Publication: MGMT analysis at DNA, RNA and protein levels in glioblastoma tissue
Loading...
Date
2009
Authors
Preusser, Matthias
item.page.secondaryauthor
item.page.director
Publisher
Murcia : F. Hernández
publication.page.editor
publication.page.department
DOI
item.page.type
info:eu-repo/semantics/article
Description
Abstract
Evidence from several studies supports that
the epigenetic, transcriptional and translational
regulation and expression of O6-methylguaninemethyltransferase
(MGMT) is relevant for prognostic
and predictive considerations in glioblastoma patients.
MGMT status is being used as a stratifying factor or
eligibility criterion in ongoing and accruing clinical
glioblastoma trials. In some cases, there is also interest
in MGMT assessment of glioblastoma tissue in the dayto-
day clinical setting. However, a number of different
methods and protocols have been used for MGMT
analysis and it is unclear which methods harbour the
greatest potential for translation into routine clinical use.
This article reviews methods that have been used for
MGMT assessment at DNA-, RNA- and protein-level in
glioblastoma with a focus on their potential clinical
utility. Conclusions. (1) DNA-based methods for MGMT
analysis seem more promising for translation into the
clinical setting than RNA- or protein-based methods.
However, at present there is lack of data to base
recommendations for a specific method or protocol for
MGMT testing on. There is a strong need for systematic
comparisons and validation of intra- and interlaboratory reproducibility and clinical performance of different
methods for MGMT assessment to identify the best
method for clinical MGMT testing. (2) The current
practice of formalin-fixation of neurosurgical specimens
considerably limits the spectrum of methods that can be
applied for molecular diagnosis in clinical neurooncology.
Further studies may be helpful to establish
more appropriate protocols for tumour tissue
preservation (e.g. identification of alternative fixatives
that do not deteriorate DNA and RNA quality).
publication.page.subject
Citation
item.page.embargo
Ir a Estadísticas
Sin licencia Creative Commons.