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


Journal

Medicina (Kaunas, Lithuania)
ISSN: 1648-9144
Titre abrégé: Medicina (Kaunas)
Pays: Switzerland
ID NLM: 9425208

Informations de publication

Date de publication:
22 Mar 2024
Historique:
received: 31 01 2024
revised: 08 03 2024
accepted: 15 03 2024
medline: 27 4 2024
pubmed: 27 4 2024
entrez: 27 4 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38674166
pii: medicina60040520
doi: 10.3390/medicina60040520
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Alessandro Prete (A)

Department of Clinical and Experimental Medicine, Endocrine Unit 2, University of Pisa, 56122 Pisa, Italy.

Antonio Matrone (A)

Department of Clinical and Experimental Medicine, Endocrine Unit 2, University of Pisa, 56122 Pisa, Italy.

Roberto Plebani (R)

Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University, 66100 Chieti-Pescara, Italy.

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Classifications MeSH