Be RIGHT with breast cancer risk management (BRIGHT) breast cancer precision prevention study
ISRCTN | ISRCTN29884654 |
---|---|
DOI | https://doi.org/10.1186/ISRCTN29884654 |
Secondary identifying numbers | 220720 |
- Submission date
- 07/09/2022
- Registration date
- 13/01/2023
- Last edited
- 13/01/2023
- Recruitment status
- No longer recruiting
- Overall study status
- Ongoing
- Condition category
- Cancer
Plain English summary of protocol
Background and study aims
Breast cancer (BC) is the leading cause of cancer deaths in women. Current BC screening guidelines are primarily based on age and do not support regular screening of women below the age of 50. This largely excludes young women at high risk for developing BC. On the other side, mammography screening also has potential harms and costs, therefore it is not reasonable to implement screening for all women under the age of 50. It is no longer appropriate to apply a single recommendation to women across all age groups and risk profiles and a far more precise and personalized risk estimation is needed.
To improve the effectiveness of mammographic screening for breast cancer there needs to be a risk-based way to identify subgroups of women for targeted screening programmes. Targeted screening based on genetic risk could allow precision prevention of breast cancer. This could decrease the societal and economic burden of the condition while adding healthy life years for participating women. This trial aims to evaluate the impact of implementing a population-based genetics testing strategy for BC precision prevention. The testing methods used will include the calculation of a polygenic risk score which tells you how a person’s breast cancer risk compares to others with a different genetic constitution and testing for cancer-causing variations in single genes (monogenic pathogenic variant testing) method. The study will also evaluate the feasibility, potential clinical utility and cost-effectiveness of the population-based genetic testing strategy for BC precision prevention.
Who can participate?
Healthy adult women in Estonia, Portugal and Sweden. The participants will be split into three groups:
1. (In Estonia and Portugal) women aged between 35 to 49 years old and not currently invited to regular BC screening
2. (In Sweden) women aged between 30 and 39 years old who are not currently not invited to regular BC screening
3. (In Sweden) women aged between 40 and 50 years old who are currently in a BC screening group before age 50 years
What does the study involve?
The study evaluates the implementation of a comprehensive program of genetic-risk-based personalized BC screening and prevention for women aged 35-49 years, an age group younger than in the current population screening in most countries. For genetic risk prediction, the study uses polygenic risk score and questionnaire-based referral for monogenic pathogenic variants testing to assess their feasibility with follow-up diagnostic screening and prevention activities. The study will investigate the effectiveness, cost-efficiency, feasibility, acceptability and healthcare system readiness of this approach.
What are the possible benefits and risks of participating?
Participants may benefit by being given their personalized risk estimates, counselling and most appropriate management. There are possible risks associated with participation from possible under- and/or over-management due to model imprecision.
Where is the study run from?
The University of Tartu (Estonia)
When is the study starting and how long is it expected to run for?
April 2022 to December 2025
Who is funding the study?
European Commission via EIT Health
Who is the main contact?
Prof. Neeme Tõnisson (Principal investigator) (Estonia)
neeme.tonisson@ut.ee
Contact information
Principal Investigator
University of Tartu
Institute of Genomics
Research Center of the Estonian gene pool
Riga 23b/2–424
Tartu
51010
Estonia
0000-0002-1715-3164 | |
Phone | +372 737 4010, 5029 |
neeme.tonisson@ut.ee |
Study information
Study design | Multicenter single-arm observational cross-sectional trial |
---|---|
Primary study design | Observational |
Secondary study design | Cross sectional study |
Study setting(s) | Hospital |
Study type | Prevention |
Participant information sheet | Not available in web format |
Scientific title | Be RIGHT with breast cancer risk management (BRIGHT) breast cancer precision prevention feasibility study |
Study acronym | BRIGHT |
Study objectives | 1. A genetics-based breast cancer (BC) prevention program has a clinical utility and is cost-effective for women under age 40 or 50 years 2. A genetics-based BC prevention program is feasible and acceptable and healthcare systems are ready to implement it |
Ethics approval(s) | 1. Estonia: approved 12/04/2022, Estonian Council of Bioethics and Human Research (Eesti Bioeetika ja Inimuuringute Nõukogu) (Estonian Ministry of Social Affairs; Suur-Ameerika 1, 10122 Tallinn, Estonia; Tel: not available; info@sm.ee), ref: 1.1-12/1930, latest amendment 1.1-1/2894, amendment date 01/09/2022 2. Portugal: approval pending, Comissão de ética (Av. Professor Egas Moniz, 1649-035 Lisboa, Portugal; +351 (0)217 805 000) 3. Sweden: approved 24/10/2022,, Etikprövningsmyndigheten (Box 2110, 750 02 Uppsala, Sweden; +46 (0)104750800; registrator@etikprovning.se), ref: 2022-03074-01 |
Health condition(s) or problem(s) studied | Breast cancer |
