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Identification of tumor-initiating cells in a highly aggressive brain tumor using promoter activity of nucleostemin

  • Akira Tamase
  • , Teruyuki Muraguchi
  • , Kazuhito Naka
  • , Shingo Tanaka
  • , Masashi Kinoshita
  • , Takayuki Hoshii
  • , Masako Ohmura
  • , Haruhiko Shugo
  • , Takako Ooshio
  • , Mitsutoshi Nakada
  • , Kazunobu Sawamoto
  • , Masafumi Onodera
  • , Kunio Matsumoto
  • , Masanobu Oshima
  • , Masahide Asano
  • , Hideyuki Saya
  • , Hideyuki Okano
  • , Toshio Suda
  • , Jun Ichiro Hamada
  • , Atsushi Hirao

研究成果: ジャーナルへの寄稿学術論文査読

抄録

Controversy remains over whether the cancer stem cell (CSC) theory applies to all tumors. To determine whether cells within a highly aggressive solid tumor are stochastically or hierarchically organized, we combined a reporter system where the nucleostemin (NS) promoter drives GFP expression (termed NS-GFP) with a mouse brain tumor model induced by retroviral Ras expression on a p16 Ink4a/p19Arf-deficient background. The NS-GFP system allowed us to monitor the differentiation process of normal neural stem/precursor cells by analyzing GFP fluorescence intensity. In tumor-bearing mice, despite the very high frequency of tumorigenic cells, we successfully identified the NS-GFP+ cells as tumorinitiating cells (T-ICs). The clonal studies conclusively established that phenotypical heterogeneity can exist among the cells comprising a genetically homogeneous tumor, suggesting that this aggressive brain tumor follows the CSC model. Detailed analyses of the NS-GFP+ brain tumor cells revealed that T-ICs showed activation of the receptor tyrosine kinase c-Met, which functions in tumor invasiveness. Thus, the NS-GFP system provides a powerful tool to elucidate stem cell biology in normal and malignant tissues.

本文言語英語
ページ(範囲)17163-17168
ページ数6
ジャーナルProceedings of the National Academy of Sciences of the United States of America
106
40
DOI
出版ステータス出版済み - 06-10-2009
外部発表はい

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 一般

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