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Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry

Lymph node metastasis remains a key factor that affects the prognosis of patients with colon cancer. The aim of the present study was to identify and evaluate serum metabolites as biomarkers for the detection of tumor lymph node metastasis and the prediction of patient survival. The present study an...

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Autores principales: Zhang, Yang, Du, Yechao, Song, Zheyu, Liu, Suoning, Li, Wei, Wang, Daguang, Suo, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204625/
https://www.ncbi.nlm.nih.gov/pubmed/32391103
http://dx.doi.org/10.3892/ol.2020.11510
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author Zhang, Yang
Du, Yechao
Song, Zheyu
Liu, Suoning
Li, Wei
Wang, Daguang
Suo, Jian
author_facet Zhang, Yang
Du, Yechao
Song, Zheyu
Liu, Suoning
Li, Wei
Wang, Daguang
Suo, Jian
author_sort Zhang, Yang
collection PubMed
description Lymph node metastasis remains a key factor that affects the prognosis of patients with colon cancer. The aim of the present study was to identify and evaluate serum metabolites as biomarkers for the detection of tumor lymph node metastasis and the prediction of patient survival. The present study analyzed the metabolites in the serum of patients with advanced colon cancer both with and without lymph node metastasis. Blood samples from 104 patients with stage T3 colon cancer were collected and analyzed using liquid chromatography-mass spectrometry. The metabolites were structurally confirmed with data from the Human Metabolome Database. The association between the serum metabolites and the clinicopathological characteristics and survival time of patients from the present study was analyzed. Overall, 227 different metabolites were identified in the serum of patients with stage T3 colon cancer with or without lymph node metastasis. Furthermore, 17 of these metabolites may potentially distinguish those patients with lymph node metastasis from those patients without. In addition, five factors, including abscisic acid, calcitroic acid and glucosylsphingosine presence in the serum, age and sex, were identified as independent predictors for lymph node metastasis (P<0.05). Furthermore, three factors, including abscisic acid, calcitroic acid and glucosylsphingosine presence in the serum were independent predictors for patient survival (P<0.05). In conclusion, the serum levels of abscisic acid, calcitroic-acid and glucosylsphingosine may be considered as potential biomarkers to predict the occurrence of lymph node metastasis and the survival time of patients with colon cancer.
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spelling pubmed-72046252020-05-08 Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry Zhang, Yang Du, Yechao Song, Zheyu Liu, Suoning Li, Wei Wang, Daguang Suo, Jian Oncol Lett Articles Lymph node metastasis remains a key factor that affects the prognosis of patients with colon cancer. The aim of the present study was to identify and evaluate serum metabolites as biomarkers for the detection of tumor lymph node metastasis and the prediction of patient survival. The present study analyzed the metabolites in the serum of patients with advanced colon cancer both with and without lymph node metastasis. Blood samples from 104 patients with stage T3 colon cancer were collected and analyzed using liquid chromatography-mass spectrometry. The metabolites were structurally confirmed with data from the Human Metabolome Database. The association between the serum metabolites and the clinicopathological characteristics and survival time of patients from the present study was analyzed. Overall, 227 different metabolites were identified in the serum of patients with stage T3 colon cancer with or without lymph node metastasis. Furthermore, 17 of these metabolites may potentially distinguish those patients with lymph node metastasis from those patients without. In addition, five factors, including abscisic acid, calcitroic acid and glucosylsphingosine presence in the serum, age and sex, were identified as independent predictors for lymph node metastasis (P<0.05). Furthermore, three factors, including abscisic acid, calcitroic acid and glucosylsphingosine presence in the serum were independent predictors for patient survival (P<0.05). In conclusion, the serum levels of abscisic acid, calcitroic-acid and glucosylsphingosine may be considered as potential biomarkers to predict the occurrence of lymph node metastasis and the survival time of patients with colon cancer. D.A. Spandidos 2020-06 2020-04-03 /pmc/articles/PMC7204625/ /pubmed/32391103 http://dx.doi.org/10.3892/ol.2020.11510 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Articles
Zhang, Yang
Du, Yechao
Song, Zheyu
Liu, Suoning
Li, Wei
Wang, Daguang
Suo, Jian
Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry
title Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry
title_full Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry
title_fullStr Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry
title_full_unstemmed Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry
title_short Profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry
title_sort profiling of serum metabolites in advanced colon cancer using liquid chromatography-mass spectrometry
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204625/
https://www.ncbi.nlm.nih.gov/pubmed/32391103
http://dx.doi.org/10.3892/ol.2020.11510
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