Clinical Categorization Algorithm (CLICAL) and Machine Learning Approach (SRF-CLICAL) to Predict Clinical Benefit to Immunotherapy in Metastatic Melanoma Patients: Real-World Evidence from the Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy

The real-life application of immune checkpoint inhibitors (ICIs) may yield different outcomes compared to the benefit presented in clinical trials. For this reason, there is a need to define the group of patients that may benefit from treatment. We retrospectively investigated 578 metastatic melanom...

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Main Authors: Gabriele Madonna, Giuseppe V. Masucci, Mariaelena Capone, Domenico Mallardo, Antonio Maria Grimaldi, Ester Simeone, Vito Vanella, Lucia Festino, Marco Palla, Luigi Scarpato, Marilena Tuffanelli, Grazia D'angelo, Lisa Villabona, Isabelle Krakowski, Hanna Eriksson, Felipe Simao, Rolf Lewensohn, Paolo Antonio Ascierto
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Cancers
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Online Access:https://www.mdpi.com/2072-6694/13/16/4164