論文

査読有り
2022年1月10日

Validation of Urinary Charged Metabolite Profiles in Colorectal Cancer Using Capillary Electrophoresis-Mass Spectrometry

Metabolites
  • Toru Sakurai
  • ,
  • Kenji Katsumata
  • ,
  • Ryutaro Udo
  • ,
  • Tomoya Tago
  • ,
  • Kenta Kasahara
  • ,
  • Junichi Mazaki
  • ,
  • Hiroshi Kuwabara
  • ,
  • Hideaki Kawakita
  • ,
  • Masanobu Enomoto
  • ,
  • Tetsuo Ishizaki
  • ,
  • Yukako Nemoto
  • ,
  • Yoshiaki Osaka
  • ,
  • Yuichi Nagakawa
  • ,
  • Masahiro Sugimoto
  • ,
  • Akihiko Tsuchida

12
1
開始ページ
59
終了ページ
59
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/metabo12010059
出版者・発行元
MDPI AG

This study aimed to validate and reanalyze urinary biomarkers for detecting colorectal cancers (CRCs). We previously conducted urinary metabolomic analyses using capillary electrophoresis-mass spectrometry and found a significant difference in various metabolites, especially polyamines, between patients with CRC and healthy controls (HC). We analyzed additional samples and confirmed consistency between the newly and previously analyzed data. In total, we included 36 HC, 34 adenoma (AD), and 214 CRC samples, which were used for subsequent analyses. Among the 132 quantified metabolites, 16 exhibited consistent differences in both datasets, which included polyamines, etc. Pathway analyses of the integrated data revealed significant differences in many metabolites, such as glutamine, and metabolites of the TCA and urea cycles. The discrimination ability of the combination of multiple metabolites among the three groups was evaluated, which yielded higher sensitivity than tumor markers. The Mann–Whitney test was employed to evaluate the prognosis predictivity of the assessed metabolites and the difference between the patients with or without recurrence, which yielded 16 significantly different metabolites. Among these 16 metabolites, 11 presented significant prognosis predictivity. These data indicated the potential of metabolite-based discrimination of patients with CRC and AD from HC and prognosis predictivity of the monitored metabolites.

リンク情報
DOI
https://doi.org/10.3390/metabo12010059
URL
https://www.mdpi.com/2218-1989/12/1/59/pdf
ID情報
  • DOI : 10.3390/metabo12010059
  • eISSN : 2218-1989

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