Credentialing Preclinical Pediatric Xenograft Models Using Gene Expression and Tissue Microarray Analysis
Open Access
- 1 January 2007
- journal article
- Published by American Association for Cancer Research (AACR) in Cancer Research
- Vol. 67 (1) , 32-40
- https://doi.org/10.1158/0008-5472.can-06-0610
Abstract
Human tumor xenografts have been used extensively for rapid screening of the efficacy of anticancer drugs for the past 35 years. The selection of appropriate xenograft models for drug testing has been largely empirical and has not incorporated a similarity to the tumor type of origin at the molecular level. This study is the first comprehensive analysis of the transcriptome of a large set of pediatric xenografts, which are currently used for preclinical drug testing. Suitable models representing the tumor type of origin were identified. It was found that the characteristic expression patterns of the primary tumors were maintained in the corresponding xenografts for the majority of samples. Because a prerequisite for developing rationally designed drugs is that the target is expressed at the protein level, we developed tissue arrays from these xenografts and corroborated that high mRNA levels yielded high protein levels for two tested genes. The web database and availability of tissue arrays will allow for the rapid confirmation of the expression of potential targets at both the mRNA and the protein level for molecularly targeted agents. The database will facilitate the identification of tumor markers predictive of response to tested agents as well as the discovery of new molecular targets. [Cancer Res 2007;67(1):32–40]Keywords
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This publication has 24 references indexed in Scilit:
- An Expression Signature Classifies Chemotherapy-Resistant Pediatric OsteosarcomaCancer Research, 2005
- Database of mRNA gene expression profiles of multiple human organsGenome Research, 2005
- Post-transcriptional Expression Regulation in the Yeast Saccharomyces cerevisiae on a Genomic ScaleMolecular & Cellular Proteomics, 2004
- Prediction of Clinical Outcome Using Gene Expression Profiling and Artificial Neural Networks for Patients with NeuroblastomaCancer Research, 2004
- Evaluation of Biologic End Points and Pharmacokinetics in Patients With Metastatic Breast Cancer After Treatment With Erlotinib, an Epidermal Growth Factor Receptor Tyrosine Kinase InhibitorJournal of Clinical Oncology, 2004
- Medullomyoblastoma: A radiographic and clinicopathologic analysis of six cases and review of the literatureCancer, 2004
- Integrating pharmacology and in vivo cancer models in preclinical and clinical drug developmentEuropean Journal Of Cancer, 2004
- Microarray analysis of xenograft‐derived cancer cell lines representing multiple experimental models of human prostate cancerMolecular Carcinogenesis, 2003
- Evaluation of ethanol‐fixed, paraffin‐embedded tissues for proteomic applicationsProteomics, 2003
- Evaluation of Non-Formalin Tissue Fixation for Molecular Profiling StudiesThe American Journal of Pathology, 2002