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Vascularization Strategies in 3D Cell Culture Models: From Scaffold-Free Models to 3D Bioprinting

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出版社

MDPI
DOI: 10.3390/ijms232314582

关键词

vascularization; 3D cell culture; bioprinting; spheroids; scaffold-free; scaffold-based; microfluidics; drug screening; tumor modelling

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Traditional 2D cell culture models fail to accurately replicate the cellular environment in vivo, leading to discrepancies between preclinical and in vivo testing. Recent advancements in tissue engineering have enabled the development of 3D cell culture systems that can accurately mimic the cellular and tissue microenvironment. However, the lack of perfusion systems limits their application as drug screening platforms.
The discrepancies between the findings in preclinical studies, and in vivo testing and clinical trials have resulted in the gradual decline in drug approval rates over the past decades. Conventional in vitro drug screening platforms employ two-dimensional (2D) cell culture models, which demonstrate inaccurate drug responses by failing to capture the three-dimensional (3D) tissue microenvironment in vivo. Recent advancements in the field of tissue engineering have made possible the creation of 3D cell culture systems that can accurately recapitulate the cell-cell and cell-extracellular matrix interactions, as well as replicate the intricate microarchitectures observed in native tissues. However, the lack of a perfusion system in 3D cell cultures hinders the establishment of the models as potential drug screening platforms. Over the years, multiple techniques have successfully demonstrated vascularization in 3D cell cultures, simulating in vivo-like drug interactions, proposing the use of 3D systems as drug screening platforms to eliminate the deviations between preclinical and in vivo testing. In this review, the basic principles of 3D cell culture systems are briefly introduced, and current research demonstrating the development of vascularization in 3D cell cultures is discussed, with a particular focus on the potential of these models as the future of drug screening platforms.

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