'Slicing' glioblastoma drivers with the Swiss cheese model.
PTEN
aging
hypoxia
interleukin-6
sex differences
tumor microenvironment
Journal
Trends in cancer
ISSN: 2405-8025
Titre abrégé: Trends Cancer
Pays: United States
ID NLM: 101665956
Informations de publication
Date de publication:
23 Aug 2023
23 Aug 2023
Historique:
received:
28
06
2023
revised:
31
07
2023
accepted:
01
08
2023
medline:
26
8
2023
pubmed:
26
8
2023
entrez:
25
8
2023
Statut:
aheadofprint
Résumé
The Swiss cheese model is used to assess risks and explain accidents in a variety of industries. This model can be applied to dissect the homeostatic mechanisms whose cumulative dysregulation contributes to disease states, including cancer. Using glioblastoma (GBM) as an exemplar, we discuss how specific protumorigenic mechanisms collectively drive disease by affecting genomic integrity, epigenetic regulation, metabolic homeostasis, and antitumor immunity. We further highlight how host factors, such as hormonal differences and aging, impact this process, and the interplay between these 'system failures' that enable tumor progression and foster therapeutic resistance. Finally, we examine therapies that consider the interactions between these elements, which may comprise more effective approaches given the multifaceted protumorigenic mechanisms that drive GBM.
Identifiants
pubmed: 37625928
pii: S2405-8033(23)00158-9
doi: 10.1016/j.trecan.2023.08.002
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.