Deep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases.

Fiche publication

Date publication

juillet 2023

Journal

EBioMedicine

Auteurs

Membres identifiés du Cancéropôle Est :
Dr AMARAL Teresa Maria

Tous les auteurs :
Chatziioannou E, Roßner J, Aung TN, Rimm DL, Niessner H, Keim U, Serna-Higuita LM, Bonzheim I, Kuhn Cuellar L, Westphal D, Steininger J, Meier F, Pop OT, Forchhammer S, Flatz L, Eigentler T, Garbe C, Röcken M, Amaral T, Sinnberg T

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/37295047

Résumé

Recent advances in digital pathology have enabled accurate and standardised enumeration of tumour-infiltrating lymphocytes (TILs). Here, we aim to evaluate TILs as a percentage electronic TIL score (eTILs) and investigate its prognostic and predictive relevance in cutaneous melanoma.