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Global metabolomics profiling of colorectal cancer in Malaysian patients

[Image: see text] Introduction: The serum metabolomics approach has been used to identify metabolite biomarkers that can diagnose colorectal cancer (CRC) accurately and specifically. However, the biomarkers identified differ between studies suggesting that more studies need to be performed to unders...

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Autores principales: Amir Hashim, Nurul Azmir, Ab-Rahim, Sharaniza, Wan Ngah, Wan Zurinah, Nathan, Sheila, Ab Mutalib, Nurul Syakima, Sagap, Ismail, A. Jamal, A. Rahman, Mazlan, Musalmah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tabriz University of Medical Sciences (TUOMS Publishing Group) 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803921/
https://www.ncbi.nlm.nih.gov/pubmed/33469506
http://dx.doi.org/10.34172/bi.2021.05
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author Amir Hashim, Nurul Azmir
Ab-Rahim, Sharaniza
Wan Ngah, Wan Zurinah
Nathan, Sheila
Ab Mutalib, Nurul Syakima
Sagap, Ismail
A. Jamal, A. Rahman
Mazlan, Musalmah
author_facet Amir Hashim, Nurul Azmir
Ab-Rahim, Sharaniza
Wan Ngah, Wan Zurinah
Nathan, Sheila
Ab Mutalib, Nurul Syakima
Sagap, Ismail
A. Jamal, A. Rahman
Mazlan, Musalmah
author_sort Amir Hashim, Nurul Azmir
collection PubMed
description [Image: see text] Introduction: The serum metabolomics approach has been used to identify metabolite biomarkers that can diagnose colorectal cancer (CRC) accurately and specifically. However, the biomarkers identified differ between studies suggesting that more studies need to be performed to understand the influence of genetic and environmental factors. Therefore, this study aimed to identify biomarkers and affected metabolic pathways in Malaysian CRC patients. Methods: Serum from 50 healthy controls and 50 CRC patients were collected at UKM Medical Centre. The samples were deproteinized with acetonitrile and untargeted metabolomics profile determined using liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOFMS, Agilent USA). The data were analysed using Mass Profiler Professional (Agilent, USA) software. The panel of biomarkers determined were then used to identify CRC from a new set of 20 matched samples. Results: Eleven differential metabolites were identified whose levels were significantly different between CRC patients compared to normal controls. Based on the analysis of the area under the curve, 7 of these metabolites showed high sensitivity and specificity as biomarkers. The use of the 11 metabolites on a new set of samples was able to differentiate CRC from normal samples with 80% accuracy. These metabolites were hypoxanthine, acetylcarnitine, xanthine, uric acid, tyrosine, methionine, lysoPC, lysoPE, citric acid, 5-oxoproline, and pipercolic acid. The data also showed that the most perturbed pathways in CRC were purine, catecholamine, and amino acid metabolisms. Conclusion: Serum metabolomics profiling can be used to identify distinguishing biomarkers for CRC as well as to further our knowledge of its pathophysiological mechanisms.
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spelling pubmed-78039212021-01-18 Global metabolomics profiling of colorectal cancer in Malaysian patients Amir Hashim, Nurul Azmir Ab-Rahim, Sharaniza Wan Ngah, Wan Zurinah Nathan, Sheila Ab Mutalib, Nurul Syakima Sagap, Ismail A. Jamal, A. Rahman Mazlan, Musalmah Bioimpacts Original Research [Image: see text] Introduction: The serum metabolomics approach has been used to identify metabolite biomarkers that can diagnose colorectal cancer (CRC) accurately and specifically. However, the biomarkers identified differ between studies suggesting that more studies need to be performed to understand the influence of genetic and environmental factors. Therefore, this study aimed to identify biomarkers and affected metabolic pathways in Malaysian CRC patients. Methods: Serum from 50 healthy controls and 50 CRC patients were collected at UKM Medical Centre. The samples were deproteinized with acetonitrile and untargeted metabolomics profile determined using liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOFMS, Agilent USA). The data were analysed using Mass Profiler Professional (Agilent, USA) software. The panel of biomarkers determined were then used to identify CRC from a new set of 20 matched samples. Results: Eleven differential metabolites were identified whose levels were significantly different between CRC patients compared to normal controls. Based on the analysis of the area under the curve, 7 of these metabolites showed high sensitivity and specificity as biomarkers. The use of the 11 metabolites on a new set of samples was able to differentiate CRC from normal samples with 80% accuracy. These metabolites were hypoxanthine, acetylcarnitine, xanthine, uric acid, tyrosine, methionine, lysoPC, lysoPE, citric acid, 5-oxoproline, and pipercolic acid. The data also showed that the most perturbed pathways in CRC were purine, catecholamine, and amino acid metabolisms. Conclusion: Serum metabolomics profiling can be used to identify distinguishing biomarkers for CRC as well as to further our knowledge of its pathophysiological mechanisms. Tabriz University of Medical Sciences (TUOMS Publishing Group) 2021 2020-03-24 /pmc/articles/PMC7803921/ /pubmed/33469506 http://dx.doi.org/10.34172/bi.2021.05 Text en © 2021 The Author(s) This work is published by BioImpacts as an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/4.0/ ). Non-commercial uses of the work are permitted, provided the original work is properly cited.
spellingShingle Original Research
Amir Hashim, Nurul Azmir
Ab-Rahim, Sharaniza
Wan Ngah, Wan Zurinah
Nathan, Sheila
Ab Mutalib, Nurul Syakima
Sagap, Ismail
A. Jamal, A. Rahman
Mazlan, Musalmah
Global metabolomics profiling of colorectal cancer in Malaysian patients
title Global metabolomics profiling of colorectal cancer in Malaysian patients
title_full Global metabolomics profiling of colorectal cancer in Malaysian patients
title_fullStr Global metabolomics profiling of colorectal cancer in Malaysian patients
title_full_unstemmed Global metabolomics profiling of colorectal cancer in Malaysian patients
title_short Global metabolomics profiling of colorectal cancer in Malaysian patients
title_sort global metabolomics profiling of colorectal cancer in malaysian patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803921/
https://www.ncbi.nlm.nih.gov/pubmed/33469506
http://dx.doi.org/10.34172/bi.2021.05
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