Literature DB >> 18695875

Relevance of MSP assay for the detection of MGMT promoter hypermethylation in glioblastomas.

Kazunari Yachi1, Takao Watanabe, Takashi Ohta, Takao Fukushima, Atsuo Yoshino, Akiyoshi Ogino, Yoichi Katayama, Hiroki Nagase.   

Abstract

O6-Methylguanine-DNA methyltransferase (MGMT) promoter hypermethylation has recently emerged as a powerful determinant of chemotherapy sensitivity in glioblastomas. To adapt such an important epigenetic biomarker to routine application in the clinical setting, we validated the conventionally used methylation-specific polymerase chain reaction (MSP) assay for its relevance in the determination of MGMT methylation status. MGMT promoter hypermethylation analysis employing MSP was performed on 25 primary glioblastoma samples and 7 cell lines, and compared with the more robust direct promoter sequencing that profiled the methylation status of 27 CpG sites within the MGMT promoter. In addition, the MGMT expression at the protein level was evaluated in the primary tumor samples using immunohistochemistry and in the cell lines using Western blotting analysis. Our MSP analyses yielded reproducible results, which were identical to the bisulfite sequencing data in all except one primary tumor that was negative on MSP. A poor correlation existed between the immunohistochemical staining results and the methylation status of the MGMT promoter in primary glioblastoma samples. Neither MSP-MGMT methylation nor immunohistochemical MGMT expression had prognostic implications in this small and non-uniform group of patients. In all of the cell lines with loss of MGMT expression, signals of methylated DNA were detected by MSP. Our data support the feasibility and reliability of MSP analysis, which could be routinely implemented in the diagnostic setting.

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Year:  2008        PMID: 18695875

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  20 in total

1.  Usefulness of MS-MLPA for detection of MGMT promoter methylation in the evaluation of pseudoprogression in glioblastoma patients.

Authors:  Chul-Kee Park; JinWook Kim; Su Youn Yim; Ah Reum Lee; Jung Ho Han; Chae-Yong Kim; Sung-Hye Park; Tae Min Kim; Se-Hoon Lee; Seung Hong Choi; Seung-Ki Kim; Dong Gyu Kim; Hee-Won Jung
Journal:  Neuro Oncol       Date:  2010-11-12       Impact factor: 12.300

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.  Determination of the methylation status of MGMT in different regions within glioblastoma multiforme.

Authors:  Mark G Hamilton; Gloria Roldán; Anthony Magliocco; John B McIntyre; Ian Parney; Jacob C Easaw
Journal:  J Neurooncol       Date:  2010-07-21       Impact factor: 4.130

4.  High-mobility group box 2 is associated with prognosis of glioblastoma by promoting cell viability, invasion, and chemotherapeutic resistance.

Authors:  Zhe Bao Wu; Lin Cai; Shao Jian Lin; Zhen Kun Xiong; Jiang Long Lu; Ying Mao; Yu Yao; Liang Fu Zhou
Journal:  Neuro Oncol       Date:  2013-07-04       Impact factor: 12.300

5.  O⁶-methylguanine-DNA-methyltransferase promoter methylation assessment by microdissection-assisted methylation-specific PCR and high resolution melting analysis in patients with glioblastomas.

Authors:  Seung-Ho Yang; Keun Soo Lee; Hea Jung Yang; Byeong Hwan Jeon; Youn Soo Lee; Suk Woo Nam; Dong-Sup Chung; Sang Won Lee; Yong-Kil Hong
Journal:  J Neurooncol       Date:  2011-07-27       Impact factor: 4.130

6.  O6-Methylguanine DNA methyltransferase protein expression in tumor cells predicts outcome of temozolomide therapy in glioblastoma patients.

Authors:  Sabine Spiegl-Kreinecker; Christine Pirker; Martin Filipits; Daniela Lötsch; Johanna Buchroithner; Josef Pichler; Rene Silye; Serge Weis; Michael Micksche; Johannes Fischer; Walter Berger
Journal:  Neuro Oncol       Date:  2009-10-15       Impact factor: 12.300

7.  Combined analysis of O6-methylguanine-DNA methyltransferase protein expression and promoter methylation provides optimized prognostication of glioblastoma outcome.

Authors:  Shadi Lalezari; Arthur P Chou; Anh Tran; Orestes E Solis; Negar Khanlou; Weidong Chen; Sichen Li; Jose A Carrillo; Reshmi Chowdhury; Julia Selfridge; Desiree E Sanchez; Ryan W Wilson; Mira Zurayk; Jonathan Lalezari; Jerry J Lou; Laurel Ormiston; Karen Ancheta; Robert Hanna; Paul Miller; David Piccioni; Benjamin M Ellingson; Colin Buchanan; Paul S Mischel; Phioanh L Nghiemphu; Richard Green; He-Jing Wang; Whitney B Pope; Linda M Liau; Robert M Elashoff; Timothy F Cloughesy; William H Yong; Albert Lai
Journal:  Neuro Oncol       Date:  2013-01-17       Impact factor: 12.300

8.  Absence of the MGMT protein as well as methylation of the MGMT promoter predict the sensitivity for temozolomide.

Authors:  K A van Nifterik; J van den Berg; W F van der Meide; N Ameziane; L E Wedekind; R D M Steenbergen; S Leenstra; M V M Lafleur; B J Slotman; L J A Stalpers; P Sminia
Journal:  Br J Cancer       Date:  2010-06-01       Impact factor: 7.640

9.  Extent of MGMT promoter methylation correlates with outcome in glioblastomas given temozolomide and radiotherapy.

Authors:  J Dunn; A Baborie; F Alam; K Joyce; M Moxham; R Sibson; D Crooks; D Husband; A Shenoy; A Brodbelt; H Wong; T Liloglou; B Haylock; C Walker
Journal:  Br J Cancer       Date:  2009-06-16       Impact factor: 7.640

10.  MGMT promoter methylation status and MGMT and CD133 immunohistochemical expression as prognostic markers in glioblastoma patients treated with temozolomide plus radiotherapy.

Authors:  Consolación Melguizo; Jose Prados; Beatriz González; Raul Ortiz; Angel Concha; Pablo Juan Alvarez; Roberto Madeddu; Gloria Perazzoli; Jaime Antonio Oliver; Rodrigo López; Fernando Rodríguez-Serrano; Antonia Aránega
Journal:  J Transl Med       Date:  2012-12-17       Impact factor: 5.531

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