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Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients

With diminishing returns and high clinical failure rates from traditional preclinical and animal-based drug discovery strategies, more emphasis is being placed on alternative drug discovery platforms. Ex vivo approaches represent a departure from both more traditional preclinical animal-based models...

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Autores principales: Gagg, Hannah, Williams, Sophie T., Conroy, Samantha, Myers, Katie N., McGarrity-Cottrell, Connor, Jones, Callum, Helleday, Thomas, Rantala, Juha, Rominiyi, Ola, Danson, Sarah J., Collis, Spencer J., Wells, Greg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548111/
https://www.ncbi.nlm.nih.gov/pubmed/37799492
http://dx.doi.org/10.12688/f1000research.135809.1
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author Gagg, Hannah
Williams, Sophie T.
Conroy, Samantha
Myers, Katie N.
McGarrity-Cottrell, Connor
Jones, Callum
Helleday, Thomas
Rantala, Juha
Rominiyi, Ola
Danson, Sarah J.
Collis, Spencer J.
Wells, Greg
author_facet Gagg, Hannah
Williams, Sophie T.
Conroy, Samantha
Myers, Katie N.
McGarrity-Cottrell, Connor
Jones, Callum
Helleday, Thomas
Rantala, Juha
Rominiyi, Ola
Danson, Sarah J.
Collis, Spencer J.
Wells, Greg
author_sort Gagg, Hannah
collection PubMed
description With diminishing returns and high clinical failure rates from traditional preclinical and animal-based drug discovery strategies, more emphasis is being placed on alternative drug discovery platforms. Ex vivo approaches represent a departure from both more traditional preclinical animal-based models and clinical-based strategies and aim to address intra-tumoural and inter-patient variability at an earlier stage of drug discovery. Additionally, these approaches could also offer precise treatment stratification for patients within a week of tumour resection in order to direct tailored therapy. One tumour group that could significantly benefit from such ex vivo approaches are high-grade gliomas, which exhibit extensive heterogeneity, cellular plasticity and therapy-resistant glioma stem cell (GSC) niches. Historic use of murine-based preclinical models for these tumours has largely failed to generate new therapies, resulting in relatively stagnant and unacceptable survival rates of around 12-15 months post-diagnosis over the last 50 years. The near universal use of DNA damaging chemoradiotherapy after surgical resection within standard-of-care (SoC) therapy regimens provides an opportunity to improve current treatments if we can identify efficient drug combinations in preclinical models that better reflect the complex inter-/intra-tumour heterogeneity, GSC plasticity and inherent DNA damage resistance mechanisms. We have therefore developed and optimised a high-throughput ex vivo drug screening platform; GliExP, which maintains GSC populations using immediately dissociated fresh surgical tissue. As a proof-of-concept for GliExP, we have optimised SoC therapy responses and screened 30+ small molecule therapeutics and preclinical compounds against tumours from 18 different patients, including multi-region spatial heterogeneity sampling from several individual tumours. Our data therefore provides a strong basis to build upon GliExP to incorporate combination-based oncology therapeutics in tandem with SoC therapies as an important preclinical alternative to murine models (reduction and replacement) to triage experimental therapeutics for clinical translation and deliver rapid identification of effective treatment strategies for individual gliomas.
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spelling pubmed-105481112023-10-05 Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients Gagg, Hannah Williams, Sophie T. Conroy, Samantha Myers, Katie N. McGarrity-Cottrell, Connor Jones, Callum Helleday, Thomas Rantala, Juha Rominiyi, Ola Danson, Sarah J. Collis, Spencer J. Wells, Greg F1000Res Method Article With diminishing returns and high clinical failure rates from traditional preclinical and animal-based drug discovery strategies, more emphasis is being placed on alternative drug discovery platforms. Ex vivo approaches represent a departure from both more traditional preclinical animal-based models and clinical-based strategies and aim to address intra-tumoural and inter-patient variability at an earlier stage of drug discovery. Additionally, these approaches could also offer precise treatment stratification for patients within a week of tumour resection in order to direct tailored therapy. One tumour group that could significantly benefit from such ex vivo approaches are high-grade gliomas, which exhibit extensive heterogeneity, cellular plasticity and therapy-resistant glioma stem cell (GSC) niches. Historic use of murine-based preclinical models for these tumours has largely failed to generate new therapies, resulting in relatively stagnant and unacceptable survival rates of around 12-15 months post-diagnosis over the last 50 years. The near universal use of DNA damaging chemoradiotherapy after surgical resection within standard-of-care (SoC) therapy regimens provides an opportunity to improve current treatments if we can identify efficient drug combinations in preclinical models that better reflect the complex inter-/intra-tumour heterogeneity, GSC plasticity and inherent DNA damage resistance mechanisms. We have therefore developed and optimised a high-throughput ex vivo drug screening platform; GliExP, which maintains GSC populations using immediately dissociated fresh surgical tissue. As a proof-of-concept for GliExP, we have optimised SoC therapy responses and screened 30+ small molecule therapeutics and preclinical compounds against tumours from 18 different patients, including multi-region spatial heterogeneity sampling from several individual tumours. Our data therefore provides a strong basis to build upon GliExP to incorporate combination-based oncology therapeutics in tandem with SoC therapies as an important preclinical alternative to murine models (reduction and replacement) to triage experimental therapeutics for clinical translation and deliver rapid identification of effective treatment strategies for individual gliomas. F1000 Research Limited 2023-08-08 /pmc/articles/PMC10548111/ /pubmed/37799492 http://dx.doi.org/10.12688/f1000research.135809.1 Text en Copyright: © 2023 Gagg H et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method Article
Gagg, Hannah
Williams, Sophie T.
Conroy, Samantha
Myers, Katie N.
McGarrity-Cottrell, Connor
Jones, Callum
Helleday, Thomas
Rantala, Juha
Rominiyi, Ola
Danson, Sarah J.
Collis, Spencer J.
Wells, Greg
Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients
title Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients
title_full Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients
title_fullStr Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients
title_full_unstemmed Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients
title_short Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients
title_sort ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548111/
https://www.ncbi.nlm.nih.gov/pubmed/37799492
http://dx.doi.org/10.12688/f1000research.135809.1
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