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Melanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation
Abstract Background Molecular markers displaying bimodal expression distribution can reveal distinct disease subsets and may serve as prognostic or predictive markers or represent therapeutic targets. Oestrogen (ER) and human epidermal growth factor receptor 2 (HER2) receptors are strongly bimodally...
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Published in: | European journal of cancer (1990) 2012-01, Vol.48 (1), p.12-23 |
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creator | Karn, Thomas Pusztai, Lajos Ruckhäberle, Eugen Liedtke, Cornelia Müller, Volkmar Schmidt, Marcus Metzler, Dirk Wang, Jing Coombes, Kevin R Gätje, Regine Hanker, Lars Solbach, Christine Ahr, Andre Holtrich, Uwe Rody, Achim Kaufmann, Manfred |
description | Abstract Background Molecular markers displaying bimodal expression distribution can reveal distinct disease subsets and may serve as prognostic or predictive markers or represent therapeutic targets. Oestrogen (ER) and human epidermal growth factor receptor 2 (HER2) receptors are strongly bimodally expressed genes in breast cancer. Material and methods We applied a novel method to identify bimodally expressed genes in 394 triple negative breast cancers (TNBC). We identified 133 bimodally expressed probe sets (128 unique genes), 69 of these correlated to previously reported metagenes that define molecular subtypes within TNBC including basal-like, molecular-apocrine, claudin-low and immune cell rich subgroups but 64 probe sets showed no correlation with these features. Results The single most prominent functional group among these uncorrelated genes was the X chromosome derived Cancer/Testis Antigens (CT-X) including melanoma antigen family A (MAGE-A) and Cancer/Testis Antigens (CTAG). High expression of CT-X genes correlated with worse survival in multivariate analysis (HR 2.02, 95% CI 1.27–3.20; P = 0.003). The only other significant variable was lymph node status. The poor prognosis of patients with high MAGE-A expression was ameliorated by the concomitant high expression of immune cell metagenes (HR 1.87, 95% CI 0.96–3.64; P = 0.060), whereas the same immune metagene had lesser prognostic value in TNBC with low MAGE-A expression. Conclusions MAGE-A antigen defines a very aggressive subgroup of TNBC; particularly in the absence of immune infiltration in the tumour microenvironment. These observations suggest a therapeutic hypothesis; TNBC with MAGE-A expression may benefit the most from further augmentation of the immune response. Novel immune stimulatory drugs such as (anti-cytotoxic T-lymphocyte antigen-4 CTLA-4) directed therapies provide a realistic opportunity to directly test this hypothesis in the clinic. |
doi_str_mv | 10.1016/j.ejca.2011.06.025 |
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Oestrogen (ER) and human epidermal growth factor receptor 2 (HER2) receptors are strongly bimodally expressed genes in breast cancer. Material and methods We applied a novel method to identify bimodally expressed genes in 394 triple negative breast cancers (TNBC). We identified 133 bimodally expressed probe sets (128 unique genes), 69 of these correlated to previously reported metagenes that define molecular subtypes within TNBC including basal-like, molecular-apocrine, claudin-low and immune cell rich subgroups but 64 probe sets showed no correlation with these features. Results The single most prominent functional group among these uncorrelated genes was the X chromosome derived Cancer/Testis Antigens (CT-X) including melanoma antigen family A (MAGE-A) and Cancer/Testis Antigens (CTAG). High expression of CT-X genes correlated with worse survival in multivariate analysis (HR 2.02, 95% CI 1.27–3.20; P = 0.003). The only other significant variable was lymph node status. The poor prognosis of patients with high MAGE-A expression was ameliorated by the concomitant high expression of immune cell metagenes (HR 1.87, 95% CI 0.96–3.64; P = 0.060), whereas the same immune metagene had lesser prognostic value in TNBC with low MAGE-A expression. Conclusions MAGE-A antigen defines a very aggressive subgroup of TNBC; particularly in the absence of immune infiltration in the tumour microenvironment. These observations suggest a therapeutic hypothesis; TNBC with MAGE-A expression may benefit the most from further augmentation of the immune response. Novel immune stimulatory drugs such as (anti-cytotoxic T-lymphocyte antigen-4 CTLA-4) directed therapies provide a realistic opportunity to directly test this hypothesis in the clinic.