My NCBISign In

Display Settings:

Format

Send to:

Choose Destination
    Transl Oncol. 2009 May;2(2):89-95.

    Modeling Adult Gliomas Using RCAS/t-va Technology.

    Hambardzumyan D, Amankulor NM, Helmy KY, Becher OJ, Holland EC.

    Source

    Department of Cancer Biology and Genetics, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA.

    Abstract

    Malignant gliomas remain the most devastating childhood and adult tumors of the central nervous system. Although adult and pediatric gliomas are histologically indistinguishable, they differ in location, behavior, and molecular characteristics. This implies that the molecular pathways and pathophysiology of malignant gliomagenesis in these two populations are distinct. Such differences between adult and pediatric gliomas may predict different therapeutic responses. Therefore, accurate genetically engineered models of adult and pediatric gliomas may help understand the biology of these tumors and evaluate therapeutic agents in preclinical studies. It has been proposed that gliomas arise from the subventricular zone in mice during development. Here, we demonstrate that, in adult mice, gliomas may arise not only when injected in the subventricular zone but also when injected in the cortex and cerebellum. Our work demonstrates a versatile and highly reproducible adult mouse model of glioma, which can be easily incorporated into preclinical studies.

    PMID:
    19412424
    [PubMed]
    PMCID:
    PMC2670576
    Free PMC Article

    Images from this publication.See all images (4) Free text

    Figure 1
    Figure 3
    Figure 2
    Figure 4

    LinkOut - more resources

    Full Text Sources

    Other Literature Sources

      Supplemental Content

      Icon for Neoplasia Press Icon for PubMed Central

      Save items

      loading

      Related citations in PubMed

      See reviews... See all...

      Cited by 13 PubMed Central articles

      See all...

      Related information

      • Related Citations
        Calculated set of PubMed citations closely related to the selected article(s) retrieved using a word weight algorithm. Related articles are displayed in ranked order from most to least relevant, with the “linked from” citation displayed first.
      • References for this PMC Article
        Citation referenced in PubMed article. Only valid for PubMed citations that are also in PMC.
      • Free in PMC
        Free full text articles in PMC
      • Cited in PMC
        Full-text articles in the PubMed Central Database that cite the current articles.

      Recent activity

      Clear Turn Off Turn On

      Your browsing activity is empty.

      Activity recording is turned off.

      Turn recording back on

      See more...
      You are here: NCBI > Literature > PubMed
      Write to the Help Desk