当前位置: X-MOL 学术Nat. Rev. Clin. Oncol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Use of genomics to balance cure and complications.
Nature Reviews Clinical Oncology ( IF 81.1 ) Pub Date : 2020-01-01 , DOI: 10.1038/s41571-019-0306-1
David Azria 1, 2, 3 , Barry S Rosenstein 4, 5
Affiliation  

The identification of biomarkers and the development of genomics-based assays predictive of outcomes following radiotherapy, in an effort to help guide the treatment of patients with cancer, is an area of increasing research interest. Here, we discuss the validity of one such classifier, ARTIC, in the context of complementary genomic approaches designed to predict both tumour response and the susceptibility of nonmalignant tissues to toxicities resulting from radiotherapy.

中文翻译:

使用基因组学来平衡治愈和并发症。

为了帮助指导癌症患者的治疗,生物标志物的鉴定和基于基因组学的检测方法的开发可预测放射治疗后的结果,这是一个越来越受到研究关注的领域。在这里,我们在旨在预测肿瘤反应和非恶性组织对放射治疗毒性的易感性的互补基因组方法的背景下讨论了这样一种分类器 ARTIC 的有效性。
更新日期:2019-11-30
down
wechat
bug