Machine learning–based insights into circulating autoantibody dynamics and treatment outcomes in patients with NSCLC receiving immune checkpoint inhibitors
These findings suggest the involvement of distinct immune pathways in therapeutic benefits and toxicity. Collectively, our results provide mechanistic insights into ICI-induced humoral immune regulation, highlight the potential utility of CAABs as biomarkers to enhance benefit-to-risk assessment, and guide the development of personalized immunotherapy strategies for NSCLC.
Authors
- Tetsuro Sasada (ORCID: https://orcid.org/0000-0002-2313-8833)
- Hidetomo Himuro (ORCID: https://orcid.org/0000-0002-5731-1227)
- Feifei Wei (ORCID: https://orcid.org/0000-0002-5770-3255)
- Shuji Murakami (ORCID: https://orcid.org/0000-0001-5104-5493)
- Tatsuya Sawasaki (ORCID: https://orcid.org/0000-0002-7952-0556)
- Kenta Murotani (ORCID: https://orcid.org/0000-0003-0623-9365)
- Haruhiro Saito (ORCID: https://orcid.org/0000-0002-8541-8339)
- Yuka Igarashi (ORCID: https://orcid.org/0000-0002-7270-2285)
- Tetsuro Kondo (ORCID: https://orcid.org/0000-0003-4388-4814)
- Yoshiro Nakahara (ORCID: https://orcid.org/0000-0001-5579-4491)
- Taku Kouro (ORCID: https://orcid.org/0000-0003-1526-575X)
- Hiroyuki Takeda (ORCID: https://orcid.org/0000-0003-1677-8127)
- Mitsuru Komahashi
- Kayoko Tsuji (ORCID: https://orcid.org/0000-0003-1697-7193)
- Koichi Azuma
Institutions
- Nihon University (JP)
- Kurume University (JP)
- Kanagawa Prefectural Hospital Organization (JP)
- Ehime University (JP)
- Kitasato University (JP)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-10-03
- DOI
- https://doi.org/10.3389/fimmu.2025.1666030
- Citations
- 2
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 2.09
Funders
- Cell Science Research Foundation
- Japan Agency for Medical Research and Development
- Ministry of Education, Culture, Sports, Science and Technology
- Japan Society for the Promotion of Science