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...
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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 1H-nuclear magnetic resonance (1H-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. |
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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 1H-nuclear magnetic resonance (1H-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.</description><identifier>ISSN: 1949-2553</identifier><identifier>EISSN: 1949-2553</identifier><identifier>DOI: 10.18632/oncotarget.13178</identifier><identifier>PMID: 27835583</identifier><language>eng</language><publisher>United States: Impact Journals LLC</publisher><subject>Adult ; Area Under Curve ; Biomarkers, Tumor - blood ; Biomarkers, Tumor - metabolism ; Carcinoma, Papillary - blood ; Carcinoma, Papillary - metabolism ; Carcinoma, Papillary - pathology ; Case-Control Studies ; Female ; Humans ; Male ; Metabolomics - methods ; Middle Aged ; Predictive Value of Tests ; Prognosis ; Prospective Studies ; Proton Magnetic Resonance Spectroscopy ; Reproducibility of Results ; Research Paper ; ROC Curve ; Thyroid Neoplasms - blood ; Thyroid Neoplasms - metabolism ; Thyroid Neoplasms - pathology ; Tumor Burden</subject><ispartof>Oncotarget, 2016-12, Vol.7 (49), p.81768-81777</ispartof><rights>Copyright: © 2016 Lu et al. 2016</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-6b4d655d3742f67983586b93bd4323b8f69f0c66888ef0d6fa1752b64bb8755e3</citedby><cites>FETCH-LOGICAL-c422t-6b4d655d3742f67983586b93bd4323b8f69f0c66888ef0d6fa1752b64bb8755e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348428/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348428/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27835583$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lu, Jinghui</creatorcontrib><creatorcontrib>Hu, Sanyuan</creatorcontrib><creatorcontrib>Miccoli, Paolo</creatorcontrib><creatorcontrib>Zeng, Qingdong</creatorcontrib><creatorcontrib>Liu, Shaozhuang</creatorcontrib><creatorcontrib>Ran, Lin</creatorcontrib><creatorcontrib>Hu, Chunxiao</creatorcontrib><title>Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach</title><title>Oncotarget</title><addtitle>Oncotarget</addtitle><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 1H-nuclear magnetic resonance (1H-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.</description><subject>Adult</subject><subject>Area Under Curve</subject><subject>Biomarkers, Tumor - blood</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Carcinoma, Papillary - blood</subject><subject>Carcinoma, Papillary - metabolism</subject><subject>Carcinoma, Papillary - pathology</subject><subject>Case-Control Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Metabolomics - methods</subject><subject>Middle Aged</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Proton Magnetic Resonance Spectroscopy</subject><subject>Reproducibility of Results</subject><subject>Research Paper</subject><subject>ROC Curve</subject><subject>Thyroid Neoplasms - blood</subject><subject>Thyroid Neoplasms - metabolism</subject><subject>Thyroid Neoplasms - pathology</subject><subject>Tumor Burden</subject><issn>1949-2553</issn><issn>1949-2553</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUU1LAzEQDaLYUvsDvMgevWzdfG7WgyDFL6gVRI8Skmy2jexu1mRb6L83tFXrXGZg3rx5Mw-Ac5hNIGcYXblWu176heknEMOcH4EhLEiRIkrx8UE9AOMQPrMYlOQcFadggHKOKeV4CD7mrk1tu5bBrk1SWrloXbAhcVXSyc7WtfSbpF9uvLNl0ljtnZZe29Y18jqRyfz5NVUymNgzvVSudhETEtl13km9PAMnlayDGe_zCLzf371NH9PZy8PT9HaWaoJQnzJFSkZpiXOCKpYXURxnqsCqJBhhxStWVJlmjHNuqqxklYQ5RYoRpXhOqcEjcLPj7VaqMaU2be9lLTpvm6hfOGnF_05rl2Lh1oJiwgnikeByT-Dd18qEXjQ2aBPPb41bBQE5LiAsoq4IhTto_EUI3lS_a2Amts6IP2fE1pk4c3Go73fixwf8DQcNjok</recordid><startdate>20161206</startdate><enddate>20161206</enddate><creator>Lu, Jinghui</creator><creator>Hu, Sanyuan</creator><creator>Miccoli, Paolo</creator><creator>Zeng, Qingdong</creator><creator>Liu, Shaozhuang</creator><creator>Ran, Lin</creator><creator>Hu, Chunxiao</creator><general>Impact Journals LLC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20161206</creationdate><title>Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach</title><author>Lu, Jinghui ; Hu, Sanyuan ; Miccoli, Paolo ; Zeng, Qingdong ; Liu, Shaozhuang ; Ran, Lin ; Hu, Chunxiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-6b4d655d3742f67983586b93bd4323b8f69f0c66888ef0d6fa1752b64bb8755e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Area Under Curve</topic><topic>Biomarkers, Tumor - blood</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Carcinoma, Papillary - blood</topic><topic>Carcinoma, Papillary - metabolism</topic><topic>Carcinoma, Papillary - pathology</topic><topic>Case-Control Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Metabolomics - methods</topic><topic>Middle Aged</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Proton Magnetic Resonance Spectroscopy</topic><topic>Reproducibility of Results</topic><topic>Research Paper</topic><topic>ROC Curve</topic><topic>Thyroid Neoplasms - blood</topic><topic>Thyroid Neoplasms - metabolism</topic><topic>Thyroid Neoplasms - pathology</topic><topic>Tumor Burden</topic><toplevel>online_resources</toplevel><creatorcontrib>Lu, Jinghui</creatorcontrib><creatorcontrib>Hu, Sanyuan</creatorcontrib><creatorcontrib>Miccoli, Paolo</creatorcontrib><creatorcontrib>Zeng, Qingdong</creatorcontrib><creatorcontrib>Liu, Shaozhuang</creatorcontrib><creatorcontrib>Ran, Lin</creatorcontrib><creatorcontrib>Hu, Chunxiao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncotarget</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Jinghui</au><au>Hu, Sanyuan</au><au>Miccoli, Paolo</au><au>Zeng, Qingdong</au><au>Liu, Shaozhuang</au><au>Ran, Lin</au><au>Hu, Chunxiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach</atitle><jtitle>Oncotarget</jtitle><addtitle>Oncotarget</addtitle><date>2016-12-06</date><risdate>2016</risdate><volume>7</volume><issue>49</issue><spage>81768</spage><epage>81777</epage><pages>81768-81777</pages><issn>1949-2553</issn><eissn>1949-2553</eissn><abstract>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 1H-nuclear magnetic resonance (1H-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.</abstract><cop>United States</cop><pub>Impact Journals LLC</pub><pmid>27835583</pmid><doi>10.18632/oncotarget.13178</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Area Under Curve Biomarkers, Tumor - blood Biomarkers, Tumor - metabolism Carcinoma, Papillary - blood Carcinoma, Papillary - metabolism Carcinoma, Papillary - pathology Case-Control Studies Female Humans Male Metabolomics - methods Middle Aged Predictive Value of Tests Prognosis Prospective Studies Proton Magnetic Resonance Spectroscopy Reproducibility of Results Research Paper ROC Curve Thyroid Neoplasms - blood Thyroid Neoplasms - metabolism Thyroid Neoplasms - pathology Tumor Burden |
title | Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach |
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