</description><identifier>ISSN: 0959-8049</identifier><identifier>EISSN: 1879-0852</identifier><identifier>DOI: 10.1016/j.ejca.2011.06.025</identifier><identifier>PMID: 21741824</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Bimodal expression ; Biological and medical sciences ; Breast Neoplasms - classification ; Breast Neoplasms - diagnosis ; Breast Neoplasms - genetics ; Breast Neoplasms - therapy ; Cancer Vaccines - therapeutic use ; Carcinoma - classification ; Carcinoma - diagnosis ; Carcinoma - genetics ; Carcinoma - therapy ; CT-X antigens ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Health Status Indicators ; Hematology, Oncology and Palliative Medicine ; Humans ; Immune therapy ; Immunotherapy - methods ; Medical sciences ; Melanoma-Specific Antigens - analysis ; Melanoma-Specific Antigens - genetics ; Melanoma-Specific Antigens - physiology ; Microarray Analysis ; Middle Aged ; Pharmacology. Drug treatments ; Prognostic markers ; Receptor, ErbB-2 - genetics ; Receptor, ErbB-2 - metabolism ; Receptors, Estrogen - genetics ; Receptors, Estrogen - metabolism ; Receptors, Progesterone - genetics ; Receptors, Progesterone - metabolism ; Subtypes of breast cancer ; Tumors</subject><ispartof>European journal of cancer (1990), 2012-01, Vol.48 (1), p.12-23</ispartof><rights>Elsevier Ltd</rights><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c539t-4c927c36f92207f02cd44d4878c9b1cbd95a66c974c497e0c78b5ec908875fbc3</citedby><cites>FETCH-LOGICAL-c539t-4c927c36f92207f02cd44d4878c9b1cbd95a66c974c497e0c78b5ec908875fbc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25403785$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21741824$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Karn, Thomas</creatorcontrib><creatorcontrib>Pusztai, Lajos</creatorcontrib><creatorcontrib>Ruckhäberle, Eugen</creatorcontrib><creatorcontrib>Liedtke, Cornelia</creatorcontrib><creatorcontrib>Müller, Volkmar</creatorcontrib><creatorcontrib>Schmidt, Marcus</creatorcontrib><creatorcontrib>Metzler, Dirk</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Coombes, Kevin R</creatorcontrib><creatorcontrib>Gätje, Regine</creatorcontrib><creatorcontrib>Hanker, Lars</creatorcontrib><creatorcontrib>Solbach, Christine</creatorcontrib><creatorcontrib>Ahr, Andre</creatorcontrib><creatorcontrib>Holtrich, Uwe</creatorcontrib><creatorcontrib>Rody, Achim</creatorcontrib><creatorcontrib>Kaufmann, Manfred</creatorcontrib><title>Melanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation</title><title>European journal of cancer (1990)</title><addtitle>Eur J Cancer</addtitle><description>Abstract Background Molecular markers displaying bimodal expression distribution can reveal distinct disease subsets and may serve as prognostic or predictive markers or represent therapeutic targets. Oestrogen (ER) and human epidermal growth factor receptor 2 (HER2) receptors are strongly bimodally expressed genes in breast cancer. Material and methods We applied a novel method to identify bimodally expressed genes in 394 triple negative breast cancers (TNBC). We identified 133 bimodally expressed probe sets (128 unique genes), 69 of these correlated to previously reported metagenes that define molecular subtypes within TNBC including basal-like, molecular-apocrine, claudin-low and immune cell rich subgroups but 64 probe sets showed no correlation with these features. Results The single most prominent functional group among these uncorrelated genes was the X chromosome derived Cancer/Testis Antigens (CT-X) including melanoma antigen family A (MAGE-A) and Cancer/Testis Antigens (CTAG). High expression of CT-X genes correlated with worse survival in multivariate analysis (HR 2.02, 95% CI 1.27–3.20; P = 0.003). The only other significant variable was lymph node status. The poor prognosis of patients with high MAGE-A expression was ameliorated by the concomitant high expression of immune cell metagenes (HR 1.87, 95% CI 0.96–3.64; P = 0.060), whereas the same immune metagene had lesser prognostic value in TNBC with low MAGE-A expression. Conclusions MAGE-A antigen defines a very aggressive subgroup of TNBC; particularly in the absence of immune infiltration in the tumour microenvironment. These observations suggest a therapeutic hypothesis; TNBC with MAGE-A expression may benefit the most from further augmentation of the immune response. Novel immune stimulatory drugs such as (anti-cytotoxic T-lymphocyte antigen-4 CTLA-4) directed therapies provide a realistic opportunity to directly test this hypothesis in the clinic.