Development of Urinary Pseudotargeted LC-MS-Based Metabolomics Method and Its Application in Hepatocellular Carcinoma Biomarker Discovery
Hepatocellular carcinoma (HCC) is one of the pestilent malignancies leading to cancer-related death. Discovering effective biomarkers for HCC diagnosis is an urgent demand. To identify potential metabolite biomarkers, we developed a urinary pseudotargeted method based on liquid chromatography–hybrid...
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Veröffentlicht in: | Journal of proteome research 2015-02, Vol.14 (2), p.906-916 |
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description | Hepatocellular carcinoma (HCC) is one of the pestilent malignancies leading to cancer-related death. Discovering effective biomarkers for HCC diagnosis is an urgent demand. To identify potential metabolite biomarkers, we developed a urinary pseudotargeted method based on liquid chromatography–hybrid triple quadrupole linear ion trap mass spectrometry (LC–QTRAP MS). Compared with nontargeted method, the pseudotargeted method can achieve better data quality, which benefits differential metabolites discovery. The established method was applied to cirrhosis (CIR) and HCC investigation. It was found that urinary nucleosides, bile acids, citric acid, and several amino acids were significantly changed in liver disease groups compared with the controls, featuring the dysregulation of purine metabolism, energy metabolism, and amino metabolism in liver diseases. Furthermore, some metabolites such as cyclic adenosine monophosphate, glutamine, and short- and medium-chain acylcarnitines were the differential metabolites of HCC and CIR. On the basis of binary logistic regression, butyrylcarnitine (carnitine C4:0) and hydantoin-5-propionic acid were defined as combinational markers to distinguish HCC from CIR. The area under curve was 0.786 and 0.773 for discovery stage and validation stage samples, respectively. These data show that the established pseudotargeted method is a complementary one of targeted and nontargeted methods for metabolomics study. |
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Discovering effective biomarkers for HCC diagnosis is an urgent demand. To identify potential metabolite biomarkers, we developed a urinary pseudotargeted method based on liquid chromatography–hybrid triple quadrupole linear ion trap mass spectrometry (LC–QTRAP MS). Compared with nontargeted method, the pseudotargeted method can achieve better data quality, which benefits differential metabolites discovery. The established method was applied to cirrhosis (CIR) and HCC investigation. It was found that urinary nucleosides, bile acids, citric acid, and several amino acids were significantly changed in liver disease groups compared with the controls, featuring the dysregulation of purine metabolism, energy metabolism, and amino metabolism in liver diseases. Furthermore, some metabolites such as cyclic adenosine monophosphate, glutamine, and short- and medium-chain acylcarnitines were the differential metabolites of HCC and CIR. On the basis of binary logistic regression, butyrylcarnitine (carnitine C4:0) and hydantoin-5-propionic acid were defined as combinational markers to distinguish HCC from CIR. The area under curve was 0.786 and 0.773 for discovery stage and validation stage samples, respectively. These data show that the established pseudotargeted method is a complementary one of targeted and nontargeted methods for metabolomics study.</description><identifier>ISSN: 1535-3893</identifier><identifier>ISSN: 1535-3907</identifier><identifier>EISSN: 1535-3907</identifier><identifier>DOI: 10.1021/pr500973d</identifier><identifier>PMID: 25483141</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Adult ; bile acids ; biomarkers ; Biomarkers, Tumor - urine ; Carcinoma, Hepatocellular - metabolism ; Carcinoma, Hepatocellular - urine ; carnitine ; Case-Control Studies ; Chromatography, Liquid - methods ; citric acid ; cyclic AMP ; death ; energy metabolism ; Female ; glutamine ; hepatoma ; Humans ; liquid chromatography ; Liver Cirrhosis - metabolism ; Liver Cirrhosis - urine ; Liver Neoplasms - metabolism ; Liver Neoplasms - urine ; Male ; mass spectrometry ; Mass Spectrometry - methods ; metabolites ; metabolomics ; Metabolomics - methods ; Middle Aged ; nucleosides ; regression analysis ; ROC Curve</subject><ispartof>Journal of proteome research, 2015-02, Vol.14 (2), p.906-916</ispartof><rights>Copyright © 2014 American Chemical Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a414t-575f3c062620b5957885af2c97c37525583835ae26bb0aa01534883c2bee1bc03</citedby><cites>FETCH-LOGICAL-a414t-575f3c062620b5957885af2c97c37525583835ae26bb0aa01534883c2bee1bc03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/pr500973d$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/pr500973d$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,778,782,2754,27059,27907,27908,56721,56771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25483141$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shao, Yaping</creatorcontrib><creatorcontrib>Zhu, Bin</creatorcontrib><creatorcontrib>Zheng, Ruiyin</creatorcontrib><creatorcontrib>Zhao, Xinjie</creatorcontrib><creatorcontrib>Yin, Peiyuan</creatorcontrib><creatorcontrib>Lu, Xin</creatorcontrib><creatorcontrib>Jiao, Binghua</creatorcontrib><creatorcontrib>Xu, Guowang</creatorcontrib><creatorcontrib>Yao, Zhenzhen</creatorcontrib><title>Development of Urinary Pseudotargeted LC-MS-Based Metabolomics Method and Its Application in Hepatocellular Carcinoma Biomarker Discovery</title><title>Journal of proteome research</title><addtitle>J. Proteome Res</addtitle><description>Hepatocellular carcinoma (HCC) is one of the pestilent malignancies leading to cancer-related death. Discovering effective biomarkers for HCC diagnosis is an urgent demand. To identify potential metabolite biomarkers, we developed a urinary pseudotargeted method based on liquid chromatography–hybrid triple quadrupole linear ion trap mass spectrometry (LC–QTRAP MS). Compared with nontargeted method, the pseudotargeted method can achieve better data quality, which benefits differential metabolites discovery. The established method was applied to cirrhosis (CIR) and HCC investigation. It was found that urinary nucleosides, bile acids, citric acid, and several amino acids were significantly changed in liver disease groups compared with the controls, featuring the dysregulation of purine metabolism, energy metabolism, and amino metabolism in liver diseases. Furthermore, some metabolites such as cyclic adenosine monophosphate, glutamine, and short- and medium-chain acylcarnitines were the differential metabolites of HCC and CIR. On the basis of binary logistic regression, butyrylcarnitine (carnitine C4:0) and hydantoin-5-propionic acid were defined as combinational markers to distinguish HCC from CIR. The area under curve was 0.786 and 0.773 for discovery stage and validation stage samples, respectively. These data show that the established pseudotargeted method is a complementary one of targeted and nontargeted methods for metabolomics study.</description><subject>Adult</subject><subject>bile acids</subject><subject>biomarkers</subject><subject>Biomarkers, Tumor - urine</subject><subject>Carcinoma, Hepatocellular - metabolism</subject><subject>Carcinoma, Hepatocellular - urine</subject><subject>carnitine</subject><subject>Case-Control Studies</subject><subject>Chromatography, Liquid - methods</subject><subject>citric acid</subject><subject>cyclic AMP</subject><subject>death</subject><subject>energy metabolism</subject><subject>Female</subject><subject>glutamine</subject><subject>hepatoma</subject><subject>Humans</subject><subject>liquid chromatography</subject><subject>Liver Cirrhosis - metabolism</subject><subject>Liver Cirrhosis - urine</subject><subject>Liver Neoplasms - metabolism</subject><subject>Liver Neoplasms - urine</subject><subject>Male</subject><subject>mass spectrometry</subject><subject>Mass Spectrometry - methods</subject><subject>metabolites</subject><subject>metabolomics</subject><subject>Metabolomics - methods</subject><subject>Middle Aged</subject><subject>nucleosides</subject><subject>regression analysis</subject><subject>ROC Curve</subject><issn>1535-3893</issn><issn>1535-3907</issn><issn>1535-3907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1O3DAUha2qqFDaRV-g8qZSu0jxT5w4S2YoDNIgKgHr6Ma5AdMkDraDNI_AW-PRAKtKbO6P9OnonnsI-cbZb84EP5q8YqwqZfuBHHAlVSYrVn58nXUl98nnEO4Z46pk8hPZFyrXkuf8gDyd4CP2bhpwjNR19MbbEfyG_g04ty6Cv8WILV0vs4urbAEhzRcYoXG9G6wJ2-XOtRTGlp7HQI-nqbcGonUjtSNd4QTRGez7uQdPl-CNHd0AdGFT9f_Q0xMbjHtEv_lC9jroA3596Yfk5vTP9XKVrS_PzpfH6wxynsdMlaqThhWiEKxRlSq1VtAJU5VGlkoopaWWClAUTcMAkmWZay2NaBB5Y5g8JD93upN3DzOGWA_phHQijOjmUAumpNasFO-jvFAiL7hgVUJ_7VDjXQgeu3ryNlnc1JzV25Dqt5AS-_1Fdm4GbN_I11QS8GMHgAn1vZv9mB7yH6FnQUqYqg</recordid><startdate>20150206</startdate><enddate>20150206</enddate><creator>Shao, Yaping</creator><creator>Zhu, Bin</creator><creator>Zheng, Ruiyin</creator><creator>Zhao, Xinjie</creator><creator>Yin, Peiyuan</creator><creator>Lu, Xin</creator><creator>Jiao, Binghua</creator><creator>Xu, Guowang</creator><creator>Yao, Zhenzhen</creator><general>American Chemical Society</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>7S9</scope><scope>L.6</scope></search><sort><creationdate>20150206</creationdate><title>Development of Urinary Pseudotargeted LC-MS-Based Metabolomics Method and Its Application in Hepatocellular Carcinoma Biomarker Discovery</title><author>Shao, Yaping ; Zhu, Bin ; Zheng, Ruiyin ; Zhao, Xinjie ; Yin, Peiyuan ; Lu, Xin ; Jiao, Binghua ; Xu, Guowang ; Yao, Zhenzhen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a414t-575f3c062620b5957885af2c97c37525583835ae26bb0aa01534883c2bee1bc03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>bile acids</topic><topic>biomarkers</topic><topic>Biomarkers, Tumor - urine</topic><topic>Carcinoma, Hepatocellular - metabolism</topic><topic>Carcinoma, Hepatocellular - urine</topic><topic>carnitine</topic><topic>Case-Control Studies</topic><topic>Chromatography, Liquid - methods</topic><topic>citric acid</topic><topic>cyclic AMP</topic><topic>death</topic><topic>energy metabolism</topic><topic>Female</topic><topic>glutamine</topic><topic>hepatoma</topic><topic>Humans</topic><topic>liquid chromatography</topic><topic>Liver Cirrhosis - metabolism</topic><topic>Liver Cirrhosis - urine</topic><topic>Liver Neoplasms - metabolism</topic><topic>Liver Neoplasms - urine</topic><topic>Male</topic><topic>mass spectrometry</topic><topic>Mass Spectrometry - methods</topic><topic>metabolites</topic><topic>metabolomics</topic><topic>Metabolomics - methods</topic><topic>Middle Aged</topic><topic>nucleosides</topic><topic>regression analysis</topic><topic>ROC Curve</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shao, Yaping</creatorcontrib><creatorcontrib>Zhu, Bin</creatorcontrib><creatorcontrib>Zheng, Ruiyin</creatorcontrib><creatorcontrib>Zhao, Xinjie</creatorcontrib><creatorcontrib>Yin, Peiyuan</creatorcontrib><creatorcontrib>Lu, Xin</creatorcontrib><creatorcontrib>Jiao, Binghua</creatorcontrib><creatorcontrib>Xu, Guowang</creatorcontrib><creatorcontrib>Yao, Zhenzhen</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>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of proteome research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shao, Yaping</au><au>Zhu, Bin</au><au>Zheng, Ruiyin</au><au>Zhao, Xinjie</au><au>Yin, Peiyuan</au><au>Lu, Xin</au><au>Jiao, Binghua</au><au>Xu, Guowang</au><au>Yao, Zhenzhen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of Urinary Pseudotargeted LC-MS-Based Metabolomics Method and Its Application in Hepatocellular Carcinoma Biomarker Discovery</atitle><jtitle>Journal of proteome research</jtitle><addtitle>J. Proteome Res</addtitle><date>2015-02-06</date><risdate>2015</risdate><volume>14</volume><issue>2</issue><spage>906</spage><epage>916</epage><pages>906-916</pages><issn>1535-3893</issn><issn>1535-3907</issn><eissn>1535-3907</eissn><abstract>Hepatocellular carcinoma (HCC) is one of the pestilent malignancies leading to cancer-related death. Discovering effective biomarkers for HCC diagnosis is an urgent demand. To identify potential metabolite biomarkers, we developed a urinary pseudotargeted method based on liquid chromatography–hybrid triple quadrupole linear ion trap mass spectrometry (LC–QTRAP MS). Compared with nontargeted method, the pseudotargeted method can achieve better data quality, which benefits differential metabolites discovery. The established method was applied to cirrhosis (CIR) and HCC investigation. It was found that urinary nucleosides, bile acids, citric acid, and several amino acids were significantly changed in liver disease groups compared with the controls, featuring the dysregulation of purine metabolism, energy metabolism, and amino metabolism in liver diseases. Furthermore, some metabolites such as cyclic adenosine monophosphate, glutamine, and short- and medium-chain acylcarnitines were the differential metabolites of HCC and CIR. On the basis of binary logistic regression, butyrylcarnitine (carnitine C4:0) and hydantoin-5-propionic acid were defined as combinational markers to distinguish HCC from CIR. The area under curve was 0.786 and 0.773 for discovery stage and validation stage samples, respectively. These data show that the established pseudotargeted method is a complementary one of targeted and nontargeted methods for metabolomics study.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>25483141</pmid><doi>10.1021/pr500973d</doi><tpages>11</tpages></addata></record> |
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subjects | Adult bile acids biomarkers Biomarkers, Tumor - urine Carcinoma, Hepatocellular - metabolism Carcinoma, Hepatocellular - urine carnitine Case-Control Studies Chromatography, Liquid - methods citric acid cyclic AMP death energy metabolism Female glutamine hepatoma Humans liquid chromatography Liver Cirrhosis - metabolism Liver Cirrhosis - urine Liver Neoplasms - metabolism Liver Neoplasms - urine Male mass spectrometry Mass Spectrometry - methods metabolites metabolomics Metabolomics - methods Middle Aged nucleosides regression analysis ROC Curve |
title | Development of Urinary Pseudotargeted LC-MS-Based Metabolomics Method and Its Application in Hepatocellular Carcinoma Biomarker Discovery |
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