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Authors
Shinkai, Norio
Asada, Ken
Machino, Hidenori
Takasawa, Ken
Takahashi, Satoshi
Kouno, Nobuji
Komatsu, Masaaki
Hamamoto, Ryuji
Kaneko, Syuzo
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Funding
Funding for this research was provided by:
The Cabinet Office BRIDGE
The AMED Innovative Cancer Medical Practice Research Project (JP22ck0106643)
JST CREST (JPMJCR1689)
JSPS Grant-in-Aid for Scientific Research on Innovative Areas (JP18H04908)
JST AIP-PRISM (JPMJCR18Y4)
MEXT subsidy for Advanced Integrated Intelligence Platform
JSPS Grant-in-Aid for Scientific Research (JP21H03550, JP24K03039)
The Takeda Science Foundation
The Research Grant of the Princess Takamatsu Cancer Research Fund (19-25108)
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Article History
Received: 15 January 2025
Accepted: 11 May 2025
First Online: 19 May 2025
Competing interests
: The authors declare no competing interests.
: All methods were performed following the Ethical Guidelines for Medical and Health Research Involving Human Subjects. The study was approved by the institutional review board of the National Cancer Center Japan (2005-109, 2016-496, 2019-018). In addition, this study was conducted under the Declaration of Helsinki. All patients provided written informed consent. During the implementation, refinement, and visualization stages of the analysis pipeline, large language models such as ChatGPT () and Claude () were utilized to support Python coding and figure generation. All authors have read and approved the final version of the manuscript.
