Literature DB >> 17210681

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

Craig C Whiteford1, Sven Bilke, Braden T Greer, Qingrong Chen, Till A Braunschweig, Nicola Cenacchi, Jun S Wei, Malcolm A Smith, Peter Houghton, Christopher Morton, C Patrick Reynolds, Richard Lock, Richard Gorlick, Chand Khanna, Carol J Thiele, Mikiko Takikita, Daniel Catchpoole, Stephen M Hewitt, Javed Khan.   

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.

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Year:  2007        PMID: 17210681     DOI: 10.1158/0008-5472.CAN-06-0610

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  54 in total

1.  National Cancer Institute pediatric preclinical testing program: model description for in vitro cytotoxicity testing.

Authors:  Min H Kang; Malcolm A Smith; Christopher L Morton; Nino Keshelava; Peter J Houghton; C Patrick Reynolds
Journal:  Pediatr Blood Cancer       Date:  2010-10-04       Impact factor: 3.167

2.  A set of imprinted genes required for normal body growth also promotes growth of rhabdomyosarcoma cells.

Authors:  Geoffrey Rezvani; Julian C K Lui; Kevin M Barnes; Jeffrey Baron
Journal:  Pediatr Res       Date:  2012-01       Impact factor: 3.756

3.  Large scale comparison of global gene expression patterns in human and mouse.

Authors:  Xiangqun Zheng-Bradley; Johan Rung; Helen Parkinson; Alvis Brazma
Journal:  Genome Biol       Date:  2010-12-23       Impact factor: 13.583

Review 4.  [Sarcoma gene signatures].

Authors:  F Chibon; J-M Coindre
Journal:  Pathologe       Date:  2011-02       Impact factor: 1.011

Review 5.  Cross species analysis of microarray expression data.

Authors:  Yong Lu; Peter Huggins; Ziv Bar-Joseph
Journal:  Bioinformatics       Date:  2009-04-08       Impact factor: 6.937

Review 6.  Challenges and Opportunities for Childhood Cancer Drug Development.

Authors:  Peter J Houghton; Raushan T Kurmasheva
Journal:  Pharmacol Rev       Date:  2019-10       Impact factor: 25.468

7.  An integrated cross-platform prognosis study on neuroblastoma patients.

Authors:  Qing-Rong Chen; Young K Song; Jun S Wei; Sven Bilke; Shahab Asgharzadeh; Robert C Seeger; Javed Khan
Journal:  Genomics       Date:  2008-07-30       Impact factor: 5.736

8.  Overview of human primary tumorgraft models: comparisons with traditional oncology preclinical models and the clinical relevance and utility of primary tumorgrafts in basic and translational oncology research.

Authors:  David H Lum; Cindy Matsen; Alana L Welm; Bryan E Welm
Journal:  Curr Protoc Pharmacol       Date:  2012-12

9.  Therapeutic efficacy of ABT-737, a selective inhibitor of BCL-2, in small cell lung cancer.

Authors:  Christine L Hann; Vincent C Daniel; Elizabeth A Sugar; Irina Dobromilskaya; Sara C Murphy; Leslie Cope; Xue Lin; Jared S Hierman; Daniel L Wilburn; D Neil Watkins; Charles M Rudin
Journal:  Cancer Res       Date:  2008-04-01       Impact factor: 12.701

10.  The insulin-like growth factor-1 receptor-targeting antibody, CP-751,871, suppresses tumor-derived VEGF and synergizes with rapamycin in models of childhood sarcoma.

Authors:  Raushan T Kurmasheva; Lorina Dudkin; Catherine Billups; Larisa V Debelenko; Christopher L Morton; Peter J Houghton
Journal:  Cancer Res       Date:  2009-09-29       Impact factor: 12.701

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