Staining pattern of specific and cross‐reacting Melan‐A antibodies: A comparative study on 15,840 samples from 133 human tumor types
The Melan‐A (melanocyte antigen) protein, also termed ‘melanoma antigen recognized by T cells 1’ (MART‐1) is a protein with unknown function whose expression is specific for the melanocyte lineage. Antibodies against Melan‐A are thus used for identifying melanocytic tumors, but some Melan‐A antibodi...
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creator | Boroojerdi, Shiva Weidemann, Sören Menz, Anne Lennartz, Maximilian Dwertmann Rico, Sebastian Schlichter, Ria Kind, Simon Reiswich, Viktor Viehweger, Florian Bawahab, Ahmed Abdulwahab Höflmeyer, Doris Fraune, Christoph Gorbokon, Natalia Luebke, Andreas M. Hube‐Magg, Claudia Büscheck, Franziska Krech, Till Hinsch, Andrea Jacobsen, Frank Burandt, Eike Sauter, Guido Simon, Ronald Kluth, Martina Steurer, Stefan Minner, Sarah Marx, Andreas H. Bernreuther, Christian Clauditz, Till S. Dum, David Lebok, Patrick |
description | The Melan‐A (melanocyte antigen) protein, also termed ‘melanoma antigen recognized by T cells 1’ (MART‐1) is a protein with unknown function whose expression is specific for the melanocyte lineage. Antibodies against Melan‐A are thus used for identifying melanocytic tumors, but some Melan‐A antibodies show an additional – diagnostically useful – cross‐reactivity against an unspecified protein involved in corticosteroid hormone synthesis. To comprehensively compare the staining patterns of a specific and a cross‐reactive Melan‐A antibody in normal and neoplastic tissues, tissue microarrays containing 15,840 samples from 133 different tumor types and subtypes as well as 608 samples of 76 different normal tissue types were analyzed by immunohistochemistry. For the Melan‐A‐specific antibody ‘Melan‐A specific’ (MSVA‐900M), Melan‐A positivity was seen in 96.0% of 25 benign nevi, 93.0% of 40 primary and 86.7% of 75 metastatic melanomas, 82.4% of 85 renal angiomyolipomas as well as 96.4% of 84 neurofibromas, 2.2% of 46 granular cell tumors, 1.0% of 104 schwannomas, and 1.1% of 87 leiomyosarcomas. The cross‐reactive antibody ‘Melan‐A+' (MSVA‐901M+) stained 98.1% of the tumors stained by ‘Melan‐A specific’. In addition, high positivity rates were seen in sex‐cord‐stroma tumors of the ovary (35.3%–100%) and the testis (86.7%) as well as for adrenocortical neoplasms (76.3%–83.0%). Only nine further tumor groups showed Melan‐A+ staining, including five different categories of urothelial carcinomas. Our data provide a comprehensive overview on the staining patterns of specific and cross‐reactive Melan‐A antibodies. The data demonstrate that both antibodies are highly useful for their specific purpose. It is important for pathologists to distinguish these two Melan‐A antibody subtypes for their daily work. |
doi_str_mv | 10.1111/apm.13408 |
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Antibodies against Melan‐A are thus used for identifying melanocytic tumors, but some Melan‐A antibodies show an additional – diagnostically useful – cross‐reactivity against an unspecified protein involved in corticosteroid hormone synthesis. To comprehensively compare the staining patterns of a specific and a cross‐reactive Melan‐A antibody in normal and neoplastic tissues, tissue microarrays containing 15,840 samples from 133 different tumor types and subtypes as well as 608 samples of 76 different normal tissue types were analyzed by immunohistochemistry. For the Melan‐A‐specific antibody ‘Melan‐A specific’ (MSVA‐900M), Melan‐A positivity was seen in 96.0% of 25 benign nevi, 93.0% of 40 primary and 86.7% of 75 metastatic melanomas, 82.4% of 85 renal angiomyolipomas as well as 96.4% of 84 neurofibromas, 2.2% of 46 granular cell tumors, 1.0% of 104 schwannomas, and 1.1% of 87 leiomyosarcomas. The cross‐reactive antibody ‘Melan‐A+' (MSVA‐901M+) stained 98.1% of the tumors stained by ‘Melan‐A specific’. In addition, high positivity rates were seen in sex‐cord‐stroma tumors of the ovary (35.3%–100%) and the testis (86.7%) as well as for adrenocortical neoplasms (76.3%–83.0%). Only nine further tumor groups showed Melan‐A+ staining, including five different categories of urothelial carcinomas. Our data provide a comprehensive overview on the staining patterns of specific and cross‐reactive Melan‐A antibodies. The data demonstrate that both antibodies are highly useful for their specific purpose. It is important for pathologists to distinguish these two Melan‐A antibody subtypes for their daily work.</description><identifier>ISSN: 0903-4641</identifier><identifier>ISSN: 1600-0463</identifier><identifier>EISSN: 1600-0463</identifier><identifier>DOI: 10.1111/apm.13408</identifier><identifier>PMID: 38757248</identifier><language>eng</language><publisher>Denmark: Wiley Subscription Services, Inc</publisher><subject>Antibodies ; Antigens ; Biomarkers, Tumor - analysis ; Biomarkers, Tumor - immunology ; Comparative studies ; Cross Reactions - immunology ; Cross‐reactive antibody ; diagnostic ; Female ; Humans ; Immunohistochemistry ; Immunohistochemistry - methods ; Lymphocytes ; Lymphocytes T ; MART-1 Antigen - analysis ; MART-1 Antigen - immunology ; Melanoma ; Melanoma - diagnosis ; Melanoma - immunology ; Melanoma - pathology ; Melan‐A ; Metastases ; Neoplasms ; Neoplasms - diagnosis ; Neoplasms - immunology ; Neoplasms - pathology ; Proteins ; Staining ; Stroma ; Tissue Array Analysis ; tissue microarray ; Tumors ; Urothelial carcinoma</subject><ispartof>APMIS : acta pathologica, microbiologica et immunologica Scandinavica, 2024-07, Vol.132 (7), p.479-491</ispartof><rights>2024 The Author(s). published by John Wiley & Sons Ltd on behalf of Scandinavian Societies for Pathology, Medical Microbiology and Immunology.</rights><rights>2024 The Author(s). 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Antibodies against Melan‐A are thus used for identifying melanocytic tumors, but some Melan‐A antibodies show an additional – diagnostically useful – cross‐reactivity against an unspecified protein involved in corticosteroid hormone synthesis. To comprehensively compare the staining patterns of a specific and a cross‐reactive Melan‐A antibody in normal and neoplastic tissues, tissue microarrays containing 15,840 samples from 133 different tumor types and subtypes as well as 608 samples of 76 different normal tissue types were analyzed by immunohistochemistry. For the Melan‐A‐specific antibody ‘Melan‐A specific’ (MSVA‐900M), Melan‐A positivity was seen in 96.0% of 25 benign nevi, 93.0% of 40 primary and 86.7% of 75 metastatic melanomas, 82.4% of 85 renal angiomyolipomas as well as 96.4% of 84 neurofibromas, 2.2% of 46 granular cell tumors, 1.0% of 104 schwannomas, and 1.1% of 87 leiomyosarcomas. The cross‐reactive antibody ‘Melan‐A+' (MSVA‐901M+) stained 98.1% of the tumors stained by ‘Melan‐A specific’. In addition, high positivity rates were seen in sex‐cord‐stroma tumors of the ovary (35.3%–100%) and the testis (86.7%) as well as for adrenocortical neoplasms (76.3%–83.0%). Only nine further tumor groups showed Melan‐A+ staining, including five different categories of urothelial carcinomas. Our data provide a comprehensive overview on the staining patterns of specific and cross‐reactive Melan‐A antibodies. The data demonstrate that both antibodies are highly useful for their specific purpose. It is important for pathologists to distinguish these two Melan‐A antibody subtypes for their daily work.