Optimizing preclinical pediatric low-grade glioma models for meaningful clinical translation.
Neuro Oncol
; 25(11): 1920-1931, 2023 11 02.
Article
en En
| MEDLINE
| ID: mdl-37738646
ABSTRACT
Pediatric low-grade gliomas (pLGGs) are the most common brain tumor in young children. While they are typically associated with good overall survival, children with these central nervous system tumors often experience chronic tumor- and therapy-related morbidities. Moreover, individuals with unresectable tumors frequently have multiple recurrences and persistent neurological symptoms. Deep molecular analyses of pLGGs reveal that they are caused by genetic alterations that converge on a single mitogenic pathway (MEK/ERK), but their growth is heavily influenced by nonneoplastic cells (neurons, T cells, microglia) in their local microenvironment. The interplay between neoplastic cell MEK/ERK pathway activation and stromal cell support necessitates the use of predictive preclinical models to identify the most promising drug candidates for clinical evaluation. As part of a series of white papers focused on pLGGs, we discuss the current status of preclinical pLGG modeling, with the goal of improving clinical translation for children with these common brain tumors.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neoplasias Encefálicas
/
Glioma
Tipo de estudio:
Prognostic_studies
Límite:
Child
/
Child, preschool
/
Humans
Idioma:
En
Revista:
Neuro Oncol
Asunto de la revista:
NEOPLASIAS
/
NEUROLOGIA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Alemania