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State of the Art in 3D Culture Models Applied to Thyroid Cancer.

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Medicina (Kaunas, Lithuania) 📖 저널 OA 99.6% 2021: 15/15 OA 2022: 12/12 OA 2023: 21/21 OA 2024: 32/32 OA 2025: 99/99 OA 2026: 60/60 OA 2021~2026 2024 Vol.60(4)
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Prete A, Matrone A, Plebani R

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Thyroid cancer (TC) is the prevalent endocrine tumor with a rising incidence, particularly in higher-income countries, leading to an increased interest in its management and treatment.

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APA Prete A, Matrone A, Plebani R (2024). State of the Art in 3D Culture Models Applied to Thyroid Cancer.. Medicina (Kaunas, Lithuania), 60(4). https://doi.org/10.3390/medicina60040520
MLA Prete A, et al.. "State of the Art in 3D Culture Models Applied to Thyroid Cancer.." Medicina (Kaunas, Lithuania), vol. 60, no. 4, 2024.
PMID 38674166 ↗

Abstract

Thyroid cancer (TC) is the prevalent endocrine tumor with a rising incidence, particularly in higher-income countries, leading to an increased interest in its management and treatment. While overall, survival rates for TC are usually favorable, advanced cases, especially with metastasis and specific histotypes, pose challenges with poorer outcomes, advocating the need of systemic treatments. Targeted therapies have shown efficacy in both preclinical models and clinical trials but face issues of resistance, since they usually induce partial and transient response. These resistance phenomena are currently only partially addressed by traditional preclinical models. This review explores the limitations of traditional preclinical models and emphasizes the potential of three-dimensional (3D) models, such as transwell assays, spheroids, organoids, and organ-on-chip technology in providing a more comprehensive understanding of TC pathogenesis and treatment responses. We reviewed their use in the TC field, highlighting how they can produce new interesting insights. Finally, the advent of organ-on-chip technology is currently revolutionizing preclinical research, offering dynamic, multi-cellular systems that replicate the complexity of human organs and cancer-host interactions.

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