Jul 2026· Annals of Biomedical Engineering· 0 citations· 107 references
Medicine
TL;DR
This review summarizes current strategies for constructing thyroid cancer 3D models, with emphasis on spheroid and organoid systems, encompassing scaffold-free, scaffold-based cultures, and emerging bioengineering platforms such as dynamic bioreactors, decellularized extracellular matrices, microfluidic organ-on-a-chip systems, and 3D bioprinting.
Cancer remains a major global health challenge, requiring innovative diagnostic and therapeutic strategies. Cell culture models are essential tools in cancer research. While traditional two-dimensional (2D) cultures are widely used because of their accessibility and simplicity, they inadequately represent the tumor mic...
Selma Yıldırım, J. Gómez-Salgado, Luis El Khoury-Moreno et al.· Current Issues in Molecular...· 0 citations
Introduction Three‐dimensional (3D) organoids derived from patient tissues have emerged as promising preclinical models that preserve tumor architecture and phenotypic heterogeneity better than conventional two‐dimensional cultures. This study aimed to establish patient‐derived 3D organoid models for anaplastic thyroid...
N. Kim, So Jeong Lee, Junu Kim et al.· International Journal of End...· 0 citations
A tiered, fit-for-purpose framework for the strategic selection and integration of preclinical cancer models based on the biological question, cancer subtype, and translational objective is proposed.
Y. Douglas, S. Adham· Journal of Translational Med...· 0 citations
This review synthesizes the biological rationale, technical principles, and translational applications of PDO–OoC integration, with an emphasis on recent clinical validation studies, AI integration, and post-FDA Modernization Act 2.0 regulatory evolution.
This narrative review provides a critical overview of advanced melanoma modeling platforms, including scaffold-free and scaffold-based 3D systems, spheroids, patient-derived organoids, assembloids, bioprinted constructs, and microfluidic tumor-on-chip devices, together with 4D time-resolved approaches.
I. Belviso, F. Mazzeo, M. L. Motti· Oncology Research· 0 citations
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