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Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages

BACKGROUND: The difficulties of early diagnosis of colorectal cancer (CRC) result in a high mortality rate. The ability to predict the response of a patient to surgical resection or chemotherapy may be of great value for clinicians when planning CRC treatments. Metabolomics is an emerging tool for b...

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Autores principales: Li, Zhuofei, Deng, Xingming, Luo, Jun, Lei, Yunpeng, Jin, Xinghan, Zhu, Jing, Lv, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855116/
https://www.ncbi.nlm.nih.gov/pubmed/35186705
http://dx.doi.org/10.3389/fonc.2021.574318
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author Li, Zhuofei
Deng, Xingming
Luo, Jun
Lei, Yunpeng
Jin, Xinghan
Zhu, Jing
Lv, Guoqing
author_facet Li, Zhuofei
Deng, Xingming
Luo, Jun
Lei, Yunpeng
Jin, Xinghan
Zhu, Jing
Lv, Guoqing
author_sort Li, Zhuofei
collection PubMed
description BACKGROUND: The difficulties of early diagnosis of colorectal cancer (CRC) result in a high mortality rate. The ability to predict the response of a patient to surgical resection or chemotherapy may be of great value for clinicians when planning CRC treatments. Metabolomics is an emerging tool for biomarker discovery in cancer research. Previous reports have indicated that the metabolic profile of individuals can be significantly altered between CRC patients and healthy controls. However, metabolic changes in CRC patients at different treatment stages have not been explored. METHODS: To this end, we performed nuclear magnetic resonance (NMR)-based metabolomic analysis to determine metabolite aberrations in CRC patients before and after surgical resection or chemotherapy. In general, a total of 106 urine samples from four clinical groups, namely, healthy volunteers (n = 31), presurgery CRC patients (n = 25), postsurgery CRC patients (n = 25), and postchemotherapy CRC patients (n = 25), were collected and subjected to further analysis. RESULTS: In the present study, we identified five candidate metabolites, namely, N-phenylacetylglycine, succinate, 4-hydroxyphenylacetate, acetate, and arabinose, in CRC patients compared with healthy individuals, three of which were reported for the first time. Furthermore, approximately ten metabolites were uniquely identified at each stage of CRC treatment, serving as good candidates for biomarker panel selection. CONCLUSION: In summary, these potential metabolite candidates may provide promising early diagnostic and monitoring approaches for CRC patients at different anticancer treatment stages.
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spelling pubmed-88551162022-02-19 Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages Li, Zhuofei Deng, Xingming Luo, Jun Lei, Yunpeng Jin, Xinghan Zhu, Jing Lv, Guoqing Front Oncol Oncology BACKGROUND: The difficulties of early diagnosis of colorectal cancer (CRC) result in a high mortality rate. The ability to predict the response of a patient to surgical resection or chemotherapy may be of great value for clinicians when planning CRC treatments. Metabolomics is an emerging tool for biomarker discovery in cancer research. Previous reports have indicated that the metabolic profile of individuals can be significantly altered between CRC patients and healthy controls. However, metabolic changes in CRC patients at different treatment stages have not been explored. METHODS: To this end, we performed nuclear magnetic resonance (NMR)-based metabolomic analysis to determine metabolite aberrations in CRC patients before and after surgical resection or chemotherapy. In general, a total of 106 urine samples from four clinical groups, namely, healthy volunteers (n = 31), presurgery CRC patients (n = 25), postsurgery CRC patients (n = 25), and postchemotherapy CRC patients (n = 25), were collected and subjected to further analysis. RESULTS: In the present study, we identified five candidate metabolites, namely, N-phenylacetylglycine, succinate, 4-hydroxyphenylacetate, acetate, and arabinose, in CRC patients compared with healthy individuals, three of which were reported for the first time. Furthermore, approximately ten metabolites were uniquely identified at each stage of CRC treatment, serving as good candidates for biomarker panel selection. CONCLUSION: In summary, these potential metabolite candidates may provide promising early diagnostic and monitoring approaches for CRC patients at different anticancer treatment stages. Frontiers Media S.A. 2022-02-04 /pmc/articles/PMC8855116/ /pubmed/35186705 http://dx.doi.org/10.3389/fonc.2021.574318 Text en Copyright © 2022 Li, Deng, Luo, Lei, Jin, Zhu and Lv https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Li, Zhuofei
Deng, Xingming
Luo, Jun
Lei, Yunpeng
Jin, Xinghan
Zhu, Jing
Lv, Guoqing
Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages
title Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages
title_full Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages
title_fullStr Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages
title_full_unstemmed Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages
title_short Metabolomic Comparison of Patients With Colorectal Cancer at Different Anticancer Treatment Stages
title_sort metabolomic comparison of patients with colorectal cancer at different anticancer treatment stages
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855116/
https://www.ncbi.nlm.nih.gov/pubmed/35186705
http://dx.doi.org/10.3389/fonc.2021.574318
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