Abstract
The landscape of cancer genetics in gynecological oncology is rapidly changing. The traditional family history-based approach has limitations and misses >50% mutation carriers. This is now being replaced by population-based approaches. The need for changing the clinical paradigm from family history-based to population-based BRCA1/BRCA2 testing in Ashkenazi Jews is supported by data that demonstrate population-based BRCA1/BRCA2 testing does not cause psychological harm and is cost effective. This article covers various genetic testing strategies for gynecological cancers, including population-based approaches, panel and direct-to-consumer testing as well as the need for innovative approaches to genetic counseling. Advances in genetic testing technology and computational analytics have facilitated an integrated systems medicine approach, providing increasing potential for population-based genetic testing, risk stratification, and cancer prevention. Genomic information along-with biological/computational tools will be used to deliver predictive, preventive, personalized and participatory (P4) and precision medicine in the future.
References
- 1 . Evaluation of models to predict brca germline mutations. Br. J. Cancer 95(7), 914–920 (2006).Crossref, Medline, CAS, Google Scholar
- 2 Population testing for cancer predisposing BRCA1/BRCA2 mutations in the ashkenazi-jewish community: a randomized controlled trial. J. Natl Cancer Inst. 107(1), 379 (2015).Crossref, Medline, Google Scholar
- 3 Population-based screening for breast and ovarian cancer risk due to BRCA1 and BRCA2. Proc. Natl Acad. Sci. USA 111(39), 14205–14210 (2014).Crossref, Medline, CAS, Google Scholar
- 4 Screening for founder mutations in BRCA1 and BRCA2 in unselected jewish women. J. Clin. Oncol. 28(3), 387–391 (2010).Crossref, Medline, CAS, Google Scholar
- 5 . Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2. Science 302(5645), 643–646 (2003).Crossref, Medline, CAS, Google Scholar
- 6 Population-based estimate of the average age-specific cumulative risk of breast cancer for a defined set of protein-truncating mutations in BRCA1 and BRCA2. Australian Breast Cancer Family Study. Cancer Epidemiol. Biomarkers Prev. 8(9), 741–747 (1999).Medline, CAS, Google Scholar
- 7 Prevalence of BRCA1 and BRCA2 gene mutations in patients with early-onset breast cancer. J. Natl Cancer Inst. 91(11), 943–949 (1999).Crossref, Medline, CAS, Google Scholar
- 8 Population attributes affecting the prevalence of BRCA mutation carriers in epithelial ovarian cancer cases in israel. Gynecol. Oncol. 89(3), 494–498 (2003).Crossref, Medline, CAS, Google Scholar
- 9 Genetic epidemiology of brca mutations – family history detects less than 50% of the mutation carriers. Eur. J. Cancer 43(11), 1713–1717 (2007).Crossref, Medline, Google Scholar
- 10 Prevalence of BRCA1 and BRCA2 germline mutations in young breast cancer patients: a population-based study. Int. J. Cancer 106(4), 588–593 (2003).Crossref, Medline, CAS, Google Scholar
- 11 Screening for lynch syndrome (hereditary nonpolyposis colorectal cancer) among endometrial cancer patients. Cancer Res. 66(15), 7810–7817 (2006).Crossref, Medline, CAS, Google Scholar
- 12 Salpingo-oophorectomy and the risk of ovarian, fallopian tube, and peritoneal cancers in women with a BRCA1 and BRCA2 mutation. JAMA 296(2), 185–192 (2006).Crossref, Medline, CAS, Google Scholar
- 13 . Meta-analysis of risk reduction estimates associated with risk-reducing salpingo-oophorectomy in BRCA1 and BRCA2 mutation carriers. J. Natl Cancer Inst. 101(2), 80–87 (2009).Crossref, Medline, CAS, Google Scholar
- 14 Bilateral prophylactic mastectomy reduces breast cancer risk in BRCA1 and BRCA2 mutation carriers: the PROSE Study Group. J. Clin. Oncol. 22(6), 1055–1062 (2004).Crossref, Medline, Google Scholar
- 15 Selective oestrogen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data. Lancet 381(9880), 1827–1834 (2013).Crossref, Medline, CAS, Google Scholar
- 16 Prophylactic surgery to reduce the risk of gynecologic cancers in the lynch syndrome. N. Engl. J. Med. 354(3), 261–269 (2006).Crossref, Medline, CAS, Google Scholar
- 17 Views of BRCA gene mutation carriers on preimplantation genetic diagnosis as a reproductive option for hereditary breast and ovarian cancer. Hum. Reprod. 22(6), 1573–1577 (2007).Crossref, Medline, CAS, Google Scholar
- 18 . Principles and practice of screening for disease. In: Public Health Papers no. 34. World Health Organisation, Geneva, Switzerland (1968).Google Scholar
- 19 . Screening for late onset genetic disorders – breast and ovarian cancer. In: Report on Workshop: UK National Screening Committee (2001). www.library.nhs.uk/screening/viewResource.aspx?catID=1346&dg=107&resID=61150.Google Scholar
- 20 . Appraising organised screening programmes for testing for genetic susceptibility to cancer. BMJ 322(7295), 1174–1178 (2001).Crossref, Medline, CAS, Google Scholar
- 21 . Application of population screening principles to genetic screening for adult-onset conditions. Genet. Test 5(3), 201–211 (2001).Crossref, Medline, CAS, Google Scholar
- 22 . The definition of screening. J. Med. Screen. 8(1), 1 (2001).Crossref, Medline, CAS, Google Scholar
- 23 . Population screening in the age of genomic medicine. N. Engl. J. Med. 348(1), 50–58 (2003).Crossref, Medline, CAS, Google Scholar
- 24 . Revisiting wilson and jungner in the genomic age: a review of screening criteria over the past 40 years. Bull World Health Organ. 86(4), 317–319 (2008).Crossref, Medline, Google Scholar
- 25 . The prevalence of common BRCA1 and BRCA2 mutations among Ashkenazi Jews. Am. J. Hum. Genet. 64(4), 963–970 (1999).Crossref, Medline, CAS, Google Scholar
- 26 . Ashkenazi Jewish population frequencies for common mutations in BRCA1 and BRCA2. Nat. Genet. 14(2), 185–187 (1996).Crossref, Medline, CAS, Google Scholar
- 27 . Genetic risk assessment and brca mutation testing for breast and ovarian cancer susceptibility: systematic evidence review for the U.S. Preventive Services Task Force. Ann. Intern. Med. 143(5), 362–379 (2005).Crossref, Medline, CAS, Google Scholar
- 28 . A literature review of the psychological impact of genetic testing on breast cancer patients. Patient Educ. Couns. 62(1), 13–20 (2006).Crossref, Medline, Google Scholar
- 29 . Cancer genetic risk assessment for individuals at risk of familial breast cancer. Cochrane Database Syst. Rev. (2), CD003721 (2007).Medline, Google Scholar
- 30 Patient satisfaction and cancer-related distress among unselected jewish women undergoing genetic testing for BRCA1 and BRCA2. Clin. Genet. 78(5), 411–417 (2010).Crossref, Medline, CAS, Google Scholar
- 31 Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer: Systematic Review to Update the U.S. Preventive Services Task Force Recommendation, Rockville, MD, USA (2013).Google Scholar
- 32 Characterization of BRCA1 and BRCA2 mutations in a large United States sample. J. Clin. Oncol. 24(6), 863–871 (2006).Crossref, Medline, CAS, Google Scholar
- 33 Ovarian cancer risk in Ashkenazi Jewish carriers of BRCA1 and BRCA2 mutations. Clin. Cancer Res. 8(12), 3776–3781 (2002).Medline, CAS, Google Scholar
- 34 . Penetrance estimates for BRCA1 and BRCA2 based on genetic testing in a clinical cancer genetics service setting: Risks of breast/ovarian cancer quoted should reflect the cancer burden in the family. BMC Cancer 8, 155 (2008).Crossref, Medline, Google Scholar
