Autor: |
Yiqi Yu, Gang Yang, Hua Huang, Ziyao Fu, Zhe Cao, Lianfang Zheng, Lei You, Taiping Zhang |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Journal of Experimental & Clinical Cancer Research, Vol 40, Iss 1, Pp 1-13 (2021) |
Druh dokumentu: |
article |
ISSN: |
1756-9966 |
DOI: |
10.1186/s13046-020-01787-5 |
Popis: |
Abstract Pancreatic ductal adenocarcinoma (PDAC) is an extremely lethal malignancy, with an average 5-year survival rate of 9% (Siegel RL, Miller KD, Jemal A. Ca Cancer J Clin. 2019;69(1):7-34). The steady increase in mortality rate indicates limited efficacy of the conventional regimen. The heterogeneity of PDAC calls for personalized treatment in clinical practice, which requires the construction of a preclinical system for generating patient-derived models. Currently, the lack of high-quality preclinical models results in ineffective translation of novel targeted therapeutics. This review summarizes applications of commonly used models, discusses major difficulties in PDAC model construction and provides recommendations for integrating workflows for precision medicine. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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