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Quantitative evaluation of immunohistochemical analysis of glioma
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- Takano Shingo
- Department of Neurosurgery Tsukuba University Hospital and Faculty of Medicine University of Tsukuba
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- Matsuda Masahide
- Department of Neurosurgery Tsukuba University Hospital and Faculty of Medicine University of Tsukuba
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- Ishikawa Eiichi
- Department of Neurosurgery Tsukuba University Hospital and Faculty of Medicine University of Tsukuba
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- Sakamoto Noriaki
- Department of Neurosurgery Tsukuba University Hospital and Faculty of Medicine University of Tsukuba Department of Pathology Tsukuba University Hospital and Faculty of Medicine University of Tsukuba
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- Akutsu Hiroyoshi
- Department of Neurosurgery Tsukuba University Hospital and Faculty of Medicine University of Tsukuba
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- Kino Hiroyoshi
- Department of Neurosurgery Tsukuba University Hospital and Faculty of Medicine University of Tsukuba
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- Yamamoto Tetsuya
- Department of Neurosurgery Tsukuba University Hospital and Faculty of Medicine University of Tsukuba
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- Matsumura Akira
- Department of Neurosurgery Tsukuba University Hospital and Faculty of Medicine University of Tsukuba
Bibliographic Information
- Other Title
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- グリオーマの免疫染色定量評価
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Description
For neuropathological diagnosis of glial tumors, molecular diagnosis is also important as well as classical histological diagnosis. Key molecules for glial tumors include mutations in isocitrate dehydrogenase (IDH) 1and 2, 1p/19q loss of heterozygocity (LOH), p53 mutation, ATRX mutation, MGMT promoter methylation, Tert promoter methylation as well as Ki67. Immunohistochemistry is simple, robust and universal detection methods for these mokecules compared to genetic analysis. We applied automatedquantitative analysis for detection of Ki67 index, p53 mutation and MGMT promoter methylation using Gunma-LI that were developed for Ki67 detection of brain tumors. Automated count (trial method) and manual count as a golden standard) of 18 samples of glioma sections were compared. We found automated analysis with Gunma-LI is useful for quantitative detection of p53 mutation and MGMT promoter methylation as well as Ki67 index.This method might be applied for individual molecular analysis instead of genetic examination in multicenter clinical trial.
Journal
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- Progress in Neuro-Oncology
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Progress in Neuro-Oncology 23 (1), 14-20, 2016
Kinki Brain Tumor Pathology Conference
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Details 詳細情報について
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- CRID
- 1390282680481823872
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- NII Article ID
- 130005150139
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- ISSN
- 21870551
- 18800742
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- Text Lang
- en
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- Article Type
- journal article
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- Data Source
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- JaLC
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed