BAG-1 as a biomarker in early breast cancer prognosis: a systematic review with meta-analyses
Background: The co-chaperone protein Bcl-2-associated athanogene-1 (BAG-1) is overexpressed in breast cancer and has been incorporated in the oncotype DX and PAM50 breast cancer prognostic assays. Bcl-2-associated athanogene-1 exists as multiple protein isoforms that interact with diverse partners,...
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| Veröffentlicht in: | British journal of cancer 2017-06, Vol.116 (12), p.1585-1594 |
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| container_title | British journal of cancer |
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| creator | Papadakis, E S Reeves, T Robson, N H Maishman, T Packham, G Cutress, R I |
| description | Background:
The co-chaperone protein Bcl-2-associated athanogene-1 (BAG-1) is overexpressed in breast cancer and has been incorporated in the oncotype DX and PAM50 breast cancer prognostic assays. Bcl-2-associated athanogene-1 exists as multiple protein isoforms that interact with diverse partners, including chaperones Hsc70/Hsp70, Ser/Thr kinase Raf-1 and Bcl-2, to promote cancer cell survival. The BAG-1L isoform specifically binds to and increases the transcriptional activity of oestrogen receptor in cells, and in some, but not all studies, BAG-1 expression is predictive of clinical outcome in breast cancer.
Methods:
A systematic review of published studies reporting BAG-1 (mRNA and/or protein) expression and clinical outcome in early breast cancer. The REporting Recommendations for Tumour MARKer and Prognostic Studies (REMARK) criteria were used as a template against which data were assessed. Meta-analyses were performed for studies that provided a hazard ratio and 95% confidence intervals for clinical outcomes including disease-free survival or breast cancer-specific survival from univariate analysis.
Results:
Eighteen studies used differing methodologies and reported on differing outcomes. Meta-analyses were only possible on results from a subset of reported studies. Meta-analyses suggested improved outcome with high BAG-1 mRNA and high BAG-1 nuclear expression by immunohistochemisty.
Conclusions:
Increased levels of BAG-1 are associated with better breast cancer outcomes. |
| doi_str_mv | 10.1038/bjc.2017.130 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5518859</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4322732645</sourcerecordid><originalsourceid>FETCH-LOGICAL-c483t-4ca1f9e9e79bec4014912283f91b772e898c2d1830590b1e0ced05298f8629853</originalsourceid><addsrcrecordid>eNqFkcFrFDEUh4Modq3ePEvAiwdnfS8zmSQehFq0CgUvepSQyb7ZZp2ZrMlsy_73ZtlaqgheEpL38Xt5-Rh7jrBEqPWbbuOXAlAtsYYHbIGyFhVqoR6yBQCoCoyAE_Yk5005GtDqMTsRWiJIBQv2_f3ZRYXcZe54F-Lo0g9KPEycXBr2vEvk8sy9m3y53qa4nmIO-W2h8z7PNLo5eJ7oOtANvwnzFR9pdpWb3LDPlJ-yR70bMj273U_Zt48fvp5_qi6_XHw-P7usfKPruWq8w96QIWU68g1gY1AIXfcGO6UEaaO9WKGuQRrokMDTCqQwutdtWWV9yt4dc7e7bqSVp2lObrDbFMpAextdsH9WpnBl1_HaSolaS1MCXt0GpPhzR3m2Y8iehsFNFHfZokFs0UjZ_B_VxigjatUW9OVf6CbuUvmbQyC0DTaiFYV6faR8ijkn6u_ejWAPim1RbA-KbVFc8Bf3Z72DfzstQHUEcilNa0r3uv4r8BexPa9Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1906414262</pqid></control><display><type>article</type><title>BAG-1 as a biomarker in early breast cancer prognosis: a systematic review with meta-analyses</title><source>MEDLINE</source><source>Nature</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Papadakis, E S ; Reeves, T ; Robson, N H ; Maishman, T ; Packham, G ; Cutress, R I</creator><creatorcontrib>Papadakis, E S ; Reeves, T ; Robson, N H ; Maishman, T ; Packham, G ; Cutress, R I</creatorcontrib><description>Background:
The co-chaperone protein Bcl-2-associated athanogene-1 (BAG-1) is overexpressed in breast cancer and has been incorporated in the oncotype DX and PAM50 breast cancer prognostic assays. Bcl-2-associated athanogene-1 exists as multiple protein isoforms that interact with diverse partners, including chaperones Hsc70/Hsp70, Ser/Thr kinase Raf-1 and Bcl-2, to promote cancer cell survival. The BAG-1L isoform specifically binds to and increases the transcriptional activity of oestrogen receptor in cells, and in some, but not all studies, BAG-1 expression is predictive of clinical outcome in breast cancer.
Methods:
A systematic review of published studies reporting BAG-1 (mRNA and/or protein) expression and clinical outcome in early breast cancer. The REporting Recommendations for Tumour MARKer and Prognostic Studies (REMARK) criteria were used as a template against which data were assessed. Meta-analyses were performed for studies that provided a hazard ratio and 95% confidence intervals for clinical outcomes including disease-free survival or breast cancer-specific survival from univariate analysis.
Results:
Eighteen studies used differing methodologies and reported on differing outcomes. Meta-analyses were only possible on results from a subset of reported studies. Meta-analyses suggested improved outcome with high BAG-1 mRNA and high BAG-1 nuclear expression by immunohistochemisty.
Conclusions:
Increased levels of BAG-1 are associated with better breast cancer outcomes.</description><identifier>ISSN: 0007-0920</identifier><identifier>EISSN: 1532-1827</identifier><identifier>DOI: 10.1038/bjc.2017.130</identifier><identifier>PMID: 28510570</identifier><identifier>CODEN: BJCAAI</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/80/82/23 ; 631/80/86/2363 ; 692/308/53/2422 ; 692/53/2422 ; 692/699/67/1347 ; Biomarkers ; Biomarkers, Tumor - analysis ; Biomarkers, Tumor - genetics ; Biomedical and Life Sciences ; Biomedicine ; Breast cancer ; Breast Neoplasms - chemistry ; Breast Neoplasms - genetics ; Cancer Research ; Cancer therapies ; Chemotherapy ; Clinical outcomes ; Confidence intervals ; Disease-Free Survival ; DNA-Binding Proteins - analysis ; DNA-Binding Proteins - genetics ; Drug Resistance ; Epidemiology ; Female ; Humans ; Kinases ; Medical prognosis ; Medical research ; Meta-analysis ; Molecular Diagnostics ; Molecular Medicine ; Oncology ; Proteins ; RNA, Messenger - analysis ; Survival Rate ; Systematic review ; Transcription Factors - analysis ; Transcription Factors - genetics</subject><ispartof>British journal of cancer, 2017-06, Vol.116 (12), p.1585-1594</ispartof><rights>The Author(s) 2017</rights><rights>Copyright Nature Publishing Group Jun 6, 2017</rights><rights>Copyright © 2017 The Author(s) 2017 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-4ca1f9e9e79bec4014912283f91b772e898c2d1830590b1e0ced05298f8629853</citedby><cites>FETCH-LOGICAL-c483t-4ca1f9e9e79bec4014912283f91b772e898c2d1830590b1e0ced05298f8629853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518859/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518859/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28510570$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Papadakis, E S</creatorcontrib><creatorcontrib>Reeves, T</creatorcontrib><creatorcontrib>Robson, N H</creatorcontrib><creatorcontrib>Maishman, T</creatorcontrib><creatorcontrib>Packham, G</creatorcontrib><creatorcontrib>Cutress, R I</creatorcontrib><title>BAG-1 as a biomarker in early breast cancer prognosis: a systematic review with meta-analyses</title><title>British journal of cancer</title><addtitle>Br J Cancer</addtitle><addtitle>Br J Cancer</addtitle><description>Background:
The co-chaperone protein Bcl-2-associated athanogene-1 (BAG-1) is overexpressed in breast cancer and has been incorporated in the oncotype DX and PAM50 breast cancer prognostic assays. Bcl-2-associated athanogene-1 exists as multiple protein isoforms that interact with diverse partners, including chaperones Hsc70/Hsp70, Ser/Thr kinase Raf-1 and Bcl-2, to promote cancer cell survival. The BAG-1L isoform specifically binds to and increases the transcriptional activity of oestrogen receptor in cells, and in some, but not all studies, BAG-1 expression is predictive of clinical outcome in breast cancer.
