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An animal model of MYC-driven medulloblastoma.

Cancer cell | 2012

Medulloblastoma (MB) is the most common malignant brain tumor in children. Patients whose tumors exhibit overexpression or amplification of the MYC oncogene (c-MYC) usually have an extremely poor prognosis, but there are no animal models of this subtype of the disease. Here, we show that cerebellar stem cells expressing Myc and mutant Trp53 (p53) generate aggressive tumors following orthotopic transplantation. These tumors consist of large, pleiomorphic cells and resemble human MYC-driven MB at a molecular level. Notably, antagonists of PI3K/mTOR signaling, but not Hedgehog signaling, inhibit growth of tumor cells. These findings suggest that cerebellar stem cells can give rise to MYC-driven MB and identify a novel model that can be used to test therapies for this devastating disease.

Pubmed ID: 22340590 RIS Download

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: CA159859
  • Agency: NCI NIH HHS, United States
    Id: R01 CA159859
  • Agency: NCI NIH HHS, United States
    Id: R01 CA159859-01
  • Agency: NCI NIH HHS, United States
    Id: R01 CA122759-04
  • Agency: NCI NIH HHS, United States
    Id: R01 CA122759
  • Agency: NCI NIH HHS, United States
    Id: CA122759
  • Agency: NCI NIH HHS, United States
    Id: R01 CA122759-03
  • Agency: NCI NIH HHS, United States
    Id: R01 CA159859-02

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_007303

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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