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Plasma sample based analysis of gastric cancer progression using targeted metabolomics
Gastric carcinogenesis is a multifactorial process described as a stepwise progression from non-active gastritis (NAG), chronic active gastritis (CAG), precursor lesions of gastric cancer (PLGC) and gastric adenocarcinoma. Gastric cancer (GC) 5-year survival rate is highly dependent upon stage of di...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736578/ https://www.ncbi.nlm.nih.gov/pubmed/29259332 http://dx.doi.org/10.1038/s41598-017-17921-x |
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author | Lario, Sergio Ramírez-Lázaro, Maria José Sanjuan-Herráez, Daniel Brunet-Vega, Anna Pericay, Carles Gombau, Lourdes Junquera, Félix Quintás, Guillermo Calvet, Xavier |
author_facet | Lario, Sergio Ramírez-Lázaro, Maria José Sanjuan-Herráez, Daniel Brunet-Vega, Anna Pericay, Carles Gombau, Lourdes Junquera, Félix Quintás, Guillermo Calvet, Xavier |
author_sort | Lario, Sergio |
collection | PubMed |
description | Gastric carcinogenesis is a multifactorial process described as a stepwise progression from non-active gastritis (NAG), chronic active gastritis (CAG), precursor lesions of gastric cancer (PLGC) and gastric adenocarcinoma. Gastric cancer (GC) 5-year survival rate is highly dependent upon stage of disease at diagnosis, which is based on endoscopy, biopsy and pathological examinations. Non-invasive GC biomarkers would facilitate its diagnosis at early stages leading to improved GC prognosis. We analyzed plasma samples collected from 80 patients diagnosed with NAG without H. pylori infection (NAG−), CAG with H. pylori infection (CAG+), PLGC and GC. A panel of 208 metabolites including acylcarnitines, amino acids and biogenic amines, sphingolipids, glycerophospholipids, hexoses, and tryptophan and phenylalanine metabolites were quantified using two complementary quantitative approaches: Biocrates AbsoluteIDQ®p180 kit and a LC-MS method designed for the analysis of 29 tryptophan pathway and phenylalanine metabolites. Significantly altered metabolic profiles were found in GC patients that allowing discrimination from NAG−, CAG+ and PLGC patients. Pathway analysis showed significantly altered tryptophan and nitrogen metabolic pathways (FDR P < 0.01). Three metabolites (histidine, tryprophan and phenylacetylglutamine) discriminated between non-GC and GC groups. These metabolic signatures open new possibilities to improve surveillance of PLGC patients using a minimally invasive blood analysis. |
format | Online Article Text |
id | pubmed-5736578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57365782017-12-21 Plasma sample based analysis of gastric cancer progression using targeted metabolomics Lario, Sergio Ramírez-Lázaro, Maria José Sanjuan-Herráez, Daniel Brunet-Vega, Anna Pericay, Carles Gombau, Lourdes Junquera, Félix Quintás, Guillermo Calvet, Xavier Sci Rep Article Gastric carcinogenesis is a multifactorial process described as a stepwise progression from non-active gastritis (NAG), chronic active gastritis (CAG), precursor lesions of gastric cancer (PLGC) and gastric adenocarcinoma. Gastric cancer (GC) 5-year survival rate is highly dependent upon stage of disease at diagnosis, which is based on endoscopy, biopsy and pathological examinations. Non-invasive GC biomarkers would facilitate its diagnosis at early stages leading to improved GC prognosis. We analyzed plasma samples collected from 80 patients diagnosed with NAG without H. pylori infection (NAG−), CAG with H. pylori infection (CAG+), PLGC and GC. A panel of 208 metabolites including acylcarnitines, amino acids and biogenic amines, sphingolipids, glycerophospholipids, hexoses, and tryptophan and phenylalanine metabolites were quantified using two complementary quantitative approaches: Biocrates AbsoluteIDQ®p180 kit and a LC-MS method designed for the analysis of 29 tryptophan pathway and phenylalanine metabolites. Significantly altered metabolic profiles were found in GC patients that allowing discrimination from NAG−, CAG+ and PLGC patients. Pathway analysis showed significantly altered tryptophan and nitrogen metabolic pathways (FDR P < 0.01). Three metabolites (histidine, tryprophan and phenylacetylglutamine) discriminated between non-GC and GC groups. These metabolic signatures open new possibilities to improve surveillance of PLGC patients using a minimally invasive blood analysis. Nature Publishing Group UK 2017-12-19 /pmc/articles/PMC5736578/ /pubmed/29259332 http://dx.doi.org/10.1038/s41598-017-17921-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lario, Sergio Ramírez-Lázaro, Maria José Sanjuan-Herráez, Daniel Brunet-Vega, Anna Pericay, Carles Gombau, Lourdes Junquera, Félix Quintás, Guillermo Calvet, Xavier Plasma sample based analysis of gastric cancer progression using targeted metabolomics |
title | Plasma sample based analysis of gastric cancer progression using targeted metabolomics |
title_full | Plasma sample based analysis of gastric cancer progression using targeted metabolomics |
title_fullStr | Plasma sample based analysis of gastric cancer progression using targeted metabolomics |
title_full_unstemmed | Plasma sample based analysis of gastric cancer progression using targeted metabolomics |
title_short | Plasma sample based analysis of gastric cancer progression using targeted metabolomics |
title_sort | plasma sample based analysis of gastric cancer progression using targeted metabolomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736578/ https://www.ncbi.nlm.nih.gov/pubmed/29259332 http://dx.doi.org/10.1038/s41598-017-17921-x |
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