Methods:
A systematic review of published studies reporting BAG-1 (mRNA and/or protein) expression and clinical outcome in early breast cancer. The REporting Recommendations for Tumour MARKer and Prognostic Studies (REMARK) criteria were used as a template against which data were assessed. Meta-analyses were performed for studies that provided a hazard ratio and 95% confidence intervals for clinical outcomes including disease-free survival or breast cancer-specific survival from univariate analysis.
Results:
Eighteen studies used differing methodologies and reported on differing outcomes. Meta-analyses were only possible on results from a subset of reported studies. Meta-analyses suggested improved outcome with high BAG-1 mRNA and high BAG-1 nuclear expression by immunohistochemisty.
Conclusions:
Increased levels of BAG-1 are associated with better breast cancer outcomes.</description><subject>631/80/82/23</subject><subject>631/80/86/2363</subject><subject>692/308/53/2422</subject><subject>692/53/2422</subject><subject>692/699/67/1347</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - chemistry</subject><subject>Breast Neoplasms - genetics</subject><subject>Cancer Research</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Clinical outcomes</subject><subject>Confidence intervals</subject><subject>Disease-Free Survival</subject><subject>DNA-Binding Proteins - analysis</subject><subject>DNA-Binding Proteins - genetics</subject><subject>Drug Resistance</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Kinases</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Meta-analysis</subject><subject>Molecular Diagnostics</subject><subject>Molecular Medicine</subject><subject>Oncology</subject><subject>Proteins</subject><subject>RNA, Messenger - analysis</subject><subject>Survival Rate</subject><subject>Systematic review</subject><subject>Transcription Factors - analysis</subject><subject>Transcription Factors - genetics</subject><issn>0007-0920</issn><issn>1532-1827</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkcFrFDEUh4Modq3ePEvAiwdnfS8zmSQehFq0CgUvepSQyb7ZZp2ZrMlsy_73ZtlaqgheEpL38Xt5-Rh7jrBEqPWbbuOXAlAtsYYHbIGyFhVqoR6yBQCoCoyAE_Yk5005GtDqMTsRWiJIBQv2_f3ZRYXcZe54F-Lo0g9KPEycXBr2vEvk8sy9m3y53qa4nmIO-W2h8z7PNLo5eJ7oOtANvwnzFR9pdpWb3LDPlJ-yR70bMj273U_Zt48fvp5_qi6_XHw-P7usfKPruWq8w96QIWU68g1gY1AIXfcGO6UEaaO9WKGuQRrokMDTCqQwutdtWWV9yt4dc7e7bqSVp2lObrDbFMpAextdsH9WpnBl1_HaSolaS1MCXt0GpPhzR3m2Y8iehsFNFHfZokFs0UjZ_B_VxigjatUW9OVf6CbuUvmbQyC0DTaiFYV6faR8ijkn6u_ejWAPim1RbA-KbVFc8Bf3Z72DfzstQHUEcilNa0r3uv4r8BexPa9Q</recordid><startdate>20170606</startdate><enddate>20170606</enddate><creator>Papadakis, E S</creator><creator>Reeves, T</creator><creator>Robson, N H</creator><creator>Maishman, T</creator><creator>Packham, G</creator><creator>Cutress, R I</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>3V.</scope><scope>7RV</scope><scope>7TO</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170606</creationdate><title>BAG-1 as a biomarker in early breast cancer prognosis: a systematic review with meta-analyses</title><author>Papadakis, E S ; Reeves, T ; Robson, N H ; Maishman, T ; Packham, G ; Cutress, R I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-4ca1f9e9e79bec4014912283f91b772e898c2d1830590b1e0ced05298f8629853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>631/80/82/23</topic><topic>631/80/86/2363</topic><topic>692/308/53/2422</topic><topic>692/53/2422</topic><topic>692/699/67/1347</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - analysis</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - chemistry</topic><topic>Breast Neoplasms - genetics</topic><topic>Cancer Research</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>Clinical outcomes</topic><topic>Confidence intervals</topic><topic>Disease-Free Survival</topic><topic>DNA-Binding Proteins - analysis</topic><topic>DNA-Binding Proteins - genetics</topic><topic>Drug Resistance</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Humans</topic><topic>Kinases</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Meta-analysis</topic><topic>Molecular