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Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine

The management of osteosarcoma (OS) patients presents a significant clinical challenge. Despite progress in conventional and targeted therapies, the survival rate of OS patients remains limited largely due to therapy resistance and the high metastatic potential of the disease. OS models that accurat...

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Detalles Bibliográficos
Autores principales: Tan, Linyun, Wang, Yitian, Hu, Xin, Du, Guifeng, Tang, Xiaodi, Min, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527053/
https://www.ncbi.nlm.nih.gov/pubmed/37759763
http://dx.doi.org/10.3390/biom13091362
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author Tan, Linyun
Wang, Yitian
Hu, Xin
Du, Guifeng
Tang, Xiaodi
Min, Li
author_facet Tan, Linyun
Wang, Yitian
Hu, Xin
Du, Guifeng
Tang, Xiaodi
Min, Li
author_sort Tan, Linyun
collection PubMed
description The management of osteosarcoma (OS) patients presents a significant clinical challenge. Despite progress in conventional and targeted therapies, the survival rate of OS patients remains limited largely due to therapy resistance and the high metastatic potential of the disease. OS models that accurately reflect the fundamental characteristics are vital to the innovation and validation of effective therapies. This review provides an insight into the advances and challenges in OS drug development, focusing on various preclinical models, including cell lines, 3D culture models, murine models, and canine models. The relevance, strengths, and limitations of each model in OS research are explored. In particular, we highlight a range of potential therapeutics identified through these models. These instances of successful drug development represent promising pathways for personalized OS treatment.
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spelling pubmed-105270532023-09-28 Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine Tan, Linyun Wang, Yitian Hu, Xin Du, Guifeng Tang, Xiaodi Min, Li Biomolecules Review The management of osteosarcoma (OS) patients presents a significant clinical challenge. Despite progress in conventional and targeted therapies, the survival rate of OS patients remains limited largely due to therapy resistance and the high metastatic potential of the disease. OS models that accurately reflect the fundamental characteristics are vital to the innovation and validation of effective therapies. This review provides an insight into the advances and challenges in OS drug development, focusing on various preclinical models, including cell lines, 3D culture models, murine models, and canine models. The relevance, strengths, and limitations of each model in OS research are explored. In particular, we highlight a range of potential therapeutics identified through these models. These instances of successful drug development represent promising pathways for personalized OS treatment. MDPI 2023-09-07 /pmc/articles/PMC10527053/ /pubmed/37759763 http://dx.doi.org/10.3390/biom13091362 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Tan, Linyun
Wang, Yitian
Hu, Xin
Du, Guifeng
Tang, Xiaodi
Min, Li
Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine
title Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine
title_full Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine
title_fullStr Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine
title_full_unstemmed Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine
title_short Advances of Osteosarcoma Models for Drug Discovery and Precision Medicine
title_sort advances of osteosarcoma models for drug discovery and precision medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527053/
https://www.ncbi.nlm.nih.gov/pubmed/37759763
http://dx.doi.org/10.3390/biom13091362
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