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Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma
To date, PDAC remains the cancer having the worst prognosis with mortality rates constantly on the rise. Efficient cures are still absent, despite all attempts to understand the aggressive physiopathology underlying this disease. A major stumbling block is the outdated preclinical modeling strategie...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987422/ https://www.ncbi.nlm.nih.gov/pubmed/32038993 http://dx.doi.org/10.3389/fonc.2019.01443 |
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author | Swayden, Mirna Soubeyran, Philippe Iovanna, Juan |
author_facet | Swayden, Mirna Soubeyran, Philippe Iovanna, Juan |
author_sort | Swayden, Mirna |
collection | PubMed |
description | To date, PDAC remains the cancer having the worst prognosis with mortality rates constantly on the rise. Efficient cures are still absent, despite all attempts to understand the aggressive physiopathology underlying this disease. A major stumbling block is the outdated preclinical modeling strategies applied in assessing effectiveness of novel anticancer therapeutics. Current in vitro preclinical models have a low fidelity to mimic the exact architectural and functional complexity of PDAC tumor found in human set, due to the lack of major components such as immune system and tumor microenvironment with its associated chemical and mechanical signals. The existing PDAC preclinical platforms are still far from being reliable and trustworthy to guarantee the success of a drug in clinical trials. Therefore, there is an urgent demand to innovate novel in vitro preclinical models that mirrors with precision tumor-microenvironment interface, pressure of immune system, and molecular and morphological aspects of the PDAC normally experienced within the living organ. This review outlines the traditional preclinical models of PDAC namely 2D cell lines, genetically engineered mice, and xenografts, and describing the present famous approach of 3D organoids. We offer a detailed narration of the pros and cons of each model system. Finally, we suggest the incorporation of two off-center newly born techniques named 3D bio-printing and organs-on-chip and discuss the potentials of swine models and in silico tools, as powerful new tools able to transform PDAC preclinical modeling to a whole new level and open new gates in personalized medicine. |
format | Online Article Text |
id | pubmed-6987422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69874222020-02-07 Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma Swayden, Mirna Soubeyran, Philippe Iovanna, Juan Front Oncol Oncology To date, PDAC remains the cancer having the worst prognosis with mortality rates constantly on the rise. Efficient cures are still absent, despite all attempts to understand the aggressive physiopathology underlying this disease. A major stumbling block is the outdated preclinical modeling strategies applied in assessing effectiveness of novel anticancer therapeutics. Current in vitro preclinical models have a low fidelity to mimic the exact architectural and functional complexity of PDAC tumor found in human set, due to the lack of major components such as immune system and tumor microenvironment with its associated chemical and mechanical signals. The existing PDAC preclinical platforms are still far from being reliable and trustworthy to guarantee the success of a drug in clinical trials. Therefore, there is an urgent demand to innovate novel in vitro preclinical models that mirrors with precision tumor-microenvironment interface, pressure of immune system, and molecular and morphological aspects of the PDAC normally experienced within the living organ. This review outlines the traditional preclinical models of PDAC namely 2D cell lines, genetically engineered mice, and xenografts, and describing the present famous approach of 3D organoids. We offer a detailed narration of the pros and cons of each model system. Finally, we suggest the incorporation of two off-center newly born techniques named 3D bio-printing and organs-on-chip and discuss the potentials of swine models and in silico tools, as powerful new tools able to transform PDAC preclinical modeling to a whole new level and open new gates in personalized medicine. Frontiers Media S.A. 2020-01-22 /pmc/articles/PMC6987422/ /pubmed/32038993 http://dx.doi.org/10.3389/fonc.2019.01443 Text en Copyright © 2020 Swayden, Soubeyran and Iovanna. http://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 | Oncology Swayden, Mirna Soubeyran, Philippe Iovanna, Juan Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma |
title | Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma |
title_full | Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma |
title_fullStr | Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma |
title_full_unstemmed | Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma |
title_short | Upcoming Revolutionary Paths in Preclinical Modeling of Pancreatic Adenocarcinoma |
title_sort | upcoming revolutionary paths in preclinical modeling of pancreatic adenocarcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987422/ https://www.ncbi.nlm.nih.gov/pubmed/32038993 http://dx.doi.org/10.3389/fonc.2019.01443 |
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