- 35 . Case-control and case-only designs with genotype and family history data: Estimating relative risk, residual familial aggregation, and cumulative risk. Biometrics 62(1), 36–48 (2006).Crossref, Medline, Google Scholar
- 36 . Association and aggregation analysis using kin-cohort designs with applications to genotype and family history data from the Washington Ashkenazi study. Genet. Epidemiol. 21(2), 123–138 (2001).Crossref, Medline, CAS, Google Scholar
- 37 . A marginal likelihood approach for estimating penetrance from kin-cohort designs. Biometrics 57(1), 245–252 (2001).Crossref, Medline, CAS, Google Scholar
- 38 The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews. N. Engl. J. Med. 336(20), 1401–1408 (1997).Crossref, Medline, CAS, Google Scholar
- 39 Breast and ovarian cancer risks to carriers of the BRCA1 5382insc and 185delag and BRCA2 6174delt mutations: a combined analysis of 22 population based studies. J. Med. Genet. 42(7), 602–603 (2005).Crossref, Medline, CAS, Google Scholar
- 40 Cost-effectiveness of population screening for brca mutations in Ashkenazi Jewish women compared with family history-based testing. J. Natl Cancer Inst. 107(1), 380 (2015).Crossref, Medline, Google Scholar
- 41 NICE. Social value judgements: Principles for the development of nice guidance (2008).Google Scholar
- 42 . Precision medicine meets public health: population screening for BRCA1 and BRCA2. J. Natl Cancer Inst. 107(1), 420 (2015).Crossref, Medline, Google Scholar
- 43 . ‘Screen more’ for cancer risk genes (2014).www.bbc.co.uk/news/health-30246072#.Google Scholar
- 44 Founder mutations in BRCA1 and BRCA2 genes. Ann. Oncol. 18(Suppl. 6), vi93–98 (2007).Crossref, Medline, Google Scholar
- 45 . The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention? Genet. Med. 9(10), 665–674 (2007).Crossref, Medline, Google Scholar
- 46 NICE. Familial breast cancer: classification and care of people at risk of familial breast cancer and management of breast cancer and related risks in people with a family history of breast cancer. National Collaborating Centre for Cancer, Cardiff, UK (2013).Google Scholar
- 47 American Society of Clinical Oncology. American Society of Clinical Oncology policy statement update: genetic testing for cancer susceptibility. J. Clin. Oncol. 21(12), 2397–2406 (2003).Crossref, Medline, Google Scholar
- 48 . Society of gynecologic oncology statement on risk assessment for inherited gynecologic cancer predispositions. Gynecol. Oncol. 136(1), 3–7 (2015).Crossref, Medline, Google Scholar
- 49 SGO. SGO clinical practice statement: genetic testing for ovarian cancer (2014). www.sgo.org/clinical-practice/guidelines/genetic-testing-for-ovarian-cancer.Google Scholar
- 50 Cancer Genome Atlas Research Network. Integrated genomic analyses of ovarian carcinoma. Nature 474(7353), 609–615 (2011).Crossref, Medline, Google Scholar
- 51 Brca mutation frequency and patterns of treatment response in BRCA mutation-positive women with ovarian cancer: a report from the australian ovarian cancer study group. J. Clin. Oncol. 30(21), 2654–2663 (2012).Crossref, Medline, CAS, Google Scholar
- 52 BRCA1 and BRCA2 mutations account for a large proportion of ovarian carcinoma cases. Cancer 104(12), 2807–2816 (2005).Crossref, Medline, CAS, Google Scholar
- 53 Germline and somatic mutations in homologous recombination genes predict platinum response and survival in ovarian, fallopian tube, and peritoneal carcinomas. Clin. Cancer Res. 20(3), 764–775 (2014).Crossref, Medline, CAS, Google Scholar
