Generation and analysis of 3D cell culture models for drug discovery

• Published in: European journal of pharmaceutical sciences Vol. 163; p. 105876
• Main Authors: Belfiore, Lisa, Aghaei, Behnaz, Law, Andrew M.K., Dobrowolski, Jeremy C., Raftery, Lyndon J., Tjandra, Angie D., Yee, Christine, Piloni, Alberto, Volkerling, Alexander, Ferris, Cameron J., Engel, Martin
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.08.2021
• Subjects: 3D cell culture; Bioprinting; Drug screening; Drug screening; Bioprinting; 3D cell culture; drug screening; bioprinting
• ISSN: 0928-0987; 1879-0720
• DOI: 10.1016/j.ejps.2021.105876

Successful preclinical drug testing relies in part on data generated using in vitro cell culture models that recapitulate the structure and function of tumours and other tissues in vivo. The growing evidence that 3D cell models can more accurately predict the efficacy of drug responses compared to traditionally utilised 2D cell culture systems has led to continuous scientific and technological advances that enable better physiologically representative in vitro modelling of in vivo tissues. This review will provide an overview of the utility of current 3D cell models from a drug screening perspective and explore the future of 3D cell models for drug discovery applications. 3D cell models for drug screening. Cells cultured in 3D better represent in vivo tumours by recapitulating tumour architecture and the presence of extracellular matrix (ECM), which affects drug response. [Display omitted]