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BRCA1 und BRCA2 − genetische und nichtgenetische Einflussfaktoren

BRCA1 and BRCA2 – genetic and non-genetic influencing factors for risk of disease

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Der Gynäkologe Aims and scope

Zusammenfassung

Hintergrund

Nicht für alle Trägerinnen einer Mutation in den Genen BRCA1 und BRCA2 liegt das lebenslange Erkrankungsrisiko für Brust- oder Eierstockkrebs gleich hoch. Bislang werden bei der Indikationsstellung zur Teilnahme an intensivierten Früherkennungs- und Nachsorgeprogrammen oder zur Durchführung einer prophylaktischen Operation keine risikomodifizierenden Faktoren berücksichtigt.

Fragestellung

Welche genetischen und nichtgenetischen Einflussfaktoren beeinflussen das Mammakarzinomrisiko von Anlageträgerinnen, und welche davon werden in den gebräuchlichen Risikoberechnungsprogrammen bereits berücksichtigt?

Ergebnisse und Diskussion

In genomweiten Assoziationstudien wurden Niedrigrisikovarianten gefunden und validiert. Einige davon modulieren das Risiko beim sporadischen und beim BRCA-assoziierten Mammakarzinom, es gibt für jeden Typ aber auch spezifische Varianten. Es gibt erste Studien, die vermuten lassen, dass Lebensstilfaktoren und reproduktive Faktoren das Risiko für BRCA-assoziierte Tumoren modulieren. Den bisherigen Rechenmodellen zur Schätzung des individuellen Risikos liegen eine variable Zahl hoch penetranter Gene und die Erhebung des Stammbaumes über 3 Generationen zugrunde. Zum Teil werden auch klinische Daten, wie Voroperationen, Tumorhistologie, Reproduktionsfaktoren oder „body mass index“ berücksichtigt. Die Erforschung der modifizierenden genetischen und nichtgenetischen Faktoren führt zur Erstellung eines umfassenden Risikoberechnungsprogramms. Dieses hat zum einen die Vermeidung von Übertherapie im Hinblick auf präventive Maßnahmen zum Ziel. Zum anderen bereitet die Kenntnis der individuellen Trigger einer potenziellen Brust- oder Eierstockkrebserkrankung den Weg für eine gezieltere Prävention von der medikamentösen Therapie bis hin zur Lebensstilintervention.

Abstract

Background

The lifelong risk for breast cancer and ovarian cancer differs among carriers of mutations in the BRCA1 and BRCA2 genes. Cancer risk is modulated by a multitude of genetic and non-genetic factors. For the decision on intensified surveillance or prophylactic mastectomy no risk modifiers are so far taken into account.

Aims

This article examines whether genetic and non-genetic factors modify the risk of breast cancer for BRCA1 and BRCA2 gene mutation carriers and which are integrated into currently used risk calculation programs.

Results and discussion

A number of genetic low risk variants have been identified and validated in genome-wide association studies. Several of these modify the risk of sporadic and BRCA-associated breast cancer and others are specific for each type. The results of initial studies suggest that lifestyle factors and reproductive history can also modify the risk of breast cancer for BRCA-associated tumors. Current risk calculation programs estimate the individual cancer risk based on assumptions on major genes with high penetrance and on the family pedigree over three generations. Some of these also take clinical data, such as previous operations, histopathological features of tumors, reproductive factors and body mass index into account but no explicit low risk variants. Ongoing research on modifying genetic and non-genetic risk factors aims to establish a more differentiated and comprehensive risk prediction model in order to prevent overtreatment with respect to preventive strategies. Additionally, knowledge on individual trigger mechanisms of potential breast or ovarian cancer might lead to targeted prevention by medicinal therapy and lifestyle interventions.

