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...
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Veröffentlicht in: | European journal of human genetics : EJHG 2010-07, Vol.18 (7), p.856-858 |
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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 |
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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&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 & 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 & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & 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> |
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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 |
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