Development of risk prediction algorithms for familial breast and ovarian cancer and their use for genetic counselling purposes-Ponder
Submitting Institution
University of CambridgeUnit of Assessment
Clinical MedicineSummary Impact Type
HealthResearch Subject Area(s)
Biological Sciences: Genetics
Medical and Health Sciences: Oncology and Carcinogenesis, Public Health and Health Services
Summary of the impact
Basic, clinical and applied research at the University of Cambridge has
culminated in a widely-used risk prediction algorithm ("BOADICEA") for
familial breast and ovarian cancer. This web-based, user-friendly tool
predicts the likelihood of carrying mutations in breast and ovarian cancer
high risk genes (BRCA1 and BRCA2), and the risk of developing breast or
ovarian cancer. In 2006, BOADICEA was been recommended by the UK National
Institutes of Health and Clinical Excellence (NICE: CG41, 2006) and the
American Cancer Society (since 2011). In June 2013, NICE recommended
BOADICEA in subsequent guidance (CG164). Furthermore, several national
bodies have designated BOADICEA as the standard tool to assess eligibility
for high risk breast cancer screening.
Underpinning research
The defined impact: BOADICEA was developed by researchers (Antonis and
Easton) based in the Department of Public Health and Primary Care at
Cambridge in 2004 , which was underpinned by primary research carried out
over many years by Ponder. The large meta-analysis of BRCA 1 and 2
families ascertained through population based methods (1 - 3) and
performed by researchers at Cambridge formed the basis of development for
this clinical tool.
Sir Bruce Ponder (Professor of Human Cancer Genetics; 1993; Professor of
Oncology 1996 — present; Director, CRUK Cambridge Research Institute
2005-2013; Director, Cambridge Cancer Centre 2005-present) led efforts to
collect blood samples and clinical data on large numbers of high risk
families with breast cancer, and from 10,000 prevalent and incident cases
within the Anglian region. He did this because he realised that these
would be required to support the on-going scientific efforts to identify
the BRCA1 and 2 genes; and subsequently to define the clinico pathological
correlates of these mutations and also for GWAS to find other novel
predisposition alleles, which were more common, but less penetrant.
Consequently Ponder established the UK Consortium for Breast Cancer
Linkage (a national/worldwide network of oncology specialists/
researchers) and was the first chair of the International Consortium for
Breast and Ovarian cancer linkage (1989-1993). In order to carry out the
collection and genetic research on these large data sets he also
co-founded and was Director of the Strangeways Laboratories for Genetic
Epidemiology where much of the internationally leading work on the
genetics of breast, ovarian and prostate cancer has been done (1996 -
2008).
Work by Ponder and collaborators others refined the mapping of the BRCA1
gene within chromosome 17 q12-21 in 1994/5 (4). In 1995, Ponder's
laboratory contributed to the linkage mapping that identified a second
susceptibility gene (BRCA2) within a 6-centimorgan interval on chromosome
13q12-13 (5, 6). Ponder's highly significant and ongoing research
contributions have led to over 150 high impact papers on breast cancer
genetics; 70 of them on BRCA1 and BRCA2, with over 20 of them cited
>100 times. Following the cloning of BRCA1 and 2 by MYRIAD Genetics in
Utah, Ponder and others led the work to define the penetrance and
clinic-pathological correlates of BRCA1 and BRCA2 mutations in familial
cancers of the breast, ovary and prostate in 1995 onwards, and also showed
the phenotype such cancers in familial cases (2) and the incidence of such
mutations in apparently sporadic cases (3). His more recent work sought to
uncover the mechanisms whereby the single nucleotide polymorphisms in the
genome (7, 8) that underpin the common genetic risk factors for breast
cancer, affect breast cell biology. He recently contributed critical
functional analysis to elucidation of the mechanism by which the SNP
rs554219 affects risk through altered regulation of cyclin D1, providing
new, generalizable, insights into the mechanisms by which risk SNPs have
their effects (9).
