Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab

Spontaneously immunogenic hepatocellular carcinoma (HCC), identified by a dense immune cell infiltrate (ICI), responds better to immunotherapy, although no validated biomarker exists to identify these cases. We used machine learning (ML) to quantify ICI from standard H&E-stained tissue and evalu...

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Opis bibliograficzny

Główni autorzy:	Bertram Bengsch, Michael Trauner, Adel Samson, Matthias Pinter, Bernhard Scheiner, Markus Peck-Radosavljevic, David J Pinato, Lorenza Rimassa, Hong Jae Chon, Francesco A Mauri, Teresa Marafioti, Ciro Celsa, Giuseppe Cabibbo, Francesco Vasuri, Gwangil Kim, Carolin Lackner, Robert D Goldin, Mathias Heikenwalder, Fabian Finkelmeier, Fabio Piscaglia, Jaekyung Cheon, Antonio D’Alessio, Claudia A M Fulgenzi, Mohammad Rahbari, Pasquale Lombardi, Rudolf Stauber, Aria Torkpour, Lorenz Balcar, Luca Di Tommaso, Masoud Tafavvoghi, Oleksandr Petrenko, Katharina Pomej, Vera Himmelsbach, Maryam Barsch, Anja Krall, Florian Hucke, Monica Bernasconi, Bernardo Stefanini, Behrang Mozayani, Lill-Tove Rasmussen Busund, Mehrdad Rakaee
Format:	Artigo
Język:	Inglês
Wydane:	BMJ Publishing Group 2025-10-01
Seria:	Journal for ImmunoTherapy of Cancer
Dostęp online:	https://jitc.bmj.com/content/13/10/e010975.full
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