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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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)17163-17168
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume106
Issue number40
DOIs
Publication statusPublished - 06-10-2009
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • General

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