Opportunities and challenges for patient-derived models of brain tumors in functional precision medicine

被引:1
作者
Mann, Breanna [1 ,2 ]
Artz, Nichole [3 ]
Darawsheh, Rami [1 ]
Kram, David E. [3 ]
Hingtgen, Shawn [1 ]
Satterlee, Andrew B. [1 ,2 ]
机构
[1] Univ North Carolina, Eshelman Sch Pharm, Div Pharmacoengineering & Mol Pharmaceut, Chapel Hill, NC 27599 USA
[2] Univ North Carolina, Eshelman Inst Innovat, Chapel Hill, NC 27599 USA
[3] Univ North Carolina, Div Pediat Hematol Oncol, Chapel Hill, NC USA
基金
美国国家卫生研究院;
关键词
GLIOMA-CELL LINES; STEM-CELLS; GLIOBLASTOMA; CANCER; ORGANOIDS; CULTURE; XENOGRAFTS; GROWTH; HETEROGENEITY; RESISTANCE;
D O I
10.1038/s41698-025-00832-w
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Here, we review a growing paradigm shift from genomics-based precision medicine toward functional precision medicine, which evaluates therapeutic efficacy by directly treating living patient tumors ex vivo to better predict patient-specific responses to treatment. We discuss several classes of patient-derived models of central nervous system tumors, highlighting unique features of each. Each class of models holds promise to improve treatment selection, prolong survival, and enhance patient outcomes.
引用
收藏
页数:16
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