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Literatur

  1. Amir E, Evans DG, Shenton A et al (2003) Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme. J Med Genet 40:807–814

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  2. Andrieu N, Goldgar DE, Easton DF et al (2006) Pregnancies, breast-feeding, and breast cancer risk in the International BRCA1/2 Carrier Cohort Study (IBCCS). J Natl Cancer Inst 98:535–544

    Article  PubMed  PubMed Central  Google Scholar 

  3. Antoniou AC, Beesley J, Mcguffog L et al (2010) Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: implications for risk prediction. Cancer Res 70:9742–9754

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  4. Lee AJ, Cunningham AP, Kuchenbaecker KB et al (2014) BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface. Br J Cancer 110:535–545

    Article  PubMed  CAS  Google Scholar 

  5. Atchley DP, Albarracin CT, Lopez A et al (2008) Clinical and pathologic characteristics of patients with BRCA-positive and BRCA-negative breast cancer. J Clin Oncol 26:4282–4288

    Article  PubMed  Google Scholar 

  6. Barnes DR, Antoniou AC (2012) Unravelling modifiers of breast and ovarian cancer risk for BRCA1 and BRCA2 mutation carriers: update on genetic modifiers. J Intern Med 271(4):331–343

    Article  PubMed  CAS  Google Scholar 

  7. Berg WA, Zhang Z, Lehrer D et al (2012) Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. JAMA 307:1394–1404

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  8. Biswas S, Tankhiwale N, Blackford A et al (2012) Assessing the added value of breast tumor markers in genetic risk prediction model BRCAPRO. Breast Cancer Res Treat 133:347–355

    Article  PubMed  CAS  Google Scholar 

  9. Brohet RM, Goldgar DE, Easton DF et al (2007) Oral contraceptives and breast cancer risk in the international BRCA1/2 carrier cohort study: a report from EMBRACE, GENEPSO, GEO-HEBON, and the IBCCS Collaborating Group. J Clin Oncol 25:3831–3836

    Article  PubMed  Google Scholar 

  10. Chang-Claude J, Andrieu N, Rookus M et al (2007) Age at menarche and menopause and breast cancer risk in the International BRCA1/2 Carrier Cohort Study. Cancer Epidemiol Biomarkers Prev 16:740–746

    Article  PubMed  Google Scholar 

  11. Chen S, Wang W, Broman KW et al (2004) BayesMendel: an R environment for Mendelian risk prediction. Stat Appl Genet Mol Biol 3:Article21

    PubMed  PubMed Central  Google Scholar 

  12. Claus EB, Risch N, Thompson WD (1991) Genetic analysis of breast cancer in the cancer and steroid hormone study. Am J Hum Genet 48:232–242

    PubMed  CAS  PubMed Central  Google Scholar 

  13. Couch FJ, Gaudet MM, Antoniou AC et al (2012) Common variants at the 19p13.1 and ZNF365 loci are associated with ER subtypes of breast cancer and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers. Cancer Epidemiol Biomarkers Prev 21(4):645–657

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  14. Fischer C, Kuchenbacker K, Engel C et al (2013) Evaluating the performance of the breast cancer genetic risk models BOADICEA, IBIS, BRCAPRO and Claus for predicting BRCA1/2 mutation carrier probabilities: a study based on 7352 families from the German Hereditary Breast and Ovarian Cancer Consortium. J Med Genet 50(6):360–367

    Article  PubMed  CAS  Google Scholar 

  15. Friedenreich CM (2011) Physical activity and breast cancer: review of the epidemiologic evidence and biologic mechanisms. Recent Results Cancer Res 188:125–139

    Article  PubMed  CAS  Google Scholar 

  16. Gail MH (2009) Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk model. J Natl Cancer Inst 101:959–963

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  17. Gaudet MM, Kirchhoff T, Green T et al (2010) Common genetic variants and modification of penetrance of BRCA2-associated breast cancer. PLoS Genet 6:e1001183

    Article  PubMed  PubMed Central  Google Scholar 

  18. Gaudet MM, Kuchenbaecker KB, Vijai J et al (2013) Identification of a BRCA2-specific modifier locus at 6p24 related to breast cancer risk. PLoS Genet 9:e1003173

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  19. Irwin ML, Mctiernan A, Manson JE et al (2011) Physical activity and survival in postmenopausal women with breast cancer: results from the women’s health initiative. Cancer Prev Res (Phil) 4:522–529

    Article  Google Scholar 

  20. Kast K, Schmutzler RK, Rhiem K et al (2014) Validation of the Manchester scoring system for predicting BRCA1/2 mutations in 9,390 families suspected of having hereditary breast and ovarian cancer. Int J Cancer

