| Autor: |
Javed Khan, Stephen M. Hewitt, Daniel Catchpoole, Mikiko Takikita, Carol J. Thiele, Chand Khanna, Richard Gorlick, Richard Lock, C. Patrick Reynolds, Christopher Morton, Peter Houghton, Malcolm A. Smith, Jun S. Wei, Nicola Cenacchi, Till A. Braunschweig, Qingrong Chen, Braden T. Greer, Sven Bilke, Craig C. Whiteford |
| Rok vydání: |
2023 |
| DOI: |
10.1158/0008-5472.c.6495104.v1 |
| Popis: |
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] |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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