Temozolomide Induced Hypermutation in Glioma: Evolutionary Mechanisms and Therapeutic Opportunities.

MGMT glioma hypermutation recurrence temozolomide

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2019
Historique:
received: 26 11 2018
accepted: 16 01 2019
entrez: 20 2 2019
pubmed: 20 2 2019
medline: 20 2 2019
Statut: epublish

Résumé

Glioma are the most common type of malignant brain tumor, with glioblastoma (GBM) representing the most common and most lethal type of glioma. Surgical resection followed by radiotherapy and chemotherapy using the alkylating agent Temozolomide (TMZ) remain the mainstay of treatment for glioma. While this multimodal regimen is sufficient to temporarily eliminate the bulk of the tumor mass, recurrence is inevitable and often poses major challenges for clinical management due to treatment resistance and failure to respond to targeted therapies. Improved tumor profiling capacity has enabled characterization of the genomic landscape of gliomas with the overarching goal to identify clinically relevant subtypes and inform treatment decisions. Increased tumor mutational load has been shown to correlate with higher levels of neoantigens and is indicative of the potential to induce a durable response to immunotherapy. Following treatment with TMZ, a subset of glioma has been identified to recur with increased tumor mutational load. These hypermutant recurrent glioma represent a subtype of recurrence with unique molecular vulnerabilities. In this review, we will elaborate on the current knowledge regarding the evolution of hypermutation in gliomas and the potential therapeutic opportunities that arise with TMZ-induced hypermutation in gliomas.

Identifiants

pubmed: 30778375
doi: 10.3389/fonc.2019.00041
pmc: PMC6369148
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

41

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Auteurs

Paul Daniel (P)

Division of Radiation Oncology, Department of Oncology, McGill University, Montréal, QC, Canada.

Siham Sabri (S)

Department of Pathology, McGill University, Montréal, QC, Canada.
Research Institute of the McGill University Health Centre, Montréal, QC, Canada.

Ahmad Chaddad (A)

Division of Radiation Oncology, Department of Oncology, McGill University, Montréal, QC, Canada.
The Laboratory for Imagery, Vision and Artificial Intelligence, École de Technologie Supérieure, Montréal, QC, Canada.

Brian Meehan (B)

Department of Pediatrics, McGill University, Montréal, QC, Canada.

Bertrand Jean-Claude (B)

Research Institute of the McGill University Health Centre, Montréal, QC, Canada.
Department of Medicine, McGill University, Montréal, QC, Canada.

Janusz Rak (J)

Research Institute of the McGill University Health Centre, Montréal, QC, Canada.
Department of Pediatrics, McGill University, Montréal, QC, Canada.

Bassam S Abdulkarim (BS)

Division of Radiation Oncology, Department of Oncology, McGill University, Montréal, QC, Canada.
Research Institute of the McGill University Health Centre, Montréal, QC, Canada.

Classifications MeSH