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A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma

Glioblastoma is one of the most common and lethal types of primary brain tumor. Despite aggressive treatment with chemotherapy and radiotherapy, tumor recurrence within 6–9 months is common. To overcome this, more effective therapies targeting cancer cell stemness, invasion, metabolism, cell death r...

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Autores principales: Lenin, Sakthi, Ponthier, Elise, Scheer, Kaitlin G., Yeo, Erica C. F., Tea, Melinda N., Ebert, Lisa M., Oksdath Mansilla, Mariana, Poonnoose, Santosh, Baumgartner, Ulrich, Day, Bryan W., Ormsby, Rebecca J., Pitson, Stuart M., Gomez, Guillermo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122466/
https://www.ncbi.nlm.nih.gov/pubmed/33919246
http://dx.doi.org/10.3390/ijms22094322
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author Lenin, Sakthi
Ponthier, Elise
Scheer, Kaitlin G.
Yeo, Erica C. F.
Tea, Melinda N.
Ebert, Lisa M.
Oksdath Mansilla, Mariana
Poonnoose, Santosh
Baumgartner, Ulrich
Day, Bryan W.
Ormsby, Rebecca J.
Pitson, Stuart M.
Gomez, Guillermo A.
author_facet Lenin, Sakthi
Ponthier, Elise
Scheer, Kaitlin G.
Yeo, Erica C. F.
Tea, Melinda N.
Ebert, Lisa M.
Oksdath Mansilla, Mariana
Poonnoose, Santosh
Baumgartner, Ulrich
Day, Bryan W.
Ormsby, Rebecca J.
Pitson, Stuart M.
Gomez, Guillermo A.
author_sort Lenin, Sakthi
collection PubMed
description Glioblastoma is one of the most common and lethal types of primary brain tumor. Despite aggressive treatment with chemotherapy and radiotherapy, tumor recurrence within 6–9 months is common. To overcome this, more effective therapies targeting cancer cell stemness, invasion, metabolism, cell death resistance and the interactions of tumor cells with their surrounding microenvironment are required. In this study, we performed a systematic review of the molecular mechanisms that drive glioblastoma progression, which led to the identification of 65 drugs/inhibitors that we screened for their efficacy to kill patient-derived glioma stem cells in two dimensional (2D) cultures and patient-derived three dimensional (3D) glioblastoma explant organoids (GBOs). From the screening, we found a group of drugs that presented different selectivity on different patient-derived in vitro models. Moreover, we found that Costunolide, a TERT inhibitor, was effective in reducing the cell viability in vitro of both primary tumor models as well as tumor models pre-treated with chemotherapy and radiotherapy. These results present a novel workflow for screening a relatively large groups of drugs, whose results could lead to the identification of more personalized and effective treatment for recurrent glioblastoma.
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spelling pubmed-81224662021-05-16 A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma Lenin, Sakthi Ponthier, Elise Scheer, Kaitlin G. Yeo, Erica C. F. Tea, Melinda N. Ebert, Lisa M. Oksdath Mansilla, Mariana Poonnoose, Santosh Baumgartner, Ulrich Day, Bryan W. Ormsby, Rebecca J. Pitson, Stuart M. Gomez, Guillermo A. Int J Mol Sci Article Glioblastoma is one of the most common and lethal types of primary brain tumor. Despite aggressive treatment with chemotherapy and radiotherapy, tumor recurrence within 6–9 months is common. To overcome this, more effective therapies targeting cancer cell stemness, invasion, metabolism, cell death resistance and the interactions of tumor cells with their surrounding microenvironment are required. In this study, we performed a systematic review of the molecular mechanisms that drive glioblastoma progression, which led to the identification of 65 drugs/inhibitors that we screened for their efficacy to kill patient-derived glioma stem cells in two dimensional (2D) cultures and patient-derived three dimensional (3D) glioblastoma explant organoids (GBOs). From the screening, we found a group of drugs that presented different selectivity on different patient-derived in vitro models. Moreover, we found that Costunolide, a TERT inhibitor, was effective in reducing the cell viability in vitro of both primary tumor models as well as tumor models pre-treated with chemotherapy and radiotherapy. These results present a novel workflow for screening a relatively large groups of drugs, whose results could lead to the identification of more personalized and effective treatment for recurrent glioblastoma. MDPI 2021-04-21 /pmc/articles/PMC8122466/ /pubmed/33919246 http://dx.doi.org/10.3390/ijms22094322 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
Lenin, Sakthi
Ponthier, Elise
Scheer, Kaitlin G.
Yeo, Erica C. F.
Tea, Melinda N.
Ebert, Lisa M.
Oksdath Mansilla, Mariana
Poonnoose, Santosh
Baumgartner, Ulrich
Day, Bryan W.
Ormsby, Rebecca J.
Pitson, Stuart M.
Gomez, Guillermo A.
A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma
title A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma
title_full A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma
title_fullStr A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma
title_full_unstemmed A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma
title_short A Drug Screening Pipeline Using 2D and 3D Patient-Derived In Vitro Models for Pre-Clinical Analysis of Therapy Response in Glioblastoma
title_sort drug screening pipeline using 2d and 3d patient-derived in vitro models for pre-clinical analysis of therapy response in glioblastoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122466/
https://www.ncbi.nlm.nih.gov/pubmed/33919246
http://dx.doi.org/10.3390/ijms22094322
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