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Identification of Gastric Cancer Biomarkers Using (1)H Nuclear Magnetic Resonance Spectrometry
Existing gastric cancer diagnosing methods were invasive, hence, a reliable non-invasive gastric cancer diagnosing method is needed. As a starting point, we used 1H NMR for identifying gastric cancer biomarkers using a panel of gastric cancer spheroids and normal gastric spheroids. We were able to i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017672/ https://www.ncbi.nlm.nih.gov/pubmed/27611679 http://dx.doi.org/10.1371/journal.pone.0162222 |
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author | Ramachandran, Gokula Krishnan Yong, Wei Peng Yeow, Chen Hua |
author_facet | Ramachandran, Gokula Krishnan Yong, Wei Peng Yeow, Chen Hua |
author_sort | Ramachandran, Gokula Krishnan |
collection | PubMed |
description | Existing gastric cancer diagnosing methods were invasive, hence, a reliable non-invasive gastric cancer diagnosing method is needed. As a starting point, we used 1H NMR for identifying gastric cancer biomarkers using a panel of gastric cancer spheroids and normal gastric spheroids. We were able to identify 8 chemical shift biomarkers for gastric cancer spheroids. Our data suggests that the cancerous and non-cancerous spheroids significantly differ in the lipid composition and energy metabolism. These results encourage the translation of these biomarkers into in-vivo gastric cancer detection methodology using MRI-MS. |
format | Online Article Text |
id | pubmed-5017672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50176722016-09-27 Identification of Gastric Cancer Biomarkers Using (1)H Nuclear Magnetic Resonance Spectrometry Ramachandran, Gokula Krishnan Yong, Wei Peng Yeow, Chen Hua PLoS One Research Article Existing gastric cancer diagnosing methods were invasive, hence, a reliable non-invasive gastric cancer diagnosing method is needed. As a starting point, we used 1H NMR for identifying gastric cancer biomarkers using a panel of gastric cancer spheroids and normal gastric spheroids. We were able to identify 8 chemical shift biomarkers for gastric cancer spheroids. Our data suggests that the cancerous and non-cancerous spheroids significantly differ in the lipid composition and energy metabolism. These results encourage the translation of these biomarkers into in-vivo gastric cancer detection methodology using MRI-MS. Public Library of Science 2016-09-09 /pmc/articles/PMC5017672/ /pubmed/27611679 http://dx.doi.org/10.1371/journal.pone.0162222 Text en © 2016 Ramachandran et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ramachandran, Gokula Krishnan Yong, Wei Peng Yeow, Chen Hua Identification of Gastric Cancer Biomarkers Using (1)H Nuclear Magnetic Resonance Spectrometry |
title | Identification of Gastric Cancer Biomarkers Using (1)H Nuclear Magnetic Resonance Spectrometry |
title_full | Identification of Gastric Cancer Biomarkers Using (1)H Nuclear Magnetic Resonance Spectrometry |
title_fullStr | Identification of Gastric Cancer Biomarkers Using (1)H Nuclear Magnetic Resonance Spectrometry |
title_full_unstemmed | Identification of Gastric Cancer Biomarkers Using (1)H Nuclear Magnetic Resonance Spectrometry |
title_short | Identification of Gastric Cancer Biomarkers Using (1)H Nuclear Magnetic Resonance Spectrometry |
title_sort | identification of gastric cancer biomarkers using (1)h nuclear magnetic resonance spectrometry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017672/ https://www.ncbi.nlm.nih.gov/pubmed/27611679 http://dx.doi.org/10.1371/journal.pone.0162222 |
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