Modeling Brain Tumors: A Perspective Overview of
Drosophila
cancer
model
mouse
organoid
xenograft
zebrafish
Journal
Frontiers in molecular neuroscience
ISSN: 1662-5099
Titre abrégé: Front Mol Neurosci
Pays: Switzerland
ID NLM: 101477914
Informations de publication
Date de publication:
2022
2022
Historique:
received:
19
11
2021
accepted:
23
03
2022
entrez:
16
6
2022
pubmed:
17
6
2022
medline:
17
6
2022
Statut:
epublish
Résumé
Brain tumors are a large and heterogeneous group of neoplasms that affect the central nervous system and include some of the deadliest cancers. Almost all the conventional and new treatments fail to hinder tumoral growth of the most malignant brain tumors. This is due to multiple factors, such as intra-tumor heterogeneity, the microenvironmental properties of the human brain, and the lack of reliable models to test new therapies. Therefore, creating faithful models for each tumor and discovering tailored treatments pose great challenges in the fight against brain cancer. Over the years, different types of models have been generated, and, in this review, we investigated the advantages and disadvantages of the models currently used.
Identifiants
pubmed: 35706426
doi: 10.3389/fnmol.2022.818696
pmc: PMC9190727
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
818696Informations de copyright
Copyright © 2022 Antonica, Aiello, Soldano, Abballe, Miele and Tiberi.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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