{"title":"致编辑的信:用于动态监测肿瘤炎症微环境和免疫疗法反应预测的放射组学特征。","authors":"Yuhao Dong, Shuixing Zhang","doi":"10.1136/jitc-2025-011778","DOIUrl":null,"url":null,"abstract":"<p><p>We read with great interest the article by Bernatowicz <i>et al</i> Despite the promising findings, we would like to highlight several concerns regarding the methodology and interpretation of the results that warrant further discussion, including the stability of radiomic features across pan-cancer types, the optimal threshold for CT-TIME (tumor immune microenvironment) scores, the biological interpretability of radiomic models, and the survival tail effect of immunotherapy responses.</p>","PeriodicalId":14820,"journal":{"name":"Journal for Immunotherapy of Cancer","volume":"13 2","pages":""},"PeriodicalIF":10.3000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11873337/pdf/","citationCount":"0","resultStr":"{\"title\":\"Letter to the editor: radiomics signature for dynamic monitoring of tumor-inflamed microenvironment and immunotherapy response prediction.\",\"authors\":\"Yuhao Dong, Shuixing Zhang\",\"doi\":\"10.1136/jitc-2025-011778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We read with great interest the article by Bernatowicz <i>et al</i> Despite the promising findings, we would like to highlight several concerns regarding the methodology and interpretation of the results that warrant further discussion, including the stability of radiomic features across pan-cancer types, the optimal threshold for CT-TIME (tumor immune microenvironment) scores, the biological interpretability of radiomic models, and the survival tail effect of immunotherapy responses.</p>\",\"PeriodicalId\":14820,\"journal\":{\"name\":\"Journal for Immunotherapy of Cancer\",\"volume\":\"13 2\",\"pages\":\"\"},\"PeriodicalIF\":10.3000,\"publicationDate\":\"2025-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11873337/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal for Immunotherapy of Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/jitc-2025-011778\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal for Immunotherapy of Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/jitc-2025-011778","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Letter to the editor: radiomics signature for dynamic monitoring of tumor-inflamed microenvironment and immunotherapy response prediction.
We read with great interest the article by Bernatowicz et al Despite the promising findings, we would like to highlight several concerns regarding the methodology and interpretation of the results that warrant further discussion, including the stability of radiomic features across pan-cancer types, the optimal threshold for CT-TIME (tumor immune microenvironment) scores, the biological interpretability of radiomic models, and the survival tail effect of immunotherapy responses.
期刊介绍:
The Journal for ImmunoTherapy of Cancer (JITC) is a peer-reviewed publication that promotes scientific exchange and deepens knowledge in the constantly evolving fields of tumor immunology and cancer immunotherapy. With an open access format, JITC encourages widespread access to its findings. The journal covers a wide range of topics, spanning from basic science to translational and clinical research. Key areas of interest include tumor-host interactions, the intricate tumor microenvironment, animal models, the identification of predictive and prognostic immune biomarkers, groundbreaking pharmaceutical and cellular therapies, innovative vaccines, combination immune-based treatments, and the study of immune-related toxicity.