Identification of novel antitumor agents from mixture-based synthetic combinatorial libraries using cell-based assays

被引:15
作者
Appel, JR
Johnson, J
Narayanan, VL
Houghten, RA
机构
[1] Torrey Pines Inst Mol Studies, San Diego, CA 92121 USA
[2] NCI, Drug Synth & Chem Branch, Dev Therapeut Program, Bethesda, MD 20892 USA
基金
美国国家卫生研究院;
关键词
antitumor agents; cancer drug discovery; combinatorial chemistry; high-throughput screening; mixtures; positional scanning; synthetic combinatorial libraries;
D O I
10.1023/A:1026441400053
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A new strategy is presented here which integrates combinatorial library technology with the antitumor in vitro screening system at the National Cancer Institute in the search for novel antitumor agents. Mixture-based synthetic combinatorial libraries (SCLs) representing hundreds of thousands to millions of individual compounds were screened against the cell-based assay, which evaluates compounds for their ability to inhibit the growth of 60 different human tumor cell lines. Five different SCLs, composed of peptides, peptidomimetics, polyamines or small molecules were first tested against three cell lines to identify the most active SCLs. Two SCLs, namely the N-perbenzylated pentamine and the N-acylated permethylated triamine, were deconvoluted to yield individual compounds having significant activities against the 60 tumor cell lines. Active compounds were tested in mice to determine the maximum tolerated dose, followed by in vivo testing in a hollow fiber assay. Using this strategy, three different compounds identified directly from SCLs are currently being evaluated in human tumor xenografts. This study demonstrates for the first time the use of in vitro cell-based assays to identify antitumor lead compounds from mixture-based combinatorial libraries.
引用
收藏
页码:91 / 102
页数:12
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