Literature DB >> 29103769

Comparative assessment of three methods to analyze MGMT methylation status in a series of 350 gliomas and gangliogliomas.

Leiming Wang1, Zhuo Li1, Cuicui Liu1, Li Chen1, Li Liu1, Zeliang Hu1, Lihong Zhao1, Dehong Lu1, Lianghong Teng2.   

Abstract

MGMT promoter methylation is considered as a prognostic and predictive biomarker indicating response to chemotherapy and radiotherapy in glioblastoma. A number of different methods and platforms including pyrosequencing (PSQ), quantitative methylation-specific PCR (qMSP) and immunohistochemistry (IHC), methylation-sensitive high resolution melting (MS-HRM) and NGS (Next Generation Sequencing) have been used to detect MGMT promoter methylation in gliomas. However, controversy remains about the most appropriate method to use for analyzing MGMT status. The MGMT promoter methylation status of a total of 350 gliomas and gangliogliomas was examined using PSQ, qMSP and IHC in parallel. Using PSQ as a recommended standard method, the sensitivity, specificity, positive/negative predictive value and correlation with the other assays were calculated. Among 350 glioma and ganglioglioma cases, the MGMT promoter tested positive for methylation in 53.1%, 55.4%, and 70.3% of the cases by PSQ, qMSP and IHC, respectively. The sensitivity and specificity of qMSP were 97.8% and 92.7%, respectively. Twelve cases that tested positive for methylation using qMSP were negative according to PSQ, and four cases that were negative according to qMSP tested positive according to PSQ. The concordance rate between PSQ and qMSP was 90.8%. The sensitivity and specificity of IHC for the detection of MGMT at the protein level were 84.4% and 45.7%, respectively. The concordance rate between PSQ and IHC was 30.8%. This study demonstrated that qMSP is an effective and rapid detection method for routine use in pathology laboratories for the identification of MGMT promoter methylation. A combination of IHC and qMSP assays can provide high sensitivity and specificity for the prediction of MGMT status. A few cases that tested negative with PSQ did harbor MGMT promoter methylation, as confirmed by qMSP and sequencing, and this subgroup of patients may benefit from temozolomide.
Copyright © 2017. Published by Elsevier GmbH.

Entities:  

Keywords:  Glioma; Immunohistochemistry; MGMT; Methylation; Pyrosequencing

Mesh:

Substances:

Year:  2017        PMID: 29103769     DOI: 10.1016/j.prp.2017.10.007

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  13 in total

1.  Low MGMT digital expression is associated with a better outcome of IDH1 wildtype glioblastomas treated with temozolomide.

Authors:  Isabella Gomes; Daniel Antunes Moreno; Mariana Bisarro Dos Reis; Luciane Sussuchi da Silva; Letícia Ferro Leal; Gisele Melo Gonçalves; Caio Augusto Pereira; Marco Antônio Oliveira; Marcus de Medeiros Matsushita; Rui Manuel Reis
Journal:  J Neurooncol       Date:  2021-01-05       Impact factor: 4.130

Review 2.  MGMT Status as a Clinical Biomarker in Glioblastoma.

Authors:  Madison Butler; Lorinc Pongor; Yu-Ting Su; Liqiang Xi; Mark Raffeld; Martha Quezado; Jane Trepel; Kenneth Aldape; Yves Pommier; Jing Wu
Journal:  Trends Cancer       Date:  2020-03-27

3.  MGMT promoter methylation status shows no effect on [18F]FET uptake and CBF in gliomas: a stereotactic image-based histological validation study.

Authors:  Shuangshuang Song; Yi Shan; Leiming Wang; Ye Cheng; Hongwei Yang; Guoguang Zhao; Zhenguang Wang; Jie Lu
Journal:  Eur Radiol       Date:  2022-02-22       Impact factor: 7.034

4.  Molecular Biomarker Testing for the Diagnosis of Diffuse Gliomas.

Authors:  Daniel J Brat; Kenneth Aldape; Julia A Bridge; Peter Canoll; Howard Colman; Meera R Hameed; Brent T Harris; Eyas M Hattab; Jason T Huse; Robert B Jenkins; Dolores H Lopez-Terrada; William C McDonald; Fausto J Rodriguez; Lesley H Souter; Carol Colasacco; Nicole E Thomas; Michelle Hawks Yount; Martin J van den Bent; Arie Perry
Journal:  Arch Pathol Lab Med       Date:  2022-05-01       Impact factor: 5.686

5.  Predicting Individual Prognosis and Grade of Patients with Glioma Based on Preoperative Eosinophil and Neutrophil-to-Lymphocyte Ratio.

Authors:  Xu Zhang; Can Li; Lifei Xiao; Caibin Gao; Wei Zhao; Maolin Yang; Tao Sun; Feng Wang
Journal:  Cancer Manag Res       Date:  2020-07-14       Impact factor: 3.989

6.  Diagnostic Accuracy of Immunohistochemistry in Detecting MGMT Methylation Status in Patients with Glioma.

Authors:  Nita Sahara; Rachmat Andi Hartanto; Naomi Yoshuantari; Kusumo Dananjoyo; Irianiwati Widodo; Rusdy Ghazali Malueka; Ery Kus Dwianingsih
Journal:  Asian Pac J Cancer Prev       Date:  2021-12-01

7.  Preferential MGMT methylation could predispose a subset of KIT/PDGFRA-WT GISTs, including SDH-deficient ones, to respond to alkylating agents.

Authors:  Riccardo Ricci; Maurizio Martini; Gloria Ravegnini; Tonia Cenci; Massimo Milione; Paola Lanza; Francesco Pierconti; Donatella Santini; Sabrina Angelini; Alberto Biondi; Fausto Rosa; Sergio Alfieri; Gennaro Clemente; Roberto Persiani; Alessandra Cassano; Maria A Pantaleo; Luigi M Larocca
Journal:  Clin Epigenetics       Date:  2019-01-07       Impact factor: 6.551

8.  Do we really know who has an MGMT methylated glioma? Results of an international survey regarding use of MGMT analyses for glioma.

Authors:  Annika Malmström; Małgorzata Łysiak; Bjarne Winther Kristensen; Elizabeth Hovey; Roger Henriksson; Peter Söderkvist
Journal:  Neurooncol Pract       Date:  2019-09-24

Review 9.  O6-Methylguanine-DNA Methyltransferase (MGMT): Challenges and New Opportunities in Glioma Chemotherapy.

Authors:  Wei Yu; Lili Zhang; Qichun Wei; Anwen Shao
Journal:  Front Oncol       Date:  2020-01-17       Impact factor: 6.244

10.  Clinico-neuropathological features of isocitrate dehydrogenase 2 gene mutations in lower-grade gliomas.

Authors:  Lei-Ming Wang; Zhuo Li; Yue-Shan Piao; Yan-Ning Cai; Li-Yan Zhang; Hai-Jing Ge; Wei-Wei Xu; De-Hong Lu
Journal:  Chin Med J (Engl)       Date:  2019-12-20       Impact factor: 6.133

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