The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases

No study has evaluated the performance of BRCA1/2 mutations prediction models in male breast cancer (MBC) series. Although rare, MBC deserves attention because male and female breast cancers share many characteristics, including the involvement of genetic predisposition factors such as BRCA1 / BRCA2...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European journal of human genetics : EJHG 2010-07, Vol.18 (7), p.856-858
Hauptverfasser: Zanna, Ines, Rizzolo, Piera, Sera, Francesco, Falchetti, Mario, Aretini, Paolo, Giannini, Giuseppe, Masala, Giovanna, Gulino, Alberto, Palli, Domenico, Ottini, Laura
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 858
container_issue 7
container_start_page 856
container_title European journal of human genetics : EJHG
container_volume 18
creator Zanna, Ines
Rizzolo, Piera
Sera, Francesco
Falchetti, Mario
Aretini, Paolo
Giannini, Giuseppe
Masala, Giovanna
Gulino, Alberto
Palli, Domenico
Ottini, Laura
description No study has evaluated the performance of BRCA1/2 mutations prediction models in male breast cancer (MBC) series. Although rare, MBC deserves attention because male and female breast cancers share many characteristics, including the involvement of genetic predisposition factors such as BRCA1 / BRCA2 mutations. Indeed, the occurrence of MBC is a commonly used criterion to select families for BRCA mutation testing. We evaluated the performance and clinical effectiveness of four different predictive models in a population-based series of 102 Italian MBC patients characterized for BRCA1 / 2 mutations. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for each risk model at the 10% threshold. The area under the ROC (AUC) curves and its corresponding asymptotic 95% CIs were calculated as a measure of the accuracy. In our study, the BRCAPRO version 5.0 had the highest combination of sensitivity, specificity, NPV and PPV for the combined probability and for the discrimination of BRCA2 mutations. In individuals with negative breast–ovarian cancer family history, BRCAPRO 5.0 reached a high discriminatory capacity (AUC=0.92) in predicting BRCA2 mutations and showed values of sensitivity, specificity, NPV and PPV of 0.5, 0.98, 0.97 and 0.67, respectively, for the combined probability. BRCAPRO version 5.0 can be particularly useful in dealing with non-familial MBC, a circumstance that often represents a challenging situation in genetic counseling.
doi_str_mv 10.1038/ejhg.2010.29
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2987355</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2060152881</sourcerecordid><originalsourceid>FETCH-LOGICAL-c535t-f0597d4f295b3d56ba3811744ed02b3db09b9c325eba7aea105ca82e6884abdb3</originalsourceid><addsrcrecordid>eNqFkV1r1EAUhoMotlbvvJZBEG_MOp9J5qZQF7VCoVLq9TCZnGSzJDPrTCL47z1ht1srSK_O18OZ98ybZa8ZXTEqqo-w3XQrTrHk-kl2ymRZ5EqK6inmlFW5rJg4yV6ktKUUhyV7np1wyoUUWp5mu9sNkE8364vvN9dErSgZQwMD6ROxZE7QzgOZQsCGJx14mHpHXJh9gqH3HbG-IQ6z3tmBjNbbDkbwEwktVgOQOoJNE3HWO4gYEqSX2bPWDgleHeJZ9uPL59v1ZX51_fXb-uIqd0qoKW-p0mUjW65VLRpV1FZUjJVSQkM5dmqqa-0EV1Db0oJlVDlbcSiqStq6qcVZdr7fu5vrERqHsqIdzC72o42_TbC9eTjx_cZ04ZfhuiqFUrjg_WFBDD9nSJMZ--RgGKyHMCdTyoIyhuzjpBBCCVZQJN_-Q27DHD3-g1GU6kIKqRH6sIdcDClFaI-iGTWL5Wax3CyWo1jE3_x96BG-8xiBdwfAJvSpjehGn-45rrlkYjkj33MJR76DeC_uPw-TPe_tNEc4LlyghUHkD_U0zjM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>500964349</pqid></control><display><type>article</type><title>The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Zanna, Ines ; Rizzolo, Piera ; Sera, Francesco ; Falchetti, Mario ; Aretini, Paolo ; Giannini, Giuseppe ; Masala, Giovanna ; Gulino, Alberto ; Palli, Domenico ; Ottini, Laura</creator><creatorcontrib>Zanna, Ines ; Rizzolo, Piera ; Sera, Francesco ; Falchetti, Mario ; Aretini, Paolo ; Giannini, Giuseppe ; Masala, Giovanna ; Gulino, Alberto ; Palli, Domenico ; Ottini, Laura</creatorcontrib><description>No study has evaluated the performance of BRCA1/2 mutations prediction models in male breast cancer (MBC) series. Although rare, MBC deserves attention because male and female breast cancers share many characteristics, including the involvement of genetic predisposition factors such as BRCA1 / BRCA2 mutations. Indeed, the occurrence of MBC is a commonly used criterion to select families for BRCA mutation testing. We evaluated the performance and clinical effectiveness of four different predictive models in a population-based series of 102 Italian MBC patients characterized for BRCA1 / 2 mutations. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for each risk model at the 10% threshold. The area under the ROC (AUC) curves and its corresponding asymptotic 95% CIs were calculated as a measure of the accuracy. In our study, the BRCAPRO version 5.0 had the highest combination of sensitivity, specificity, NPV and PPV for the combined probability and for the discrimination of BRCA2 mutations. In individuals with negative breast–ovarian cancer family history, BRCAPRO 5.0 reached a high discriminatory capacity (AUC=0.92) in predicting BRCA2 mutations and showed values of sensitivity, specificity, NPV and PPV of 0.5, 0.98, 0.97 and 0.67, respectively, for the combined probability. BRCAPRO version 5.0 can be particularly useful in dealing with non-familial MBC, a circumstance that often represents a challenging situation in genetic counseling.</description><identifier>ISSN: 1018-4813</identifier><identifier>EISSN: 1476-5438</identifier><identifier>DOI: 10.1038/ejhg.2010.29</identifier><identifier>PMID: 20234394</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>631/208/2489 ; 631/67/1347 ; 692/700/228/2050/1510 ; Area Under Curve ; Bioinformatics ; Biological and medical sciences ; Biomedical and Life Sciences ; Biomedicine ; BRCA1 protein ; BRCA2 protein ; Breast cancer ; Breast Neoplasms, Male - genetics ; Breast Neoplasms, Male - therapy ; Cytogenetics ; Family medical history ; Female ; Fundamental and applied biological sciences. Psychology ; Gene Expression ; General aspects. Genetic counseling ; Genetic Counseling - methods ; Genetics of eukaryotes. Biological and molecular evolution ; Gynecology. Andrology. Obstetrics ; Health risk assessment ; Human Genetics ; Humans ; Male ; Mammary gland diseases ; Medical genetics ; Medical sciences ; Models, Genetic ; Molecular and cellular biology ; Mutation ; Ovarian cancer ; ROC Curve ; Short Report ; Software ; Tumors</subject><ispartof>European journal of human genetics : EJHG, 2010-07, Vol.18 (7), p.856-858</ispartof><rights>Macmillan Publishers Limited 2010</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Nature Publishing Group Jul 2010</rights><rights>Copyright © 2010 Macmillan Publishers Limited 2010 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c535t-f0597d4f295b3d56ba3811744ed02b3db09b9c325eba7aea105ca82e6884abdb3</citedby><cites>FETCH-LOGICAL-c535t-f0597d4f295b3d56ba3811744ed02b3db09b9c325eba7aea105ca82e6884abdb3</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/PMC2987355/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987355/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,725,778,782,883,27907,27908,41471,42540,51302,53774,53776</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=22924133$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20234394$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zanna, Ines</creatorcontrib><creatorcontrib>Rizzolo, Piera</creatorcontrib><creatorcontrib>Sera, Francesco</creatorcontrib><creatorcontrib>Falchetti, Mario</creatorcontrib><creatorcontrib>Aretini, Paolo</creatorcontrib><creatorcontrib>Giannini, Giuseppe</creatorcontrib><creatorcontrib>Masala, Giovanna</creatorcontrib><creatorcontrib>Gulino, Alberto</creatorcontrib><creatorcontrib>Palli, Domenico</creatorcontrib><creatorcontrib>Ottini, Laura</creatorcontrib><title>The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases</title><title>European journal of human genetics : EJHG</title><addtitle>Eur J Hum Genet</addtitle><addtitle>Eur J Hum Genet</addtitle><description>No study has evaluated the performance of BRCA1/2 mutations prediction models in male breast cancer (MBC) series. Although rare, MBC deserves attention because male and female breast cancers share many characteristics, including the involvement of genetic predisposition factors such as BRCA1 / BRCA2 mutations. Indeed, the occurrence of MBC is a commonly used criterion to select families for BRCA mutation testing. We evaluated the performance and clinical effectiveness of four different predictive models in a population-based series of 102 Italian MBC patients characterized for BRCA1 / 2 mutations. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for each risk model at the 10% threshold. The area under the ROC (AUC) curves and its corresponding asymptotic 95% CIs were calculated as a measure of the accuracy. In our study, the BRCAPRO version 5.0 had the highest combination of sensitivity, specificity, NPV and PPV for the combined probability and for the discrimination of BRCA2 mutations. In individuals with negative breast–ovarian cancer family history, BRCAPRO 5.0 reached a high discriminatory capacity (AUC=0.92) in predicting BRCA2 mutations and showed values of sensitivity, specificity, NPV and PPV of 0.5, 0.98, 0.97 and 0.67, respectively, for the combined probability. BRCAPRO version 5.0 can be particularly useful in dealing with non-familial MBC, a circumstance that often represents a challenging situation in genetic counseling.