Steroid hormone profiling in human breast adipose tissue using semi-automated purification and highly sensitive determination of estrogens by GC-APCI-MS/MS
Body mass index is a known breast cancer risk factor due to, among other mechanisms, adipose-derived hormones. We developed a method for steroid hormone profiling in adipose tissue to evaluate healthy tissue around the tumor and define new biomarkers for cancer development. A semi-automated sample p...
Gespeichert in:
| Veröffentlicht in: | Analytical and bioanalytical chemistry 2018, Vol.410 (1), p.259-275 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 275 |
|---|---|
| container_issue | 1 |
| container_start_page | 259 |
| container_title | Analytical and bioanalytical chemistry |
| container_volume | 410 |
| creator | Hennig, Kristin Antignac, Jean Philippe Bichon, Emmanuelle Morvan, Marie-Line Miran, Isabelle Delaloge, Suzette Feunteun, Jean Le Bizec, Bruno |
| description | Body mass index is a known breast cancer risk factor due to, among other mechanisms, adipose-derived hormones. We developed a method for steroid hormone profiling in adipose tissue to evaluate healthy tissue around the tumor and define new biomarkers for cancer development. A semi-automated sample preparation method based on gel permeation chromatography and subsequent derivatization with trimethylsilyl (TMS) is presented. Progestagens and androgens were determined by GC-EI-MS/MS (LOQ 0.5 to 10 ng/g lipids). For estrogen measurement, a highly sensitive GC-APCI-MS/MS method was developed to reach the required lower limits of detection (0.05 to 0.1 ng/g lipids in matrix, 100–200 fg on column for pure standards). The combination of the two methods allows the screening of 27 androgens and progestagens and 4 estrogens from a single sample. Good accuracies and repeatabilities were achieved for each compound class at their respective limit of detection. The method was applied to determine steroid hormone profiles in adipose tissue of 51 patients, collected both at proximity and distant to the tumor. Out of the 31 tested steroid hormones, 14 compounds were detected in human samples. Pregnenolone, 17-hydroxypregnenolone, dehydroepiandrosterone (DHEA), and androstendione accounted together for 80% of the observed steroid hormone profiles, whereas the estrogens accounted for only 1%. These profiles did not differ based on sampling location, except for ß-estradiol; steroid hormone conversions from androgens to estrogens that potentially take place in adipose or tumoral tissue might not be detectable due a factor 100 difference in concentration of for example DHEA and ß-estradiol.
Graphical Abstract
Schematic overview of the determination of steroid hormones and metabolites in adipose tissue in proximity and distal to the tumor |
| doi_str_mv | 10.1007/s00216-017-0717-8 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_02626434v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A521087523</galeid><sourcerecordid>A521087523</sourcerecordid><originalsourceid>FETCH-LOGICAL-c510t-7fee8459d1684276afbdd45a059991c2daec15da7fac42ba1e704741ed7a99c93</originalsourceid><addsrcrecordid>eNp1ks9u1DAQxiMEoqXwAFyQJS5wSOvxOnFyXK1KW2krkBbO1mw82XWV2IudVOqz8LI4pCx_BLJkW_ZvPs-Mvyx7DfwcOFcXkXMBZc5B5VylqXqSnUIJVS7Kgj897qU4yV7EeMc5FBWUz7MTUYNUShan2bfNQMFbw_Y-9N4ROwTf2s66HbOO7cceHdsGwjgwNPbgI7HBxjgSG-MEReptjuPgexzIsMMYbGsbHKx3DF2Stbt995AwF-1g74kZSg_21s2IbxnFIfhdumfbB3a1ypefVjf57ebidvMye9ZiF-nV43qWfflw-Xl1na8_Xt2sluu8KYAPuWqJKlnUBspKClViuzVGFsiLuq6hEQapgcKgarGRYotAikslgYzCum7qxVn2ftbdY6cPwfYYHrRHq6-Xaz2dcVGmLi7kPST23cymPn0dU-66t7GhrkNHfowa6rIUi6oSi4S-_Qu982NwqZKJknVKF-QvaocdaetaPwRsJlG9LATwShU_tM7_QaVhUv-b9G_pz-jPAJgDmuBjDNQeCwOuJ_Po2Tw6mUdP5tFVinnzmPC47ckcI366JQFiBmK6cjsKv1X0X9Xva7XO7Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1964916814</pqid></control><display><type>article</type><title>Steroid hormone profiling in human breast adipose tissue using semi-automated purification and highly sensitive determination of estrogens by