Machine learning for prediction of immunotherapeutic outcome in non-small-cell lung cancer based on circulating cytokine signatures

Machine learning for prediction of immunotherapeutic outcome in non-small-cell lung cancer based on circulating cytokine signatures

Background Immune checkpoint inhibitor (ICI) therapy has substantially improved the overall survival (OS) in patients with non-small-cell lung cancer (NSCLC); however, its response rate is still modest. In this study, we developed a machine learning-based platform, namely the Cytokine-based ICI Resp...

Full description

Bibliographic Details
Main Authors: Tetsuro Sasada, Koichi Azuma, Haruhiro Saito, Norikazu Matsuo, Takaaki Tokito, Yohei Miyagi, Terufumi Kato, Tomoyuki Tagami, Kenta Murotani, Feifei Wei, Yoshiro Nakahara, Taku Kouro, Yuka Igarashi, Tetsuro Kondo, Shuji Murakami, Ryo Usui, Hidetomo Himuro, Shun Horaguchi, Kayoko Tsuji, Tatsuma Ban, Tomohiko Tamura
Format: Article
Language:English
Published: BMJ Publishing Group 2023-07-01
Series:Journal for ImmunoTherapy of Cancer
Online Access:https://jitc.bmj.com/content/11/7/e006788.full

Internet

https://jitc.bmj.com/content/11/7/e006788.full

Similar Items