  21. Key TJ, Verkasalo PK, Banks E (2001) Epidemiology of breast cancer. Lancet Oncol 2:133–140

    Article  PubMed  CAS  Google Scholar 

  22. King MC, Marks JH, Mandell JB (2003) Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2. Science 302:643–646

    Article  PubMed  CAS  Google Scholar 

  23. Laitman Y, Simeonov M, Keinan-Boker L et al (2013) Breast cancer risk prediction accuracy in Jewish Israeli high-risk women using the BOADICEA and IBIS risk models. Genet Res 95:174–177

    Article  Google Scholar 

  24. Lee AJ, Cunningham AP, Kuchenbaecker KB et al (2014) BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface. Br J Cancer 110:535–545

    Article  PubMed  CAS  Google Scholar 

  25. Leitzmann MF, Moore SC, Peters TM et al (2008) Prospective study of physical activity and risk of postmenopausal breast cancer. Breast Cancer Res 10:R92

    Article  PubMed  PubMed Central  Google Scholar 

  26. Macinnis RJ, Antoniou AC, Eeles RA et al (2011) A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact. Genet Epidemiol 35:549–556

    PubMed  PubMed Central  Google Scholar 

  27. Manders P, Pijpe A, Hooning MJ et al (2011) Body weight and risk of breast cancer in BRCA1/2 mutation carriers. Breast Cancer Res Treat 126:193–202

    Article  PubMed  CAS  Google Scholar 

  28. Matsuno RK, Costantino JP, Ziegler RG et al (2011) Projecting individualized absolute invasive breast cancer risk in Asian and Pacific Islander American women. J Natl Cancer Inst 103:951–961

    Article  PubMed  PubMed Central  Google Scholar 

  29. Mavaddat N, Peock S, Frost D et al (2013) Cancer risks for BRCA1 and BRCA2 mutation carriers: results from prospective analysis of EMBRACE. J Natl Cancer Inst 105:812–822

    Article  PubMed  CAS  Google Scholar 

  30. Narod SA, Goldgar D, Cannon-Albright L et al (1995) Risk modifiers in carriers of BRCA1 mutations. Int J Cancer 64:394–398

    Article  PubMed  CAS  Google Scholar 

  31. Phillips KA, Milne RL, Rookus MA et al (2013) Tamoxifen and risk of contralateral breast cancer for BRCA1 and BRCA2 mutation carriers. J Clin Oncol 31:3091–3099

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  32. Quante AS, Whittemore AS, Shriver T et al (2012) Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance. Breast Cancer Res 14:R144

    Article  PubMed  PubMed Central  Google Scholar 

  33. Rhiem K, Engel C, Graeser M et al (2012) The risk of contralateral breast cancer in patients from BRCA1/2 negative high risk families as compared to patients from BRCA1 or BRCA2 positive families: a retrospective cohort study. Breast Cancer Res 14:R156

    Article  PubMed  PubMed Central  Google Scholar 

  34. Russo J, Lynch H, Russo IH (2001) Mammary gland architecture as a determining factor in the susceptibility of the human breast to cancer. Breast J 7:278–291

    Article  PubMed  CAS  Google Scholar 

  35. Tyrer J, Duffy SW, Cuzick J (2004) A breast cancer prediction model incorporating familial and personal risk factors. Stat Med 23:1111–1130

    Article  PubMed  Google Scholar 

  36. Wooster R, Neuhausen SL, Mangion J et al (1994) Localization of a breast cancer susceptibility gene, BRCA2, to chromosome 13q12-13. Science 265:2088–2090

    Article  PubMed  CAS  Google Scholar 

  37. Ferlay J, Soerjomataram I, Ervik M et al (2013) GLOBOCAN 2012 v1.0, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 11. International Agency for Research on Cancer, Lyon. http://globocan.iarc.fr. Zugegriffen: 30. May 2014

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Einhaltung ethischer Richtlinien

Interessenkonflikt. K. Kast und C. Fischer geben an, dass kein Interessenkonflikt besteht. Dieser Beitrag beinhaltet keine Studien an Menschen oder Tieren.

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Correspondence to K. Kast.

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Kast, K., Fischer, C. BRCA1 und BRCA2 − genetische und nichtgenetische Einflussfaktoren. Gynäkologe 47, 759–768 (2014). https://doi.org/10.1007/s00129-014-3350-z

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  • DOI: https://doi.org/10.1007/s00129-014-3350-z

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