Should biomarkers be used to design personalized medicine for the treatment of glioblastoma?

Significant progress has been made in understanding the molecular pathogenesis of gliomas and in predicting general outcome depending on a limited set of clinical parameters and molecular markers. However, methylation of the O6-methylguanine DNA methyltransferase (MGMT) gene promoter is the only mol...

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Bibliographic Details
Main Authors: Weller, Michael (Author) , Wick, Wolfgang (Author) , Hegi, Monika E (Author) , Stupp, Roger (Author) , Tabatabai, Ghazaleh (Author)
Format: Article (Journal)
Language:English
Published: 4 Oct 2010
In: Future oncology
Year: 2010, Volume: 6, Issue: 9, Pages: 1407-1414
ISSN:1744-8301
DOI:10.2217/fon.10.113
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.2217/fon.10.113
Verlag, lizenzpflichtig, Volltext: https://www.futuremedicine.com/doi/10.2217/fon.10.113
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Author Notes:Michael Weller, Wolfgang Wick, Monika E Hegi, Roger Stupp, Ghazaleh Tabatabai
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Summary:Significant progress has been made in understanding the molecular pathogenesis of gliomas and in predicting general outcome depending on a limited set of clinical parameters and molecular markers. However, methylation of the O6-methylguanine DNA methyltransferase (MGMT) gene promoter is the only molecular marker linked to sensitivity of a specific treatment, that is, alkylating agent chemotherapy, and this predictive value may be limited to glioblastoma. Moreover, in the absence of potent alternative drugs, temozolomide chemotherapy should not be withheld from patients with newly diagnosed glioblastoma without MGMT promoter methylation in general practice. In the context of clinical trials, however, irrespective of whether classical cytotoxic drugs, tyrosine kinase inhibitors or antiangiogenic agents are used, tissue should be centrally collected. Appropriate research programs should seek to define enriched patient populations for future trials and ultimately facilitate individualized cancer treatments.
Item Description:Gesehen am 23.10.2023
Physical Description:Online Resource
ISSN:1744-8301
DOI:10.2217/fon.10.113