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

Gagg, H. orcid.org/0000-0003-2763-0304, Williams, S.T., Conroy, S. et al. (9 more authors) (2023) Ex-vivo drug screening of surgically resected glioma stem cells to replace murine avatars and provide personalise cancer therapy for glioblastoma patients. F1000Research, 12. 954. ISSN 2046-1402

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 Gagg H et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/
Keywords: GliExP; Glioblastoma; cancer therapeutics; ex vivo drug screening; functional precision medicine; glioma stem cells; Humans; Animals; Mice; Glioblastoma; Drug Evaluation, Preclinical; Brain Neoplasms; Early Detection of Cancer; Glioma; Neoplastic Stem Cells
Dates:
  • Accepted: 11 July 2023
  • Published (online): 8 August 2023
  • Published: 8 August 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > The Medical School (Sheffield) > Division of Genomic Medicine (Sheffield) > Department of Oncology and Metabolism (Sheffield)
Funding Information:
FunderGrant number
National Centre for the Replacement, Refinement and Reduction of Animals in ResearchNC/T002093/1
NATIONAL CENTRE FOR THE REPLACEMENT, REFINEMENT AND REDUCTION OF ANIMALS IN RESEARCHNC/T001895/1
National Centre for the Replacement Refinement and Reduction of Animals in ResearchNC/T002093/1
Depositing User: Symplectic Sheffield
Date Deposited: 30 Nov 2023 15:57
Last Modified: 30 Nov 2023 15:57
Status: Published
Publisher: F1000 Research Ltd
Refereed: Yes
Identification Number: https://doi.org/10.12688/f1000research.135809.1
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