Literature DB >> 17702889

Evaluation of action mechanisms of toxic chemicals using JFCR39, a panel of human cancer cell lines.

Noriyuki Nakatsu1, Tomoki Nakamura, Kanami Yamazaki, Soutaro Sadahiro, Hiroyasu Makuuchi, Jun Kanno, Takao Yamori.   

Abstract

We previously established a panel of human cancer cell lines, JFCR39, coupled to an anticancer drug activity database; this panel is comparable with the NCI60 panel developed by the National Cancer Institute. The JFCR39 system can be used to predict the molecular targets or evaluate the action mechanisms of the test compounds by comparing their cell growth inhibition profiles (i.e., fingerprints) with those of the standard anticancer drugs using the COMPARE program. In this study, we used this drug activity database-coupled JFCR39 system to evaluate the action mechanisms of various chemical compounds, including toxic chemicals, agricultural chemicals, drugs, and synthetic intermediates. Fingerprints of 130 chemicals were determined and stored in the database. Sixty-nine of 130 chemicals ( approximately 60%) satisfied our criteria for the further analysis and were classified by cluster analysis of the fingerprints of these chemicals and several standard anticancer drugs into the following three clusters: 1) anticancer drugs, 2) chemicals that shared similar action mechanisms (for example, ouabain and digoxin), and 3) chemicals whose action mechanisms were unknown. These results suggested that chemicals belonging to a cluster (i.e., a cluster of toxic chemicals, a cluster of anticancer drugs, etc.) shared similar action mechanism. In summary, the JFCR39 system can classify chemicals based on their fingerprints, even when their action mechanisms are unknown, and it is highly probable that the chemicals within a cluster share common action mechanisms.

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Year:  2007        PMID: 17702889     DOI: 10.1124/mol.107.038836

Source DB:  PubMed          Journal:  Mol Pharmacol        ISSN: 0026-895X            Impact factor:   4.436


  11 in total

Review 1.  ZSTK474, a novel phosphatidylinositol 3-kinase inhibitor identified using the JFCR39 drug discovery system.

Authors:  De-xin Kong; Takao Yamori
Journal:  Acta Pharmacol Sin       Date:  2010-08-23       Impact factor: 6.150

2.  In vitro multifaceted activities of a specific group of novel phosphatidylinositol 3-kinase inhibitors on hotspot mutant PIK3CA.

Authors:  Dexin Kong; Takao Yamori; Kanami Yamazaki; Shingo Dan
Journal:  Invest New Drugs       Date:  2014-08-26       Impact factor: 3.850

Review 3.  In vitro human cell line models to predict clinical response to anticancer drugs.

Authors:  Nifang Niu; Liewei Wang
Journal:  Pharmacogenomics       Date:  2015       Impact factor: 2.533

4.  Mitochondrial complex I inhibitors suppress tumor growth through concomitant acidification of the intra- and extracellular environment.

Authors:  Junjiro Yoshida; Tomokazu Ohishi; Hikaru Abe; Shun-Ichi Ohba; Hiroyuki Inoue; Ihomi Usami; Masahide Amemiya; Raphael Oriez; Chiharu Sakashita; Shingo Dan; Minoru Sugawara; Tokuichi Kawaguchi; Junko Ueno; Yuko Asano; Ami Ikeda; Manabu Takamatsu; Gulanbar Amori; Yasumitsu Kondoh; Kaori Honda; Hiroyuki Osada; Tetsuo Noda; Takumi Watanabe; Takao Shimizu; Masakatsu Shibasaki; Manabu Kawada
Journal:  iScience       Date:  2021-11-25

5.  Signatures of drug sensitivity in nonsmall cell lung cancer.

Authors:  Hua C Gong; Sean Wang; Gary Mayer; Guoan Chen; Glen Leesman; Sharat Singh; David G Beer
Journal:  Int J Proteomics       Date:  2011-08-07

6.  Stromal cells positively and negatively modulate the growth of cancer cells: stimulation via the PGE2-TNFα-IL-6 pathway and inhibition via secreted GAPDH-E-cadherin interaction.

Authors:  Manabu Kawada; Hiroyuki Inoue; Shun-ichi Ohba; Junjiro Yoshida; Tohru Masuda; Manabu Yamasaki; Ihomi Usami; Shuichi Sakamoto; Hikaru Abe; Takumi Watanabe; Takao Yamori; Masakatsu Shibasaki; Akio Nomoto
Journal:  PLoS One       Date:  2015-03-18       Impact factor: 3.240

7.  Exposure time independent summary statistics for assessment of drug dependent cell line growth inhibition.

Authors:  Steffen Falgreen; Maria Bach Laursen; Julie Støve Bødker; Malene Krag Kjeldsen; Alexander Schmitz; Mette Nyegaard; Hans Erik Johnsen; Karen Dybkær; Martin Bøgsted
Journal:  BMC Bioinformatics       Date:  2014-06-05       Impact factor: 3.169

8.  Tumor-Selective Cytotoxicity of Nitidine Results from Its Rapid Accumulation into Mitochondria.

Authors:  Hironori Iwasaki; Masashi Inafuku; Naoyuki Taira; Seikoh Saito; Hirosuke Oku
Journal:  Biomed Res Int       Date:  2017-04-26       Impact factor: 3.411

9.  Correlation between cytotoxic activities and reduction potentials of heterocyclic quinones.

Authors:  Junko Koyama; Izumi Morita; Takao Yamori
Journal:  Molecules       Date:  2010-09-20       Impact factor: 4.411

10.  The effect of acyclic retinoid on the metabolomic profiles of hepatocytes and hepatocellular carcinoma cells.

Authors:  Xian-Yang Qin; Feifei Wei; Masaru Tanokura; Naoto Ishibashi; Masahito Shimizu; Hisataka Moriwaki; Soichi Kojima
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

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