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NMR-based metabolomic techniques identify potential urinary biomarkers for early colorectal cancer detection.

Better early detection methods are needed to improve the outcomes of patients with colorectal cancer (CRC). Proton nuclear magnetic resonance spectroscopy ( 1 H-NMR), a potential non-invasive early tumor detection method, was used to profile urine metabolites from 55 CRC patients and 40 healthy cont... Full description

Journal Title: Oncotarget December 1, 2017, Vol.8(62), pp.105819-105831
Main Author: Wang, Zhening
Other Authors: Lin, Yan , Liang, Jiahao , Huang, Yao , Ma, Changchun , Liu, Xingmu , Yang, Jurong
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1949-2553 ; DOI: 10.18632/oncotarget.22402
Link: http://search.proquest.com/docview/1982842316/?pq-origsite=primo
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recordid: proquest1982842316
title: NMR-based metabolomic techniques identify potential urinary biomarkers for early colorectal cancer detection.
format: Article
creator:
  • Wang, Zhening
  • Lin, Yan
  • Liang, Jiahao
  • Huang, Yao
  • Ma, Changchun
  • Liu, Xingmu
  • Yang, Jurong
subjects:
  • 1h NMR Spectroscopy
  • Biomarker
  • Colorectal Cancer
  • Metabolomics
  • Urine
ispartof: Oncotarget, December 1, 2017, Vol.8(62), pp.105819-105831
description: Better early detection methods are needed to improve the outcomes of patients with colorectal cancer (CRC). Proton nuclear magnetic resonance spectroscopy ( 1 H-NMR), a potential non-invasive early tumor detection method, was used to profile urine metabolites from 55 CRC patients and 40 healthy controls (HCs). Pattern recognition through orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied to 1 H-NMR processed data. Model specificity was confirmed by comparison with esophageal cancers (EC, n=18). Unique metabolomic profiles distinguished all CRC stages from HC urine samples. A total of 16 potential biomarker metabolites were identified in stage I/II CRC, indicating amino acid metabolism, glycolysis, tricarboxylic acid (TCA) cycle, urea cycle, choline metabolism, and gut microflora metabolism pathway disruptions. Metabolite profiles from early stage CRC and EC patients were also clearly distinguishable, suggesting that upper and lower gastrointestinal cancers have different metabolomic profiles. Our study assessed important metabolomic variations in CRC patient urine samples, provided information complementary to that collected from other biofluid-based metabolomics analyses, and elucidated potential underlying metabolic mechanisms driving CRC. Our results support the utility of NMR-based urinary metabolomics fingerprinting in early diagnosis of CRC.
language: eng
source:
identifier: E-ISSN: 1949-2553 ; DOI: 10.18632/oncotarget.22402
fulltext: fulltext
issn:
  • 19492553
  • 1949-2553
url: Link


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titleNMR-based metabolomic techniques identify potential urinary biomarkers for early colorectal cancer detection.
creatorWang, Zhening ; Lin, Yan ; Liang, Jiahao ; Huang, Yao ; Ma, Changchun ; Liu, Xingmu ; Yang, Jurong
contributorWang, Zhening (correspondence author) ; Wang, Zhening (record owner)
ispartofOncotarget, December 1, 2017, Vol.8(62), pp.105819-105831
identifierE-ISSN: 1949-2553 ; DOI: 10.18632/oncotarget.22402
subject1h NMR Spectroscopy ; Biomarker ; Colorectal Cancer ; Metabolomics ; Urine
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descriptionBetter early detection methods are needed to improve the outcomes of patients with colorectal cancer (CRC). Proton nuclear magnetic resonance spectroscopy ( 1 H-NMR), a potential non-invasive early tumor detection method, was used to profile urine metabolites from 55 CRC patients and 40 healthy controls (HCs). Pattern recognition through orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied to 1 H-NMR processed data. Model specificity was confirmed by comparison with esophageal cancers (EC, n=18). Unique metabolomic profiles distinguished all CRC stages from HC urine samples. A total of 16 potential biomarker metabolites were identified in stage I/II CRC, indicating amino acid metabolism, glycolysis, tricarboxylic acid (TCA) cycle, urea cycle, choline metabolism, and gut microflora metabolism pathway disruptions. Metabolite profiles from early stage CRC and EC patients were also clearly distinguishable, suggesting that upper and lower gastrointestinal cancers have different metabolomic profiles. Our study assessed important metabolomic variations in CRC patient urine samples, provided information complementary to that collected from other biofluid-based metabolomics analyses, and elucidated potential underlying metabolic mechanisms driving CRC. Our results support the utility of NMR-based urinary metabolomics fingerprinting in early diagnosis of CRC.
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