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Ex Vivo Models Simulating the Bone Marrow Environment and Predicting Response to Therapy in Multiple Myeloma
Multiple myeloma (MM) remains incurable despite the abundance of novel drugs. As it has been previously shown, preclinical 2D models fail to predict disease progression due to their inability to simulate the microenvironment of the bone marrow. In this review, we focus on 3D models and present all c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463609/ https://www.ncbi.nlm.nih.gov/pubmed/32707884 http://dx.doi.org/10.3390/cancers12082006 |
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author | Papadimitriou, Konstantinos Kostopoulos, Ioannis V. Tsopanidou, Anastasia Orologas-Stavrou, Nikolaos Kastritis, Efstathios Tsitsilonis, Ourania E. Dimopoulos, Meletios A. Terpos, Evangelos |
author_facet | Papadimitriou, Konstantinos Kostopoulos, Ioannis V. Tsopanidou, Anastasia Orologas-Stavrou, Nikolaos Kastritis, Efstathios Tsitsilonis, Ourania E. Dimopoulos, Meletios A. Terpos, Evangelos |
author_sort | Papadimitriou, Konstantinos |
collection | PubMed |
description | Multiple myeloma (MM) remains incurable despite the abundance of novel drugs. As it has been previously shown, preclinical 2D models fail to predict disease progression due to their inability to simulate the microenvironment of the bone marrow. In this review, we focus on 3D models and present all currently available ex vivo MM models that fulfil certain criteria, such as development of complex 3D environments using patients’ cells and ability to test different drugs in order to assess personalized MM treatment efficacy of various regimens and combinations. We selected models representing the top-notch ex vivo platforms and evaluated them in terms of cost, time-span, and feasibility of the method. Finally, we propose where such a model can be more informative in a patient’s treatment timeline. Overall, advanced 3D preclinical models are very promising as they may eventually offer the opportunity to precisely select the optimal personalized treatment for each MM patient. |
format | Online Article Text |
id | pubmed-7463609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74636092020-09-02 Ex Vivo Models Simulating the Bone Marrow Environment and Predicting Response to Therapy in Multiple Myeloma Papadimitriou, Konstantinos Kostopoulos, Ioannis V. Tsopanidou, Anastasia Orologas-Stavrou, Nikolaos Kastritis, Efstathios Tsitsilonis, Ourania E. Dimopoulos, Meletios A. Terpos, Evangelos Cancers (Basel) Review Multiple myeloma (MM) remains incurable despite the abundance of novel drugs. As it has been previously shown, preclinical 2D models fail to predict disease progression due to their inability to simulate the microenvironment of the bone marrow. In this review, we focus on 3D models and present all currently available ex vivo MM models that fulfil certain criteria, such as development of complex 3D environments using patients’ cells and ability to test different drugs in order to assess personalized MM treatment efficacy of various regimens and combinations. We selected models representing the top-notch ex vivo platforms and evaluated them in terms of cost, time-span, and feasibility of the method. Finally, we propose where such a model can be more informative in a patient’s treatment timeline. Overall, advanced 3D preclinical models are very promising as they may eventually offer the opportunity to precisely select the optimal personalized treatment for each MM patient. MDPI 2020-07-22 /pmc/articles/PMC7463609/ /pubmed/32707884 http://dx.doi.org/10.3390/cancers12082006 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Papadimitriou, Konstantinos Kostopoulos, Ioannis V. Tsopanidou, Anastasia Orologas-Stavrou, Nikolaos Kastritis, Efstathios Tsitsilonis, Ourania E. Dimopoulos, Meletios A. Terpos, Evangelos Ex Vivo Models Simulating the Bone Marrow Environment and Predicting Response to Therapy in Multiple Myeloma |
title | Ex Vivo Models Simulating the Bone Marrow Environment and Predicting Response to Therapy in Multiple Myeloma |
title_full | Ex Vivo Models Simulating the Bone Marrow Environment and Predicting Response to Therapy in Multiple Myeloma |
title_fullStr | Ex Vivo Models Simulating the Bone Marrow Environment and Predicting Response to Therapy in Multiple Myeloma |
title_full_unstemmed | Ex Vivo Models Simulating the Bone Marrow Environment and Predicting Response to Therapy in Multiple Myeloma |
title_short | Ex Vivo Models Simulating the Bone Marrow Environment and Predicting Response to Therapy in Multiple Myeloma |
title_sort | ex vivo models simulating the bone marrow environment and predicting response to therapy in multiple myeloma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463609/ https://www.ncbi.nlm.nih.gov/pubmed/32707884 http://dx.doi.org/10.3390/cancers12082006 |
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