References to the research
1. Ford D, Easton DF, Stratton M, Narod S, Goldgar D, Devilee P, Bishop
DT, Weber B, Lenoir G, Chang-Claude J, Sobol H, Teare MD, Struewing J,
Arason A, Scherneck S, Peto J, Rebbeck TR, Tonin P, Neuhausen S,
Barkardottir R, Eyfjord J, Lynch H, Ponder BA, Gayther SA,
Zelada-Hedman M, et al. Genetic heterogeneity and penetrance analysis of
the BRCA1 and BRCA2 genes in breast cancer families. The Breast Cancer
Linkage Consortium. Am J Hum Genet. 1998 Mar;62(3):676-89. (cited >
1,500)
2. Gayther SA, Warren W, Mazoyer S, Russell PA, Harrington PA, Chiano M,
Seal S, Hamoudi R, van Rensburg EJ, Dunning AM, Love R, Evans G, Easton D,
Clayton D, Stratton MR, Ponder BA. Germline mutations of the BRCA1
gene in breast and ovarian cancer families provide evidence for a
genotype-phenotype correlation. Nat Genet. 1995 Dec;11(4):428-33. (cited
> 350)
3. Ponder BAJ, Day NE, Easton DF, Pharoah PDP, Lipscombe JM,
Redman K, Antoniou A, Basham V, Gregory J, Gayther S & Dunning A
(2000). Prevalence and penetrance of BRCA1 and BRCA2 mutations in a
population-based series of breast cancer cases. Br J Cancer 83,
1301-1308. Peer-reviewed article, citations as of July 2013: 62
4. Cornelis RS, Neuhausen SL, Johansson O, Arason A, Kelsell D, Ponder
BA, Tonin P, Hamann U, Lindblom A, Lalle P, et al. High allele loss
rates at 17q12-q21 in breast and ovarian tumors from BRCA1-linked
families. The Breast Cancer Linkage Consortium. Genes Chromosomes Cancer.
1995 Jul;13(3):203-10.
5. Wooster R, Bignell G, Lancaster J,.......Ponder BAJ, ...et al,
, Stratton MR. Identification of the breast cancer susceptibility gene
BRCA2. Nature. 1995;378(6559):789-92. (cited > 1,900)
6. Wooster R, Neuhausen SL, Mangion J, .... Ponder BAJ, Skolnick
MH, Easton DF, Goldgar DE, Stratton MR. Localization of a breast cancer
susceptibility gene, BRCA2, to chromosome 13q12-13. Science.
1994;265(5181):2088-90. (cited > 1,000)
7. Easton DF, Pooley KA, .... Ponder BAJ (2007) Genome-wide
association study identifies novel breast cancer susceptibility loci.
Nature 447: 1087-93, DOI: 10.1038/nature05887. (cited > 1,000)
8. Ghoussaini M, Fletcher O, Michailidou K, et al, Ponder BA,
Chenevix-Trench G, Pharoah PD, Lathrop M, Dunning AM, Rahman N, Peto J,
Easton DF. Genome-wide association analysis identifies three new breast
cancer susceptibility loci. Nat Genet. 2012 Mar;44(3):312-8
9. French JD, Ghoussaini M, Edwards SL, Meyer KB, .... et al, Ponder BA,
Nevanlinna H, Brown MA, Chenevix-Trench G, Easton DF, Dunning AM.
Functional variants at the 11q13 risk locus for breast cancer regulate
cyclin D1 expression through long-range enhancers. Am J Hum Genet. 2013
Apr 4;92(4):489-503.
Details of the impact
BOADICEA: Breast and Ovarian Analysis of Disease Incidence and Carrier
Estimation Algorithm (1) is a risk model for familial breast and ovarian
cancer, which computes BRCA1 and BRCA2 mutation carrier probabilities and
age specific risks for breast and ovarian cancer. This model was developed
by Antonis and Easton, (Department of Public Health and Primary Care at
Cambridge) as a direct result of Ponder's work on the relationship between
BRCA1/2 and breast cancer susceptibility, and made use of the large data
sets of epidemiological data developed by Ponder. BOADICEA models the
simultaneous effects of BRCA1 and BRCA2 mutations. BOADICEA was adopted by
NICE in 2006 (CG41; 2) and incorporated into subsequent guidance in June
2013 (3).
Beneficiaries: The beneficiaries of BOADICEA are: 1) healthcare
providers, notably organisers of breast cancer screening programmes (e.g.,
the NHS in the UK); 2) clinicians and genetic counsellors; 3) family
members of women with breast cancer or otherwise at high risk of the
disease; 4) the general public; 5) research scientists for planning
screening or intervention trials and for designing research studies.
Indicators of extent of impact: The web-interface of BOADICEA has
been available since November 2007 and currently has more than 1,500
registered users. These include not only clinical geneticists and genetic
counsellors but researchers and users from the insurance sector
(anonymised ethical data). Users are located in the UK, elsewhere in
Europe, North America, Australia, and several other countries. Recent
monitoring of the web servers revealed an average of 50 concurrent users
at any given time. Clinics in North America and Australia recommend
BOADICEA as part of their guidelines and oncology programmes (4, 5).
