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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,...

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Autores principales: Miserocchi, Giacomo, Bocchini, Martine, Cortesi, Michela, Arienti, Chiara, De Vita, Alessandro, Liverani, Chiara, Mercatali, Laura, Bravaccini, Sara, Ulivi, Paola, Zanoni, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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