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High-throughput Screening Using Patient-Derived Tumor Xenografts to Predict Clinical Trial Drug Response

Hui Gao,Joshua M Korn,Stéphane Ferretti,John E Monahan,Youzhen Wang,Mallika Singh,Chao Zhang,Christian Schnell,Guizhi Yang,Yun Zhang,O Alejandro Balbin,Stéphanie Barbe,Hongbo Cai,Fergal Casey, Susmita Chatterjee,Derek Y Chiang,Shannon Chuai, Shawn M Cogan,Scott D Collins,Ernesta Dammassa,Nicolas Ebel,Millicent Embry,John Green,Audrey Kauffmann,Colleen Kowal,Rebecca J Leary,Joseph Lehar,Ying Liang,Alice Loo,Edward Lorenzana,E Robert McDonald III,Margaret E McLaughlin, Jason Merkin,Ronald Meyer,Tara L Naylor,Montesa Patawaran,Anupama Reddy,Claudia Röelli,David A Ruddy,Fernando Salangsang, Francesca Santacroce,Angad P Singh,Yan Tang,Walter Tinetto, Sonja Tobler,Roberto Velazquez,Kavitha Venkatesan, Fabian Von Arx,Hui Qin Wang,Zongyao Wang,Marion Wiesmann,Daniel Wyss,Fiona Xu,Hans Bitter,Peter Atadja,Emma Lees,Francesco Hofmann,En Li,Nicholas Keen,Robert Cozens,Michael Rugaard Jensen,Nancy K Pryer,Juliet A Williams,William R Sellers

Nature Medicine（2015）

Cited 1105|Views130
Key words
Cancer models,Targeted therapies,Biomedicine,general,Cancer Research,Metabolic Diseases,Infectious Diseases,Molecular Medicine,Neurosciences
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