Transitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3D cell-based models: A systematic scoping review

Glioblastoma (GBM) remains incurable despite the overwhelming discovery of 2-dimensional (2D) cell-based potential therapeutics since the majority of them have met unsatisfactory results in animal and clinical settings. Incremental empirical evidence has laid the widespread need of transitioning 2D...

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Autores principales: Brandon Wee Siang Phon, Muhamad N.A. Kamarudin, Saatheeyavaane Bhuvanendran, Ammu K. Radhakrishnan
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Publicado: Elsevier 2022
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spelling oai:doaj.org-article:22078187bebb4e2f852bcf6562545ce02021-11-12T04:25:32ZTransitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3D cell-based models: A systematic scoping review0753-332210.1016/j.biopha.2021.112396https://doaj.org/article/22078187bebb4e2f852bcf6562545ce02022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S0753332221011823https://doaj.org/toc/0753-3322Glioblastoma (GBM) remains incurable despite the overwhelming discovery of 2-dimensional (2D) cell-based potential therapeutics since the majority of them have met unsatisfactory results in animal and clinical settings. Incremental empirical evidence has laid the widespread need of transitioning 2D to 3-dimensional (3D) cultures that better mimic GBM’s complex and heterogenic nature to allow better translation of pre-clinical results. This systematic scoping review analyses the transcriptomic data involving 3D models of GBM against 2D models from 22 studies identified from four databases (PubMed, ScienceDirect, Medline, and Embase). From a total of 499 genes reported in these studies, 313 (63%) genes were upregulated across 3D models cultured using different scaffolds. Our analysis showed that 4 of the replicable upregulated genes are associated with GBM stemness, epithelial to mesenchymal transition (EMT), hypoxia, and migration-related genes regardless of the type of scaffolds, displaying close resemblances to primitive undifferentiated tumour phenotypes that are associated with decreased overall survival and increased hazard ratio in GBM patients. The upregulation of drug response and drug efflux genes (e.g. cytochrome P450s and ABC transporters) mirrors the GBM genetic landscape that contributes to in vivo and clinical treatment resistance. These upregulated genes displayed strong protein-protein interactions when analysed using an online bioinformatics software (STRING). These findings reinforce the need for widespread transition to 3D GBM models as a relatively inexpensive humanised pre-clinical tool with suitable genetic biomarkers to bridge clinical gaps in potential therapeutic evaluations.Brandon Wee Siang PhonMuhamad N.A. KamarudinSaatheeyavaane BhuvanendranAmmu K. RadhakrishnanElsevierarticle3D CultureGlioblastomaBiodegradable and non-biodegradable scaffoldsGBM MotilityDrug resistance metabolismStemnessTherapeutics. PharmacologyRM1-950ENBiomedicine & Pharmacotherapy, Vol 145, Iss , Pp 112396- (2022)
institution DOAJ
collection DOAJ
language EN
topic 3D Culture
Glioblastoma
Biodegradable and non-biodegradable scaffolds
GBM Motility
Drug resistance metabolism
Stemness
Therapeutics. Pharmacology
RM1-950
spellingShingle 3D Culture
Glioblastoma
Biodegradable and non-biodegradable scaffolds
GBM Motility
Drug resistance metabolism
Stemness
Therapeutics. Pharmacology
RM1-950
Brandon Wee Siang Phon
Muhamad N.A. Kamarudin
Saatheeyavaane Bhuvanendran
Ammu K. Radhakrishnan
Transitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3D cell-based models: A systematic scoping review
description Glioblastoma (GBM) remains incurable despite the overwhelming discovery of 2-dimensional (2D) cell-based potential therapeutics since the majority of them have met unsatisfactory results in animal and clinical settings. Incremental empirical evidence has laid the widespread need of transitioning 2D to 3-dimensional (3D) cultures that better mimic GBM’s complex and heterogenic nature to allow better translation of pre-clinical results. This systematic scoping review analyses the transcriptomic data involving 3D models of GBM against 2D models from 22 studies identified from four databases (PubMed, ScienceDirect, Medline, and Embase). From a total of 499 genes reported in these studies, 313 (63%) genes were upregulated across 3D models cultured using different scaffolds. Our analysis showed that 4 of the replicable upregulated genes are associated with GBM stemness, epithelial to mesenchymal transition (EMT), hypoxia, and migration-related genes regardless of the type of scaffolds, displaying close resemblances to primitive undifferentiated tumour phenotypes that are associated with decreased overall survival and increased hazard ratio in GBM patients. The upregulation of drug response and drug efflux genes (e.g. cytochrome P450s and ABC transporters) mirrors the GBM genetic landscape that contributes to in vivo and clinical treatment resistance. These upregulated genes displayed strong protein-protein interactions when analysed using an online bioinformatics software (STRING). These findings reinforce the need for widespread transition to 3D GBM models as a relatively inexpensive humanised pre-clinical tool with suitable genetic biomarkers to bridge clinical gaps in potential therapeutic evaluations.
format article
author Brandon Wee Siang Phon
Muhamad N.A. Kamarudin
Saatheeyavaane Bhuvanendran
Ammu K. Radhakrishnan
author_facet Brandon Wee Siang Phon
Muhamad N.A. Kamarudin
Saatheeyavaane Bhuvanendran
Ammu K. Radhakrishnan
author_sort Brandon Wee Siang Phon
title Transitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3D cell-based models: A systematic scoping review
title_short Transitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3D cell-based models: A systematic scoping review
title_full Transitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3D cell-based models: A systematic scoping review
title_fullStr Transitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3D cell-based models: A systematic scoping review
title_full_unstemmed Transitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3D cell-based models: A systematic scoping review
title_sort transitioning pre-clinical glioblastoma models to clinical settings with biomarkers identified in 3d cell-based models: a systematic scoping review
publisher Elsevier
publishDate 2022
url https://doaj.org/article/22078187bebb4e2f852bcf6562545ce0
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