Zusammenfassung
Bei über 20 % aller Indexpatientinnen, welche die Kriterien des Deutschen Konsortiums Familiärer Brust- und Eierstockkrebs (DK) für die Keimbahnuntersuchung erfüllen, werden wahrscheinlich pathogene/pathogene Varianten (PV) in bekannten Risikogenen identifiziert. Bei Nachweis einer PV kann gesunden Frauen einer Familie eine prädiktive Untersuchung angeboten werden. Zunehmend finden im Zuge der personalisierten Medizin auch weitere genetische („polygenic risk scores“, PRSs) und nichtgenetische Risikofaktoren Beachtung (Lebensstil, hormonelle und reproduktive Faktoren, mammographische Dichte), die das individuelle Erkrankungsrisiko erheblich modulieren können. Dadurch wird eine personalisierte Risikoprädiktion möglich. Bei Frauen ohne Krebserkrankung kann das Angebot einer risikoadaptierten Prävention (Teilnahme an der intensivierten Brustkrebsfrüherkennung) dem individuellen Risiko angepasst werden. Die individualisierte Prävention erfordert prospektive Kohortenstudien, um einen Nutzen für Ratsuchende zu evaluieren. Die Analysen sollten daher in ein wissengenerierendes Dokumentations- und Evaluationskonzept eingebettet sein. Um der gestiegenen Komplexität zu begegnen, wurden für Betroffene verschiedene Informationsmaterialien in Einfacher bzw. Leichter Sprache entwickelt. Außerdem unterstützen Entscheidungshilfen und ein Entscheidungscoaching Frauen mit pathogenen Varianten in den Genen BRCA1 und BRCA2 bei der Entscheidungsfindung hinsichtlich präventiver Maßnahmen.
Abstract
In more than 25% of all index patients who fulfil the criteria of the German Consortium of Familial Breast and Ovarian Cancer (DK) for germline testing, possible pathogenic or pathogenic germline variants (PV) in known risk genes are identified. If a germline PV is detected healthy women in a family can be offered predictive testing. In the course of personalized medicine other genetic (polygenic risk scores, PRS) and nongenetic risk factors (lifestyle, hormonal and reproductive factors, mammographic density) are increasingly receiving attention, which can significantly modulate the individual risk of disease. In this way a personalized risk prediction is possible. In healthy women the offer of risk-adapted prevention (participation in an intensified breast cancer screening) can be adjusted to the individual risk. The individualized prevention requires prospective cohort studies to evaluate a benefit for women seeking advice. The analyses should therefore be embedded in a knowledge-generating documentation and evaluation concept. Various materials for those affected have been developed in simple or plain language to address the increased complexity. In addition, patient decision aids and decision coaching support carriers of PVs in the BRCA1 and BRCA2 genes in making decisions with respect to preventive measures.
Literatur
Antoniou AC, Cunningham AP, Peto J et al (2008) The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions. Br J Cancer 98:1457–1466
Bick U, Engel C, Krug B et al (2019) High-risk breast cancer surveillance with MRI: 10-year experience from the German consortium for hereditary breast and ovarian cancer. Breast Cancer Res Treat 175:217–228
Borde J, Ernst C, Wappenschmidt B et al (2021) Performance of breast cancer polygenic risk scores in 760 female CHEK2 germline mutation carriers. J Natl Cancer Inst 113:893–899
Breast Cancer Association C, Dorling L, Carvalho S et al (2021) Breast cancer risk genes—association analysis in more than 113,000 women. N Engl J Med 384:428–439
Carbine NE, Lostumbo L, Wallace J et al (2018) Risk-reducing mastectomy for the prevention of primary breast cancer. Cochrane Database Syst Rev 4:CD2748
Dareng EO, Tyrer JP, Barnes DR et al (2022) Polygenic risk modeling for prediction of epithelial ovarian cancer risk. Eur J Hum Genet
Dominguez-Valentin M, Sampson JR, Seppälä TT et al (2020) Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch SyndromeDatabase. Genet Med 22:15–25
Easton DF, Pharoah PD, Antoniou AC et al (2015) Gene-panel sequencing and the prediction of breast-cancer risk. N Engl J Med
Engel C, Loeffler M, Steinke V et al (2012) Risks of less common cancers in proven mutation carriers with lynch syndrome. J Clin Oncol 30:4409–4415
