Development of risk prediction algorithms for familial breast and ovarian cancer
Submitting Institution
University of CambridgeUnit of Assessment
Public Health, Health Services and Primary CareSummary Impact Type
HealthResearch Subject Area(s)
Mathematical Sciences: Statistics
Biological Sciences: Genetics
Medical and Health Sciences: Oncology and Carcinogenesis
Summary of the impact
Basic 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 user-friendly
web-based tool predicts the likelihood of carrying mutations in breast and
ovarian cancer high-risk
genes (BRCA1 and BRCA2), and the risks of developing breast
or ovarian cancer.
BOADICEA has been adopted by several national bodies including NICE in the
UK (2006 until
present), the American Cancer Society and the Ontario Breast Screening
Program (both since
2011) for identifying women who would benefit from BRCA1/2
mutation screening, intensified
breast cancer screening and chemoprevention.
Underpinning research
Researchers: Department of Public Health and Primary Care: Prof
Easton (University Lecturer,
1995-1999; Reader, 1993-2003; Professor, since 2003) and Dr Antoniou
(post-doctoral fellow
2001-2009; CR-UK Senior Research Fellow 2009-13; Reader since 2013).
Research setting: BOADICEA was developed using primary research
findings from the Centre
for Genetic Epidemiology at the University of Cambridge since 1995. The
Centre is the host for
a number of large-scale epidemiological studies and has played a leading
role in the
identification and characterisation of breast (and other) cancer
susceptibility variants.
Underpinning data and methods: The models were developed using
data from local and national
studies collected from 1996, combined with data from large international
collaborative studies
coordinated at the Centre for Cancer Genetic Epidemiology [Research ref
2]. Using the largest
world-wide series of breast cancer patients screened for BRCA1 and
BRCA2 mutations, Dr
Antoniou and Prof Easton used advanced statistical methods in 2002-2003 to
estimate the
breast and ovarian cancer risks for BRCA1 and BRCA2
mutation carriers [Research ref 1]. In
parallel between 2001-2008, Dr Antoniou and Prof Easton developed novel
statistical techniques to
model susceptibility to disease within families [Research ref 2]. These
data and methods formed the
basis of developing the BOADICEA algorithm [Research ref 2]. This was the
first algorithm to
model comprehensively genetic susceptibility to breast cancer, based on
the largest available data
resources worldwide. Between 2006 and 2008, Dr Antoniou led the analysis
to evaluate risk
prediction algorithms for familial breast cancer which involved the large
majority of clinical
genetics centres in the UK [Research ref 3]. This was the largest study of
its kind, including
1934 families. It demonstrated that BOADICEA was well-calibrated and that
it provided the best
discrimination among available risk models. Thus, BOADICEA was shown to be
a valid tool that
could be used for genetic counselling of familial breast cancer.
Additional research to broaden applicability of BOADICEA: Since
2007 Prof Easton has been
leading world-wide efforts to identify common breast cancer susceptibility
alleles through
genome-wide association studies. Sixty of the 67 known breast cancer
alleles have been
identified through studies at the University of Cambridge [Research ref
4]. Prof Easton and Dr
Antoniou have been coordinating the analytical efforts for the Breast
Cancer Association
Consortium (BCAC) and Consortium of Investigators of Modifiers of BRCA1/2
(CIMBA). These
consortia have played a key role in the characterisation of novel genetic
variants and of risks
for BRCA1 and BRCA2 mutation carriers [Research refs 4,5].
Recent risk modelling work, by
Dr Antoniou and Prof Easton, has also demonstrated that the research has
direct clinical
applicability for women who carry the BRCA1 and BRCA2 mutations who are
among the first
patients for whom the common breast cancer susceptibility variants can be
used for risk
prediction [Research ref 5]. Similarly, they have shown that common breast
cancer
susceptibility alleles identified from BCAC may have a role in targeted
prevention of breast
cancer [Research ref 6].
