Cancer Patient-Derived Cell-Based Models: Applications and Challenges in Functional Precision Medicine

被引:0
|
作者
Dinic, Jelena [1 ]
Stojanov, Sofija Jovanovic [1 ]
Dragoj, Miodrag [1 ]
Grozdanic, Marija [1 ]
Podolski-Renic, Ana [1 ]
Pesic, Milica [1 ]
机构
[1] Univ Belgrade, Inst Biol Res Sinisa Stankovic, Natl Inst Republ Serbia, Dept Neurobiol, Bulevar Despota Stefana 142, Belgrade 11108, Serbia
来源
LIFE-BASEL | 2024年 / 14卷 / 09期
关键词
anticancer drugs; targeted therapy; functional assays; drug resistance; functional precision medicine; UNCOMMON EGFR MUTATIONS; ON-A-CHIP; LUNG-CANCER; COLORECTAL-CANCER; OPEN-LABEL; PHASE-III; 1ST-LINE TREATMENT; XENOGRAFT MODELS; MICROSATELLITE INSTABILITY; MOLECULAR-MECHANISMS;
D O I
10.3390/life14091142
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The field of oncology has witnessed remarkable progress in personalized cancer therapy. Functional precision medicine has emerged as a promising avenue for achieving superior treatment outcomes by integrating omics profiling and sensitivity testing of patient-derived cancer cells. This review paper provides an in-depth analysis of the evolution of cancer-directed drugs, resistance mechanisms, and the role of functional precision medicine platforms in revolutionizing individualized treatment strategies. Using two-dimensional (2D) and three-dimensional (3D) cell cultures, patient-derived xenograft (PDX) models, and advanced functional assays has significantly improved our understanding of tumor behavior and drug response. This progress will lead to identifying more effective treatments for more patients. Considering the limited eligibility of patients based on a genome-targeted approach for receiving targeted therapy, functional precision medicine provides unprecedented opportunities for customizing medical interventions according to individual patient traits and individual drug responses. This review delineates the current landscape, explores limitations, and presents future perspectives to inspire ongoing advancements in functional precision medicine for personalized cancer therapy.
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页数:33
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