende DS, Mínguez B, Iavarone M, Ningarhari M, Casadei-Gardini A, Pedica F, Rimini M, Perbellini R, Boulagnon-Rombi C, Heurgué A, Maggioni M, Rela M, Vij M, Baulande S, Legoix P, Lameiras S, , Bruges L, Gnemmi V, Nault JC, Campani C, Rhee H, Park YN, Iñarrairaegui M, Garcia-Porrero G, Argemi J, Sangro B, D'Alessio A, Scheiner B, Pinato DJ, Pinter M, Paradis V, Beaufrère A, Peter S, Rimassa L, Di Tommaso L, Vogel A, Michalak S, Boursier J, Loménie N, Ziol M, Calderaro J
Lien Pubmed
Résumé
Clinical benefits of atezolizumab plus bevacizumab (atezolizumab-bevacizumab) are observed only in a subset of patients with hepatocellular carcinoma and the development of biomarkers is needed to improve therapeutic strategies. The atezolizumab-bevacizumab response signature (ABRS), assessed by molecular biology profiling techniques, has been shown to be associated with progression-free survival after treatment initiation. The primary objective of our study was to develop an artificial intelligence (AI) model able to estimate ABRS expression directly from histological slides, and to evaluate if model predictions were associated with progression-free survival.
Référence
Lancet Oncol. 2023 11 8;: