{"title":"放射肿瘤学团队基础与转化科学的未来","authors":"R.P. Coppes PhD , L.V. van Dijk PhD","doi":"10.1016/j.semradonc.2024.07.007","DOIUrl":null,"url":null,"abstract":"<div><p>To further optimize radiotherapy, a more personalized treatment towards individual patient's risk profiles, dissecting both patient-specific tumor and normal tissue response to multimodality treatments is needed. Novel developments in radiobiology, using in vitro patient-specific complex tissue resembling 3D models and multiomics approaches at a spatial single-cell level, may provide unprecedented insight into the radiation responses of tumors and normal tissue. Here, we describe the necessary team effort, including all disciplines in radiation oncology, to integrate such data into clinical prediction models and link the relatively \"big data\" from the clinical practice, allowing accurate patient stratification for personalized treatment approaches.</p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"34 4","pages":"Pages 370-378"},"PeriodicalIF":2.6000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1053429624000584/pdfft?md5=25386a67713f626e3129cd01445748d2&pid=1-s2.0-S1053429624000584-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Future of Team-based Basic and Translational Science in Radiation Oncology\",\"authors\":\"R.P. Coppes PhD , L.V. van Dijk PhD\",\"doi\":\"10.1016/j.semradonc.2024.07.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>To further optimize radiotherapy, a more personalized treatment towards individual patient's risk profiles, dissecting both patient-specific tumor and normal tissue response to multimodality treatments is needed. Novel developments in radiobiology, using in vitro patient-specific complex tissue resembling 3D models and multiomics approaches at a spatial single-cell level, may provide unprecedented insight into the radiation responses of tumors and normal tissue. Here, we describe the necessary team effort, including all disciplines in radiation oncology, to integrate such data into clinical prediction models and link the relatively \\\"big data\\\" from the clinical practice, allowing accurate patient stratification for personalized treatment approaches.</p></div>\",\"PeriodicalId\":49542,\"journal\":{\"name\":\"Seminars in Radiation Oncology\",\"volume\":\"34 4\",\"pages\":\"Pages 370-378\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1053429624000584/pdfft?md5=25386a67713f626e3129cd01445748d2&pid=1-s2.0-S1053429624000584-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seminars in Radiation Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1053429624000584\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Radiation Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1053429624000584","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Future of Team-based Basic and Translational Science in Radiation Oncology
To further optimize radiotherapy, a more personalized treatment towards individual patient's risk profiles, dissecting both patient-specific tumor and normal tissue response to multimodality treatments is needed. Novel developments in radiobiology, using in vitro patient-specific complex tissue resembling 3D models and multiomics approaches at a spatial single-cell level, may provide unprecedented insight into the radiation responses of tumors and normal tissue. Here, we describe the necessary team effort, including all disciplines in radiation oncology, to integrate such data into clinical prediction models and link the relatively "big data" from the clinical practice, allowing accurate patient stratification for personalized treatment approaches.
期刊介绍:
Each issue of Seminars in Radiation Oncology is compiled by a guest editor to address a specific topic in the specialty, presenting definitive information on areas of rapid change and development. A significant number of articles report new scientific information. Topics covered include tumor biology, diagnosis, medical and surgical management of the patient, and new technologies.