GC-APCI-MS/MS</title><source>SpringerLink Journals - AutoHoldings</source><creator>Hennig, Kristin ; Antignac, Jean Philippe ; Bichon, Emmanuelle ; Morvan, Marie-Line ; Miran, Isabelle ; Delaloge, Suzette ; Feunteun, Jean ; Le Bizec, Bruno</creator><creatorcontrib>Hennig, Kristin ; Antignac, Jean Philippe ; Bichon, Emmanuelle ; Morvan, Marie-Line ; Miran, Isabelle ; Delaloge, Suzette ; Feunteun, Jean ; Le Bizec, Bruno</creatorcontrib><description>Body mass index is a known breast cancer risk factor due to, among other mechanisms, adipose-derived hormones. We developed a method for steroid hormone profiling in adipose tissue to evaluate healthy tissue around the tumor and define new biomarkers for cancer development. A semi-automated sample preparation method based on gel permeation chromatography and subsequent derivatization with trimethylsilyl (TMS) is presented. Progestagens and androgens were determined by GC-EI-MS/MS (LOQ 0.5 to 10 ng/g lipids). For estrogen measurement, a highly sensitive GC-APCI-MS/MS method was developed to reach the required lower limits of detection (0.05 to 0.1 ng/g lipids in matrix, 100–200 fg on column for pure standards). The combination of the two methods allows the screening of 27 androgens and progestagens and 4 estrogens from a single sample. Good accuracies and repeatabilities were achieved for each compound class at their respective limit of detection. The method was applied to determine steroid hormone profiles in adipose tissue of 51 patients, collected both at proximity and distant to the tumor. Out of the 31 tested steroid hormones, 14 compounds were detected in human samples. Pregnenolone, 17-hydroxypregnenolone, dehydroepiandrosterone (DHEA), and androstendione accounted together for 80% of the observed steroid hormone profiles, whereas the estrogens accounted for only 1%. These profiles did not differ based on sampling location, except for ß-estradiol; steroid hormone conversions from androgens to estrogens that potentially take place in adipose or tumoral tissue might not be detectable due a factor 100 difference in concentration of for example DHEA and ß-estradiol.
Graphical Abstract
Schematic overview of the determination of steroid hormones and metabolites in adipose tissue in proximity and distal to the tumor</description><identifier>ISSN: 1618-2642</identifier><identifier>EISSN: 1618-2650</identifier><identifier>DOI: 10.1007/s00216-017-0717-8</identifier><identifier>PMID: 29147745</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>17β-Estradiol ; Adipose tissue ; Analytical Chemistry ; Androgens ; Automation ; Biochemistry ; Biomarkers ; Body mass index ; Body size ; Breast ; Breast cancer ; Cancer ; Characterization and Evaluation of Materials ; Chemistry ; Chemistry and Materials Science ; Dehydroepiandrosterone ; Endocrinology and metabolism ; Estrogens ; Food Science ; Gas chromatography ; Health aspects ; Health risks ; Hormones ; Human health and pathology ; Laboratory Medicine ; Life Sciences ; Lipids ; Liquid chromatography ; Mass spectrometry ; Metabolites ; Methods ; Monitoring/Environmental Analysis ; Pregnenolone ; Purification ; Research Paper ; Risk factors ; Sample preparation ; Sex hormones ; Steroid hormones ; Steroids</subject><ispartof>Analytical and bioanalytical chemistry, 2018, Vol.410 (1), p.259-275</ispartof><rights>Springer-Verlag GmbH Germany 2017</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Analytical and Bioanalytical Chemistry is a copyright of Springer, (2017). All Rights Reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-7fee8459d1684276afbdd45a059991c2daec15da7fac42ba1e704741ed7a99c93</citedby><cites>FETCH-LOGICAL-c510t-7fee8459d1684276afbdd45a059991c2daec15da7fac42ba1e704741ed7a99c93</cites><orcidid>0000-0001-7731-8808 ; 0000-0001-9512-9314 ; 0000-0002-0600-5895 ; 