Machine learning evaluation of immune infiltrate through digital tumour score allows prediction of survival outcome in a pooled analysis of three international stage III colon cancer cohorts.
Fiche publication
Date publication
juin 2024
Journal
EBioMedicine
Auteurs
Membres identifiés du Cancéropôle Est :
Pr GHIRINGHELLI François, Pr LEPAGE Côme, Mme TRUNTZER Caroline, Dr DERANGERE Valentin, Pr BIBEAU Frédéric
Tous les auteurs :
Lecuelle J, Truntzer C, Basile D, Laghi L, Greco L, Ilie A, Rageot D, Emile JF, Bibeau F, Taïeb J, Derangere V, Lepage C, Ghiringhelli F
Lien Pubmed
Résumé
T-cell immune infiltrates are robust prognostic variables in localised colon cancer. Evaluation of prognosis using artificial intelligence is an emerging field. We evaluated whether machine learning analysis improved prediction of patient outcome in comparison with analysis of T cell infiltrate only or in association with clinical variables.
Mots clés
Biomarkers, Colonic neoplasms, Machine learning, Prognosis, Tumour infiltrating lymphocytes
Référence
EBioMedicine. 2024 06 15;105:105207