Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks

Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks

Traditional cancer models including cell lines and animal models have limited applications in both basic and clinical cancer research. Genomics-based precision oncology only help 2−20% patients with solid cancer. Functional diagnostics and patient-derived cancer models are needed for preci...

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Bibliographic Details
Main Authors: Nancy Palechor-Ceron, Ewa Krawczyk, Aleksandra Dakic, Vera Simic, Hang Yuan, Jan Blancato, Weisheng Wang, Fleesie Hubbard, Yun-Ling Zheng, Hancai Dan, Scott Strome, Kevin Cullen, Bruce Davidson, John F. Deeken, Sujata Choudhury, Peter H. Ahn, Seema Agarwal, Xuexun Zhou, Richard Schlegel, Priscilla A. Furth, Chong-Xian Pan, Xuefeng Liu
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Cells
Subjects:
conditionally reprogrammed cells
patient-derived cancer models
organoids
living biobanks
Online Access:https://www.mdpi.com/2073-4409/8/11/1327

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https://www.mdpi.com/2073-4409/8/11/1327

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