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NMR-based fecal metabolomics fingerprinting as predictors of earlier diagnosis in patients with colorectal cancer

Colorectal cancer (CRC) is a growing cause of mortality in developing countries, warranting investigation into its earlier detection for optimal disease management. A metabolomics based approach provides potential for noninvasive identification of biomarkers of colorectal carcinogenesis, as well as... Full description

Journal Title: Oncotarget 17 May 2016, Vol.7(20), pp.29454-64
Main Author: Lin, Yan
Other Authors: Ma, Changchun , Liu, Chengkang , Wang, Zhening , Yang, Jurong , Liu, Xinmu , Shen, Zhiwei , Wu, Renhua
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1949-2553 ; PMID: 27107423 Version:1 ; DOI: 10.18632/oncotarget.8762
Link: http://pubmed.gov/27107423
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recordid: medline27107423
title: NMR-based fecal metabolomics fingerprinting as predictors of earlier diagnosis in patients with colorectal cancer
format: Article
creator:
  • Lin, Yan
  • Ma, Changchun
  • Liu, Chengkang
  • Wang, Zhening
  • Yang, Jurong
  • Liu, Xinmu
  • Shen, Zhiwei
  • Wu, Renhua
subjects:
  • 1h NMR Spectroscopy
  • Opls-Da
  • Colorectal Cancer
  • Fecal Profile
  • Metabolomics
  • Colorectal Neoplasms -- Diagnosis
  • Early Detection of Cancer -- Methods
  • Feces -- Chemistry
  • Metabolomics -- Methods
  • Proton Magnetic Resonance Spectroscopy -- Methods
ispartof: Oncotarget, 17 May 2016, Vol.7(20), pp.29454-64
description: Colorectal cancer (CRC) is a growing cause of mortality in developing countries, warranting investigation into its earlier detection for optimal disease management. A metabolomics based approach provides potential for noninvasive identification of biomarkers of colorectal carcinogenesis, as well as dissection of molecular pathways of pathophysiological conditions. Here, proton nuclear magnetic resonance spectroscopy (1HNMR) -based metabolomic approach was used to profile fecal metabolites of 68 CRC patients (stage I/II=20; stage III=25 and stage IV=23) and 32 healthy controls (HC). Pattern recognition through principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied on 1H-NMR processed data for dimension reduction. OPLS-DA revealed that each stage of CRC could be clearly distinguished from HC based on their metabolomic profiles. Successive analyses identified distinct disturbances to fecal metabolites of CRC patients at various stages,...
language: eng
source:
identifier: E-ISSN: 1949-2553 ; PMID: 27107423 Version:1 ; DOI: 10.18632/oncotarget.8762
fulltext: fulltext
issn:
  • 19492553
  • 1949-2553
url: Link


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titleNMR-based fecal metabolomics fingerprinting as predictors of earlier diagnosis in patients with colorectal cancer
creatorLin, Yan ; Ma, Changchun ; Liu, Chengkang ; Wang, Zhening ; Yang, Jurong ; Liu, Xinmu ; Shen, Zhiwei ; Wu, Renhua
ispartofOncotarget, 17 May 2016, Vol.7(20), pp.29454-64
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subject1h NMR Spectroscopy ; Opls-Da ; Colorectal Cancer ; Fecal Profile ; Metabolomics ; Colorectal Neoplasms -- Diagnosis ; Early Detection of Cancer -- Methods ; Feces -- Chemistry ; Metabolomics -- Methods ; Proton Magnetic Resonance Spectroscopy -- Methods
descriptionColorectal cancer (CRC) is a growing cause of mortality in developing countries, warranting investigation into its earlier detection for optimal disease management. A metabolomics based approach provides potential for noninvasive identification of biomarkers of colorectal carcinogenesis, as well as dissection of molecular pathways of pathophysiological conditions. Here, proton nuclear magnetic resonance spectroscopy (1HNMR) -based metabolomic approach was used to profile fecal metabolites of 68 CRC patients (stage I/II=20; stage III=25 and stage IV=23) and 32 healthy controls (HC). Pattern recognition through principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied on 1H-NMR processed data for dimension reduction. OPLS-DA revealed that each stage of CRC could be clearly distinguished from HC based on their metabolomic profiles. Successive analyses identified distinct disturbances to fecal metabolites of CRC patients at various stages,...
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titleNMR-based fecal metabolomics fingerprinting as predictors of earlier diagnosis in patients with colorectal cancer
descriptionColorectal cancer (CRC) is a growing cause of mortality in developing countries, warranting investigation into its earlier detection for optimal disease management. A metabolomics based approach provides potential for noninvasive identification of biomarkers of colorectal carcinogenesis, as well as dissection of molecular pathways of pathophysiological conditions. Here, proton nuclear magnetic resonance spectroscopy (1HNMR) -based metabolomic approach was used to profile fecal metabolites of 68 CRC patients (stage I/II=20; stage III=25 and stage IV=23) and 32 healthy controls (HC). Pattern recognition through principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied on 1H-NMR processed data for dimension reduction. OPLS-DA revealed that each stage of CRC could be clearly distinguished from HC based on their metabolomic profiles. Successive analyses identified distinct disturbances to fecal metabolites of CRC patients at various stages,...
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abstractColorectal cancer (CRC) is a growing cause of mortality in developing countries, warranting investigation into its earlier detection for optimal disease management. A metabolomics based approach provides potential for noninvasive identification of biomarkers of colorectal carcinogenesis, as well as dissection of molecular pathways of pathophysiological conditions. Here, proton nuclear magnetic resonance spectroscopy (1HNMR) -based metabolomic approach was used to profile fecal metabolites of 68 CRC patients (stage I/II=20; stage III=25 and stage IV=23) and 32 healthy controls (HC). Pattern recognition through principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied on 1H-NMR processed data for dimension reduction. OPLS-DA revealed that each stage of CRC could be clearly distinguished from HC based on their metabolomic profiles. Successive analyses identified distinct disturbances to fecal metabolites of CRC patients at various stages,...
doi10.18632/oncotarget.8762
pmid27107423
date2016-05-17