Literature DB >> 21249460

Quantitative digital assessment of MGMT immunohistochemical expression in glioblastoma tissue.

Yukie Araki1, Masahiro Mizoguchi, Koji Yoshimoto, Tadahisa Shono, Toshiyuki Amano, Akira Nakamizo, Satoshi O Suzuki, Toru Iwaki, Tomio Sasaki.   

Abstract

Recent reports have suggested an important clinical role for hypermethylation of the O(6)-methylguanine-DNA-methyltransferase (MGMT) promoter in patients with glioblastomas. Whether MGMT protein expression is correlated with promoter hypermethylation and patient outcomes, however, has not been elucidated. Here we describe a quantitative digital method for assessment of MGMT-specific immunostaining, and analyze the relationship between expression levels and methylation status of the MGMT promoter. We investigated 46 tumors from patients who received a diagnosis of glioblastoma or gliosarcoma. Immunohistochemistry with anti-MGMT antibody and methylation-specific PCR using bisulfite-modified tumor DNA were performed. The digital assessment method used image-analysis software to determine a digital MGMT staining index, and the results were compared with those obtained via conventional visual assessments. The digital staining index clearly correlated with the methylation status of MGMT promoter. In addition, the index correlated with our observational results when nuclear and cytoplasmic staining were assessed in three different fields. Our digital assessment method enabled us to assess uncertain immunopositive samples objectively and quantitatively, which is an important consideration when examining heterogeneous cellular staining. We expect that this method will be useful for assessment of heterogeneous staining with any antibodies.

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Year:  2011        PMID: 21249460     DOI: 10.1007/s10014-010-0004-2

Source DB:  PubMed          Journal:  Brain Tumor Pathol        ISSN: 1433-7398            Impact factor:   3.298


  8 in total

1.  Comparative analysis of colorimetric staining in skin using open-source software.

Authors:  Paul C Billings; Jenine K Sanzari; Ann R Kennedy; Keith A Cengel; John T Seykora
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2.  MR Imaging-Based Analysis of Glioblastoma Multiforme: Estimation of IDH1 Mutation Status.

Authors:  K Yamashita; A Hiwatashi; O Togao; K Kikuchi; R Hatae; K Yoshimoto; M Mizoguchi; S O Suzuki; T Yoshiura; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-24       Impact factor: 3.825

Review 3.  MGMT testing allows for personalised therapy in the temozolomide era.

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

4.  Add-on bevacizumab can prevent early clinical deterioration and prolong survival in newly diagnosed partially resected glioblastoma patients with a poor performance status.

Authors:  Nobuhiro Hata; Koji Yoshimoto; Ryusuke Hatae; Daisuke Kuga; Yojiro Akagi; Yuhei Sangatsuda; Satoshi O Suzuki; Tadahisa Shono; Masahiro Mizoguchi; Koji Iihara
Journal:  Onco Targets Ther       Date:  2017-01-18       Impact factor: 4.147

5.  Genetic Factors Affecting Intraoperative 5-aminolevulinic Acid-induced Fluorescence of Diffuse Gliomas.

Authors:  Kiyotaka Saito; Toshinori Hirai; Hideo Takeshima; Yoshihito Kadota; Shinji Yamashita; Asya Ivanova; Kiyotaka Yokogami
Journal:  Radiol Oncol       Date:  2017-04-12       Impact factor: 2.991

6.  APNG as a prognostic marker in patients with glioblastoma.

Authors:  Sigurd Fosmark; Sofie Hellwege; Rikke H Dahlrot; Kristian L Jensen; Helene Derand; Jesper Lohse; Mia D Sørensen; Steinbjørn Hansen; Bjarne W Kristensen
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

7.  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

8.  Volumetric study reveals the relationship between outcome and early radiographic response during bevacizumab-containing chemoradiotherapy for unresectable glioblastoma.

Authors:  Kosuke Takigawa; Nobuhiro Hata; Yuhei Michiwaki; Akio Hiwatashi; Hajime Yonezawa; Daisuke Kuga; Ryusuke Hatae; Yuhei Sangatsuda; Yutaka Fujioka; Yusuke Funakoshi; Ryosuke Otsuji; Aki Sako; Osamu Togao; Takashi Yoshiura; Koji Yoshimoto; Masahiro Mizoguchi
Journal:  J Neurooncol       Date:  2021-07-28       Impact factor: 4.130

  8 in total

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