0000-0003-2106-9165</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00216-017-0717-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00216-017-0717-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,4010,27900,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29147745$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.inrae.fr/hal-02626434$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Hennig, Kristin</creatorcontrib><creatorcontrib>Antignac, Jean Philippe</creatorcontrib><creatorcontrib>Bichon, Emmanuelle</creatorcontrib><creatorcontrib>Morvan, Marie-Line</creatorcontrib><creatorcontrib>Miran, Isabelle</creatorcontrib><creatorcontrib>Delaloge, Suzette</creatorcontrib><creatorcontrib>Feunteun, Jean</creatorcontrib><creatorcontrib>Le Bizec, Bruno</creatorcontrib><title>Steroid hormone profiling in human breast adipose tissue using semi-automated purification and highly sensitive determination of estrogens by GC-APCI-MS/MS</title><title>Analytical and bioanalytical chemistry</title><addtitle>Anal Bioanal Chem</addtitle><addtitle>Anal Bioanal Chem</addtitle><description>Body mass index is a known breast cancer risk factor due to, among other mechanisms, adipose-derived hormones. We developed a method for steroid hormone profiling in adipose tissue to evaluate healthy tissue around the tumor and define new biomarkers for cancer development. A semi-automated sample preparation method based on gel permeation chromatography and subsequent derivatization with trimethylsilyl (TMS) is presented. Progestagens and androgens were determined by GC-EI-MS/MS (LOQ 0.5 to 10 ng/g lipids). For estrogen measurement, a highly sensitive GC-APCI-MS/MS method was developed to reach the required lower limits of detection (0.05 to 0.1 ng/g lipids in matrix, 100–200 fg on column for pure standards). The combination of the two methods allows the screening of 27 androgens and progestagens and 4 estrogens from a single sample. Good accuracies and repeatabilities were achieved for each compound class at their respective limit of detection. The method was applied to determine steroid hormone profiles in adipose tissue of 51 patients, collected both at proximity and distant to the tumor. Out of the 31 tested steroid hormones, 14 compounds were detected in human samples. Pregnenolone, 17-hydroxypregnenolone, dehydroepiandrosterone (DHEA), and androstendione accounted together for 80% of the observed steroid hormone profiles, whereas the estrogens accounted for only 1%. These profiles did not differ based on sampling location, except for ß-estradiol; steroid hormone conversions from androgens to estrogens that potentially take place in adipose or tumoral tissue might not be detectable due a factor 100 difference in concentration of for example DHEA and ß-estradiol.
Graphical Abstract
Schematic overview of the determination of steroid hormones and metabolites in adipose tissue in proximity and distal to the tumor</description><subject>17β-Estradiol</subject><subject>Adipose tissue</subject><subject>Analytical Chemistry</subject><subject>Androgens</subject><subject>Automation</subject><subject>Biochemistry</subject><subject>Biomarkers</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Breast</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Dehydroepiandrosterone</subject><subject>Endocrinology and metabolism</subject><subject>Estrogens</subject><subject>Food Science</subject><subject>Gas chromatography</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hormones</subject><subject>Human health and pathology</subject><subject>Laboratory Medicine</subject><subject>Life Sciences</subject><subject>Lipids</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Metabolites</subject><subject>Methods</subject><subject>Monitoring/Environmental Analysis</subject><subject>Pregnenolone</subject><subject>Purification</subject><subject>Research Paper</subject><subject>Risk factors</subject><subject>Sample preparation</subject><subject>Sex hormones</subject><subject>Steroid