</description><subject>631/208/2489</subject><subject>631/67/1347</subject><subject>692/700/228/2050/1510</subject><subject>Area Under Curve</subject><subject>Bioinformatics</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>BRCA1 protein</subject><subject>BRCA2 protein</subject><subject>Breast cancer</subject><subject>Breast Neoplasms, Male - genetics</subject><subject>Breast Neoplasms, Male - therapy</subject><subject>Cytogenetics</subject><subject>Family medical history</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gene Expression</subject><subject>General aspects. Genetic counseling</subject><subject>Genetic Counseling - methods</subject><subject>Genetics of eukaryotes. Biological and molecular evolution</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Health risk assessment</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Male</subject><subject>Mammary gland diseases</subject><subject>Medical genetics</subject><subject>Medical sciences</subject><subject>Models, Genetic</subject><subject>Molecular and cellular biology</subject><subject>Mutation</subject><subject>Ovarian cancer</subject><subject>ROC Curve</subject><subject>Short Report</subject><subject>Software</subject><subject>Tumors</subject><issn>1018-4813</issn><issn>1476-5438</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><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>eNqFkV1r1EAUhoMotlbvvJZBEG_MOp9J5qZQF7VCoVLq9TCZnGSzJDPrTCL47z1ht1srSK_O18OZ98ybZa8ZXTEqqo-w3XQrTrHk-kl2ymRZ5EqK6inmlFW5rJg4yV6ktKUUhyV7np1wyoUUWp5mu9sNkE8364vvN9dErSgZQwMD6ROxZE7QzgOZQsCGJx14mHpHXJh9gqH3HbG-IQ6z3tmBjNbbDkbwEwktVgOQOoJNE3HWO4gYEqSX2bPWDgleHeJZ9uPL59v1ZX51_fXb-uIqd0qoKW-p0mUjW65VLRpV1FZUjJVSQkM5dmqqa-0EV1Db0oJlVDlbcSiqStq6qcVZdr7fu5vrERqHsqIdzC72o42_TbC9eTjx_cZ04ZfhuiqFUrjg_WFBDD9nSJMZ--RgGKyHMCdTyoIyhuzjpBBCCVZQJN_-Q27DHD3-g1GU6kIKqRH6sIdcDClFaI-iGTWL5Wax3CyWo1jE3_x96BG-8xiBdwfAJvSpjehGn-45rrlkYjkj33MJR76DeC_uPw-TPe_tNEc4LlyghUHkD_U0zjM</recordid><startdate>20100701</startdate><enddate>20100701</enddate><creator>Zanna, Ines</creator><creator>Rizzolo, Piera</creator><creator>Sera, Francesco</creator><creator>Falchetti, Mario</creator><creator>Aretini, Paolo</creator><creator>Giannini, Giuseppe</creator><creator>Masala, Giovanna</creator><creator>Gulino, Alberto</creator><creator>Palli, Domenico</creator><creator>Ottini, Laura</creator><general>Springer International Publishing</general><general>Nature Publishing Group</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20100701</creationdate><title>The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases</title><author>Zanna, Ines ; Rizzolo, Piera ; Sera, Francesco ; Falchetti, Mario ; Aretini, Paolo ; Giannini, Giuseppe ; Masala, Giovanna ; Gulino, Alberto ; Palli, Domenico ; Ottini, Laura</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c535t-f0597d4f295b3d56ba3811744ed02b3db09b9c325eba7aea105ca82e6884abdb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>631/208/2489</topic><topic>631/67/1347</topic><topic>692/700/228/2050/1510</topic><topic>Area Under Curve</topic><topic>Bioinformatics</topic><topic>Biological and medical sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>BRCA1 protein</topic><topic>BRCA2 protein</topic><topic>Breast cancer</topic><topic>Breast Neoplasms, Male - genetics</topic><topic>Breast Neoplasms, Male - therapy</topic><topic>Cytogenetics</topic><topic>Family medical history</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gene Expression</topic><topic>General aspects. Genetic counseling</topic><topic>Genetic Counseling - methods</topic><topic>Genetics of eukaryotes. Biological and molecular evolution</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Health risk assessment</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Male</topic><topic>Mammary gland diseases</topic><topic>Medical genetics</topic><topic>Medical sciences</topic><topic>Models, Genetic</topic><topic>Molecular and cellular biology</topic><topic>Mutation</topic><topic>Ovarian cancer</topic><topic>ROC Curve</topic><topic>Short