- 54 Mutations in 12 genes for inherited ovarian, fallopian tube, and peritoneal carcinoma identified by massively parallel sequencing. Proc. Natl Acad. Sci. USA 108(44), 18032–18037 (2011).Crossref, Medline, CAS, Google Scholar
- 55 Frequencies of BRCA1 and BRCA2 mutations among 1,342 unselected patients with invasive ovarian cancer. Gynecol. Oncol. 121(2), 353–357 (2011).Crossref, Medline, CAS, Google Scholar
- 56 The contribution of deleterious germline mutations in BRCA1, BRCA2 and the mismatch repair genes to ovarian cancer in the population. Hum. Mol. Genet. 23(17), 4703–4709 (2014).Crossref, Medline, CAS, Google Scholar
- 57 . Olaparib: First global approval. Drugs 75(2), 231–240 (2015).Crossref, Medline, CAS, Google Scholar
- 58 Olaparib maintenance therapy in patients with platinum-sensitive relapsed serous ovarian cancer: a preplanned retrospective analysis of outcomes by BRCA status in a randomised Phase 2 trial. Lancet Oncol. 15(8), 852–861 (2014).Crossref, Medline, CAS, Google Scholar
- 59 Consequences of universal msi/ihc in screening endometrial cancer patients for lynch syndrome. Gynecol. Oncol. 134(2), 319–325 (2014).Crossref, Medline, Google Scholar
- 60 Performance characteristics of screening strategies for lynch syndrome in unselected women with newly diagnosed endometrial cancer who have undergone universal germline mutation testing. Cancer 120(24), 3932–3939 (2014).Crossref, Medline, Google Scholar
- 61 Implementation of tumor testing for Lynch syndrome in endometrial cancers at a large academic medical center. Gynecol. Oncol. 130(1), 121–126 (2013).Crossref, Medline, Google Scholar
- 62 Revised guidelines for the clinical management of Lynch syndrome (HNPCC): recommendations by a group of European experts. Gut 62(6), 812–823 (2013).Crossref, Medline, CAS, Google Scholar
- 63 . New clinical criteria for hereditary nonpolyposis colorectal cancer (HNPCC, Lynch syndrome) proposed by the International Collaborative Group on HNPCC. Gastroenterology 116(6), 1453–1456 (1999).Crossref, Medline, CAS, Google Scholar
- 64 Revised bethesda guidelines for hereditary nonpolyposis colorectal cancer (Lynch syndrome) and microsatellite instability. J. Natl Cancer Inst. 96(4), 261–268 (2004).Crossref, Medline, CAS, Google Scholar
- 65 ACOG practice bulletin no. 147: Lynch syndrome. Obstet. Gynecol. 124(5), 1042–1054 (2014).Crossref, Medline, Google Scholar
- 66 . Testing women with endometrial cancer to detect Lynch syndrome. J. Clin. Oncol. 29(16), 2247–2252 (2011).Crossref, Medline, Google Scholar
- 67 . The cost-effectiveness of genetic testing strategies for Lynch syndrome among newly diagnosed patients with colorectal cancer. Genet. Med. 12(2), 93–104 (2010).Crossref, Medline, Google Scholar
- 68 Ovarian cancer linked to lynch syndrome typically presents as early-onset, non-serous epithelial tumors. Gynecol. Oncol. 121(3), 462–465 (2011).Crossref, Medline, Google Scholar
- 69 NHS England. Clinical commissioning policy: genetic testing for BRCA1 and BRCA2 mutations (2015).www.engage.england.nhs.uk/consultation/specialised-services-consultation/user_uploads/brca-policy.pdf.Google Scholar
- 70 Germline mutations in RAD51D confer susceptibility to ovarian cancer. Nat. Genet. 43(9), 879–882 (2011).Crossref, Medline, CAS, Google Scholar
- 71 Germline RAD51C mutations confer susceptibility to ovarian cancer. Nat. Genet. 44(5), 475–476; author reply 476 (2012).Crossref, Medline, CAS, Google Scholar
- 72 Mutations in BRIP1 confer high risk of ovarian cancer. Nat. Genet. 43(11), 1104–1107 (2011).Crossref, Medline, CAS, Google Scholar
- 73 CDC. Acce model process for evaluating genetic tests. Genomic testing (2010). www.cdc.gov/genomics/gtesting/ACCE.Google Scholar
