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Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion

Glioblastoma (GBM) is highly resistant to treatment and invasion into the surrounding brain is a cancer hallmark that leads to recurrence despite surgical resection. With the emergence of precision medicine, patient-derived 3D systems are considered potentially robust GBM preclinical models. In this...

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Autores principales: Darrigues, Emilie, Zhao, Edward H., De Loose, Annick, Lee, Madison P., Borrelli, Michael J., Eoff, Robert L., Galileo, Deni S., Penthala, Narsimha R., Crooks, Peter A., Rodriguez, Analiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509225/
https://www.ncbi.nlm.nih.gov/pubmed/34639060
http://dx.doi.org/10.3390/ijms221910720
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author Darrigues, Emilie
Zhao, Edward H.
De Loose, Annick
Lee, Madison P.
Borrelli, Michael J.
Eoff, Robert L.
Galileo, Deni S.
Penthala, Narsimha R.
Crooks, Peter A.
Rodriguez, Analiz
author_facet Darrigues, Emilie
Zhao, Edward H.
De Loose, Annick
Lee, Madison P.
Borrelli, Michael J.
Eoff, Robert L.
Galileo, Deni S.
Penthala, Narsimha R.
Crooks, Peter A.
Rodriguez, Analiz
author_sort Darrigues, Emilie
collection PubMed
description Glioblastoma (GBM) is highly resistant to treatment and invasion into the surrounding brain is a cancer hallmark that leads to recurrence despite surgical resection. With the emergence of precision medicine, patient-derived 3D systems are considered potentially robust GBM preclinical models. In this study, we screened a library of 22 anti-invasive compounds (i.e., NF-kB, GSK-3-B, COX-2, and tubulin inhibitors) using glioblastoma U-251 MG cell spheroids. We evaluated toxicity and invasion inhibition using a 3D Matrigel invasion assay. We next selected three compounds that inhibited invasion and screened them in patient-derived glioblastoma organoids (GBOs). We developed a platform using available macros for FIJI/ImageJ to quantify invasion from the outer margin of organoids. Our data demonstrated that a high-throughput invasion screening can be done using both an established cell line and patient-derived 3D model systems. Tubulin inhibitor compounds had the best efficacy with U-251 MG cells, however, in ex vivo patient organoids the results were highly variable. Our results indicate that the efficacy of compounds is highly related to patient intra and inter-tumor heterogeneity. These results indicate that such models can be used to evaluate personal oncology therapeutic strategies.
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spelling pubmed-85092252021-10-13 Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion Darrigues, Emilie Zhao, Edward H. De Loose, Annick Lee, Madison P. Borrelli, Michael J. Eoff, Robert L. Galileo, Deni S. Penthala, Narsimha R. Crooks, Peter A. Rodriguez, Analiz Int J Mol Sci Article Glioblastoma (GBM) is highly resistant to treatment and invasion into the surrounding brain is a cancer hallmark that leads to recurrence despite surgical resection. With the emergence of precision medicine, patient-derived 3D systems are considered potentially robust GBM preclinical models. In this study, we screened a library of 22 anti-invasive compounds (i.e., NF-kB, GSK-3-B, COX-2, and tubulin inhibitors) using glioblastoma U-251 MG cell spheroids. We evaluated toxicity and invasion inhibition using a 3D Matrigel invasion assay. We next selected three compounds that inhibited invasion and screened them in patient-derived glioblastoma organoids (GBOs). We developed a platform using available macros for FIJI/ImageJ to quantify invasion from the outer margin of organoids. Our data demonstrated that a high-throughput invasion screening can be done using both an established cell line and patient-derived 3D model systems. Tubulin inhibitor compounds had the best efficacy with U-251 MG cells, however, in ex vivo patient organoids the results were highly variable. Our results indicate that the efficacy of compounds is highly related to patient intra and inter-tumor heterogeneity. These results indicate that such models can be used to evaluate personal oncology therapeutic strategies. MDPI 2021-10-03 /pmc/articles/PMC8509225/ /pubmed/34639060 http://dx.doi.org/10.3390/ijms221910720 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Darrigues, Emilie
Zhao, Edward H.
De Loose, Annick
Lee, Madison P.
Borrelli, Michael J.
Eoff, Robert L.
Galileo, Deni S.
Penthala, Narsimha R.
Crooks, Peter A.
Rodriguez, Analiz
Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion
title Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion
title_full Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion
title_fullStr Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion
title_full_unstemmed Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion
title_short Biobanked Glioblastoma Patient-Derived Organoids as a Precision Medicine Model to Study Inhibition of Invasion
title_sort biobanked glioblastoma patient-derived organoids as a precision medicine model to study inhibition of invasion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509225/
https://www.ncbi.nlm.nih.gov/pubmed/34639060
http://dx.doi.org/10.3390/ijms221910720
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