hormones</subject><subject>Steroids</subject><issn>1618-2642</issn><issn>1618-2650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1ks9u1DAQxiMEoqXwAFyQJS5wSOvxOnFyXK1KW2krkBbO1mw82XWV2IudVOqz8LI4pCx_BLJkW_ZvPs-Mvyx7DfwcOFcXkXMBZc5B5VylqXqSnUIJVS7Kgj897qU4yV7EeMc5FBWUz7MTUYNUShan2bfNQMFbw_Y-9N4ROwTf2s66HbOO7cceHdsGwjgwNPbgI7HBxjgSG-MEReptjuPgexzIsMMYbGsbHKx3DF2Stbt995AwF-1g74kZSg_21s2IbxnFIfhdumfbB3a1ypefVjf57ebidvMye9ZiF-nV43qWfflw-Xl1na8_Xt2sluu8KYAPuWqJKlnUBspKClViuzVGFsiLuq6hEQapgcKgarGRYotAikslgYzCum7qxVn2ftbdY6cPwfYYHrRHq6-Xaz2dcVGmLi7kPST23cymPn0dU-66t7GhrkNHfowa6rIUi6oSi4S-_Qu982NwqZKJknVKF-QvaocdaetaPwRsJlG9LATwShU_tM7_QaVhUv-b9G_pz-jPAJgDmuBjDNQeCwOuJ_Po2Tw6mUdP5tFVinnzmPC47ckcI366JQFiBmK6cjsKv1X0X9Xva7XO7Q</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Hennig, Kristin</creator><creator>Antignac, Jean Philippe</creator><creator>Bichon, Emmanuelle</creator><creator>Morvan, Marie-Line</creator><creator>Miran, Isabelle</creator><creator>Delaloge, Suzette</creator><creator>Feunteun, Jean</creator><creator>Le Bizec, Bruno</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KB.</scope><scope>KR7</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-7731-8808</orcidid><orcidid>https://orcid.org/0000-0001-9512-9314</orcidid><orcidid>https://orcid.org/0000-0002-0600-5895</orcidid><orcidid>https://orcid.org/0000-0003-2106-9165</orcidid></search><sort><creationdate>2018</creationdate><title>Steroid hormone profiling in human breast adipose tissue using semi-automated purification and highly sensitive determination of estrogens by GC-APCI-MS/MS</title><author>Hennig, Kristin ; Antignac, Jean Philippe ; Bichon, Emmanuelle ; Morvan, Marie-Line ; Miran, Isabelle ; Delaloge, Suzette ; Feunteun, Jean ; Le Bizec, Bruno</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-7fee8459d1684276afbdd45a059991c2daec15da7fac42ba1e704741ed7a99c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>17β-Estradiol</topic><topic>Adipose tissue</topic><topic>Analytical Chemistry</topic><topic>Androgens</topic><topic>Automation</topic><topic>Biochemistry</topic><topic>Biomarkers</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Breast</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Dehydroepiandrosterone</topic><topic>Endocrinology and metabolism</topic><topic>Estrogens</topic><topic>Food Science</topic><topic>Gas chromatography</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Hormones</topic><topic>Human health and pathology</topic><topic>Laboratory Medicine</topic><topic>Life Sciences</topic><topic>Lipids</topic><topic>Liquid chromatography</topic><topic>Mass spectrometry</topic><topic>Metabolites</topic><topic>Methods</topic><topic>Monitoring/Environmental Analysis</topic><topic>Pregnenolone</topic><topic>Purification</topic><topic>Research Paper</topic><topic>Risk factors</topic><topic>Sample preparation</topic><topic>Sex hormones</topic><topic>Steroid hormones</topic><topic>Steroids</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hennig, Kristin</creatorcontrib><creatorcontrib>Antignac, Jean Philippe</creatorcontrib><creatorcontrib>Bichon, Emmanuelle</creatorcontrib><creatorcontrib>Morvan, Marie-Line</creatorcontrib><creatorcontrib>Miran, Isabelle</creatorcontrib><creatorcontrib>Delaloge, Suzette</creatorcontrib><creatorcontrib>Feunteun, Jean</creatorcontrib><creatorcontrib>Le Bizec, Bruno</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Analytical and bioanalytical chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hennig, Kristin</au><au>Antignac, Jean Philippe</au><au>Bichon, Emmanuelle</au><au>Morvan, Marie-Line</au><au>Miran, Isabelle</au><au>Delaloge, Suzette</au><au>Feunteun, Jean</au><au>Le Bizec, Bruno</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Steroid hormone profiling in human breast adipose tissue using semi-automated purification and highly sensitive determination of estrogens by GC-APCI-MS/MS</atitle><jtitle>Analytical and bioanalytical chemistry</jtitle><stitle>Anal Bioanal Chem</stitle><addtitle>Anal Bioanal Chem</addtitle><date>2018</date><risdate>2018</risdate><volume>410</volume><issue>1</issue><spage>259</spage><epage>275</epage><pages>259-275</pages><issn>1618-2642</issn><eissn>1618-2650</eissn><abstract>Body mass index is a known breast cancer risk factor due to, among other mechanisms, adipose-derived hormones. We developed a method for steroid hormone profiling in adipose tissue to evaluate healthy tissue around the tumor and define new biomarkers for cancer development. A semi-automated sample preparation method based on gel permeation chromatography and subsequent derivatization with trimethylsilyl (TMS) is presented. Progestagens and androgens were determined by GC-EI-MS/MS (LOQ 0.5 to 10 ng/g lipids). For estrogen measurement, a highly sensitive GC-APCI-MS/MS method was developed to reach the required lower limits of detection (0.05 to 0.1 ng/g lipids in matrix, 100–200 fg on column for pure standards). The combination of the two methods allows the screening of 27 androgens and progestagens and 4 estrogens from a single sample. Good accuracies and repeatabilities were achieved for each compound class at their respective limit of detection. The method was applied to determine steroid hormone profiles in adipose tissue of 51 patients, collected both at proximity and distant to the tumor. Out of the 31 tested steroid hormones, 14 compounds were detected in human samples. Pregnenolone, 17-hydroxypregnenolone, dehydroepiandrosterone (DHEA), and androstendione accounted together for 80% of the observed steroid hormone profiles, whereas the estrogens accounted for only 1%. These profiles did not differ based on sampling location, except for ß-estradiol; steroid hormone conversions from androgens to estrogens that potentially take place in adipose or tumoral tissue might not be detectable due a factor 100 difference in concentration of for example DHEA and ß-estradiol.
Graphical Abstract
Schematic overview of the determination of steroid hormones and metabolites in adipose tissue in proximity and distal to the tumor</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29147745</pmid><doi>10.1007/s00216-017-0717-8</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0001-7731-8808</orcidid><orcidid>https://orcid.org/0000-0001-9512-9314</orcidid><orcidid>https://orcid.org/0000-0002-0600-5895</orcidid><orcidid>https://orcid.org/0000-0003-2106-9165</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1618-2642 |
| ispartof | Analytical and bioanalytical chemistry, 2018, Vol.410 (1), p.259-275 |
| issn | 1618-2642 1618-2650 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_02626434v1 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | 17β-Estradiol Adipose tissue Analytical Chemistry Androgens Automation Biochemistry Biomarkers Body mass index Body size Breast Breast cancer Cancer Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science Dehydroepiandrosterone Endocrinology and metabolism Estrogens Food Science Gas chromatography Health aspects Health risks Hormones Human health and pathology Laboratory Medicine Life Sciences Lipids Liquid chromatography Mass spectrometry Metabolites Methods Monitoring/Environmental Analysis Pregnenolone Purification Research Paper Risk factors Sample preparation Sex hormones Steroid hormones Steroids |
| title | Steroid hormone profiling in human breast adipose tissue using semi-automated purification and highly sensitive determination of estrogens by GC-APCI-MS/MS |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T23%3A12%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Steroid%20hormone%20profiling%20in%20human%20breast%20adipose%20tissue%20using%20semi-automated%20purification%20and%20highly%20sensitive%20determination%20of%20estrogens%20by%20GC-APCI-MS/MS&rft.jtitle=Analytical%20and%20bioanalytical%20chemistry&rft.au=Hennig,%20Kristin&rft.date=2018&rft.volume=410&rft.issue=1&rft.spage=259&rft.epage=275&rft.pages=259-275&rft.issn=1618-2642&rft.eissn=1618-2650&rft_id=info:doi/10.1007/s00216-017-0717-8&rft_dat=%3Cgale_hal_p%3EA521087523%3C/gale_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1964916814&rft_id=info:pmid/29147745&rft_galeid=A521087523&rfr_iscdi=true |