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Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes

The increasing number of available anti-cancer drugs presents a challenge for oncologists, who must choose the most effective treatment for the patient. Precision cancer medicine relies on matching a drug with a tumor’s molecular profile to optimize the therapeutic benefit. However, current precisio...

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Autores principales: Al-Hamaly, Majd A., Turner, Logan T., Rivera-Martinez, Angelica, Rodriguez, Analiz, Blackburn, Jessica S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916713/
https://www.ncbi.nlm.nih.gov/pubmed/36768609
http://dx.doi.org/10.3390/ijms24032288
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author Al-Hamaly, Majd A.
Turner, Logan T.
Rivera-Martinez, Angelica
Rodriguez, Analiz
Blackburn, Jessica S.
author_facet Al-Hamaly, Majd A.
Turner, Logan T.
Rivera-Martinez, Angelica
Rodriguez, Analiz
Blackburn, Jessica S.
author_sort Al-Hamaly, Majd A.
collection PubMed
description The increasing number of available anti-cancer drugs presents a challenge for oncologists, who must choose the most effective treatment for the patient. Precision cancer medicine relies on matching a drug with a tumor’s molecular profile to optimize the therapeutic benefit. However, current precision medicine approaches do not fully account for intra-tumoral heterogeneity. Different mutation profiles and cell behaviors within a single heterogeneous tumor can significantly impact therapy response and patient outcomes. Patient-derived avatar models recapitulate a patient’s tumor in an animal or dish and provide the means to functionally assess heterogeneity’s impact on drug response. Mouse xenograft and organoid avatars are well-established, but the time required to generate these models is not practical for clinical decision-making. Zebrafish are emerging as a time-efficient and cost-effective cancer avatar model. In this review, we highlight recent developments in zebrafish cancer avatar models and discuss the unique features of zebrafish that make them ideal for the interrogation of cancer heterogeneity and as part of precision cancer medicine pipelines.
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spelling pubmed-99167132023-02-11 Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes Al-Hamaly, Majd A. Turner, Logan T. Rivera-Martinez, Angelica Rodriguez, Analiz Blackburn, Jessica S. Int J Mol Sci Review The increasing number of available anti-cancer drugs presents a challenge for oncologists, who must choose the most effective treatment for the patient. Precision cancer medicine relies on matching a drug with a tumor’s molecular profile to optimize the therapeutic benefit. However, current precision medicine approaches do not fully account for intra-tumoral heterogeneity. Different mutation profiles and cell behaviors within a single heterogeneous tumor can significantly impact therapy response and patient outcomes. Patient-derived avatar models recapitulate a patient’s tumor in an animal or dish and provide the means to functionally assess heterogeneity’s impact on drug response. Mouse xenograft and organoid avatars are well-established, but the time required to generate these models is not practical for clinical decision-making. Zebrafish are emerging as a time-efficient and cost-effective cancer avatar model. In this review, we highlight recent developments in zebrafish cancer avatar models and discuss the unique features of zebrafish that make them ideal for the interrogation of cancer heterogeneity and as part of precision cancer medicine pipelines. MDPI 2023-01-24 /pmc/articles/PMC9916713/ /pubmed/36768609 http://dx.doi.org/10.3390/ijms24032288 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
Al-Hamaly, Majd A.
Turner, Logan T.
Rivera-Martinez, Angelica
Rodriguez, Analiz
Blackburn, Jessica S.
Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes
title Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes
title_full Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes
title_fullStr Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes
title_full_unstemmed Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes
title_short Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes
title_sort zebrafish cancer avatars: a translational platform for analyzing tumor heterogeneity and predicting patient outcomes
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916713/
https://www.ncbi.nlm.nih.gov/pubmed/36768609
http://dx.doi.org/10.3390/ijms24032288
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