Nature of impacts: BRCA1 and BRCA2 mutation screening is expensive
and is also associated with adverse psychosocial effects. Hence, it is
crucial that genetic testing for BRCA1 and BRCA2 is targeted at
individuals most likely to be carriers, particularly in the context of the
National Health Service (NHS) and other publicly funded health care
systems. Use of BOADICEA has had several inter-related impacts in this
regard:
(1) To identify women eligible for screening by magnetic resonance
imaging (MRI)
Under the guidelines adopted by the UK National Institutes of Health and
Clinical Excellence (NICE), women at moderate or high risk of developing
breast cancer are offered mammographic screening from age 40, and a subset
of high risk women, including BRCA1 and BRCA2 mutation carriers should be
offered screening by MRI. MRI screening is more sensitive than mammography
but is approximately ten-fold more expensive. BOADICEA was adopted by NICE
(2, 3) from 2006 as a risk prediction algorithm for classifying women at
risk of familial cancer into three risk categories: women at or near
population risk, raised risk, or high risk and remains the tool of choice
to date. Since 2006, women predicted to be at raised or high risk by
BOADICEA have been offered annual mammographic surveillance from age 40,
compared to age 50 under the standard NHS screening programme. Women at
high risk are offered MRI screening. As an ancillary impact in the same
vein, BOADICEA has also been used to determine eligibility for entry into
the MARIBS screening trial evaluating the efficacy of x-ray mammography
and MRI (6). Other guidelines also include BOADICEA data (7)
(2) To refer women for BRCA1 and BRCA2 mutation screening
Predictions obtained by BOADICEA are used by geneticists to refer
individuals for BRCA1 and BRCA2 mutation screening (usually a combined
mutation carrier prediction of over 20%).
(3) To guide prophylactic surgery and chemoprevention options for
women at high risk
The cancer risk predictions of BOADICEA are being used to guide
prophylactic surgery and chemoprevention options for women at high risk.
As noted above, BOADICEA is one of the risk prediction algorithms
recommended in the UK and other countries (e.g. American Cancer Society
and Ontario Breast Screening program incorporated in guidelines since
2011) for determining eligibility for high risk screening (8, 9, 10).
(4) To counsel women carrying BRCA1 and BRCA2 mutations
BRCA1 and BRCA2 cancer risk estimates obtained from the studies in the
list of references provided above and based on BOADICEA are being used to
counsel women carrying such mutations. These estimates have also been
widely used by various support groups such as FORCE for providing
information to individuals at risk of hereditary breast and ovarian cancer
(http://www.facingourrisk.org/).
Process of dissemination:
BOADICEA is well established internationally as indicated above. A recent
high impact review noted: "BOADICEA also provided the best
discrimination between mutation carriers and non-carriers" (11)
A web-based user-friendly interface was developed for BOADICEA
(http://www.srl.cam.ac.uk/genepi/boadicea/boadicea_home.html)
allows users to obtain rapid estimates of BRCA1 and BRCA2 carrier
probabilities and risks of developing breast or ovarian cancer.
Sources to corroborate the impact
- Antoniou AC, Pharoah PDP, Smith P, Easton DF (2004). The BOADICEA
model of genetic susceptibility to breast and ovarian cancer. Br J
Cancer 91:1580-90
- National Institutes of Health and Clinical Excellence, UK: CG41
Familial breast cancer: full guideline (the new recommendations and the
evidence they are based on), October 2006: http://guidance.nice.org.uk/cg41/guidance/pdf/English
- National Institutes of Health and Clinical Excellence, UK: CG164.
Familial breast cancer. June 2013. http://www.nice.org.uk/nicemedia/live/14188/64202/64202.pdf
- https://www.cancercare.on.ca/common/pages/UserFile.aspx?fileId=99500
- http://canceraustralia.gov.au/clinical-best-practice/gynaecological-cancers/familial-risk-assessment-fra-boc/references
- DGR Evans, Lennard et al Eligibility for Magnetic Resonance Imaging
Screening in the United Kingdom: Effect of Strict Selection Criteria and
Anonymous DNA Testing on Breast Cancer Incidence in the MARIBS Study
Cancer Epidemiol Biomarkers Prev 2009;18:2123-2131
- Saslow D, Boetes C, Burke W, Harms S, Leach MO, Lehman CD, Morris E,
Pisano E, Schnall M, Sener S, Smith RA, Warner E, Yaffe M, Andrews KS,
Russell CA for the American Cancer Society Breast Cancer Advisory Group
(2007) American Cancer Society guidelines for breast screening with MRI
as an adjunct to mammography CA Cancer J Clin 57: 75-89
- American Cancer Society mammographic screening guidelines: Smith RA,
et al. Cancer screening in the United States, 2011: A review of current
American Cancer Society guidelines and issues in cancer screening. CA
Cancer J Clin. 2011 Jan-Feb;61(1):8-30
- Ontario Breast Screening Program:
https://www.cancercare.on.ca/pcs/screening/breastscreening/OBSP/
- Cancer Australia (Australian Government): Familial Risk Assessment —
Breast and Ovarian Cancer. http://canceraustralia.gov.au/clinical-best-practice/gynaecological-
cancers/familial-risk-assessment-fra-boc
- Amir E, Freedman OC, Seruga B, et al. (2010) Assessing Women at High
Risk of Breast Cancer: A Review of Risk Assessment Models. J Natl Cancer
Inst: 102: 680-691