Diagnostics</topic><topic>Molecular Medicine</topic><topic>Oncology</topic><topic>Proteins</topic><topic>RNA, Messenger - analysis</topic><topic>Survival Rate</topic><topic>Systematic review</topic><topic>Transcription Factors - analysis</topic><topic>Transcription Factors - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Papadakis, E S</creatorcontrib><creatorcontrib>Reeves, T</creatorcontrib><creatorcontrib>Robson, N H</creatorcontrib><creatorcontrib>Maishman, T</creatorcontrib><creatorcontrib>Packham, G</creatorcontrib><creatorcontrib>Cutress, R I</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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>Nursing & Allied Health Database</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</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>PubMed Central (Full Participant titles)</collection><jtitle>British journal of cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Papadakis, E S</au><au>Reeves, T</au><au>Robson, N H</au><au>Maishman, T</au><au>Packham, G</au><au>Cutress, R I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>BAG-1 as a biomarker in early breast cancer prognosis: a systematic review with meta-analyses</atitle><jtitle>British journal of cancer</jtitle><stitle>Br J Cancer</stitle><addtitle>Br J Cancer</addtitle><date>2017-06-06</date><risdate>2017</risdate><volume>116</volume><issue>12</issue><spage>1585</spage><epage>1594</epage><pages>1585-1594</pages><issn>0007-0920</issn><eissn>1532-1827</eissn><coden>BJCAAI</coden><abstract>Background:
The co-chaperone protein Bcl-2-associated athanogene-1 (BAG-1) is overexpressed in breast cancer and has been incorporated in the oncotype DX and PAM50 breast cancer prognostic assays. Bcl-2-associated athanogene-1 exists as multiple protein isoforms that interact with diverse partners, including chaperones Hsc70/Hsp70, Ser/Thr kinase Raf-1 and Bcl-2, to promote cancer cell survival. The BAG-1L isoform specifically binds to and increases the transcriptional activity of oestrogen receptor in cells, and in some, but not all studies, BAG-1 expression is predictive of clinical outcome in breast cancer.
Methods:
A systematic review of published studies reporting BAG-1 (mRNA and/or protein) expression and clinical outcome in early breast cancer. The REporting Recommendations for Tumour MARKer and Prognostic Studies (REMARK) criteria were used as a template against which data were assessed. Meta-analyses were performed for studies that provided a hazard ratio and 95% confidence intervals for clinical outcomes including disease-free survival or breast cancer-specific survival from univariate analysis.
Results:
Eighteen studies used differing methodologies and reported on differing outcomes. Meta-analyses were only possible on results from a subset of reported studies. Meta-analyses suggested improved outcome with high BAG-1 mRNA and high BAG-1 nuclear expression by immunohistochemisty.
Conclusions:
Increased levels of BAG-1 are associated with better breast cancer outcomes.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>28510570</pmid><doi>10.1038/bjc.2017.130</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 631/80/82/23 631/80/86/2363 692/308/53/2422 692/53/2422 692/699/67/1347 Biomarkers Biomarkers, Tumor - analysis Biomarkers, Tumor - genetics Biomedical and Life Sciences Biomedicine Breast cancer Breast Neoplasms - chemistry Breast Neoplasms - genetics Cancer Research Cancer therapies Chemotherapy Clinical outcomes Confidence intervals Disease-Free Survival DNA-Binding Proteins - analysis DNA-Binding Proteins - genetics Drug Resistance Epidemiology Female Humans Kinases Medical prognosis Medical research Meta-analysis Molecular Diagnostics Molecular Medicine Oncology Proteins RNA, Messenger - analysis Survival Rate Systematic review Transcription Factors - analysis Transcription Factors - genetics |
| title | BAG-1 as a biomarker in early breast cancer prognosis: a systematic review with meta-analyses |
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