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Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension
Tumors are complex and heterogeneous diseases characterized by an intricate milieu and dynamically in connection with surrounding and distant tissues. In the last decades, great efforts have been made to develop novel preclinical models able to recapitulate the original features of tumors. However,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080004/ https://www.ncbi.nlm.nih.gov/pubmed/37033986 http://dx.doi.org/10.3389/fimmu.2023.1171141 |
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author | Miserocchi, Giacomo Bocchini, Martine Cortesi, Michela Arienti, Chiara De Vita, Alessandro Liverani, Chiara Mercatali, Laura Bravaccini, Sara Ulivi, Paola Zanoni, Michele |
author_facet | Miserocchi, Giacomo Bocchini, Martine Cortesi, Michela Arienti, Chiara De Vita, Alessandro Liverani, Chiara Mercatali, Laura Bravaccini, Sara Ulivi, Paola Zanoni, Michele |
author_sort | Miserocchi, Giacomo |
collection | PubMed |
description | Tumors are complex and heterogeneous diseases characterized by an intricate milieu and dynamically in connection with surrounding and distant tissues. In the last decades, great efforts have been made to develop novel preclinical models able to recapitulate the original features of tumors. However, the development of an in vitro functional and realistic tumor organ is still utopic and represents one of the major challenges to reproduce the architecture of the tumor ecosystem. A strategy to decrypt the whole picture and predict its behavior could be started from the validation of simplified biomimetic systems and then proceed with their integration. Variables such as the cellular and acellular composition of tumor microenvironment (TME) and its spatio-temporal distribution have to be considered in order to respect the dynamic evolution of the oncologic disease. In this perspective, we aim to explore the currently available strategies to improve and integrate in vitro and in vivo models, such as three-dimensional (3D) cultures, organoids, and zebrafish, in order to better understand the disease biology and improve the therapeutic approaches. |
format | Online Article Text |
id | pubmed-10080004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100800042023-04-08 Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension Miserocchi, Giacomo Bocchini, Martine Cortesi, Michela Arienti, Chiara De Vita, Alessandro Liverani, Chiara Mercatali, Laura Bravaccini, Sara Ulivi, Paola Zanoni, Michele Front Immunol Immunology Tumors are complex and heterogeneous diseases characterized by an intricate milieu and dynamically in connection with surrounding and distant tissues. In the last decades, great efforts have been made to develop novel preclinical models able to recapitulate the original features of tumors. However, the development of an in vitro functional and realistic tumor organ is still utopic and represents one of the major challenges to reproduce the architecture of the tumor ecosystem. A strategy to decrypt the whole picture and predict its behavior could be started from the validation of simplified biomimetic systems and then proceed with their integration. Variables such as the cellular and acellular composition of tumor microenvironment (TME) and its spatio-temporal distribution have to be considered in order to respect the dynamic evolution of the oncologic disease. In this perspective, we aim to explore the currently available strategies to improve and integrate in vitro and in vivo models, such as three-dimensional (3D) cultures, organoids, and zebrafish, in order to better understand the disease biology and improve the therapeutic approaches. Frontiers Media S.A. 2023-03-24 /pmc/articles/PMC10080004/ /pubmed/37033986 http://dx.doi.org/10.3389/fimmu.2023.1171141 Text en Copyright © 2023 Miserocchi, Bocchini, Cortesi, Arienti, De Vita, Liverani, Mercatali, Bravaccini, Ulivi and Zanoni https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Miserocchi, Giacomo Bocchini, Martine Cortesi, Michela Arienti, Chiara De Vita, Alessandro Liverani, Chiara Mercatali, Laura Bravaccini, Sara Ulivi, Paola Zanoni, Michele Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension |
title | Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension |
title_full | Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension |
title_fullStr | Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension |
title_full_unstemmed | Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension |
title_short | Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension |
title_sort | combining preclinical tools and models to unravel tumor complexity: jump into the next dimension |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080004/ https://www.ncbi.nlm.nih.gov/pubmed/37033986 http://dx.doi.org/10.3389/fimmu.2023.1171141 |
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