Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Papadimitriou, Konstantinos, Kostopoulos, Ioannis V., Tsopanidou, Anastasia, Orologas-Stavrou, Nikolaos, Kastritis, Efstathios, Tsitsilonis, Ourania E., Dimopoulos, Meletios A., Terpos, Evangelos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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
_version_ 1783577171668762624
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
work_keys_str_mv AT papadimitrioukonstantinos exvivomodelssimulatingthebonemarrowenvironmentandpredictingresponsetotherapyinmultiplemyeloma
AT kostopoulosioannisv exvivomodelssimulatingthebonemarrowenvironmentandpredictingresponsetotherapyinmultiplemyeloma
AT tsopanidouanastasia exvivomodelssimulatingthebonemarrowenvironmentandpredictingresponsetotherapyinmultiplemyeloma
AT orologasstavrounikolaos exvivomodelssimulatingthebonemarrowenvironmentandpredictingresponsetotherapyinmultiplemyeloma
AT kastritisefstathios exvivomodelssimulatingthebonemarrowenvironmentandpredictingresponsetotherapyinmultiplemyeloma
AT tsitsilonisouraniae exvivomodelssimulatingthebonemarrowenvironmentandpredictingresponsetotherapyinmultiplemyeloma
AT dimopoulosmeletiosa exvivomodelssimulatingthebonemarrowenvironmentandpredictingresponsetotherapyinmultiplemyeloma
AT terposevangelos exvivomodelssimulatingthebonemarrowenvironmentandpredictingresponsetotherapyinmultiplemyeloma