{"title":"Mathematical modeling predicts optimal immune checkpoint inhibitor and radiotherapy combinations and timing of administration.","authors":"Shunsuke A Sakai, Koichi Saeki, SungGi Chi, Yamato Hamaya, Junyan Du, Masaki Nakamura, Hidehiro Hojo, Takashi Kojima, Yoshiaki Nakamura, Hideaki Bando, Motohiro Kojima, Ayako Suzuki, Yutaka Suzuki, Tetsuo Akimoto, Katsuya Tsuchihara, Hiroshi Haeno, Riu Yamashita, Shun-Ichiro Kageyama","doi":"10.1158/2326-6066.CIR-24-0610","DOIUrl":null,"url":null,"abstract":"<p><p>Radiotherapy (RT) combined with immune checkpoint inhibitor (ICI) therapy has attracted substantial attention due to its potential to improve outcomes for patients with several types of cancer. However, the optimal administration timepoints and drug combinations remain unclear because the mechanisms underlying RT-induced changes in immune checkpoint molecule expression and interaction with their ligand(s) remain unclear. Herein, we demonstrated the dynamics of lymphocyte-mediated molecular interactions in tissue samples from esophageal cancer patients throughout RT schedules. Single-cell RNA-sequencing and spatial transcriptomic analyses were performed to investigate the dynamics of these interactions. The biological signal in lymphocytes transitioned from innate to adaptive immune reaction, with increases in ligand-receptor interactions, such as PD-1-PD-L1, CTLA4-CD80/86, and TIGIT-PVR interactions. A mathematical model was constructed to predict the efficacy of five types of ICI when administered at four different timepoints. The model suggested that concurrent anti-PD-1/PD-L1 therapy or concurrent/adjuvant anti-CTLA-4/TIGIT therapy would exert a maximal effect with RT. This study provides rationale for clinical trials of RT combined with defined ICI therapy, and these findings will support future studies to search for more effective targets and timing of therapy administration.</p>","PeriodicalId":9474,"journal":{"name":"Cancer immunology research","volume":" ","pages":""},"PeriodicalIF":8.1000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer immunology research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/2326-6066.CIR-24-0610","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Radiotherapy (RT) combined with immune checkpoint inhibitor (ICI) therapy has attracted substantial attention due to its potential to improve outcomes for patients with several types of cancer. However, the optimal administration timepoints and drug combinations remain unclear because the mechanisms underlying RT-induced changes in immune checkpoint molecule expression and interaction with their ligand(s) remain unclear. Herein, we demonstrated the dynamics of lymphocyte-mediated molecular interactions in tissue samples from esophageal cancer patients throughout RT schedules. Single-cell RNA-sequencing and spatial transcriptomic analyses were performed to investigate the dynamics of these interactions. The biological signal in lymphocytes transitioned from innate to adaptive immune reaction, with increases in ligand-receptor interactions, such as PD-1-PD-L1, CTLA4-CD80/86, and TIGIT-PVR interactions. A mathematical model was constructed to predict the efficacy of five types of ICI when administered at four different timepoints. The model suggested that concurrent anti-PD-1/PD-L1 therapy or concurrent/adjuvant anti-CTLA-4/TIGIT therapy would exert a maximal effect with RT. This study provides rationale for clinical trials of RT combined with defined ICI therapy, and these findings will support future studies to search for more effective targets and timing of therapy administration.
期刊介绍:
Cancer Immunology Research publishes exceptional original articles showcasing significant breakthroughs across the spectrum of cancer immunology. From fundamental inquiries into host-tumor interactions to developmental therapeutics, early translational studies, and comprehensive analyses of late-stage clinical trials, the journal provides a comprehensive view of the discipline. In addition to original research, the journal features reviews and opinion pieces of broad significance, fostering cross-disciplinary collaboration within the cancer research community. Serving as a premier resource for immunology knowledge in cancer research, the journal drives deeper insights into the host-tumor relationship, potent cancer treatments, and enhanced clinical outcomes.
Key areas of interest include endogenous antitumor immunity, tumor-promoting inflammation, cancer antigens, vaccines, antibodies, cellular therapy, cytokines, immune regulation, immune suppression, immunomodulatory effects of cancer treatment, emerging technologies, and insightful clinical investigations with immunological implications.