Targeting drug resistance in glioblastoma (Review).


Journal

International journal of oncology
ISSN: 1791-2423
Titre abrégé: Int J Oncol
Pays: Greece
ID NLM: 9306042

Informations de publication

Date de publication:
Aug 2024
Historique:
received: 21 05 2022
accepted: 16 05 2024
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 12 7 2024
Statut: ppublish

Résumé

Glioblastoma (GBM) is the most common malignancy of the central nervous system in adults. The current standard of care includes surgery, radiation therapy, temozolomide; and tumor‑treating fields leads to dismal overall survival. There are far limited treatments upon recurrence. Therapies to date are ineffective as a result of several factors, including the presence of the blood‑brain barrier, blood tumor barrier, glioma stem‑like cells and genetic heterogeneity in GBM. In the present review, the potential mechanisms that lead to treatment resistance in GBM and the measures which have been taken so far to attempt to overcome the resistance were discussed. The complex biology of GBM and lack of comprehensive understanding of the development of therapeutic resistance in GBM demands discovery of novel antigens that are targetable and provide effective therapeutic strategies.

Identifiants

pubmed: 38994761
doi: 10.3892/ijo.2024.5668
pii: 80
doi:
pii:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jonathan H Sherman (JH)

Department of Neurosurgery, Rockefeller Neuroscience Institute, West Virginia University, Martinsburg, WV 25401, USA.

Adam Bobak (A)

Department of Biology, Seton Hill University, Greensburg, PA 15601, USA.

Tasneem Arsiwala (T)

Department of Basic Pharmaceutical Sciences, School of Pharmacy, West Virginia University, Morgantown, WV 26506, USA.

Paul Lockman (P)

Department of Basic Pharmaceutical Sciences, School of Pharmacy, West Virginia University, Morgantown, WV 26506, USA.

Sonikpreet Aulakh (S)

Section of Hematology/Oncology, Department of Internal Medicine, West Virginia University, Morgantown, WV 26506, USA.

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Classifications MeSH