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Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry
Research on molecular mechanisms of carcinogenesis plays an important role in diagnosing and treating gastric cancer. Metabolic profiling may offer the opportunity to understand the molecular mechanism of carcinogenesis and help to non-invasively identify the potential biomarkers for the early diagn...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Medicina Tropical
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3854141/ https://www.ncbi.nlm.nih.gov/pubmed/22124703 http://dx.doi.org/10.1590/S0100-879X2011007500158 |
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author | Song, Hu Peng, Jun-Sheng Yao, Dong-Sheng Yang, Zu-Li Liu, Huan-Liang Zeng, Yi-Ke Shi, Xian-Ping Lu, Bi-Yan |
author_facet | Song, Hu Peng, Jun-Sheng Yao, Dong-Sheng Yang, Zu-Li Liu, Huan-Liang Zeng, Yi-Ke Shi, Xian-Ping Lu, Bi-Yan |
author_sort | Song, Hu |
collection | PubMed |
description | Research on molecular mechanisms of carcinogenesis plays an important role in diagnosing and treating gastric cancer. Metabolic profiling may offer the opportunity to understand the molecular mechanism of carcinogenesis and help to non-invasively identify the potential biomarkers for the early diagnosis of human gastric cancer. The aims of this study were to explore the underlying metabolic mechanisms of gastric cancer and to identify biomarkers associated with morbidity. Gas chromatography/mass spectrometry (GC/MS) was used to analyze the serum metabolites of 30 Chinese gastric cancer patients and 30 healthy controls. Diagnostic models for gastric cancer were constructed using orthogonal partial least squares discriminant analysis (OPLS-DA). Acquired metabolomic data were analyzed by the nonparametric Wilcoxon test to find serum metabolic biomarkers for gastric cancer. The OPLS-DA model showed adequate discrimination between cancer and non-cancer cohorts while the model failed to discriminate different pathological stages (I-IV) of gastric cancer patients. A total of 44 endogenous metabolites such as amino acids, organic acids, carbohydrates, fatty acids, and steroids were detected, of which 18 differential metabolites were identified with significant differences. A total of 13 variables were obtained for their greatest contribution in the discriminating OPLS-DA model [variable importance in the projection (VIP) value >1.0], among which 11 metabolites were identified using both VIP values (VIP >1) and the Wilcoxon test. These metabolites potentially revealed perturbations of glycolysis and of amino acid, fatty acid, cholesterol, and nucleotide metabolism of gastric cancer patients. These results suggest that gastric cancer serum metabolic profiling has great potential in detecting this disease and helping to understand its metabolic mechanisms. |
format | Online Article Text |
id | pubmed-3854141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Sociedade Brasileira de Medicina Tropical |
record_format | MEDLINE/PubMed |
spelling | pubmed-38541412013-12-16 Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry Song, Hu Peng, Jun-Sheng Yao, Dong-Sheng Yang, Zu-Li Liu, Huan-Liang Zeng, Yi-Ke Shi, Xian-Ping Lu, Bi-Yan Braz J Med Biol Res Short Communication Research on molecular mechanisms of carcinogenesis plays an important role in diagnosing and treating gastric cancer. Metabolic profiling may offer the opportunity to understand the molecular mechanism of carcinogenesis and help to non-invasively identify the potential biomarkers for the early diagnosis of human gastric cancer. The aims of this study were to explore the underlying metabolic mechanisms of gastric cancer and to identify biomarkers associated with morbidity. Gas chromatography/mass spectrometry (GC/MS) was used to analyze the serum metabolites of 30 Chinese gastric cancer patients and 30 healthy controls. Diagnostic models for gastric cancer were constructed using orthogonal partial least squares discriminant analysis (OPLS-DA). Acquired metabolomic data were analyzed by the nonparametric Wilcoxon test to find serum metabolic biomarkers for gastric cancer. The OPLS-DA model showed adequate discrimination between cancer and non-cancer cohorts while the model failed to discriminate different pathological stages (I-IV) of gastric cancer patients. A total of 44 endogenous metabolites such as amino acids, organic acids, carbohydrates, fatty acids, and steroids were detected, of which 18 differential metabolites were identified with significant differences. A total of 13 variables were obtained for their greatest contribution in the discriminating OPLS-DA model [variable importance in the projection (VIP) value >1.0], among which 11 metabolites were identified using both VIP values (VIP >1) and the Wilcoxon test. These metabolites potentially revealed perturbations of glycolysis and of amino acid, fatty acid, cholesterol, and nucleotide metabolism of gastric cancer patients. These results suggest that gastric cancer serum metabolic profiling has great potential in detecting this disease and helping to understand its metabolic mechanisms. Sociedade Brasileira de Medicina Tropical 2011-11-25 /pmc/articles/PMC3854141/ /pubmed/22124703 http://dx.doi.org/10.1590/S0100-879X2011007500158 Text en http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Communication Song, Hu Peng, Jun-Sheng Yao, Dong-Sheng Yang, Zu-Li Liu, Huan-Liang Zeng, Yi-Ke Shi, Xian-Ping Lu, Bi-Yan Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry |
title | Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry |
title_full | Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry |
title_fullStr | Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry |
title_full_unstemmed | Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry |
title_short | Serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry |
title_sort | serum metabolic profiling of human gastric cancer based on gas chromatography/mass spectrometry |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3854141/ https://www.ncbi.nlm.nih.gov/pubmed/22124703 http://dx.doi.org/10.1590/S0100-879X2011007500158 |
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