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 Res...

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Detalles Bibliográficos
Autores principales: Wei, Feifei, Azuma, Koichi, Nakahara, Yoshiro, Saito, Haruhiro, Matsuo, Norikazu, Tagami, Tomoyuki, Kouro, Taku, Igarashi, Yuka, Tokito, Takaaki, Kato, Terufumi, Kondo, Tetsuro, Murakami, Shuji, Usui, Ryo, Himuro, Hidetomo, Horaguchi, Shun, Tsuji, Kayoko, Murotani, Kenta, Ban, Tatsuma, Tamura, Tomohiko, Miyagi, Yohei, Sasada, Tetsuro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Immunotherapy Biomarkers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347453/
https://www.ncbi.nlm.nih.gov/pubmed/37433717
http://dx.doi.org/10.1136/jitc-2023-006788

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347453/
https://www.ncbi.nlm.nih.gov/pubmed/37433717
http://dx.doi.org/10.1136/jitc-2023-006788

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