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

BACKGROUND: 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. MET...

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Detalles Bibliográficos
Autores principales: Chatziioannou, Eftychia, Roßner, Jana, Aung, Thazin New, Rimm, David L., Niessner, Heike, Keim, Ulrike, Serna-Higuita, Lina Maria, Bonzheim, Irina, Kuhn Cuellar, Luis, Westphal, Dana, Steininger, Julian, Meier, Friedegund, Pop, Oltin Tiberiu, Forchhammer, Stephan, Flatz, Lukas, Eigentler, Thomas, Garbe, Claus, Röcken, Martin, Amaral, Teresa, Sinnberg, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363450/
https://www.ncbi.nlm.nih.gov/pubmed/37295047
http://dx.doi.org/10.1016/j.ebiom.2023.104644

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363450/
https://www.ncbi.nlm.nih.gov/pubmed/37295047
http://dx.doi.org/10.1016/j.ebiom.2023.104644

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