Petros Christopoulos, Michal Harel, Kimberly McGregor, Yehuda Brody, Igor Puzanov, Jair Bar, Yehonatan Elon, Itamar Sela, Ben Yellin, Coren Lahav, Shani Raveh, Anat Reiner-Benaim, Niels Reinmuth, Hovav Nechushtan, David Farrugia, Ernesto Bustinza-Linares, Yanyan Lou, Raya Leibowitz, Iris Kamer, Alona Zer Kuch, Mor Moskovitz, Adva Levy-Barda, Ina Koch, Michal Lotem, Rivka Katzenelson, Abed Agbarya, Gillian Price, Helen Cheley, Mahmoud Abu-Amna, Tom Geldart, Maya Gottfried, Ella Tepper, Andreas Polychronis, Ido Wolf, Adam P Dicker, David P Carbone, David R Gandara
PURPOSE: Current guidelines for the management of metastatic non-small cell lung cancer (NSCLC) without driver mutations recommend checkpoint immunotherapy with PD-1/PD-L1 inhibitors, either alone or in combination with chemotherapy. This approach fails to account for individual patient variability and host immune factors and often results in less-than-ideal outcomes. To address the limitations of the current guidelines, we developed and subsequently blindly validated a machine learning algorithm using pretreatment plasma proteomic profiles for personalized treatment decisions...
March 2024: JCO Precision Oncology