Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools
Plasma and tissue from breast cancer patients are valuable for diagnostic/prognostic purposes and are accessible by multiple mass spectrometry (MS) tools. Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies...
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| Veröffentlicht in: | International journal of molecular sciences 2020-05, Vol.21 (10), p.3611 |
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| creator | Silva, Alex Ap Rosini Cardoso, Marcella R Rezende, Luciana Montes Lin, John Q Guimaraes, Fernando Silva, Geisilene R Paiva Murgu, Michael Priolli, Denise Gonçalves Eberlin, Marcos N Tata, Alessandra Eberlin, Livia S Derchain, Sophie F M Porcari, Andreia M |
| description | Plasma and tissue from breast cancer patients are valuable for diagnostic/prognostic purposes and are accessible by multiple mass spectrometry (MS) tools. Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies for breast cancer diagnosis. Here, we investigated whether there is a correspondence between lipid cancer features observed by desorption electrospray ionization (DESI)-MSI in tissue and those detected by LC-MS in plasma samples. The study included 28 tissues and 20 plasma samples from 24 women with ductal breast carcinomas of both special and no special type (NST) along with 22 plasma samples from healthy women. The comparison of plasma and tissue lipid signatures revealed that each one of the studied matrices (i.e., blood or tumor) has its own specific molecular signature and the full interposition of their discriminant ions is not possible. This comparison also revealed that the molecular indicators of tissue injury, characteristic of the breast cancer tissue profile obtained by DESI-MSI, do not persist as cancer discriminators in peripheral blood even though some of them could be found in plasma samples. |
| doi_str_mv | 10.3390/ijms21103611 |
| format | Article |
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Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies for breast cancer diagnosis. Here, we investigated whether there is a correspondence between lipid cancer features observed by desorption electrospray ionization (DESI)-MSI in tissue and those detected by LC-MS in plasma samples. The study included 28 tissues and 20 plasma samples from 24 women with ductal breast carcinomas of both special and no special type (NST) along with 22 plasma samples from healthy women. The comparison of plasma and tissue lipid signatures revealed that each one of the studied matrices (i.e., blood or tumor) has its own specific molecular signature and the full interposition of their discriminant ions is not possible. This comparison also revealed that the molecular indicators of tissue injury, characteristic of the breast cancer tissue profile obtained by DESI-MSI, do not persist as cancer discriminators in peripheral blood even though some of them could be found in plasma samples.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms21103611</identifier><identifier>PMID: 32443844</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biomarkers ; Biopsy ; Blood ; Breast cancer ; Breast carcinoma ; Breast Neoplasms - blood ; Breast Neoplasms - metabolism ; Carcinoma, Ductal - blood ; Carcinoma, Ductal - metabolism ; Classification ; Diagnostic systems ; Discriminators ; Female ; Humans ; Ionization ; Ions ; Lipid Metabolism ; Lipidomics - methods ; Lipids ; Lipids - blood ; Liquid chromatography ; Mass spectrometry ; Mass spectroscopy ; Middle Aged ; Peripheral blood ; Plasma ; Principal components analysis ; Scientific imaging ; Spectrometry, Mass, Electrospray Ionization - methods ; Spectroscopy ; Tumors</subject><ispartof>International journal of molecular sciences, 2020-05, Vol.21 (10), p.3611</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-8cdab80c24a92061df82ec41bdc53db71806179028b90a794abf57406e87fe773</citedby><cites>FETCH-LOGICAL-c412t-8cdab80c24a92061df82ec41bdc53db71806179028b90a794abf57406e87fe773</cites><orcidid>0000-0002-9924-478X ; 0000-0002-5537-972X ; 0000-0003-4244-8594 ; 0000-0001-5888-3107 ; 0000-0002-3885-3215 ; 0000-0002-6400-5201 ; 0000-0003-0093-7242</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279467/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279467/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32443844$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Silva, Alex Ap Rosini</creatorcontrib><creatorcontrib>Cardoso, Marcella R</creatorcontrib><creatorcontrib>Rezende, Luciana Montes</creatorcontrib><creatorcontrib>Lin, John Q</creatorcontrib><creatorcontrib>Guimaraes, Fernando</creatorcontrib><creatorcontrib>Silva, Geisilene R Paiva</creatorcontrib><creatorcontrib>Murgu, Michael</creatorcontrib><creatorcontrib>Priolli, Denise Gonçalves</creatorcontrib><creatorcontrib>Eberlin, Marcos N</creatorcontrib><creatorcontrib>Tata, Alessandra</creatorcontrib><creatorcontrib>Eberlin, Livia S</creatorcontrib><creatorcontrib>Derchain, Sophie F M</creatorcontrib><creatorcontrib>Porcari, Andreia M</creatorcontrib><title>Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>Plasma and tissue from breast cancer patients are valuable for diagnostic/prognostic purposes and are accessible by multiple mass spectrometry (MS) tools. Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies for breast cancer diagnosis. Here, we investigated whether there is a correspondence between lipid cancer features observed by desorption electrospray ionization (DESI)-MSI in tissue and those detected by LC-MS in plasma samples. The study included 28 tissues and 20 plasma samples from 24 women with ductal breast carcinomas of both special and no special type (NST) along with 22 plasma samples from healthy women. The comparison of plasma and tissue lipid signatures revealed that each one of the studied matrices (i.e., blood or tumor) has its own specific molecular signature and the full interposition of their discriminant ions is not possible. This comparison also revealed that the molecular indicators of tissue injury, characteristic of the breast cancer tissue profile obtained by DESI-MSI, do not persist as cancer discriminators in peripheral blood even though some of them could be found in plasma samples.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomarkers</subject><subject>Biopsy</subject><subject>Blood</subject><subject>Breast cancer</subject><subject>Breast carcinoma</subject><subject>Breast Neoplasms - blood</subject><subject>Breast Neoplasms - metabolism</subject><subject>Carcinoma, Ductal - blood</subject><subject>Carcinoma, Ductal - metabolism</subject><subject>Classification</subject><subject>Diagnostic systems</subject><subject>Discriminators</subject><subject>Female</subject><subject>Humans</subject><subject>Ionization</subject><subject>Ions</subject><subject>Lipid Metabolism</subject><subject>Lipidomics - methods</subject><subject>Lipids</subject><subject>Lipids - blood</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Middle Aged</subject><subject>Peripheral blood</subject><subject>Plasma</subject><subject>Principal components analysis</subject><subject>Scientific imaging</subject><subject>Spectrometry, Mass, Electrospray Ionization - methods</subject><subject>Spectroscopy</subject><subject>Tumors</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkctv1DAQxi0EoqVw44wsceHAgl-JnQtSWfGotBVI3Z6jieMsXiV28DiV-t_j1ZZq4TSjmZ--eXyEvObsg5QN--j3EwrOmaw5f0LOuRJixVitn57kZ-QF4p4xIUXVPCdnUigljVLnZL5exuznEfIQ00Svwp3D7HeQfQw0DvTnCDgBhdDTrUdcHN342ff0xu8C5CU5PFCfkwPMdA3BukRv0YcdvQZEejM7m1OcXE73dBvjiC_JswFGdK8e4gW5_fplu_6-2vz4drW-3Kys4iKvjO2hM8wKBY1gNe8HI1xpdb2tZN9pbkpRN0yYrmGgGwXdUGnFamf04LSWF-TTUXdeusn11oWcYGzn5CdI920E3_7bCf5Xu4t3rRZFrT4IvHsQSPH3Ur7STh6tG0cILi7YijJMsspUpqBv_0P3cUmhnHekTFXxqlDvj5RNETG54XEZztqDle2plQV_c3rAI_zXO_kH4zGbrg</recordid><startdate>20200520</startdate><enddate>20200520</enddate><creator>Silva, Alex Ap Rosini</creator><creator>Cardoso, Marcella R</creator><creator>Rezende, Luciana Montes</creator><creator>Lin, John Q</creator><creator>Guimaraes, Fernando</creator><creator>Silva, Geisilene R Paiva</creator><creator>Murgu, Michael</creator><creator>Priolli, Denise Gonçalves</creator><creator>Eberlin, Marcos N</creator><creator>Tata, Alessandra</creator><creator>Eberlin, Livia S</creator><creator>Derchain, Sophie F M</creator><creator>Porcari, Andreia M</creator><general>MDPI AG</general><general>MDPI</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</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><orcidid>https://orcid.org/0000-0002-9924-478X</orcidid><orcidid>https://orcid.org/0000-0002-5537-972X</orcidid><orcidid>https://orcid.org/0000-0003-4244-8594</orcidid><orcidid>https://orcid.org/0000-0001-5888-3107</orcidid><orcidid>https://orcid.org/0000-0002-3885-3215</orcidid><orcidid>https://orcid.org/0000-0002-6400-5201</orcidid><orcidid>https://orcid.org/0000-0003-0093-7242</orcidid></search><sort><creationdate>20200520</creationdate><title>Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools</title><author>Silva, Alex Ap Rosini ; Cardoso, Marcella R ; Rezende, Luciana Montes ; Lin, John Q ; Guimaraes, Fernando ; Silva, Geisilene R Paiva ; Murgu, Michael ; Priolli, Denise Gonçalves ; Eberlin, Marcos N ; Tata, Alessandra ; Eberlin, Livia S ; Derchain, Sophie F M ; Porcari, Andreia M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-8cdab80c24a92061df82ec41bdc53db71806179028b90a794abf57406e87fe773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomarkers</topic><topic>Biopsy</topic><topic>Blood</topic><topic>Breast