Proliferating Cell Nuclear Antigen Expression in Rat Glioma Model: Comparison with Bromodeoxyuridine Labeling Index
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概要
- 論文の詳細を見る
The usefulness of proliferating cell nuclear antigen (PCNA) immunostaining for estimating the growth fraction in glial tumors was evaluated in ethylnitrosourea-induced rat gliomas. The PCNA labeling index was compared with the bromodeoxyuridine (BrdU) labeling index, using alternate serial sections fixed either in 10% formalin or in periodonate-lysine-paraformaldehyde (PLP). The PCNA labeling index was significantly correlated with the BrdU labeling index if cells with only faint PCNA staining were excluded. Differences in PCNA staining were noted between the two fixatives. The number of PCNA-positive cells in PLP-fixed material was greater than in 10% formalin-fixed material, but showed a poorer correlation with BrdU labeling index. Over-fixation in formalin reduced the number of positive cells. Although peritumoral tissue did not exhibit overexpression of PCNA, the ependymal lining was weakly stained even in areas distant from the tumor. PCNA labeling index is a useful method to estimate the growth fraction when the materials are processed in a controlled way. When clinical specimens with uncertain preparation are used, care is fequired in interpreting the results.
- 日本脳神経外科学会の論文
- 1994-05-15
著者
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Matsumura Ken-ichi
Department Of Neurosurgery Kusatsu General Hospital
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Nakajima Masayuki
Department of Computer Science Tokyo Institute of Technology
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NAKASU SATOSHI
Department of Neurosurgery, Molecular Neurobiology Research Centre, Shiga University of Medical Scie
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HANDA JYOJI
Department of Neurosurgery, Molecular Neurobiology Research Centre, Shiga University of Medical Scie
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NIOKA Hirofumi
Department of Neurosurgery, Kusatsu General Hospital
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Nioka Hirofumi
Department Of Neurosurgery Kusatsu General Hospital
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Handa Jyoji
Department Of Anatomy And Neurosurgery Shiga University Of Medical Science
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Nakasu Satoshi
Department Of Neurosurgery Shiga University Of Medical Science
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Nakajima Masayuki
Department Of Computer Science Graduate School Of Information Science & Engineering Tokyo Instit
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Nakajima Masayuki
Department Of Neurosurgery Shiga University Of Medical Science
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