Assessment of the Efficacy of Anticancer Drugs by Amino Acid Metabolomics Using Fluorescence Derivatization-HPLC
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- TOMITA Ryoko
- Faculty of Pharmaceutical Sciences, Fukuoka University
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- TODOROKI Kenichiro
- Laboratory of Analytical and Bio-Analytical Chemistry, School of Pharmaceutical Sciences, University of Shizuoka
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- MACHIDA Kazuyuki
- Faculty of Pharmaceutical Sciences, Fukuoka University
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- NISHIDA Sho
- Faculty of Pharmaceutical Sciences, Fukuoka University
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- MARUOKA Hiroshi
- Faculty of Pharmaceutical Sciences, Fukuoka University
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- YOSHIDA Hideyuki
- Faculty of Pharmaceutical Sciences, Fukuoka University
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- FUJIOKA Toshihiro
- Faculty of Pharmaceutical Sciences, Fukuoka University
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- NAKASHIMA Manabu
- Faculty of Pharmaceutical Sciences, Fukuoka University
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- YAMAGUCHI Masatoshi
- Faculty of Pharmaceutical Sciences, Fukuoka University
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- NOHTA Hitoshi
- Faculty of Pharmaceutical Sciences, Fukuoka University
この論文をさがす
抄録
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.
収録刊行物
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- Analytical Sciences
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Analytical Sciences 30 (7), 751-758, 2014
社団法人 日本分析化学会
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詳細情報 詳細情報について
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- CRID
- 1390001204260717184
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- NII論文ID
- 130004442316
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- NII書誌ID
- AA10500785
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- COI
- 1:STN:280:DC%2BC2cbgvVyqtQ%3D%3D
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- ISSN
- 13482246
- 09106340
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- NDL書誌ID
- 025570262
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- PubMed
- 25007935
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- Web Site
- http://id.ndl.go.jp/bib/025570262
- https://ndlsearch.ndl.go.jp/books/R000000004-I025570262
- https://link.springer.com/content/pdf/10.2116/analsci.30.751.pdf
- https://link.springer.com/article/10.2116/analsci.30.751/fulltext.html
- https://www.jstage.jst.go.jp/article/analsci/30/7/30_751/_pdf
- https://search.jamas.or.jp/link/ui/2015062208
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- PubMed
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可