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

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 pati...

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Päätekijät: 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
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2022-01-01
Sarja:Metabolites
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Linkit:https://www.mdpi.com/2218-1989/12/1/59
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author 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
author_facet 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
author_sort Toru Sakurai
collection DOAJ
description 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 (tricarboxylic acid cycle) 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.
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spelling doaj.art-91670ea66898499c935f57ef070a8af52023-11-23T14:40:19ZengMDPI AGMetabolites2218-19892022-01-011215910.3390/metabo12010059Validation of Urinary Charged Metabolite Profiles in Colorectal Cancer Using Capillary Electrophoresis-Mass SpectrometryToru Sakurai0Kenji Katsumata1Ryutaro Udo2Tomoya Tago3Kenta Kasahara4Junichi Mazaki5Hiroshi Kuwabara6Hideaki Kawakita7Masanobu Enomoto8Tetsuo Ishizaki9Yukako Nemoto10Yoshiaki Osaka11Yuichi Nagakawa12Masahiro Sugimoto13Akihiko Tsuchida14Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Surgery, Kohsei Chuo General Hospital, 1-11-27 Mita, Meguroku, Tokyo 153-0062, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanDepartment of Gastroenterology, Kohsei Chuo General Hospital, 1-11-27 Mita, Meguroku, Tokyo 153-0062, JapanDepartment of Surgery, Kohsei Chuo General Hospital, 1-11-27 Mita, Meguroku, Tokyo 153-0062, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0811, JapanDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi-Shinjuku, Shinjukuku, Tokyo 160-0023, JapanThis 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 (tricarboxylic acid cycle) 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.https://www.mdpi.com/2218-1989/12/1/59colorectal canceradenomacapillary electrophoresis-mass spectrometrymetabolome
spellingShingle 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
Validation of Urinary Charged Metabolite Profiles in Colorectal Cancer Using Capillary Electrophoresis-Mass Spectrometry
Metabolites
colorectal cancer
adenoma
capillary electrophoresis-mass spectrometry
metabolome
title Validation of Urinary Charged Metabolite Profiles in Colorectal Cancer Using Capillary Electrophoresis-Mass Spectrometry
title_full Validation of Urinary Charged Metabolite Profiles in Colorectal Cancer Using Capillary Electrophoresis-Mass Spectrometry
title_fullStr Validation of Urinary Charged Metabolite Profiles in Colorectal Cancer Using Capillary Electrophoresis-Mass Spectrometry
title_full_unstemmed Validation of Urinary Charged Metabolite Profiles in Colorectal Cancer Using Capillary Electrophoresis-Mass Spectrometry
title_short Validation of Urinary Charged Metabolite Profiles in Colorectal Cancer Using Capillary Electrophoresis-Mass Spectrometry
title_sort validation of urinary charged metabolite profiles in colorectal cancer using capillary electrophoresis mass spectrometry
topic colorectal cancer
adenoma
capillary electrophoresis-mass spectrometry
metabolome
url https://www.mdpi.com/2218-1989/12/1/59
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