References to the research
1. Antoniou A, Pharoah PD, Narod S, ..... Easton DF (2003). Average Risks
of Breast and Ovarian
Cancer Associated with BRCA1 or BRCA2 Mutations Detected in Case Series
Unselected for
Family History: A Combined Analysis of 22 Studies. Am J Human Genet 72:
1117-30 (>1000
citations)
2. Antoniou AC, Cunningham AP.......... Easton DF (2008) The BOADICEA
model of genetic
susceptibility to breast and ovarian cancers: updates and extensions. Br J
Cancer 98:1457-66
3. Antoniou AC, ..., Easton DF, Pharoah PD (2008) Predicting the
likelihood of carrying a BRCA1
or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the
Manchester
scoring system using data from UK genetics clinics. J Med Genet 45:425-31
4. Easton DF, Pooley KA et al (2007) Genome-wide association study
identifies novel breast
cancer susceptibility loci. Nature 447: 1087-93 (>1000 citations)
5. Antoniou AC, Beesley J, McGuffog L,...., Easton DF (2010) Common
breast cancer
susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2
mutation
carriers: implications for risk prediction. Cancer Res 70:9742-54
6. Pharoah PDP, Antoniou AC, Easton DF, Ponder BAJ (2008) Polygenes, Risk
Prediction, and
Targeted Prevention of Breast Cancer. New England Journal of Medicine 358:
2796-803
Grants:
• Four programme Grants from Cancer Research Campaign and CR-UK:
"Genetic Epidemiology
of Cancer", 1993-2013 (PI for all: D. Easton, funding from 1998 to 2013
£4.5m).
• CR-UK Senior Cancer Research Fellowship (PI: A. Antoniou) "Development
of risk prediction
algorithms for breast, ovarian and other cancers" 2009-12. £582,038
• CR-UK Project Grant (PI: D. Easton) "Follow-up of Genome Wide
Association Studies in Breast
Cancer". 2009-11. £161,390
• EC Seventh Framework Programme (FP7) HEALTH-F2-2009-223175 (PI: P
Hall, co-PI: D
Easton) "Collaborative Oncological Gene-environment Study (COGS)"
2009-14 £3,064,186
• Genome Canada/CIHR (PI: J. Simard, Co-I D. Easton, Co-I A. Antoniou)
"Personalised Risk
Stratification for Prevention and Early Detection of Breast Cancer"
2013-17 Total Budget: $11
559 128 ($483,782 to D. Easton; $330,450 to A. Antoniou)
Details of the impact
Outcome of research: A web-based user-friendly interface was
developed for BOADICEA (Impact
reference 5.1) which allows users to obtain rapid estimates of BRCA1
and BRCA2 carrier
probabilities and risks of developing breast or ovarian cancer. This
web-tool was made available
for general use in January 2008.
Scope and reach of BOADICEA: The web-interface of BOADICEA
currently has more than 2500
registered users from the UK and 45 other countries (Europe, North America
and Australia and
other). Periodic monitoring of the web servers during 2012 revealed an
average of 50 concurrent
users at any given time during a working week. The chief beneficiaries of
BOADICEA have so far
been healthcare providers, notably organisers of genetic testing (clinical
geneticists and genetic
counsellors), breast cancer screening and chemoprevention programmes,
oncologists and general
practitioners, family members of women with breast cancer or otherwise at
high risk of the disease,
women with BRCA1 or BRCA2 mutations and their families who
could be counselled for their
breast or ovarian cancer risks, the general public and bodies involved in
the planning of screening
or intervention trials.
Indicators of extent of impact: BOADICEA is one of the risk
prediction algorithms currently
recommended by the UK National Institutes of Health and Clinical
Excellence (NICE, Impact
reference 5.2, since 2006). It was also recommended by equivalent bodies
in other countries (e.g.
American Cancer Society and Ontario Breast Screening program incorporated
in guidelines since
2011 for determining eligibility for screening of high risk patients
(Impact references 5.3-5.6).
Nature of impacts: BRCA1 and BRCA2 mutation
screening is expensive and is associated with
adverse psychosocial effects. Similarly, breast cancer screening is
expensive and has adverse
consequences including over-diagnosis. Chemoprevention is effective for
breast cancer prevention
but has adverse side effects. Thus, it is crucial that these interventions
are targeted at the
individuals most likely to benefit. Use of BOADICEA has had several
inter-related impacts in this
regard:
(1) To identify women eligible for screening by magnetic resonance
imaging (MRI) so that available
resources are targeted to those most likely to benefit most from early
cancer diagnosis, while
minimising the associated health service costs [Impact references
5.2, 5.5].
Under NICE current guidelines, women at raised 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, are offered screening by MRI. MRI screening is
more sensitive than
mammography but is approximately ten-fold more expensive. BOADICEA was
first adopted by
NICE in 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. BOADICEA
remains one of only two recommended breast cancer/carrier risk assessment
tools by the revised
NICE guidelines (June 2013, Impact reference 5.2). Women predicted to be
at raised or high risk
are 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.
(2) Clinical genetics services are now using BOADICEA to refer women
for BRCA1 and BRCA2
mutation screening.
Predictions obtained by BOADICEA are being used to provide a consistent
way for referring
individuals for BRCA1 and BRCA2 mutation screening (NICE
guidelines currently recommend a
combined mutation carrier prediction of over 10% although the threshold
varies across countries,
Impact reference 5.2). This allows targeting mutation screening to those
individuals most likely to
carry BRCA1 and BRCA2 mutations, thus minimising the
psychosocial effects related to mutation
screening and the associated costs of mutation screening. Women found to
carry BRCA1 and
BRCA2 mutations could then be offered more intensive screening,
prophylactic surgery or other
risk reduction options.
(3) To guide chemoprevention and prophylactic surgery options for
women at high risk.
The predicted risks provided by BOADICEA are helping clinicians and
high-risk women take
informed decisions when faced with the options of risk reducing surgery,
regular screening or
chemoprevention. According to the revised NICE guidelines (Impact
reference 5.2) women
classified to be at high-risk of developing breast cancer may be offered
chemoprevention with
Tamoxifen or Raloxifene.
(4) To counsel women carrying BRCA1 and BRCA2 mutations
BRCA1 and BRCA2 cancer risk estimates 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 the patient support group FORCE (impact reference 5.7)
Sources to corroborate the impact
5.1 BOADICEA web application: http://ccge.medschl.cam.ac.uk/boadicea/
5.2 National Institutes of Health and Clinical Excellence, UK: CG41
Familial breast cancer: full
guideline. 2013: http://www.nice.org.uk/nicemedia/live/14188/64202/64202.pdf
(paper 2 cited on
pages 8,13, 30).
5.3 American Cancer Society: Smith RA, et al. Cancer Screening in the
United States, 2012. A
Review of Current American Cancer Society Guidelines and Current Issues in
Cancer Screening
CA Cancer J Clin. 2012, 62:129-142 (paper 2 cited)
5.4 The U.S. National Society of Genetic Counselors. Riley BD, et al
(2012) Essential Elements of
Genetic Cancer Risk Assessment, Counseling, and Testing: Updated
Recommendations of the
National Society of Genetic Counselors. J Genet Counsel (2012) 21:151-161
(paper 2 cited)
5.5 Ontario Breast Screening Program (Canada):
https://www.cancercare.on.ca/common/pages/UserFile.aspx?fileId=99492
[Paper 2 cited, pages 1,
3, 4]
5.6 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.
(papers 1, 2 cited: http://canceraustralia.gov.au/clinical-best-practice/gynaecological-cancers/familial-risk-assessment-fra-boc/references.
5.7 FORCE (Facing Our Risk of Cancer Empowered) www.facingourrisk.org/
cites research
references 1 and 4 in: http://www.facingourrisk.org/info_research/risk-factors/breast-cancer-risks/advanced.php,
specific page at
www.facingourrisk.org/search/index.php?query=easton&type=and&results=10&search=1