Engel C, Rhiem K, Hahnen E et al (2018) Prevalence of pathogenic BRCA1/2 germline mutations among 802 women with unilateral triple-negative breast cancer without family cancer history. BMC cancer 18:265
Robert Koch-Institut (2021) Krebs in Deutschland für 2017/2018 (13. Ausgabe). In: Robert Koch-Institut (Hrsg) die Gesellschaft der epidemiologischen Krebsregister in Deutschland e. V. Berlin, Germany
Gallagher S, Hughes E, Wagner S et al (2020) Association of a polygenic risk score with breast cancer among women carriers of high- and moderate-risk breast cancer genes. JAMA Netw Open 3:e208501
Hauke J, Horvath J, Gross E et al (2018) Gene panel testing of 5589 BRCA1/2-negative index patients with breast cancer in a routine diagnostic setting: results of the German Consortium for Hereditary Breast and Ovarian Cancer. Cancer Med 7:1349–1358
Heemskerk-Gerritsen BAM, Jager Koppert A, Koppert LB et al (2019) Survival after bilateral risk-reducing mastectomy in healthy BRCA1 and BRCA2 mutation carriers. Breast Cancer Res Treat 177:723–733
Isselhard A, Töpper M, Berger-Höger B et al (2020) Implementation and evaluation of a nurse-led decision-coaching program for healthy breast cancer susceptibility gene (BRCA1/2) mutation carriers: a study protocol for the randomized controlled EDCP-BRCA study. Trials 21(1):501. https://doi.org/10.1186/s13063-020-04431-x
Kast K, Rhiem K, Wappenschmidt B et al (2016) Prevalence of BRCA1/2 germline mutations in 21 401 families with breast and ovarian cancer. J Med Genet 53:465–471
Kuchenbaecker KB, Hopper JL, Barnes DR et al (2017) Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers. JAMA 317:2402–2416
Kuchenbaecker KB, Mcguffog L, Barrowdale D et al (2017) Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers. J Natl Cancer Inst 109:
Lee A, Mavaddat N, Cunningham AP et al (2022) Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidences. medRxiv:2022.2001.2027.22269825
Lee A, Mavaddat N, Wilcox AN et al (2019) BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors. Genet Med 21:1708–1718
Lee A, Yang X, Tyrer J et al (2021) Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors. J Med Genet
Li X, You R, Wang X et al (2016) Effectiveness of prophylactic surgeries in BRCA1 or BRCA2 mutation carriers: a meta-analysis and systematic review. Clin Cancer Res 22:3971–3981
Lilyquist J, Laduca H, Polley E et al (2017) Frequency of mutations in a large series of clinically ascertained ovarian cancer cases tested on multi-gene panels compared to reference controls. Gynecol Oncol 147:375–380
Lilyquist J, Ruddy KJ, Vachon CM et al (2018) Common genetic variation and breast cancer risk—past, present, and future. Cancer Epidemiol Biomarkers Prev 27:380–394
Mavaddat N, Antoniou AC, Mooij TM et al (2020) Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers. Breast Cancer Res 22:8
Mavaddat N, Ficorella L, Carver T et al (2023) Incorporating Alternative Polygenic Risk Scores into the BOADICEA Breast Cancer Risk Prediction Model. Cancer Epidemiol Biomarkers Prev 32:422–427
Mavaddat N, Pharoah PD, Michailidou K et al (2015) Prediction of breast cancer risk based on profiling with common genetic variants. J Natl Cancer Inst 107:
Meindl A, Hellebrand H, Wiek C et al (2010) Germline mutations in breast and ovarian cancer pedigrees establish RAD51C as a human cancer susceptibility gene. Nat Genet 42:410–414
Michailidou K, Lindström S, Dennis J et al (2017) Association analysis identifies 65 new breast cancer risk loci. Nature 551:92
Quante AS, Engel C, Kiechle M et al (2020) Umstrukturierung der Risikoberechnung für die intensivierte Früherkennung im Deutschen Konsortium für Brust- und Eierstockkrebs. Gynäkologe 53:259–264
Quante AS, Strahwald B, Fischer C et al (2018) Individualisiertes Brustkrebsrisiko – wie berechnen, wie bewerten und wie besprechen? Gynäkologe 51:397–402
Ramus SJ, Song H, Dicks E et al (2015) Germline mutations in the BRIP1, BARD1, PALB2, and NBN genes in women with ovarian cancer. JNCI J Natl Cancer Inst 107:
Rhiem K, Zachariae S, Waha A et al (2023) Prevalence of Pathogenic Germline Variants in Women with Non-Familial Unilateral Triple-Negative Breast Cancer. Breast Care (Basel) 18(2):106–112. https://doi.org/10.1159/000528972
