Penetrance of male breast cancer susceptibility genes: a systematic review

Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes t...
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Autor*in:	Chamseddine, Reem S. [verfasserIn] Wang, Cathy Yin, Kanhua Wang, Jin Singh, Preeti Zhou, Jingan Robson, Mark E. Braun, Danielle Hughes, Kevin S.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Male breast cancer Cancer susceptibility gene Penetrance Genetics

Anmerkung:	© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021

Übergeordnetes Werk:	Enthalten in: Breast cancer research and treatment - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981, 191(2021), 1 vom: 13. Okt., Seite 31-38
Übergeordnetes Werk:	volume:191 ; year:2021 ; number:1 ; day:13 ; month:10 ; pages:31-38

Links:	Volltext

DOI / URN:	10.1007/s10549-021-06413-2

Katalog-ID:	SPR045958378

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245	1	0	\|a Penetrance of male breast cancer susceptibility genes: a systematic review
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520			\|a Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk.
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700	1		\|a Wang, Cathy \|4 aut
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700	1		\|a Braun, Danielle \|4 aut
700	1		\|a Hughes, Kevin S. \|4 aut
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912			\|a GBV_ILN_187
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allfields	10.1007/s10549-021-06413-2 doi (DE-627)SPR045958378 (SPR)s10549-021-06413-2-e DE-627 ger DE-627 rakwb eng Chamseddine, Reem S. verfasserin aut Penetrance of male breast cancer susceptibility genes: a systematic review 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk. Male breast cancer (dpeaa)DE-He213 Cancer susceptibility gene (dpeaa)DE-He213 Penetrance (dpeaa)DE-He213 Genetics (dpeaa)DE-He213 Wang, Cathy aut Yin, Kanhua (orcid)0000-0002-4769-3129 aut Wang, Jin aut Singh, Preeti aut Zhou, Jingan aut Robson, Mark E. aut Braun, Danielle aut Hughes, Kevin S. aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 191(2021), 1 vom: 13. Okt., Seite 31-38 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:191 year:2021 number:1 day:13 month:10 pages:31-38 https://dx.doi.org/10.1007/s10549-021-06413-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 191 2021 1 13 10 31-38
spelling	10.1007/s10549-021-06413-2 doi (DE-627)SPR045958378 (SPR)s10549-021-06413-2-e DE-627 ger DE-627 rakwb eng Chamseddine, Reem S. verfasserin aut Penetrance of male breast cancer susceptibility genes: a systematic review 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk. Male breast cancer (dpeaa)DE-He213 Cancer susceptibility gene (dpeaa)DE-He213 Penetrance (dpeaa)DE-He213 Genetics (dpeaa)DE-He213 Wang, Cathy aut Yin, Kanhua (orcid)0000-0002-4769-3129 aut Wang, Jin aut Singh, Preeti aut Zhou, Jingan aut Robson, Mark E. aut Braun, Danielle aut Hughes, Kevin S. aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 191(2021), 1 vom: 13. Okt., Seite 31-38 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:191 year:2021 number:1 day:13 month:10 pages:31-38 https://dx.doi.org/10.1007/s10549-021-06413-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 191 2021 1 13 10 31-38
allfields_unstemmed	10.1007/s10549-021-06413-2 doi (DE-627)SPR045958378 (SPR)s10549-021-06413-2-e DE-627 ger DE-627 rakwb eng Chamseddine, Reem S. verfasserin aut Penetrance of male breast cancer susceptibility genes: a systematic review 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk. Male breast cancer (dpeaa)DE-He213 Cancer susceptibility gene (dpeaa)DE-He213 Penetrance (dpeaa)DE-He213 Genetics (dpeaa)DE-He213 Wang, Cathy aut Yin, Kanhua (orcid)0000-0002-4769-3129 aut Wang, Jin aut Singh, Preeti aut Zhou, Jingan aut Robson, Mark E. aut Braun, Danielle aut Hughes, Kevin S. aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 191(2021), 1 vom: 13. Okt., Seite 31-38 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:191 year:2021 number:1 day:13 month:10 pages:31-38 https://dx.doi.org/10.1007/s10549-021-06413-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 191 2021 1 13 10 31-38
allfieldsGer	10.1007/s10549-021-06413-2 doi (DE-627)SPR045958378 (SPR)s10549-021-06413-2-e DE-627 ger DE-627 rakwb eng Chamseddine, Reem S. verfasserin aut Penetrance of male breast cancer susceptibility genes: a systematic review 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk. Male breast cancer (dpeaa)DE-He213 Cancer susceptibility gene (dpeaa)DE-He213 Penetrance (dpeaa)DE-He213 Genetics (dpeaa)DE-He213 Wang, Cathy aut Yin, Kanhua (orcid)0000-0002-4769-3129 aut Wang, Jin aut Singh, Preeti aut Zhou, Jingan aut Robson, Mark E. aut Braun, Danielle aut Hughes, Kevin S. aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 191(2021), 1 vom: 13. Okt., Seite 31-38 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:191 year:2021 number:1 day:13 month:10 pages:31-38 https://dx.doi.org/10.1007/s10549-021-06413-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 191 2021 1 13 10 31-38
allfieldsSound	10.1007/s10549-021-06413-2 doi (DE-627)SPR045958378 (SPR)s10549-021-06413-2-e DE-627 ger DE-627 rakwb eng Chamseddine, Reem S. verfasserin aut Penetrance of male breast cancer susceptibility genes: a systematic review 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk. Male breast cancer (dpeaa)DE-He213 Cancer susceptibility gene (dpeaa)DE-He213 Penetrance (dpeaa)DE-He213 Genetics (dpeaa)DE-He213 Wang, Cathy aut Yin, Kanhua (orcid)0000-0002-4769-3129 aut Wang, Jin aut Singh, Preeti aut Zhou, Jingan aut Robson, Mark E. aut Braun, Danielle aut Hughes, Kevin S. aut Enthalten in Breast cancer research and treatment Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981 191(2021), 1 vom: 13. Okt., Seite 31-38 (DE-627)320433722 (DE-600)2004077-5 1573-7217 nnns volume:191 year:2021 number:1 day:13 month:10 pages:31-38 https://dx.doi.org/10.1007/s10549-021-06413-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 191 2021 1 13 10 31-38
