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

https://www.ncbi.nlm.nih.gov/pubmed/38880067

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.