Literature DB >> 20428822

Prognostic value of MGMT promoter methylation in glioblastoma patients treated with temozolomide-based chemoradiation: a Portuguese multicentre study.

Bruno M Costa1, Cláudia Caeiro, Inês Guimarães, Olga Martinho, Teresa Jaraquemada, Isabel Augusto, Lígia Castro, Lígia Osório, Paulo Linhares, Mrinalini Honavar, Mário Resende, Fátima Braga, Ana Silva, Fernando Pardal, Júlia Amorim, Rui Nabiço, Rui Almeida, Carlos Alegria, Manuel Pires, Célia Pinheiro, Ernesto Carvalho, José M Lopes, Paulo Costa, Margarida Damasceno, Rui M Reis.   

Abstract

Glioblastoma (GBM) is the most common and aggressive primary brain tumor. The identification of novel molecular prognostic markers of GBM has recently been an area of great interest in neuro-oncology. The methylation status of the MGMT gene promoter is currently a promising molecular prognostic marker, but some controversial data have precluded its clinical use. We analyzed MGMT methylation by methylation-specific PCR in 90 GBM patients from four Portuguese hospitals, uniformly treated with radiotherapy combined with concomitant and adjuvant temozolomide (Stupp protocol). The Kaplan-Meier method was used to construct survival curves, and the log-rank test and a Cox-regression model were used to analyze patient survival. The methylation status of MGMT was successfully determined in 89% (80/90) of the tumors. The frequency of tumoral MGMT promoter methylation was 47.5%. The median overall survivals (OSs) were 16 months (95% CI 12.2-19.8) and 13 months (95% CI 13.3-18.7) for patients whose tumors had a methylated or unmethylated MGMT, respectively. Univariate and multivariate analyses did not show any statistically significant association between MGMT methylation status and patient OS (P=0.583 by the log-rank test; P=0.617 by the Cox-regression test) or progression-free survival (P=0.775 by the log-rank test; P=0.691 by the Cox-regression test). None of the patient clinical features were significantly correlated with survival. This is the first study to report the frequency of MGMT methylation among Portuguese GBM patients. Our data did not show statistically significant associations between MGMT promoter methylation and the outcome of GBM patients treated with temozolomide. Additional robust prospective studies are warranted to clarify whether the MGMT status should be used in clinical decisions.

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Year:  2010        PMID: 20428822     DOI: 10.3892/or_00000808

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  32 in total

1.  Differential molecular genetic analysis in glioblastoma multiforme of long- and short-term survivors: a clinical study in Chinese patients.

Authors:  Guo-Bin Zhang; Xiang-Li Cui; Da-Li Sui; Xiao-Hui Ren; Zhe Zhang; Zhong-Cheng Wang; Song Lin
Journal:  J Neurooncol       Date:  2013-03-15       Impact factor: 4.130

Review 2.  MGMT testing allows for personalised therapy in the temozolomide era.

Authors:  A Dullea; L Marignol
Journal:  Tumour Biol       Date:  2015-10-30

3.  Pentavalent technetium-99m-dimercaptosuccinic acid [Tc-99m (V) DMSA] brain SPECT: does it have a place in predicting survival in patients with glioblastoma multiforme?

Authors:  Amr Amin; M Mustafa; E Abd El-Hadi; A Monier; A Badwey; E Saad
Journal:  J Neurooncol       Date:  2014-10-28       Impact factor: 4.130

4.  A novel approach to the discovery of survival biomarkers in glioblastoma using a joint analysis of DNA methylation and gene expression.

Authors:  Ashley A Smith; Yen-Tsung Huang; Melissa Eliot; E Andres Houseman; Carmen J Marsit; John K Wiencke; Karl T Kelsey
Journal:  Epigenetics       Date:  2014-03-26       Impact factor: 4.528

5.  The prognosis of MGMT promoter methylation in glioblastoma patients of different race: a meta-analysis.

Authors:  Haiyu Yang; Danping Wei; Kunxian Yang; Wenru Tang; Ying Luo; Jihong Zhang
Journal:  Neurochem Res       Date:  2014-09-18       Impact factor: 3.996

6.  Predictive value of MGMT promoter methylation status in Asian and Caucasian patients with malignant gliomas: a meta-analysis.

Authors:  Chao Chen; Feng Wang; Yuan Cheng; Yin Cheng; Xueying Ren; Haiqing Huai
Journal:  Int J Clin Exp Med       Date:  2015-04-15

Review 7.  Opportunities and challenges for selected emerging technologies in cancer epidemiology: mitochondrial, epigenomic, metabolomic, and telomerase profiling.

Authors:  Mukesh Verma; Muin J Khoury; John P A Ioannidis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-12-14       Impact factor: 4.254

8.  Treatment Patterns, Survival, and Healthcare Costs of Patients with Malignant Gliomas in a Large US Commercially Insured Population.

Authors:  Saurabh Ray; Machaon M Bonafede; Nimish A Mohile
Journal:  Am Health Drug Benefits       Date:  2014-05

Review 9.  Molecular prognostic factors in glioblastoma: state of the art and future challenges.

Authors:  Ana Xavier-Magalhães; Meera Nandhabalan; Chris Jones; Bruno M Costa
Journal:  CNS Oncol       Date:  2013-11

10.  The prognostic value of MGMT promoter methylation in Glioblastoma multiforme: a meta-analysis.

Authors:  Kui Zhang; Xiao-qin Wang; Bin Zhou; Lin Zhang
Journal:  Fam Cancer       Date:  2013-09       Impact factor: 2.375

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