</description><subject>Antibodies</subject><subject>Antigens</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Biomarkers, Tumor - immunology</subject><subject>Comparative studies</subject><subject>Cross Reactions - immunology</subject><subject>Cross‐reactive antibody</subject><subject>diagnostic</subject><subject>Female</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Immunohistochemistry - methods</subject><subject>Lymphocytes</subject><subject>Lymphocytes T</subject><subject>MART-1 Antigen - analysis</subject><subject>MART-1 Antigen - immunology</subject><subject>Melanoma</subject><subject>Melanoma - diagnosis</subject><subject>Melanoma - immunology</subject><subject>Melanoma - pathology</subject><subject>Melan‐A</subject><subject>Metastases</subject><subject>Neoplasms</subject><subject>Neoplasms - diagnosis</subject><subject>Neoplasms - immunology</subject><subject>Neoplasms - pathology</subject><subject>Proteins</subject><subject>Staining</subject><subject>Stroma</subject><subject>Tissue Array Analysis</subject><subject>tissue microarray</subject><subject>Tumors</subject><subject>Urothelial carcinoma</subject><issn>0903-4641</issn><issn>1600-0463</issn><issn>1600-0463</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp10cFqFTEUBuAgir1WF76ABNwoOG0yyWQy7i7FVqFFQV0PJ5kzmjKZjElGuTuXLn1Gn8Tc3upCMJtA8vGTk5-Qx5yd8LJOYfEnXEim75ANV4xVTCpxl2xYx0QlleRH5EFK14zxWqv2PjkSum3aWuoN-fE-g5vd_IkukDPGmYaRpgWtG52lMA_UxpDSr-8_I4LNe3iFE8zlYFuuszNhcJhe0i21wS8QIbuvSFNehx0NM-XNCy0ZTeCXCRMdY_CUC0E_rx5mmlcfIs27BdNDcm-EKeGj2_2YfDx_9eHsdXX59uLN2fayskJqXYnOtDBI4KJWHW-Y5abmoGWtuVYDcGxN19WdbphWY601WGVMZ8GYEQyvURyTZ4fcJYYvK6bce5csTmUmDGvqBWuUUkIoWejTf-h1WONcXleUkrrVrNur5wd181ERx36JzkPc9Zz1-3r6Uk9_U0-xT24TV-Nx-Cv_9FHA6QF8cxPu_p_Ub99dHSJ_A8M1ml8</recordid><startdate>202407</startdate><enddate>202407</enddate><creator>Boroojerdi, Shiva</creator><creator>Weidemann, Sören</creator><creator>Menz, Anne</creator><creator>Lennartz, Maximilian</creator><creator>Dwertmann Rico, Sebastian</creator><creator>Schlichter, Ria</creator><creator>Kind, Simon</creator><creator>Reiswich, Viktor</creator><creator>Viehweger, Florian</creator><creator>Bawahab, Ahmed Abdulwahab</creator><creator>Höflmeyer, Doris</creator><creator>Fraune, Christoph</creator><creator>Gorbokon, Natalia</creator><creator>Luebke, Andreas M.</creator><creator>Hube‐Magg, Claudia</creator><creator>Büscheck, Franziska</creator><creator>Krech, Till</creator><creator>Hinsch, Andrea</creator><creator>Jacobsen, Frank</creator><creator>Burandt, Eike</creator><creator>Sauter, Guido</creator><creator>Simon, Ronald</creator><creator>Kluth, Martina</creator><creator>Steurer, Stefan</creator><creator>Minner, Sarah</creator><creator>Marx, Andreas H.</creator><creator>Bernreuther, Christian</creator><creator>Clauditz, Till S.</creator><creator>Dum, David</creator><creator>Lebok, Patrick</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><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>7QL</scope><scope>7T5</scope><scope>7T7</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7542-4340</orcidid><orcidid>https://orcid.org/0000-0002-5705-9084</orcidid><orcidid>https://orcid.org/0000-0003-0158-4258</orcidid><orcidid>https://orcid.org/0000-0002-1572-8200</orcidid><orcidid>https://orcid.org/0000-0003-3939-322X</orcidid></search><sort><creationdate>202407</creationdate><title>Staining pattern of specific and cross‐reacting Melan‐A antibodies: A comparative study on 15,840 samples from 133 human tumor types</title><author>Boroojerdi, Shiva ; Weidemann, Sören ; Menz, Anne ; Lennartz, Maximilian ; Dwertmann Rico, Sebastian ; Schlichter, Ria ; Kind, Simon ; Reiswich, Viktor ; Viehweger, Florian ; Bawahab, Ahmed Abdulwahab ; Höflmeyer, Doris ; Fraune, Christoph ; Gorbokon, Natalia ; Luebke, Andreas M. ; Hube‐Magg, Claudia ; Büscheck, Franziska ; Krech, Till ; Hinsch, Andrea ; Jacobsen, Frank ; Burandt, Eike ; Sauter, Guido ; Simon, Ronald ; Kluth, Martina ; Steurer, Stefan ; Minner, Sarah ; Marx, Andreas H. ; Bernreuther, Christian ; Clauditz, Till S. ; Dum, David ; Lebok, Patrick</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3488-39b7ad4a13269150c1b21a8428186da1e7b992985086f288ac6bb9cabbfab12e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Antibodies</topic><topic>Antigens</topic><topic>Biomarkers, Tumor - 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Antibodies against Melan‐A are thus used for identifying melanocytic tumors, but some Melan‐A antibodies show an additional – diagnostically useful – cross‐reactivity against an unspecified protein involved in corticosteroid hormone synthesis. To comprehensively compare the staining patterns of a specific and a cross‐reactive Melan‐A antibody in normal and neoplastic tissues, tissue microarrays containing 15,840 samples from 133 different tumor types and subtypes as well as 608 samples of 76 different normal tissue types were analyzed by immunohistochemistry. For the Melan‐A‐specific antibody ‘Melan‐A specific’ (MSVA‐900M), Melan‐A positivity was seen in 96.0% of 25 benign nevi, 93.0% of 40 primary and 86.7% of 75 metastatic melanomas, 82.4% of 85 renal angiomyolipomas as well as 96.4% of 84 neurofibromas, 2.2% of 46 granular cell tumors, 1.0% of 104 schwannomas, and 1.1% of 87 leiomyosarcomas. The cross‐reactive antibody ‘Melan‐A+' (MSVA‐901M+) stained 98.1% of the tumors stained by ‘Melan‐A specific’. In addition, high positivity rates were seen in sex‐cord‐stroma tumors of the ovary (35.3%–100%) and the testis (86.7%) as well as for adrenocortical neoplasms (76.3%–83.0%). Only nine further tumor groups showed Melan‐A+ staining, including five different categories of urothelial carcinomas. Our data provide a comprehensive overview on the staining patterns of specific and cross‐reactive Melan‐A antibodies. The data demonstrate that both antibodies are highly useful for their specific purpose. It is important for pathologists to distinguish these two Melan‐A antibody subtypes for their daily work.</abstract><cop>Denmark</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38757248</pmid><doi>10.1111/apm.13408</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-7542-4340</orcidid><orcidid>https://orcid.org/0000-0002-5705-9084</orcidid><orcidid>https://orcid.org/0000-0003-0158-4258</orcidid><orcidid>https://orcid.org/0000-0002-1572-8200</orcidid><orcidid>https://orcid.org/0000-0003-3939-322X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0903-4641 |
ispartof | APMIS : acta pathologica, microbiologica et immunologica Scandinavica, 2024-07, Vol.132 (7), p.479-491 |
issn | 0903-4641 1600-0463 1600-0463 |
language | eng |
recordid | cdi_proquest_miscellaneous_3056663364 |
source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
subjects | Antibodies Antigens Biomarkers, Tumor - analysis Biomarkers, Tumor - immunology Comparative studies Cross Reactions - immunology Cross‐reactive antibody diagnostic Female Humans Immunohistochemistry Immunohistochemistry - methods Lymphocytes Lymphocytes T MART-1 Antigen - analysis MART-1 Antigen - immunology Melanoma Melanoma - diagnosis Melanoma - immunology Melanoma - pathology Melan‐A Metastases Neoplasms Neoplasms - diagnosis Neoplasms - immunology Neoplasms - pathology Proteins Staining Stroma Tissue Array Analysis tissue microarray Tumors Urothelial carcinoma |
title | Staining pattern of specific and cross‐reacting Melan‐A antibodies: A comparative study on 15,840 samples from 133 human tumor types |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-14T00%3A43%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Staining%20pattern%20of%20specific%20and%20cross%E2%80%90reacting%20Melan%E2%80%90A%20antibodies:%20A%20comparative%20study%20on%2015,840%20samples%20from%20133%20human%20tumor%20types&rft.jtitle=APMIS%20:%20acta%20pathologica,%20microbiologica%20et%20immunologica%20Scandinavica&rft.au=Boroojerdi,%20Shiva&rft.date=2024-07&rft.volume=132&rft.issue=7&rft.spage=479&rft.epage=491&rft.pages=479-491&rft.issn=0903-4641&rft.eissn=1600-0463&rft_id=info:doi/10.1111/apm.13408&rft_dat=%3Cproquest_cross%3E3064878094%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3064878094&rft_id=info:pmid/38757248&rfr_iscdi=true |