Modelling 3D Tumour Microenvironment In Vivo: A Tool to Predict Cancer Fate

Recently, many studies demonstrated the fundamental role of the tumour microenvironment (TME) in cancer progression. Here, we describe a method to visualize in 3D the behaviour of tumours in zebrafish embryos. We highlight two major actors of the TME, macrophages and vessels. This valuable tool is t...

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Detalles Bibliográficos
Autores principales: Marines, Johanna, Lorenzini, Francesca, Kissa, Karima, Fontenille, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670573/
https://www.ncbi.nlm.nih.gov/pubmed/37998746
http://dx.doi.org/10.3390/cimb45110569
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author Marines, Johanna
Lorenzini, Francesca
Kissa, Karima
Fontenille, Laura
author_facet Marines, Johanna
Lorenzini, Francesca
Kissa, Karima
Fontenille, Laura
author_sort Marines, Johanna
collection PubMed
description Recently, many studies demonstrated the fundamental role of the tumour microenvironment (TME) in cancer progression. Here, we describe a method to visualize in 3D the behaviour of tumours in zebrafish embryos. We highlight two major actors of the TME, macrophages and vessels. This valuable tool is transposable to Patient-Derived Xenograft imaging in order to predict the fate of malignant tumours according to the dynamics of their TME.
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spelling pubmed-106705732023-11-14 Modelling 3D Tumour Microenvironment In Vivo: A Tool to Predict Cancer Fate Marines, Johanna Lorenzini, Francesca Kissa, Karima Fontenille, Laura Curr Issues Mol Biol Brief Report Recently, many studies demonstrated the fundamental role of the tumour microenvironment (TME) in cancer progression. Here, we describe a method to visualize in 3D the behaviour of tumours in zebrafish embryos. We highlight two major actors of the TME, macrophages and vessels. This valuable tool is transposable to Patient-Derived Xenograft imaging in order to predict the fate of malignant tumours according to the dynamics of their TME. MDPI 2023-11-14 /pmc/articles/PMC10670573/ /pubmed/37998746 http://dx.doi.org/10.3390/cimb45110569 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 Brief Report
Marines, Johanna
Lorenzini, Francesca
Kissa, Karima
Fontenille, Laura
Modelling 3D Tumour Microenvironment In Vivo: A Tool to Predict Cancer Fate
title Modelling 3D Tumour Microenvironment In Vivo: A Tool to Predict Cancer Fate
title_full Modelling 3D Tumour Microenvironment In Vivo: A Tool to Predict Cancer Fate
title_fullStr Modelling 3D Tumour Microenvironment In Vivo: A Tool to Predict Cancer Fate
title_full_unstemmed Modelling 3D Tumour Microenvironment In Vivo: A Tool to Predict Cancer Fate
title_short Modelling 3D Tumour Microenvironment In Vivo: A Tool to Predict Cancer Fate
title_sort modelling 3d tumour microenvironment in vivo: a tool to predict cancer fate
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670573/
https://www.ncbi.nlm.nih.gov/pubmed/37998746
http://dx.doi.org/10.3390/cimb45110569
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AT kissakarima modelling3dtumourmicroenvironmentinvivoatooltopredictcancerfate
AT fontenillelaura modelling3dtumourmicroenvironmentinvivoatooltopredictcancerfate

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