- 74 . ACCE: a model process for evaluating data on emerging genetic tests. In: Human Genome Epidemiology: a Scientific Foundation for Using Genetic Information to Improve Health and Prevent Disease. Khoury M, Little J, Burke W (Eds). Oxford University Press, NY, USA, 217–233 (2003).Google Scholar
- 75 . Moving beyond acce: an expanded framework for genetic test evaluation (2007). www.phgfoundation.org/file/16270/.Google Scholar
- 76 Gene-panel sequencing and the prediction of breast-cancer risk. N. Engl. J. Med. 372(23), 2243–2257 (2015).Crossref, Medline, CAS, Google Scholar
- 77 Breast Cancer Action Consortium (2015). http://apps.ccge.medschl.cam.ac.uk/consortia/bcac/.Google Scholar
- 78 Ovarian Cancer Action Consortium (2015). http://apps.ccge.medschl.cam.ac.uk/consortia/ocac/.Google Scholar
- 79 The Consortium of Investigators of Modifiers of BRCA1/2 (2015). http://apps.ccge.medschl.cam.ac.uk/consortia/cimba/.Google Scholar
- 80 . Public health implications from cogs and potential for risk stratification and screening. Nat. Genet. 45(4), 349–351 (2013).Crossref, Medline, CAS, Google Scholar
- 81 Identification of six new susceptibility loci for invasive epithelial ovarian cancer. Nat. Genet. 47(2), 164–171 (2015).Crossref, Medline, CAS, Google Scholar
- 82 A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2. Nat. Genet. 41(9), 996–1000 (2009).Crossref, Medline, CAS, Google Scholar
- 83 A risk prediction algorithm for ovarian cancer incorporating BRCA1, BRCA2, common alleles and other familial effects. J. Med. Genet. 52(7), 465–475 (2015).Crossref, Medline, CAS, Google Scholar
- 84 . Combined associations of genetic and environmental risk factors: Implications for prevention of breast cancer. J. Natl Cancer Inst. 106(11), (2014).Crossref, Medline, Google Scholar
- 85 Population distribution of lifetime risk of ovarian cancer in the United States. Cancer Epidemiol. Biomarkers Prev. 24(4), 671–676 (2015).Crossref, Medline, Google Scholar
- 86 Aspirin, nonaspirin nonsteroidal anti-inflammatory drug, and acetaminophen use and risk of invasive epithelial ovarian cancer: a pooled analysis in the Ovarian Cancer Association Consortium. J. Natl Cancer Inst. 106(2), djt431 (2014).Crossref, Medline, Google Scholar
- 87 . Menopausal hormone use and ovarian cancer risk: Individual participant meta-analysis of 52 epidemiological studies. Lancet 385(9980), 1835–1842 (2015).Crossref, Medline, CAS, Google Scholar
- 88 . Promise. Report of the 2014 Review of research supported by The Eve Appeal, 9 (2014). www.eveappeal.org.uk/media/190995/192009–192014_research_review.pdf.Google Scholar
- 89 Tamoxifen for prevention of breast cancer: extended long-term follow-up of the IBIS-I Breast Cancer Prevention trial. Lancet Oncol. 16(1), 67–75 (2015).Crossref, Medline, CAS, Google Scholar
- 90 Long-term mortality associated with oophorectomy compared with ovarian conservation in the Nurses’ Health Study. Obstet. Gynecol. 121(4), 709–716 (2013).Crossref, Medline, Google Scholar
- 91 Effect of screening on ovarian cancer mortality: the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer screening randomized controlled trial. JAMA 305(22), 2295–2303 (2011).Crossref, Medline, CAS, Google Scholar
- 92 Risk algorithm using serial biomarker measurements doubles the number of screen-detected cancers compared with a single-threshold rule in the United Kingdom Collaborative trial of Ovarian Cancer Screening. J. Clin. Oncol. 33(18), 2062–2071 (2015).Crossref, Medline, Google Scholar
