Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
About this item
Full title
Author / Creator
Palechor-Ceron, Nancy , Krawczyk, Ewa , Dakic, Aleksandra , Simic, Vera , Yuan, Hang , Blancato, Jan , Wang, Weisheng , Hubbard, Fleesie , Zheng, Yun-Ling , Dan, Hancai , Strome, Scott , Cullen, Kevin , Davidson, Bruce , Deeken, John F. , Choudhury, Sujata , Ahn, Peter H. , Agarwal, Seema , Zhou, Xuexun , Schlegel, Richard , Furth, Priscilla A. , Pan, Chong-Xian and Liu, Xuefeng
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
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 precision cancer biology. In this review, we will summarize appli...
Alternative Titles
Full title
Conditional Reprogramming for Patient-Derived Cancer Models and Next-Generation Living Biobanks
Authors, Artists and Contributors
Author / Creator
Krawczyk, Ewa
Dakic, Aleksandra
Simic, Vera
Yuan, Hang
Blancato, Jan
Wang, Weisheng
Hubbard, Fleesie
Zheng, Yun-Ling
Dan, Hancai
Strome, Scott
Cullen, Kevin
Davidson, Bruce
Deeken, John F.
Choudhury, Sujata
Ahn, Peter H.
Agarwal, Seema
Zhou, Xuexun
Schlegel, Richard
Furth, Priscilla A.
Pan, Chong-Xian
Liu, Xuefeng
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_34fd46c6c5844396b7c84756c117ab54
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_34fd46c6c5844396b7c84756c117ab54
Other Identifiers
ISSN
2073-4409
E-ISSN
2073-4409
DOI
10.3390/cells8111327