language	English
source	Enthalten in Breast cancer research and treatment 191(2021), 1 vom: 13. Okt., Seite 31-38 volume:191 year:2021 number:1 day:13 month:10 pages:31-38
sourceStr	Enthalten in Breast cancer research and treatment 191(2021), 1 vom: 13. Okt., Seite 31-38 volume:191 year:2021 number:1 day:13 month:10 pages:31-38
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Male breast cancer Cancer susceptibility gene Penetrance Genetics
isfreeaccess_bool	false
container_title	Breast cancer research and treatment
authorswithroles_txt_mv	Chamseddine, Reem S. @@aut@@ Wang, Cathy @@aut@@ Yin, Kanhua @@aut@@ Wang, Jin @@aut@@ Singh, Preeti @@aut@@ Zhou, Jingan @@aut@@ Robson, Mark E. @@aut@@ Braun, Danielle @@aut@@ Hughes, Kevin S. @@aut@@
publishDateDaySort_date	2021-10-13T00:00:00Z
hierarchy_top_id	320433722
id	SPR045958378
language_de	englisch
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author	Chamseddine, Reem S.
spellingShingle	Chamseddine, Reem S. misc Male breast cancer misc Cancer susceptibility gene misc Penetrance misc Genetics Penetrance of male breast cancer susceptibility genes: a systematic review
authorStr	Chamseddine, Reem S.
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topic_title	Penetrance of male breast cancer susceptibility genes: a systematic review Male breast cancer (dpeaa)DE-He213 Cancer susceptibility gene (dpeaa)DE-He213 Penetrance (dpeaa)DE-He213 Genetics (dpeaa)DE-He213
topic	misc Male breast cancer misc Cancer susceptibility gene misc Penetrance misc Genetics
topic_unstemmed	misc Male breast cancer misc Cancer susceptibility gene misc Penetrance misc Genetics
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title	Penetrance of male breast cancer susceptibility genes: a systematic review
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title_full	Penetrance of male breast cancer susceptibility genes: a systematic review
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author_browse	Chamseddine, Reem S. Wang, Cathy Yin, Kanhua Wang, Jin Singh, Preeti Zhou, Jingan Robson, Mark E. Braun, Danielle Hughes, Kevin S.
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author-letter	Chamseddine, Reem S.
doi_str_mv	10.1007/s10549-021-06413-2
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title_sort	penetrance of male breast cancer susceptibility genes: a systematic review
title_auth	Penetrance of male breast cancer susceptibility genes: a systematic review
abstract	Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
abstractGer	Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
abstract_unstemmed	Purpose Several male breast cancer (MBC) susceptibility genes have been identified, but the MBC risk for individuals with a pathogenic variant in each of these genes (i.e., penetrance) remains unclear. We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. Conclusion This work supports the conclusion that pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 increase the risk of MBC, whereas pathogenic variants in BRCA1 may not be associated with increased MBC risk. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
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title_short	Penetrance of male breast cancer susceptibility genes: a systematic review
url	https://dx.doi.org/10.1007/s10549-021-06413-2
remote_bool	true
author2	Wang, Cathy Yin, Kanhua Wang, Jin Singh, Preeti Zhou, Jingan Robson, Mark E. Braun, Danielle Hughes, Kevin S.
author2Str	Wang, Cathy Yin, Kanhua Wang, Jin Singh, Preeti Zhou, Jingan Robson, Mark E. Braun, Danielle Hughes, Kevin S.
ppnlink	320433722
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isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s10549-021-06413-2
up_date	2024-07-03T19:24:47.891Z
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We conducted a systematic review of studies reporting the penetrance of MBC susceptibility genes to better summarize current estimates of penetrance. Methods A search query was developed to identify MBC-related papers indexed in PubMed/MEDLINE. A validated natural language processing method was applied to identify papers reporting penetrance estimates. These penetrance studies’ bibliographies were reviewed to ensure comprehensiveness. We accessed the potential ascertainment bias for each enrolled study. Results Fifteen penetrance studies were identified from 12,182 abstracts, covering five purported MBC susceptibility genes: ATM, BRCA1, BRCA2, CHEK2, and PALB2. Cohort (n = 6, 40%) and case–control (n = 5, 33%) studies were the two most common study designs, followed by family-based (n = 3, 20%), and a kin-cohort study (n = 1, 7%). Seven of the 15 studies (47%) adjusted for ascertainment adequately and therefore the MBC risks reported by these seven studies can be considered applicable to the general population. Based on these seven studies, we found pathogenic variants in ATM, BRCA2, CHEK2 c.1100delC, and PALB2 show an increased risk for MBC. The association between BRCA1 and MBC was not statistically significant. 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