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Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach
Papillary thyroid microcarcinoma (PTMC) is a subtype of papillary thyroid carcinoma (PTC). Because its diameter is less than 10 mm, diagnosing it accurately is difficult with traditional methods such as image examinations and FNA (Fine Needle Aspiration). Investigating the metabolic changes induced...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348428/ https://www.ncbi.nlm.nih.gov/pubmed/27835583 http://dx.doi.org/10.18632/oncotarget.13178 |
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author | Lu, Jinghui Hu, Sanyuan Miccoli, Paolo Zeng, Qingdong Liu, Shaozhuang Ran, Lin Hu, Chunxiao |
author_facet | Lu, Jinghui Hu, Sanyuan Miccoli, Paolo Zeng, Qingdong Liu, Shaozhuang Ran, Lin Hu, Chunxiao |
author_sort | Lu, Jinghui |
collection | PubMed |
description | Papillary thyroid microcarcinoma (PTMC) is a subtype of papillary thyroid carcinoma (PTC). Because its diameter is less than 10 mm, diagnosing it accurately is difficult with traditional methods such as image examinations and FNA (Fine Needle Aspiration). Investigating the metabolic changes induced by PTMC may enhance the understanding of its pathogenesis and provide important information for a new diagnosis method and treatment plan. In this study, high resolution magic angle spin (HRMAS) spectroscopy and (1)H-nuclear magnetic resonance ((1)H-NMR) spectroscopy were used to screen metabolic changes in thyroid tissues and plasma from PTMC patients respectively. The results revealed reduced levels of fatty acids and elevated levels of several amino acids (phenylalanine, tyrosine, lactate, serine, cystine, lysine, glutamine/glutamate, taurine, leucine, alanine, isoleucine and valine) in thyroid tissues, as well as reduced levels of amino acids such as valine, tyrosine, proline, lysine, leucine and elevated levels of glucose, mannose, pyruvate and 3-hydroxybutyrate in plasma, are involved in the metabolic alterations in PTMC. In addition, a receiver operating characteristic (ROC) curve model for PTMC prediction was able to classify cases with good sensitivity and specificity using 9 significant changed metabolites in plasma. This work illustrates that the NMR-based metabolomics approach is capable of providing more sensitive diagnostic results and more systematic therapeutic information for PTMC. |
format | Online Article Text |
id | pubmed-5348428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53484282017-03-31 Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach Lu, Jinghui Hu, Sanyuan Miccoli, Paolo Zeng, Qingdong Liu, Shaozhuang Ran, Lin Hu, Chunxiao Oncotarget Research Paper Papillary thyroid microcarcinoma (PTMC) is a subtype of papillary thyroid carcinoma (PTC). Because its diameter is less than 10 mm, diagnosing it accurately is difficult with traditional methods such as image examinations and FNA (Fine Needle Aspiration). Investigating the metabolic changes induced by PTMC may enhance the understanding of its pathogenesis and provide important information for a new diagnosis method and treatment plan. In this study, high resolution magic angle spin (HRMAS) spectroscopy and (1)H-nuclear magnetic resonance ((1)H-NMR) spectroscopy were used to screen metabolic changes in thyroid tissues and plasma from PTMC patients respectively. The results revealed reduced levels of fatty acids and elevated levels of several amino acids (phenylalanine, tyrosine, lactate, serine, cystine, lysine, glutamine/glutamate, taurine, leucine, alanine, isoleucine and valine) in thyroid tissues, as well as reduced levels of amino acids such as valine, tyrosine, proline, lysine, leucine and elevated levels of glucose, mannose, pyruvate and 3-hydroxybutyrate in plasma, are involved in the metabolic alterations in PTMC. In addition, a receiver operating characteristic (ROC) curve model for PTMC prediction was able to classify cases with good sensitivity and specificity using 9 significant changed metabolites in plasma. This work illustrates that the NMR-based metabolomics approach is capable of providing more sensitive diagnostic results and more systematic therapeutic information for PTMC. Impact Journals LLC 2016-11-07 /pmc/articles/PMC5348428/ /pubmed/27835583 http://dx.doi.org/10.18632/oncotarget.13178 Text en Copyright: © 2016 Lu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Lu, Jinghui Hu, Sanyuan Miccoli, Paolo Zeng, Qingdong Liu, Shaozhuang Ran, Lin Hu, Chunxiao Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach |
title | Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach |
title_full | Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach |
title_fullStr | Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach |
title_full_unstemmed | Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach |
title_short | Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach |
title_sort | non-invasive diagnosis of papillary thyroid microcarcinoma: a nmr-based metabolomics approach |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348428/ https://www.ncbi.nlm.nih.gov/pubmed/27835583 http://dx.doi.org/10.18632/oncotarget.13178 |
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