Rhiem K, Bucker-Nott HJ, Hellmich M et al (2019) Benchmarking of a checklist for the identification of familial risk for breast and ovarian cancers in a prospective cohort. Breast J 25:455–460
Rolfes M, Borde J, Möllenhoff K et al (2022) Prevalence of cancer predisposition Germline variants in Male breast cancer patients: results of the German consortium for hereditary breast and ovarian cancer. Cancers 14:
Schmidt MK, Hogervorst F, Van Hien R et al (2016) Age- and tumor subtype-specific breast cancer risk estimates for CHEK2*1100delC carriers. J Clin Oncol 34:2750–2760
Weber-Lassalle N, Borde J, Weber-Lassalle K et al (2019) Germline loss-of-function variants in the BARD1 gene are associated with early-onset familial breast cancer but not ovarian cancer. Breast Cancer Res 21:55
Weber-Lassalle NHJ, Ramser J, Richters L, Groß E, Blümcke B, Gehrig A, Kahlert AK, Müller CR, Hackmann K, Honisch E, Weber-Lassalle K, Niederacher D, Borde J, Thiele H, Ernst C, Altmüller J, Neidhardt G, Nürnberg P, Klaschik K, Schroeder C, Platzer K, Volk E, Wang-Gohrke S, Just W, Auber B, Kubisch C, Schmidt G, Horvath J, Wappenschmidt B, Engel C, Arnold N, Dworniczak B, Rhiem K, Meindl A, Schmutzler RK, Hahnen E (2018) BRIP1 loss-of-function mutations confer high risk for familial ovarian cancer, but not familial breast cancer. Breast Cancer Res
Yang X, Leslie G, Doroszuk A et al (2020) Cancer risks associated with Germline PALB2 pathogenic variants: an international study of 524 families. J Clin Oncol 38:674–685
Yang X, Song H, Leslie G et al (2020) Ovarian and breast cancer risks associated with pathogenic variants in RAD51C and RAD51D. JNCI J Natl Cancer Inst
Mavaddat N, Michailidou K, Dennis J et al (2019) Polygenic risk scores for prediction of breast cancer and breast cancer subtypes. Am J Hum Genet 104:21–34
Kautz-Freimuth S, Redaèlli M, Shukri A et al (2023) Effectiveness of evidence-based decision aids for women with pathogenic BRCA1 or BRCA2 variants in the german health care context: results from a randomized controlled trial. BMC Med Inform Decis Mak 23(1):223. https://doi.org/10.1186/s12911-023-02327-9
Bosse K, Rhiem K, Wappenschmidt B et al (2006) Screening for ovarian cancer by transvaginal ultrasound and serum CA125 measurement in women with a familial predisposition: a prospective cohort study. Gynecol Oncol 103(3):1077–1082. https://doi.org/10.1016/j.ygyno.2006.06.032
Geyer CE Jr, Garber JE, Gelber RD et al (2022) Overall survival in the OlympiA phase III trial of adjuvant olaparib in patients with germline pathogenic variants in BRCA1/2 and high-risk, early breast cancer. Ann Oncol 33(12):1250–1268. https://doi.org/10.1016/j.annonc.2022.09.159
Robson ME, Im SA, Senkus E et al (2023) OlympiAD extended follow-up for overall survival and safety: Olaparib versus chemotherapy treatment of physician’s choice in patients with a germline BRCA mutation and HER2-negative metastatic breast cancer. Eur J Cancer 184:39–47. https://doi.org/10.1016/j.ejca.2023.01.031
Litton JK, Hurvitz SA, Mina LA et al (2020) Talazoparib versus chemotherapy in patients with germline BRCA1/2-mutated HER2-negative advanced breast cancer: final overall survival results from the EMBRACA trial. Ann Oncol 31(11):1526–1535. https://doi.org/10.1016/j.annonc.2020.08.2098
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K. Rhiem, A. Tüchler, R. Schmutzler und E. Hahnen geben an, dass kein Interessenkonflikt besteht.
Für diesen Beitrag wurden von den Autor/-innen keine Studien an Menschen oder Tieren durchgeführt. Für die aufgeführten Studien gelten die jeweils dort angegebenen ethischen Richtlinien.
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Tanja Fehm, Düsseldorf
Nicolai Maass, Kiel
Wolfgang Janni, Ulm
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Rhiem, K., Tüchler, A., Schmutzler, R. et al. Familiärer Brust- und Eierstockkrebs – Prävention und Therapie. Gynäkologie 57, 265–272 (2024). https://doi.org/10.1007/s00129-024-05222-0
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DOI: https://doi.org/10.1007/s00129-024-05222-0
Schlüsselwörter
- Polygene Risikoscores
- Partizipative Entscheidungsfindung
- Gendiagnostik
- Informed decision
- Primary prevention