cancer</topic><topic>Breast carcinoma</topic><topic>Breast Neoplasms - blood</topic><topic>Breast Neoplasms - metabolism</topic><topic>Carcinoma, Ductal - blood</topic><topic>Carcinoma, Ductal - metabolism</topic><topic>Classification</topic><topic>Diagnostic systems</topic><topic>Discriminators</topic><topic>Female</topic><topic>Humans</topic><topic>Ionization</topic><topic>Ions</topic><topic>Lipid Metabolism</topic><topic>Lipidomics - methods</topic><topic>Lipids</topic><topic>Lipids - blood</topic><topic>Liquid chromatography</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Middle Aged</topic><topic>Peripheral blood</topic><topic>Plasma</topic><topic>Principal components analysis</topic><topic>Scientific imaging</topic><topic>Spectrometry, Mass, Electrospray Ionization - methods</topic><topic>Spectroscopy</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva, Alex Ap Rosini</creatorcontrib><creatorcontrib>Cardoso, Marcella R</creatorcontrib><creatorcontrib>Rezende, Luciana Montes</creatorcontrib><creatorcontrib>Lin, John Q</creatorcontrib><creatorcontrib>Guimaraes, Fernando</creatorcontrib><creatorcontrib>Silva, Geisilene R Paiva</creatorcontrib><creatorcontrib>Murgu, Michael</creatorcontrib><creatorcontrib>Priolli, Denise Gonçalves</creatorcontrib><creatorcontrib>Eberlin, Marcos N</creatorcontrib><creatorcontrib>Tata, Alessandra</creatorcontrib><creatorcontrib>Eberlin, Livia S</creatorcontrib><creatorcontrib>Derchain, Sophie F M</creatorcontrib><creatorcontrib>Porcari, Andreia M</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</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><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva, Alex Ap Rosini</au><au>Cardoso, Marcella R</au><au>Rezende, Luciana Montes</au><au>Lin, John Q</au><au>Guimaraes, Fernando</au><au>Silva, Geisilene R Paiva</au><au>Murgu, Michael</au><au>Priolli, Denise Gonçalves</au><au>Eberlin, Marcos N</au><au>Tata, Alessandra</au><au>Eberlin, Livia S</au><au>Derchain, Sophie F M</au><au>Porcari, Andreia M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools</atitle><jtitle>International journal of molecular sciences</jtitle><addtitle>Int J Mol Sci</addtitle><date>2020-05-20</date><risdate>2020</risdate><volume>21</volume><issue>10</issue><spage>3611</spage><pages>3611-</pages><issn>1422-0067</issn><issn>1661-6596</issn><eissn>1422-0067</eissn><abstract>Plasma and tissue from breast cancer patients are valuable for diagnostic/prognostic purposes and are accessible by multiple mass spectrometry (MS) tools. Liquid chromatography-mass spectrometry (LC-MS) and ambient mass spectrometry imaging (MSI) were shown to be robust and reproducible technologies for breast cancer diagnosis. Here, we investigated whether there is a correspondence between lipid cancer features observed by desorption electrospray ionization (DESI)-MSI in tissue and those detected by LC-MS in plasma samples. The study included 28 tissues and 20 plasma samples from 24 women with ductal breast carcinomas of both special and no special type (NST) along with 22 plasma samples from healthy women. The comparison of plasma and tissue lipid signatures revealed that each one of the studied matrices (i.e., blood or tumor) has its own specific molecular signature and the full interposition of their discriminant ions is not possible. This comparison also revealed that the molecular indicators of tissue injury, characteristic of the breast cancer tissue profile obtained by DESI-MSI, do not persist as cancer discriminators in peripheral blood even though some of them could be found in plasma samples.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>32443844</pmid><doi>10.3390/ijms21103611</doi><orcidid>https://orcid.org/0000-0002-9924-478X</orcidid><orcidid>https://orcid.org/0000-0002-5537-972X</orcidid><orcidid>https://orcid.org/0000-0003-4244-8594</orcidid><orcidid>https://orcid.org/0000-0001-5888-3107</orcidid><orcidid>https://orcid.org/0000-0002-3885-3215</orcidid><orcidid>https://orcid.org/0000-0002-6400-5201</orcidid><orcidid>https://orcid.org/0000-0003-0093-7242</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Aged, 80 and over Biomarkers Biopsy Blood Breast cancer Breast carcinoma Breast Neoplasms - blood Breast Neoplasms - metabolism Carcinoma, Ductal - blood Carcinoma, Ductal - metabolism Classification Diagnostic systems Discriminators Female Humans Ionization Ions Lipid Metabolism Lipidomics - methods Lipids Lipids - blood Liquid chromatography Mass spectrometry Mass spectroscopy Middle Aged Peripheral blood Plasma Principal components analysis Scientific imaging Spectrometry, Mass, Electrospray Ionization - methods Spectroscopy Tumors |
| title | Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools |
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