Cancer cell lines as patient avatars for drug response prediction

被引：5

作者：

McDermott, Ultan ^{[1
]}

机构：

[1] AstraZeneca, IMED Oncol, Cambridge, England

来源：

NATURE GENETICS | 2018年 / 50卷 / 10期

关键词：

GENOME ATLAS;

D O I：

10.1038/s41588-018-0245-2

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Patient-derived cancer cell lines could address two major challenges in oncology: real-time drug response prediction and the creation of massive knowledge banks. A new study showcases the power of this approach for precision oncology. © 2018, Springer Nature America, Inc.

引用

页码：1350 / 1351

页数：2

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