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Bimodal expression</subject><subject>Biological and medical sciences</subject><subject>Breast Neoplasms - classification</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - therapy</subject><subject>Cancer Vaccines - therapeutic use</subject><subject>Carcinoma - classification</subject><subject>Carcinoma - diagnosis</subject><subject>Carcinoma - genetics</subject><subject>Carcinoma - therapy</subject><subject>CT-X antigens</subject><subject>Female</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Health Status Indicators</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Immune therapy</subject><subject>Immunotherapy - methods</subject><subject>Medical sciences</subject><subject>Melanoma-Specific Antigens - analysis</subject><subject>Melanoma-Specific Antigens - genetics</subject><subject>Melanoma-Specific Antigens - physiology</subject><subject>Microarray Analysis</subject><subject>Middle Aged</subject><subject>Pharmacology. Drug treatments</subject><subject>Prognostic markers</subject><subject>Receptor, ErbB-2 - genetics</subject><subject>Receptor, ErbB-2 - metabolism</subject><subject>Receptors, Estrogen - genetics</subject><subject>Receptors, Estrogen - metabolism</subject><subject>Receptors, Progesterone - genetics</subject><subject>Receptors, Progesterone - metabolism</subject><subject>Subtypes of breast cancer</subject><subject>Tumors</subject><issn>0959-8049</issn><issn>1879-0852</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9ksGOFCEURStG4_SM_oALw8boplugqAISM8lk4qjJGBfqmlDwaGmroAVqYv-M3yqVbjVxMSsIOfc-cu9rmmcEbwgm_evdBnZGbygmZIP7Dabdg2ZFBJdrLDr6sFlh2cm1wEyeNec57zDGXDD8uDmjhDMiKFs1vz7CqEOcNNKh-C0E5PTkxwO6Qt5CfXIeLBoOqHwDNPgpWj36ckA-WPiJLDgfICON8jxkKCg6VJLfj4ACbHXxd1WUQOeCjA4GUkXzcrXe6lKFLibkp2kOgBLkfQwZkJ63U51c1TE8aR45PWZ4ejovmq83b79cv1_ffnr34frqdm26VpY1M5Jy0_ZOUoq5w9RYxiwTXBg5EDNY2em-N5IzwyQHbLgYOjASC8E7N5j2onl59N2n-GOGXNTks4GxZgNxzkoSIlvMO17JV_eSBFdTxrnoKkqPqEkx5wRO7ZOfdDpUSC0Nqp1aGlRLgwr3qjZYRc9P_vMwgf0r-VNZBV6cAJ2NHl2qwfr8j-sYbo_T3xw5qLndeUgqGw-1BOsTmKJs9Pf_4_I_uRl98HXidzhA3sU5hdqIIipThdXnZdeWVSM1AEYlaX8DitTQ3w</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Karn, Thomas</creator><creator>Pusztai, Lajos</creator><creator>Ruckhäberle, Eugen</creator><creator>Liedtke, Cornelia</creator><creator>Müller, Volkmar</creator><creator>Schmidt, Marcus</creator><creator>Metzler, Dirk</creator><creator>Wang, Jing</creator><creator>Coombes, Kevin R</creator><creator>Gätje, Regine</creator><creator>Hanker, Lars</creator><creator>Solbach, Christine</creator><creator>Ahr, Andre</creator><creator>Holtrich, Uwe</creator><creator>Rody, Achim</creator><creator>Kaufmann, Manfred</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</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>7T5</scope><scope>H94</scope><scope>7X8</scope></search><sort><creationdate>20120101</creationdate><title>Melanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation</title><author>Karn, Thomas ; Pusztai, Lajos ; Ruckhäberle, Eugen ; Liedtke, Cornelia ; Müller, Volkmar ; Schmidt, Marcus ; Metzler, Dirk ; Wang, Jing ; Coombes, Kevin R ; Gätje, Regine ; Hanker, Lars ; Solbach, Christine ; Ahr, Andre ; Holtrich, Uwe ; Rody, Achim ; Kaufmann, Manfred</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c539t-4c927c36f92207f02cd44d4878c9b1cbd95a66c974c497e0c78b5ec908875fbc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Bimodal expression</topic><topic>Biological and medical sciences</topic><topic>Breast Neoplasms - classification</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast Neoplasms - genetics</topic><topic>Breast Neoplasms - therapy</topic><topic>Cancer Vaccines - therapeutic use</topic><topic>Carcinoma - classification</topic><topic>Carcinoma - diagnosis</topic><topic>Carcinoma - genetics</topic><topic>Carcinoma - therapy</topic><topic>CT-X antigens</topic><topic>Female</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Health Status Indicators</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Immune therapy</topic><topic>Immunotherapy - methods</topic><topic>Medical sciences</topic><topic>Melanoma-Specific Antigens - analysis</topic><topic>Melanoma-Specific Antigens - genetics</topic><topic>Melanoma-Specific Antigens - physiology</topic><topic>Microarray Analysis</topic><topic>Middle Aged</topic><topic>Pharmacology. Drug treatments</topic><topic>Prognostic markers</topic><topic>Receptor, ErbB-2 - genetics</topic><topic>Receptor, ErbB-2 - metabolism</topic><topic>Receptors, Estrogen - genetics</topic><topic>Receptors, Estrogen - metabolism</topic><topic>Receptors, Progesterone - genetics</topic><topic>Receptors, Progesterone - metabolism</topic><topic>Subtypes of breast cancer</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karn, Thomas</creatorcontrib><creatorcontrib>Pusztai, Lajos</creatorcontrib><creatorcontrib>Ruckhäberle, Eugen</creatorcontrib><creatorcontrib>Liedtke, Cornelia</creatorcontrib><creatorcontrib>Müller, Volkmar</creatorcontrib><creatorcontrib>Schmidt, Marcus</creatorcontrib><creatorcontrib>Metzler, Dirk</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Coombes, Kevin R</creatorcontrib><creatorcontrib>Gätje, Regine</creatorcontrib><creatorcontrib>Hanker, Lars</creatorcontrib><creatorcontrib>Solbach, Christine</creatorcontrib><creatorcontrib>Ahr, Andre</creatorcontrib><creatorcontrib>Holtrich, Uwe</creatorcontrib><creatorcontrib>Rody, Achim</creatorcontrib><creatorcontrib>Kaufmann, Manfred</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of cancer (1990)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karn, Thomas</au><au>Pusztai, Lajos</au><au>Ruckhäberle, Eugen</au><au>Liedtke, Cornelia</au><au>Müller, Volkmar</au><au>Schmidt, Marcus</au><au>Metzler, Dirk</au><au>Wang, Jing</au><au>Coombes, Kevin R</au><au>Gätje, Regine</au><au>Hanker, Lars</au><au>Solbach, Christine</au><au>Ahr, Andre</au><au>Holtrich, Uwe</au><au>Rody, Achim</au><au>Kaufmann, Manfred</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Melanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation</atitle><jtitle>European journal of cancer (1990)</jtitle><addtitle>Eur J Cancer</addtitle><date>2012-01-01</date><risdate>2012</risdate><volume>48</volume><issue>1</issue><spage>12</spage><epage>23</epage><pages>12-23</pages><issn>0959-8049</issn><eissn>1879-0852</eissn><abstract>Abstract Background Molecular markers displaying bimodal expression distribution can reveal distinct disease subsets and may serve as prognostic or predictive markers or represent therapeutic targets. Oestrogen (ER) and human epidermal growth factor receptor 2 (HER2) receptors are strongly bimodally expressed genes in breast cancer. Material and methods We applied a novel method to identify bimodally expressed genes in 394 triple negative breast cancers (TNBC). We identified 133 bimodally expressed probe sets (128 unique genes), 69 of these correlated to previously reported metagenes that define molecular subtypes within TNBC including basal-like, molecular-apocrine, claudin-low and immune cell rich subgroups but 64 probe sets showed no correlation with these features. Results The single most prominent functional group among these uncorrelated genes was the X chromosome derived Cancer/Testis Antigens (CT-X) including melanoma antigen family A (MAGE-A) and Cancer/Testis Antigens (CTAG). High expression of CT-X genes correlated with worse survival in multivariate analysis (HR 2.02, 95% CI 1.27–3.20; P = 0.003). The only other significant variable was lymph node status. The poor prognosis of patients with high MAGE-A expression was ameliorated by the concomitant high expression of immune cell metagenes (HR 1.87, 95% CI 0.96–3.64; P = 0.060), whereas the same immune metagene had lesser prognostic value in TNBC with low MAGE-A expression. Conclusions MAGE-A antigen defines a very aggressive subgroup of TNBC; particularly in the absence of immune infiltration in the tumour microenvironment. These observations suggest a therapeutic hypothesis; TNBC with MAGE-A expression may benefit the most from further augmentation of the immune response. Novel immune stimulatory drugs such as (anti-cytotoxic T-lymphocyte antigen-4 CTLA-4) directed therapies provide a realistic opportunity to directly test this hypothesis in the clinic.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>21741824</pmid><doi>10.1016/j.ejca.2011.06.025</doi><tpages>12</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Algorithms Bimodal expression Biological and medical sciences Breast Neoplasms - classification Breast Neoplasms - diagnosis Breast Neoplasms - genetics Breast Neoplasms - therapy Cancer Vaccines - therapeutic use Carcinoma - classification Carcinoma - diagnosis Carcinoma - genetics Carcinoma - therapy CT-X antigens Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Health Status Indicators Hematology, Oncology and Palliative Medicine Humans Immune therapy Immunotherapy - methods Medical sciences Melanoma-Specific Antigens - analysis Melanoma-Specific Antigens - genetics Melanoma-Specific Antigens - physiology Microarray Analysis Middle Aged Pharmacology. Drug treatments Prognostic markers Receptor, ErbB-2 - genetics Receptor, ErbB-2 - metabolism Receptors, Estrogen - genetics Receptors, Estrogen - metabolism Receptors, Progesterone - genetics Receptors, Progesterone - metabolism Subtypes of breast cancer Tumors |
title | Melanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation |
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