Report</topic><topic>Software</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zanna, Ines</creatorcontrib><creatorcontrib>Rizzolo, Piera</creatorcontrib><creatorcontrib>Sera, Francesco</creatorcontrib><creatorcontrib>Falchetti, Mario</creatorcontrib><creatorcontrib>Aretini, Paolo</creatorcontrib><creatorcontrib>Giannini, Giuseppe</creatorcontrib><creatorcontrib>Masala, Giovanna</creatorcontrib><creatorcontrib>Gulino, Alberto</creatorcontrib><creatorcontrib>Palli, Domenico</creatorcontrib><creatorcontrib>Ottini, Laura</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>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research 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>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European journal of human genetics : EJHG</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zanna, Ines</au><au>Rizzolo, Piera</au><au>Sera, Francesco</au><au>Falchetti, Mario</au><au>Aretini, Paolo</au><au>Giannini, Giuseppe</au><au>Masala, Giovanna</au><au>Gulino, Alberto</au><au>Palli, Domenico</au><au>Ottini, Laura</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases</atitle><jtitle>European journal of human genetics : EJHG</jtitle><stitle>Eur J Hum Genet</stitle><addtitle>Eur J Hum Genet</addtitle><date>2010-07-01</date><risdate>2010</risdate><volume>18</volume><issue>7</issue><spage>856</spage><epage>858</epage><pages>856-858</pages><issn>1018-4813</issn><eissn>1476-5438</eissn><abstract>No study has evaluated the performance of BRCA1/2 mutations prediction models in male breast cancer (MBC) series. Although rare, MBC deserves attention because male and female breast cancers share many characteristics, including the involvement of genetic predisposition factors such as BRCA1 / BRCA2 mutations. Indeed, the occurrence of MBC is a commonly used criterion to select families for BRCA mutation testing. We evaluated the performance and clinical effectiveness of four different predictive models in a population-based series of 102 Italian MBC patients characterized for BRCA1 / 2 mutations. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for each risk model at the 10% threshold. The area under the ROC (AUC) curves and its corresponding asymptotic 95% CIs were calculated as a measure of the accuracy. In our study, the BRCAPRO version 5.0 had the highest combination of sensitivity, specificity, NPV and PPV for the combined probability and for the discrimination of BRCA2 mutations. In individuals with negative breast–ovarian cancer family history, BRCAPRO 5.0 reached a high discriminatory capacity (AUC=0.92) in predicting BRCA2 mutations and showed values of sensitivity, specificity, NPV and PPV of 0.5, 0.98, 0.97 and 0.67, respectively, for the combined probability. BRCAPRO version 5.0 can be particularly useful in dealing with non-familial MBC, a circumstance that often represents a challenging situation in genetic counseling.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>20234394</pmid><doi>10.1038/ejhg.2010.29</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1018-4813
ispartof European journal of human genetics : EJHG, 2010-07, Vol.18 (7), p.856-858
issn 1018-4813
1476-5438
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2987355
source MEDLINE; Springer Nature - Complete Springer Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects 631/208/2489
631/67/1347
692/700/228/2050/1510
Area Under Curve
Bioinformatics
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
BRCA1 protein
BRCA2 protein
Breast cancer
Breast Neoplasms, Male - genetics
Breast Neoplasms, Male - therapy
Cytogenetics
Family medical history
Female
Fundamental and applied biological sciences. Psychology
Gene Expression
General aspects. Genetic counseling
Genetic Counseling - methods
Genetics of eukaryotes. Biological and molecular evolution
Gynecology. Andrology. Obstetrics
Health risk assessment
Human Genetics
Humans
Male
Mammary gland diseases
Medical genetics
Medical sciences
Models, Genetic
Molecular and cellular biology
Mutation
Ovarian cancer
ROC Curve
Short Report
Software
Tumors
title The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T06%3A01%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20BRCAPRO%205.0%20model%20is%20a%20useful%20tool%20in%20genetic%20counseling%20and%20clinical%20management%20of%20male%20breast%20cancer%20cases&rft.jtitle=European%20journal%20of%20human%20genetics%20:%20EJHG&rft.au=Zanna,%20Ines&rft.date=2010-07-01&rft.volume=18&rft.issue=7&rft.spage=856&rft.epage=858&rft.pages=856-858&rft.issn=1018-4813&rft.eissn=1476-5438&rft_id=info:doi/10.1038/ejhg.2010.29&rft_dat=%3Cproquest_pubme%3E2060152881%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=500964349&rft_id=info:pmid/20234394&rfr_iscdi=true