'Slicing' glioblastoma drivers with the Swiss cheese model.
Trends Cancer
; 10(1): 15-27, 2024 01.
Article
em En
| MEDLINE
| ID: mdl-37625928
ABSTRACT
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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Glioblastoma
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Trends Cancer
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos