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Targeted metabolomic profiles of serum amino acids and acylcarnitines related to gastric cancer
Early diagnosis and treatment are imperative for improving survival in gastric cancer (GC). This work aimed to assess the ability of human serum amino acid and acylcarnitine profiles in distinguishing GC cases from atrophic gastritis (AG) and control superficial gastritis (SG) patients. Sixty-nine G...
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Published in: | PeerJ (San Francisco, CA) CA), 2022-10, Vol.10, p.e14115-e14115, Article e14115 |
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description | Early diagnosis and treatment are imperative for improving survival in gastric cancer (GC). This work aimed to assess the ability of human serum amino acid and acylcarnitine profiles in distinguishing GC cases from atrophic gastritis (AG) and control superficial gastritis (SG) patients.
Sixty-nine GC, seventy-four AG and seventy-two SG control patients treated from May 2018 to May 2019 in Gansu Provincial Hospitalwere included. The levels of 42 serum metabolites in the GC, AG and SG groups were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Then, orthogonal partial least squares discriminant analysis (OPLS-DA) and the Kruskal-Wallis H test were used to identify a metabolomic signature among the three groups. Metabolites with highest significance were examined for further validation. Receiver operating characteristic (ROC) curve analysis was carried out for evaluating diagnostic utility.
The metabolomic analysis found adipylcarnitine (C6DC), 3-hydroxy-hexadecanoylcarnitine (C16OH), hexanoylcarnitine (C6), free carnitine (C0) and arginine (ARG) were differentially expressed (all VIP >1) and could distinguish GC patients from AG and SG cases. In comparison with the AG and SG groups, GC cases had significantly higher C6DC, C16OH, C6, C0 and ARG amounts. Jointly quantitating these five metabolites had specificity and sensitivity in GC diagnosis of 98.55% and 99.32%, respectively, with an area under the ROC curve (AUC) of 0.9977.
This study indicates C6DC, C16OH, C6, C0 and ARG could effectively differentiate GC cases from AG and SG patients, and may jointly serve as a valuable circulating multi-marker panel for GC detection. |
doi_str_mv | 10.7717/peerj.14115 |
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Sixty-nine GC, seventy-four AG and seventy-two SG control patients treated from May 2018 to May 2019 in Gansu Provincial Hospitalwere included. The levels of 42 serum metabolites in the GC, AG and SG groups were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Then, orthogonal partial least squares discriminant analysis (OPLS-DA) and the Kruskal-Wallis H test were used to identify a metabolomic signature among the three groups. Metabolites with highest significance were examined for further validation. Receiver operating characteristic (ROC) curve analysis was carried out for evaluating diagnostic utility.
The metabolomic analysis found adipylcarnitine (C6DC), 3-hydroxy-hexadecanoylcarnitine (C16OH), hexanoylcarnitine (C6), free carnitine (C0) and arginine (ARG) were differentially expressed (all VIP >1) and could distinguish GC patients from AG and SG cases. In comparison with the AG and SG groups, GC cases had significantly higher C6DC, C16OH, C6, C0 and ARG amounts. Jointly quantitating these five metabolites had specificity and sensitivity in GC diagnosis of 98.55% and 99.32%, respectively, with an area under the ROC curve (AUC) of 0.9977.
This study indicates C6DC, C16OH, C6, C0 and ARG could effectively differentiate GC cases from AG and SG patients, and may jointly serve as a valuable circulating multi-marker panel for GC detection.</description><identifier>ISSN: 2167-8359</identifier><identifier>EISSN: 2167-8359</identifier><identifier>DOI: 10.7717/peerj.14115</identifier><identifier>PMID: 36221263</identifier><language>eng</language><publisher>United States: PeerJ. Ltd</publisher><subject>Acylcarnitines ; Amino acids ; Amino Acids - metabolism ; Analysis ; Arginine ; Atrophic Gastritis ; Biochemistry ; Biomarkers ; Cancer ; Cancer therapies ; Care and treatment ; Carnitine ; Chemotherapy ; Chromatography, Liquid ; Development and progression ; Diagnosis ; Endoscopy ; Fatty acids ; Gastric cancer ; Gastritis ; Gastritis, Atrophic ; Gastroenterology and Hepatology ; Glucose ; Hematology ; Humans ; Liquid chromatography ; Mass spectrometry ; Mass spectroscopy ; Medical diagnosis ; Metabolism ; Metabolites ; Metabolomics ; Mortality ; NMR ; Nuclear magnetic resonance ; Oncology ; Patients ; Plasma ; Spectrum analysis ; Stomach cancer ; Stomach Neoplasms - diagnosis ; Superficial gastritis ; Surgery ; Tandem Mass Spectrometry ; Ulcers</subject><ispartof>PeerJ (San Francisco, CA), 2022-10, Vol.10, p.e14115-e14115, Article e14115</ispartof><rights>2022 Li et al.</rights><rights>COPYRIGHT 2022 PeerJ. Ltd.</rights><rights>2022 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Li et al. 2022 Li et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c573t-f083ccab272607f6edde221dbe6a73a92f982f8cee12cbe223484a813239adbc3</citedby><cites>FETCH-LOGICAL-c573t-f083ccab272607f6edde221dbe6a73a92f982f8cee12cbe223484a813239adbc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2721973925/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2721973925?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36221263$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Dehong</creatorcontrib><creatorcontrib>Lu, Yan</creatorcontrib><creatorcontrib>Zhao, Fenghui</creatorcontrib><creatorcontrib>Yan, Li</creatorcontrib><creatorcontrib>Yang, Xingwen</creatorcontrib><creatorcontrib>Wei, Lianhua</creatorcontrib><creatorcontrib>Yang, Xiaoyan</creatorcontrib><creatorcontrib>Yuan, Xiumei</creatorcontrib><creatorcontrib>Yang, Kehu</creatorcontrib><title>Targeted metabolomic profiles of serum amino acids and acylcarnitines related to gastric cancer</title><title>PeerJ (San Francisco, CA)</title><addtitle>PeerJ</addtitle><description>Early diagnosis and treatment are imperative for improving survival in gastric cancer (GC). This work aimed to assess the ability of human serum amino acid and acylcarnitine profiles in distinguishing GC cases from atrophic gastritis (AG) and control superficial gastritis (SG) patients.
Sixty-nine GC, seventy-four AG and seventy-two SG control patients treated from May 2018 to May 2019 in Gansu Provincial Hospitalwere included. The levels of 42 serum metabolites in the GC, AG and SG groups were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Then, orthogonal partial least squares discriminant analysis (OPLS-DA) and the Kruskal-Wallis H test were used to identify a metabolomic signature among the three groups. Metabolites with highest significance were examined for further validation. Receiver operating characteristic (ROC) curve analysis was carried out for evaluating diagnostic utility.
The metabolomic analysis found adipylcarnitine (C6DC), 3-hydroxy-hexadecanoylcarnitine (C16OH), hexanoylcarnitine (C6), free carnitine (C0) and arginine (ARG) were differentially expressed (all VIP >1) and could distinguish GC patients from AG and SG cases. In comparison with the AG and SG groups, GC cases had significantly higher C6DC, C16OH, C6, C0 and ARG amounts. Jointly quantitating these five metabolites had specificity and sensitivity in GC diagnosis of 98.55% and 99.32%, respectively, with an area under the ROC curve (AUC) of 0.9977.
This study indicates C6DC, C16OH, C6, C0 and ARG could effectively differentiate GC cases from AG and SG patients, and may jointly serve as a valuable circulating multi-marker panel for GC detection.</description><subject>Acylcarnitines</subject><subject>Amino acids</subject><subject>Amino Acids - metabolism</subject><subject>Analysis</subject><subject>Arginine</subject><subject>Atrophic Gastritis</subject><subject>Biochemistry</subject><subject>Biomarkers</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Carnitine</subject><subject>Chemotherapy</subject><subject>Chromatography, Liquid</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Endoscopy</subject><subject>Fatty acids</subject><subject>Gastric cancer</subject><subject>Gastritis</subject><subject>Gastritis, Atrophic</subject><subject>Gastroenterology and Hepatology</subject><subject>Glucose</subject><subject>Hematology</subject><subject>Humans</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medical diagnosis</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Mortality</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Oncology</subject><subject>Patients</subject><subject>Plasma</subject><subject>Spectrum analysis</subject><subject>Stomach cancer</subject><subject>Stomach Neoplasms - diagnosis</subject><subject>Superficial gastritis</subject><subject>Surgery</subject><subject>Tandem Mass Spectrometry</subject><subject>Ulcers</subject><issn>2167-8359</issn><issn>2167-8359</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkkuL2zAQgE1p6S7pnnovhkIplKTWw5Z8KSxLHwsLvWzPYiyNEwVZSiW5sP--SrLdJqXWwUL69GlmNFX1mjQrIYj4uEOM2xXhhLTPqktKOrGUrO2fn8wvqquUtk35JO0ayV5WF6yjlNCOXVbqHuIaM5p6wgxDcGGyut7FMFqHqQ5jnTDOUw2T9aEGbU2qwZsye3AaorfZ-sJFdLCX5FCvIeVYHBq8xviqejGCS3j1-F9UP758vr_5trz7_vX25vpuqVvB8nIscWkNAxUlRDF2aAyWEM2AHQgGPR17SUepEQnVQ9liXHKQhFHWgxk0W1S3R68JsFW7aCeIDyqAVYeFENcKYrbaoWoEl70YNKUceCt1r3nT9G3XdYMGyU1xfTq6dvMwodHocwR3Jj3f8Xaj1uGX6lsuGWmL4P2jIIafM6asJps0Ogcew5xUyZKXwHlJelG9_Qfdhjn6Uqo9RXrBetr-pdZQErB-DOVevZeq60IRSjvOCrX6D1WGwfKoweP-Tc8PvDs5sEFweZOCm7MNPp2DH46gjiGliONTMUij9n2oDn2oDn1Y6Den9Xti_3Qd-w3pzdem</recordid><startdate>20221006</startdate><enddate>20221006</enddate><creator>Li, Dehong</creator><creator>Lu, Yan</creator><creator>Zhao, Fenghui</creator><creator>Yan, Li</creator><creator>Yang, Xingwen</creator><creator>Wei, Lianhua</creator><creator>Yang, Xiaoyan</creator><creator>Yuan, Xiumei</creator><creator>Yang, Kehu</creator><general>PeerJ. Ltd</general><general>PeerJ, Inc</general><general>PeerJ Inc</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>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20221006</creationdate><title>Targeted metabolomic profiles of serum amino acids and acylcarnitines related to gastric cancer</title><author>Li, Dehong ; Lu, Yan ; Zhao, Fenghui ; Yan, Li ; Yang, Xingwen ; Wei, Lianhua ; Yang, Xiaoyan ; Yuan, Xiumei ; Yang, Kehu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c573t-f083ccab272607f6edde221dbe6a73a92f982f8cee12cbe223484a813239adbc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acylcarnitines</topic><topic>Amino acids</topic><topic>Amino Acids - metabolism</topic><topic>Analysis</topic><topic>Arginine</topic><topic>Atrophic Gastritis</topic><topic>Biochemistry</topic><topic>Biomarkers</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Care and treatment</topic><topic>Carnitine</topic><topic>Chemotherapy</topic><topic>Chromatography, Liquid</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Endoscopy</topic><topic>Fatty acids</topic><topic>Gastric cancer</topic><topic>Gastritis</topic><topic>Gastritis, Atrophic</topic><topic>Gastroenterology and Hepatology</topic><topic>Glucose</topic><topic>Hematology</topic><topic>Humans</topic><topic>Liquid chromatography</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Medical diagnosis</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Metabolomics</topic><topic>Mortality</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Oncology</topic><topic>Patients</topic><topic>Plasma</topic><topic>Spectrum analysis</topic><topic>Stomach cancer</topic><topic>Stomach Neoplasms - diagnosis</topic><topic>Superficial gastritis</topic><topic>Surgery</topic><topic>Tandem Mass Spectrometry</topic><topic>Ulcers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Dehong</creatorcontrib><creatorcontrib>Lu, Yan</creatorcontrib><creatorcontrib>Zhao, Fenghui</creatorcontrib><creatorcontrib>Yan, Li</creatorcontrib><creatorcontrib>Yang, Xingwen</creatorcontrib><creatorcontrib>Wei, Lianhua</creatorcontrib><creatorcontrib>Yang, Xiaoyan</creatorcontrib><creatorcontrib>Yuan, Xiumei</creatorcontrib><creatorcontrib>Yang, Kehu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Biological Sciences</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>PeerJ (San Francisco, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Dehong</au><au>Lu, Yan</au><au>Zhao, Fenghui</au><au>Yan, Li</au><au>Yang, Xingwen</au><au>Wei, Lianhua</au><au>Yang, Xiaoyan</au><au>Yuan, Xiumei</au><au>Yang, Kehu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Targeted metabolomic profiles of serum amino acids and acylcarnitines related to gastric cancer</atitle><jtitle>PeerJ (San Francisco, CA)</jtitle><addtitle>PeerJ</addtitle><date>2022-10-06</date><risdate>2022</risdate><volume>10</volume><spage>e14115</spage><epage>e14115</epage><pages>e14115-e14115</pages><artnum>e14115</artnum><issn>2167-8359</issn><eissn>2167-8359</eissn><abstract>Early diagnosis and treatment are imperative for improving survival in gastric cancer (GC). This work aimed to assess the ability of human serum amino acid and acylcarnitine profiles in distinguishing GC cases from atrophic gastritis (AG) and control superficial gastritis (SG) patients.
Sixty-nine GC, seventy-four AG and seventy-two SG control patients treated from May 2018 to May 2019 in Gansu Provincial Hospitalwere included. The levels of 42 serum metabolites in the GC, AG and SG groups were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Then, orthogonal partial least squares discriminant analysis (OPLS-DA) and the Kruskal-Wallis H test were used to identify a metabolomic signature among the three groups. Metabolites with highest significance were examined for further validation. Receiver operating characteristic (ROC) curve analysis was carried out for evaluating diagnostic utility.
The metabolomic analysis found adipylcarnitine (C6DC), 3-hydroxy-hexadecanoylcarnitine (C16OH), hexanoylcarnitine (C6), free carnitine (C0) and arginine (ARG) were differentially expressed (all VIP >1) and could distinguish GC patients from AG and SG cases. In comparison with the AG and SG groups, GC cases had significantly higher C6DC, C16OH, C6, C0 and ARG amounts. Jointly quantitating these five metabolites had specificity and sensitivity in GC diagnosis of 98.55% and 99.32%, respectively, with an area under the ROC curve (AUC) of 0.9977.
This study indicates C6DC, C16OH, C6, C0 and ARG could effectively differentiate GC cases from AG and SG patients, and may jointly serve as a valuable circulating multi-marker panel for GC detection.</abstract><cop>United States</cop><pub>PeerJ. Ltd</pub><pmid>36221263</pmid><doi>10.7717/peerj.14115</doi><oa>free_for_read</oa></addata></record> |
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subjects | Acylcarnitines Amino acids Amino Acids - metabolism Analysis Arginine Atrophic Gastritis Biochemistry Biomarkers Cancer Cancer therapies Care and treatment Carnitine Chemotherapy Chromatography, Liquid Development and progression Diagnosis Endoscopy Fatty acids Gastric cancer Gastritis Gastritis, Atrophic Gastroenterology and Hepatology Glucose Hematology Humans Liquid chromatography Mass spectrometry Mass spectroscopy Medical diagnosis Metabolism Metabolites Metabolomics Mortality NMR Nuclear magnetic resonance Oncology Patients Plasma Spectrum analysis Stomach cancer Stomach Neoplasms - diagnosis Superficial gastritis Surgery Tandem Mass Spectrometry Ulcers |
title | Targeted metabolomic profiles of serum amino acids and acylcarnitines related to gastric cancer |
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