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Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer
Clinical diagnosis of esophageal cancer (EC) at early stage is rather difficult. This study aimed to profile the molecules in serum and tissue and identify potential biomarkers in patients with EC. A total of 64 volunteers were recruited, and 83 samples (24 EC serum samples, 21 serum controls, 19 pa...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415862/ https://www.ncbi.nlm.nih.gov/pubmed/28512469 http://dx.doi.org/10.1155/2017/5469597 |
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author | Zhu, Xianlan Wang, Kun Liu, Gaoshuang Wang, Yuqing Xu, Jin Liu, Linsheng Li, Mengjie Shi, Jian Aa, Jiye Yu, Lianzhen |
author_facet | Zhu, Xianlan Wang, Kun Liu, Gaoshuang Wang, Yuqing Xu, Jin Liu, Linsheng Li, Mengjie Shi, Jian Aa, Jiye Yu, Lianzhen |
author_sort | Zhu, Xianlan |
collection | PubMed |
description | Clinical diagnosis of esophageal cancer (EC) at early stage is rather difficult. This study aimed to profile the molecules in serum and tissue and identify potential biomarkers in patients with EC. A total of 64 volunteers were recruited, and 83 samples (24 EC serum samples, 21 serum controls, 19 paired EC tissues, and corresponding tumor-adjacent tissues) were analyzed. The gas chromatography time-of-flight mass spectrometry (GC/TOF-MS) was employed, and principal component analysis was used to reveal the discriminatory metabolites and identify the candidate markers of EC. A total of 41 in serum and 36 identified compounds in tissues were relevant to the malignant prognosis. A marked metabolic reprogramming of EC was observed, including enhanced anaerobic glycolysis and glutaminolysis, inhibited tricarboxylic acid (TCA) cycle, and altered lipid metabolism and amino acid turnover. Based on the potential markers of glucose, glutamic acid, lactic acid, and cholesterol, the receiver operating characteristic (ROC) curves indicated good diagnosis and prognosis of EC. EC patients showed distinct reprogrammed metabolism involved in glycolysis, TCA cycle, glutaminolysis, and fatty acid metabolism. The pivotal molecules in the metabolic pathways were suggested as the potential markers to facilitate the early diagnosis of human EC. |
format | Online Article Text |
id | pubmed-5415862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-54158622017-05-16 Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer Zhu, Xianlan Wang, Kun Liu, Gaoshuang Wang, Yuqing Xu, Jin Liu, Linsheng Li, Mengjie Shi, Jian Aa, Jiye Yu, Lianzhen Gastroenterol Res Pract Research Article Clinical diagnosis of esophageal cancer (EC) at early stage is rather difficult. This study aimed to profile the molecules in serum and tissue and identify potential biomarkers in patients with EC. A total of 64 volunteers were recruited, and 83 samples (24 EC serum samples, 21 serum controls, 19 paired EC tissues, and corresponding tumor-adjacent tissues) were analyzed. The gas chromatography time-of-flight mass spectrometry (GC/TOF-MS) was employed, and principal component analysis was used to reveal the discriminatory metabolites and identify the candidate markers of EC. A total of 41 in serum and 36 identified compounds in tissues were relevant to the malignant prognosis. A marked metabolic reprogramming of EC was observed, including enhanced anaerobic glycolysis and glutaminolysis, inhibited tricarboxylic acid (TCA) cycle, and altered lipid metabolism and amino acid turnover. Based on the potential markers of glucose, glutamic acid, lactic acid, and cholesterol, the receiver operating characteristic (ROC) curves indicated good diagnosis and prognosis of EC. EC patients showed distinct reprogrammed metabolism involved in glycolysis, TCA cycle, glutaminolysis, and fatty acid metabolism. The pivotal molecules in the metabolic pathways were suggested as the potential markers to facilitate the early diagnosis of human EC. Hindawi 2017 2017-04-20 /pmc/articles/PMC5415862/ /pubmed/28512469 http://dx.doi.org/10.1155/2017/5469597 Text en Copyright © 2017 Xianlan Zhu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhu, Xianlan Wang, Kun Liu, Gaoshuang Wang, Yuqing Xu, Jin Liu, Linsheng Li, Mengjie Shi, Jian Aa, Jiye Yu, Lianzhen Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer |
title | Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer |
title_full | Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer |
title_fullStr | Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer |
title_full_unstemmed | Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer |
title_short | Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer |
title_sort | metabolic perturbation and potential markers in patients with esophageal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415862/ https://www.ncbi.nlm.nih.gov/pubmed/28512469 http://dx.doi.org/10.1155/2017/5469597 |
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