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Related Experiment Videos

Credentialing preclinical pediatric xenograft models using gene expression and tissue microarray analysis.

Craig C Whiteford1, Sven Bilke, Braden T Greer

  • 1Oncogenomics Section, Comparative Oncology Program, and Cell and Molecular Biology Section, Pediatric Oncology Branch.

Cancer Research
|January 11, 2007
PubMed
Summary

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This study analyzed pediatric tumor xenografts, finding they maintain molecular profiles of original tumors. This research aids in selecting better preclinical models for anticancer drug development and target identification.

Area of Science:

  • Oncology
  • Genomics
  • Translational Medicine

Background:

  • Human tumor xenografts are crucial for preclinical anticancer drug screening.
  • Current model selection is empirical, lacking molecular similarity to primary tumors.
  • A comprehensive transcriptomic analysis of pediatric xenografts is needed.

Purpose of the Study:

  • To conduct the first comprehensive transcriptomic analysis of pediatric tumor xenografts.
  • To identify xenograft models that accurately represent their tumor type of origin at the molecular level.
  • To facilitate the development of rationally designed molecularly targeted agents.

Main Methods:

  • Transcriptome-wide analysis of a large set of pediatric xenografts.
  • Comparison of gene expression patterns between xenografts and their primary tumors.

Related Experiment Videos

  • Development of tissue arrays to validate mRNA and protein expression correlation.

    • Main Results:

    • Characteristic expression patterns of primary tumors were largely maintained in corresponding xenografts.
    • High mRNA levels were confirmed to correlate with high protein levels for tested genes.
    • A web database and tissue arrays were developed for target validation.

    Conclusions:

    • Pediatric xenografts can accurately represent the molecular characteristics of primary tumors.
    • The developed database and tissue arrays will accelerate the confirmation of drug targets.
    • This resource will aid in identifying predictive tumor markers and discovering new molecular targets.