Assessment of the Efficacy of Anticancer Drugs by Amino Acid Metabolomics Using Fluorescence Derivatization-HPLC

• TOMITA Ryoko

  Faculty of Pharmaceutical Sciences, Fukuoka University

• TODOROKI Kenichiro

  Laboratory of Analytical and Bio-Analytical Chemistry, School of Pharmaceutical Sciences, University of Shizuoka

• MACHIDA Kazuyuki

  Faculty of Pharmaceutical Sciences, Fukuoka University

• NISHIDA Sho

  Faculty of Pharmaceutical Sciences, Fukuoka University

• MARUOKA Hiroshi

  Faculty of Pharmaceutical Sciences, Fukuoka University

• YOSHIDA Hideyuki

  Faculty of Pharmaceutical Sciences, Fukuoka University

• FUJIOKA Toshihiro

  Faculty of Pharmaceutical Sciences, Fukuoka University

• NAKASHIMA Manabu

  Faculty of Pharmaceutical Sciences, Fukuoka University

• YAMAGUCHI Masatoshi

  Faculty of Pharmaceutical Sciences, Fukuoka University

• NOHTA Hitoshi

  Faculty of Pharmaceutical Sciences, Fukuoka University

Abstract

Metabolomic studies conducted for evaluating cancer pathogenesis and progression by monitoring the amino acids metabolic balance hold great promise for assessing current and future anticancer treatments. We performed a comprehensive quantification of 21 amino acids concentrations in cultured human colorectal adenocarcinoma cells treated with the anticancer drugs 5-fluorouracil, irinotecan, and cisplatin. A precolumn fluorescence derivatization-HPLC method involving 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate was used. Amino acid concentration data were analyzed by principal-component analysis and partial least-squares multivariate statistical methods to represent samples on two-dimensional graphs. The hierarchical cluster analysis and linear discriminant analysis were used to classify the samples on the score plots. Unlike the cluster analysis approach, the linear discrimination analysis classification successfully distinguished anticancer drug-treated samples from the untreated controls. Moreover, three candidate amino acids (serine, aspartic acid, and methionine) were identified from the loading plots as potential biomarkers. Our proposed method might be able to evaluate the effectiveness of anticancer therapy even in small laboratories or medical institutions.

Journal

• Analytical Sciences

  Analytical Sciences 30 (7), 751-758, 2014

  The Japan Society for Analytical Chemistry

Keywords

• Amino acids
• metabolomics
• fluorescence derivatization
• liquid chromatography
• anticancer drug
• tumor cells

Details

• CRID: 1390001204260717184
• NII Article ID: 130004442316
• NII Book ID: AA10500785
• DOI: 10.2116/analsci.30.751
• COI: 1:STN:280:DC%2BC2cbgvVyqtQ%3D%3D
• ISSN: 13482246
• ISSN: 09106340
• NDL BIB ID: 025570262
• PubMed: 25007935
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I025570262
• Web Site: https://link.springer.com/content/pdf/10.2116/analsci.30.751.pdf
• Web Site: https://link.springer.com/article/10.2116/analsci.30.751/fulltext.html
• Web Site: https://www.jstage.jst.go.jp/article/analsci/30/7/30_751/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2015062208
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • PubMed
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed