Koji Nagaoka
Associate Professor
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About
Koji Nagaoka is an Associate Professor at Kindai University, Japan. His research areas include machine learning applications in oncology, immuno-oncology, and response prediction for cancer therapies. He has co-authored several significant articles focusing on gastric and esophageal cancers, including studies on chemotherapy responsiveness, immune checkpoint inhibitors, and intratumoral immune responses.
Articles (10)
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2023
We investigated the tumor immune response in gastric cancer patients receiving third-line nivolumab monotherapy to identify immune-related biomarkers for better patient selection. Nineteen patients (10 males, median age 67 years) who received nivolumab as a third- or later-line therapy were enrolled. We analyzed the tumor immune response in durable clinical benefit (DCB) and non-DCB patients. Pre-treatment and early-on-treatment tumor transcriptomes were examined, and gene expression profiles, immunograms, and T cell receptor (TCR) repertoire were analyzed. DCB was observed in 15.8% of patients, with comparable secondary endpoints (ORR; objective response rate, OS; overall survival, PFS; progression-free survival) to previous trials. The immunograms of individual subjects displayed no significant changes before or early in the treatment, except for the regulatory T cell (Treg) score. Moreover, there were no consistent alterations observed among cases experiencing DCB. The intratumoral immune response was suppressed by previous treatments in most third- or later-line nivolumab recipients. TCR repertoire analysis revealed newly emerged clonotypes in early-on-treatment tumors, but clonal replacement did not impact efficacy. High T cell/Treg ratios and a low UV-radiation-response gene signature were linked to DCB and treatment response. This study emphasizes the tumor immune response’s importance in nivolumab efficacy for gastric cancer. High T cell/Treg ratios and specific gene expression signatures show promise as potential biomarkers for treatment response. The tumor-infiltrating immune response was compromised by prior treatments in third-line therapy, implying that, to enhance immunotherapeutic outcomes, commencing treatment at an earlier stage might be preferable. Larger cohort validation is crucial to optimize immune-checkpoint inhibitors in gastric cancer treatment.
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Collaborators (6)
Yasuyuki Seto
University of Tokyo
Yasuyoshi Sato
University of Tokyo
Yukari Kobayashi
Project Assistant Professor
University of Tokyo Hospital
Kazunori Kataoka
Professor Emeritus
University of Tokyo
Sachiyo Nomura
Lecturer Associate Professor
University of Tokyo
Kazuhiro Kakimi
Professor
Kindai University
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