論文

査読有り
2002年6月

Prognostic value of loss of heterozygosity around three candidate tumor suppressor genes on chromosome 10q in astrocytomas

JOURNAL OF NEURO-ONCOLOGY
  • K Terada
  • T Tamiya
  • S Daido
  • H Kambara
  • H Tanaka
  • Y Ono
  • K Matsumoto
  • S Ito
  • M Ouchida
  • T Ohmoto
  • K Shimizu
  • 全て表示

58
2
開始ページ
107
終了ページ
114
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1023/A:1016017711033
出版者・発行元
KLUWER ACADEMIC PUBL

We thoroughly examined loss of heterozygosity (LOH) around three candidate tumor suppressor genes on chromosome 10q to determine whether LOH of each tumor suppressor gene is associated with the previously defined clinical prognostic indices. We also examined whether LOH can help predict prognostic variables in astrocytomas.
We selected samples from 40 astrocytomas (grades 2-4), performed Ki-67 immunostaining, and counted positive cells. Using DNA from aliquots of tumor blocks and leukocytes, we investigated LOH around the PTEN, NEURL, and DMBT1 genes (10q23.3-26.1) with the silver staining procedure. We then statistically evaluated the relationship among histological features, regional LOH on chromosome 10q, and survival. The mean survival period for patients with LOH around PTEN was 7.2 months after surgery, while that for patients without LOH around PTEN was 21.4 months. Thus, LOH around PTEN was closely associated with a reduced overall survival (p = 0.0020) but LOH at NEURL or DMBT1 was not (p > 0.05).
The combined features of an increase in histological grading and Ki-67-positive cells and the presence of LOH around PTEN significantly correlated with poor prognosis. These factors may be useful predictors of survival, and LOH analysis of tumor suppressor genes on chromosome 10q can contribute greatly to the treatment of patients with astrocytoma.

リンク情報
DOI
https://doi.org/10.1023/A:1016017711033
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000177302200002&DestApp=WOS_CPL
ID情報
  • DOI : 10.1023/A:1016017711033
  • ISSN : 0167-594X
  • Web of Science ID : WOS:000177302200002

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