- 93 . Ovarian cancer and oral contraceptives: collaborative reanalysis of data from 45 epidemiological studies including 23,257 women with ovarian cancer and 87,303 controls. Lancet 371(9609), 303–314 (2008).Crossref, Medline, CAS, Google Scholar
- 94 Expanding access to BRCA1/2 genetic counseling with telephone delivery: a cluster randomized trial. J. Natl Cancer Inst. 106(12), (2014).Crossref, Google Scholar
- 95 Randomized noninferiority trial of telephone versus in-person genetic counseling for hereditary breast and ovarian cancer. J. Clin. Oncol. 32(7), 618–626 (2014).Crossref, Medline, Google Scholar
- 96 A non-inferiority cluster randomised trial comparing DVD-based and traditional face-to-face genetic counselling in systematic population testing for BRCA mutations. Presented at: 3rd Joint Cancer Genetics Group Meeting and 14th International Meeting on Psychosocial Aspects of Hereditary Cancer. Manchester, UK, 5–7 May 2015.Google Scholar
- 97 . Mainstreaming cancer genetics programme. http://mcgprogramme.com/brcatesting/.Google Scholar
- 98 . Genetic Testing in Epithelial Ovarian Cancer (GTEOC) study (2015). www.cancerresearchuk.org/about-cancer/find-a-clinical-trial/a-study-looking-genetic-testing-ovarian-cancer-gteoc#undefined.Google Scholar
- 99 . Multiplex genetic testing: Reconsidering utility and informed consent in the era of next-generation sequencing. Genet. Med. 17(2), 97–98 (2015).Crossref, Medline, CAS, Google Scholar
- 100 SGO. SGO clinical practice statement: next generation cancer gene panels versus gene by gene testing (2014). www.sgo.org/clinical-practice/guidelines/next-generation-cancer-gene-panels-versus-gene-by-gene-testing/.Google Scholar
- 101 The Genomic Medicine Foundation. Direct to consumer genetic testing’ – guidelines from the British Society of Genetic Medicine on behalf of the UK Genetic/Genomics Community (2015). www.genomicmedicine.org/direct-to-consumer-genetic-testing/.Google Scholar
- 102 Statement of the ESHG on direct-to-consumer genetic testing for health-related purposes. Eur. J. Hum. Genet. 18(12), 1271–1273 (2010).Crossref, Medline, Google Scholar
- 103 . American Society of Clinical Oncology policy statement update: genetic and genomic testing for cancer susceptibility. J. Clin. Oncol. 28(5), 893–901 (2010).Crossref, Medline, Google Scholar
- 104 , ASHG Social Issues Committee. ASHG statement* on direct-to-consumer genetic testing in the United States. Am. J. Hum. Genet. 81(3), 635–637 (2007).Crossref, Google Scholar
- 105 . Direct to consumer genetic testing. BMJ 342, d2317 (2011).Crossref, Medline, Google Scholar
- 106 . 23andMe, the Food and Drug Administration, and the future of genetic testing. JAMA Intern. Med. 174(4), 493–494 (2014).Crossref, Medline, Google Scholar
- 107 . Innovation, risk, and patient empowerment: the FDA-mandated withdrawal of 23andMe's personal genome service. JAMA 311(8), 793–794 (2014).Crossref, Medline, CAS, Google Scholar
- 108 . 23andMe and the FDA. N. Engl. J. Med. 370(11), 985–988 (2014).Crossref, Medline, CAS, Google Scholar
- 109 . Regulation: the FDA is overcautious on consumer genomics. Nature 505(7483), 286–287 (2014).Crossref, Medline, Google Scholar
- 110 . Population-based screening for BRCA1 and BRCA2: 2014 Lasker award. JAMA 312(11), 1091–1092 (2014).Crossref, Medline, CAS, Google Scholar
- 111 . A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. New Biotechnol. 29(6), 613–624 (2012).Crossref, Medline, CAS, Google Scholar
- 112 . A new initiative on precision medicine. N. Engl. J. Med. 372(9), 793–795 (2015).Crossref, Medline, CAS, Google Scholar
- 113 The White House. Remarks by the president on precision medicine (2015). www.whitehouse.gov/the-press-office/2015/2001/2030/remarks-president-precision-medicine.Google Scholar

