Suppr超能文献

用于绘制 RCC 中癌症趋同进化并指导治疗的河流模型。

A river model to map convergent cancer evolution and guide therapy in RCC.

机构信息

Human Oncology and Pathogenesis Program, 1275 York Avenue, Box 20, New York, NY 10065, USA.

Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, 353 East 68th Street, New York, NY 10065, USA.

出版信息

Nat Rev Urol. 2015 Dec;12(12):706-12. doi: 10.1038/nrurol.2015.260. Epub 2015 Nov 3.

Abstract

Intratumoural heterogeneity in clear cell renal cell carcinoma (ccRCC) complicates identification and validation of biomarkers and thwarts attempts to improve precision medicine. Efforts to depict intratumoural heterogeneity and to pinpoint strategies for disease control resulted in the creation of the trunk-branch model of mutational cancer evolution, which emphasizes targeting trunk mutations. However, most patients with ccRCC receiving current therapeutics that target these mutations, such as inhibitors of vascular endothelial growth factors, eventually develop resistance. A novel paradigm might improve depiction of cancer evolution and advise therapeutic selection: the river model is based on findings from multiregion sequencing in samples from exceptional responders to mTOR inhibitors. The accumulating data on genotypic and phenotypic convergence in renal cell carcinoma and other malignancies can be used to examine how a mutable river model might best describe clinically significant phenotype-convergent events that could guide effective cancer control. This model originates from studying exceptional responders and its generalizability awaits validation.

摘要

肾透明细胞癌(ccRCC)肿瘤内异质性使生物标志物的鉴定和验证变得复杂,并阻碍了精准医学的发展。为了描绘肿瘤内异质性并确定疾病控制策略,人们提出了突变癌症进化的主干-分支模型,该模型强调针对主干突变。然而,大多数接受针对这些突变的现有治疗方法(如血管内皮生长因子抑制剂)的 ccRCC 患者最终会产生耐药性。一种新的范例可能会改善对癌症进化的描述并为治疗选择提供建议:河流模型基于对接受 mTOR 抑制剂治疗的患者的多区域测序样本中的发现。在肾细胞癌和其他恶性肿瘤中,关于基因型和表型趋同的累积数据可用于检查可变的河流模型如何最好地描述可能指导有效癌症控制的具有临床意义的表型趋同事件。该模型源于对卓越反应者的研究,其普遍性有待验证。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验