Panel of human cancer cell lines provides valuable database for drug discovery and bioinformatics

Studies conducted at the US National Cancer Institute (NCI) and in our laboratory show that databases including the drug sensitivities of panels of many human cancer cell lines provide valuable information on the molecular pharmacology of anticancer drugs. We established a panel of 39 cell lines of various human cancers and developed a database of their chemosensitivities. Drugs were profiled in terms of their "fingerprints", patterns of differential activity against the cell lines. There was a significant correlation between a drug's fingerprint and its mode of action, as observed in the NCI panel of 60 cell lines. Therefore our cell-line panel is a powerful tool to predict the modes of action of new compounds. We have been using this system for drug discovery, coupled with various target-based drug screenings. We used the system to identify a novel DNA minor-groove binder, MS-247, which has inhibitory activity against topoisomerases I and II, and potent in vivo antitumor activity against various human cancer xenografts. We also discovered a potent novel telomerase inhibitor, FJ5002, by mining our database with the COMPARE algorithm, followed by experimental validation. We investigated the gene expression profiles of the cell lines by using DNA microarrays to find profiles determining cellular chemosensitivity and new targets for anticancer drugs. Our integrated database, including the chemosensitivities and gene expression profiles of the cell-line panel, could provide a basis for drug discovery and personalized therapy.

[1]  D A Scudiero,et al.  Display and analysis of patterns of differential activity of drugs against human tumor cell lines: development of mean graph and COMPARE algorithm. , 1989, Journal of the National Cancer Institute.

[2]  R. Riccardi,et al.  Cellular and molecular aspects of drugs of the future: oxaliplatin , 2002, Cellular and Molecular Life Sciences CMLS.

[3]  Christian A. Rees,et al.  Systematic variation in gene expression patterns in human cancer cell lines , 2000, Nature Genetics.

[4]  D. Scudiero,et al.  Feasibility of a high-flux anticancer drug screen using a diverse panel of cultured human tumor cell lines. , 1991, Journal of the National Cancer Institute.

[5]  D. Botstein,et al.  A gene expression database for the molecular pharmacology of cancer , 2000, Nature Genetics.

[6]  T. Yamori,et al.  Anticancer and some biological activities of thiazinotrienomycin B. , 2000, The Journal of antibiotics.

[7]  M. Shibuya,et al.  β‐Hydroxyisovalerylshikonin Is a Novel and Potent Inhibitor of Protein Tyrosine Kinases , 2002, Japanese journal of cancer research : Gann.

[8]  Yusuke Nakamura,et al.  An integrated database of chemosensitivity to 55 anticancer drugs and gene expression profiles of 39 human cancer cell lines. , 2002, Cancer research.

[9]  S. Dan,et al.  Repression of cyclin B1 expression after treatment with adriamycin, but not cisplatin in human lung cancer A549 cells. , 2001, Biochemical and biophysical research communications.

[10]  A. Ullrich,et al.  Smart drugs: tyrosine kinase inhibitors in cancer therapy. , 2002, Cancer cell.

[11]  William C Reinhold,et al.  Transcriptional regulation of mitotic genes by camptothecin-induced DNA damage: microarray analysis of dose- and time-dependent effects. , 2002, Cancer research.

[12]  T. Tsuruo,et al.  Potent antitumor activity of MS-247, a novel DNA minor groove binder, evaluated by an in vitro and in vivo human cancer cell line panel. , 1999, Cancer research.

[13]  Shigeo Sato,et al.  Anti‐tumor Efficacy of Paclitaxel against Human Lung Cancer Xenografts , 1997, Japanese journal of cancer research : Gann.

[14]  T. Tsuruo,et al.  A Potent Telomerase Inhibitor Identified by Exploiting the Disease-oriented Screening Program with COMPARE Analysis 1 , 1999 .

[15]  G. S. Johnson,et al.  An Information-Intensive Approach to the Molecular Pharmacology of Cancer , 1997, Science.