Mondal Dodul, Pareek Vibhay, Barthwal Mansi
Department of Radiation Oncology, Max Super Speciality Hospitals, Saket, New Delhi, India.
Department of Radiation Oncology, Cancer Care, Manitoba, Winnipeg, MB, Canada.
J Cancer Res Ther. 2023 Jan 1;19(Suppl 2):S508-S512. doi: 10.4103/jcrt.jcrt_508_23. Epub 2024 Feb 21.
The technological developments associated with the branch of Radiation Oncology have been directed towards precise delivery of the dose, leading to improved survival in various solid malignancies. Radiation therapy as a treatment modality, is an integral component of more than half of the diagnosed malignancies. In spite of the role of adaptive radiation therapy evolving over the last decade, the fundamental question remains as to the difference in radiation response between individuals. Recently, the role of the radiosensitivity index has emerged, which has shown immense potential in the development of biologically driven tumor radiation therapy. The role of these novel methods of genome-based molecular assays needs to be explored to help in decision-making between radical treatment options for various malignancies and reduce the associated toxicity burden. In this article, we explore the current evidence available for various malignancy sites and provide a comprehensive review of the predictive values of various molecular markers available and their impact on the radiosensitivity index.
放射肿瘤学分支相关的技术发展一直致力于精确给药,从而提高各种实体恶性肿瘤的生存率。放射治疗作为一种治疗方式,是超过半数已确诊恶性肿瘤不可或缺的组成部分。尽管自适应放射治疗在过去十年中不断发展,但个体间放射反应的差异这一基本问题仍然存在。最近,放射敏感性指数的作用逐渐显现,它在生物驱动的肿瘤放射治疗发展中显示出巨大潜力。需要探索这些基于基因组的分子检测新方法的作用,以帮助在各种恶性肿瘤的根治性治疗方案之间做出决策,并减轻相关的毒性负担。在本文中,我们探讨了目前各种恶性肿瘤部位的现有证据,并对各种可用分子标志物的预测价值及其对放射敏感性指数的影响进行了全面综述。