Intervention | Personalized referral to mammography screening by polygenic risk score and monogenic pathogenic variant (MPV)-based risk level estimates. Interventions are made according to the estimated breast cancer risk levels. According to genetic information and risk levels following interventions may follow (example of Estonian clinical protocol; protocols in Sweden and Portugal have slight differences, based on the local screening practice): 1. Screening mammography 2. MD consulting 3. Magnetic resonance tomography of breasts 4. Hormonal chemoprevention in case of high-risk with tamoxifen or aromatase inhibitors In the case of monogenic pathogenic variants (MPV) additionally: gynecological ultrasonography, CA125 tumor marker testing, and potentially risk-reducing surgeries based on personalized decisions. A Polygenic Risk Score (PRS) test uses a buccal swab sample and can be done as a home-based test (using parcel machines) or can be done at the site in clinics. Sample collection instructions are given in the attached PD-058 document. Recommendations based on the PRS test: Based on the PRS, it is possible to divide the patient's relative risk of developing breast cancer into different levels compared to the average in the given age, while accurately assessing the risk of a particular percentile. Different levels of disease risk: 1. Lower or at the same level 2. Slightly elevated (up to two times) 3. Moderately elevated (two to three times) 4. Elevated more than three times Applying the precision prevention model: In Estonia, mammography screening in the age group 50-69 years at 2-year intervals is currently a recognized standard practice. Consequently, the “zero point” of the risk level at the beginning of the screening is the average risk level of 50-year-old women, which is a 10-year morbidity risk of N % using patient’s population data, calculated by Choudhury et al. using an absolute risk assessment model. Patient’s individual and patient population average 10-year BC risks are reported in the AnteBC test report. When assessing individual risk levels, the above risk groups can be advised based on current scientific knowledge: Variant 1. If the risk is below average or at a medium level: 1. Participate in a standard mammography screening from the age of 50 years 2. Follow general guidelines for reducing the risk of breast cancer (see accompanying recommendations) Variant 2. If the risk is slightly increased - up to two times (moderate increase in risk depending on age): 1. Implement mammography screening at 2-year intervals from the age at which the risk of the average 50-year-old woman is reached (depending on the age at which the 10-year risk reaches N %), i.e. screening is recommended for those under 50 years of age due to an increased risk. 2. Follow general guidelines for reducing the risk of breast cancer (see accompanying recommendations). Variant 3. If the risk is increased two to three times (moderate increase in risk compared to the same age average): 1. Implement mammography screening at 2-year intervals from the age at which the risk of the average 50-year-old woman is reached (depending on the age at which the 10-year risk reaches N %. and/or 2. Implement mammography screening at 1-year intervals from the age at which the average 50-year-old woman reaches twice the risk level (depending on the age at which the 10-year risk exceeds twice the corresponding age level or for women under 50 from the risk level of 2 x N %, which is twice the risk level for women aged 50 years) 3. Follow general guidelines for reducing the risk of breast cancer (see accompanying recommendations) 4. Discuss the use of breast cancer risk decreasing hormonal chemoprevention (tamoxifen, aromatase inhibitors) with your doctor Variant 4. If the risk has increased more than three times the average (high-risk increase): 1. Implement mammography screening at 2-year intervals from the age at which the risk of the average 50-year-old woman is reached (depending on the age at which the 10-year risk reaches N %) and/or 2. Implement mammography screening at 1-year intervals from the age at which the average 50-year-old woman reaches twice the risk level (depending on the age at which the 10-year risk exceeds twice the corresponding age level or for women under 50 years from the risk level of 2 x N %, which is twice the risk level for women aged 50 years) 3. Follow general guidelines for reducing the risk of breast cancer (see accompanying recommendations) 4. Discuss the use of breast cancer risk decreasing hormonal chemoprevention (tamoxifen, aromatase inhibitors) with your doctor Additional recommendation: magnetic resonance imaging (MRI) is recommended with 1- or 2-year intervals at the age at which the three-fold risk level of the average 50-year-old woman is reached. If the patient's age exceeds the recommended age, the patient's own age is displayed (10-year disease risk is 3 x N %). In addition to the results of polygenic risk score recommendations, the AnteBC test report gives general guidelines for reducing the risk of breast cancer. |
Intervention type | Genetic |
Primary outcome measure | The impact of implementing a population-based genetics testing strategy for breast cancer precision prevention measured using polygenic risk score and monogenic pathogenic variant (MPV) testing. The estimated risk levels (standard deviation units compared to the population average; 10-year risk levels of breast cancer) are calculated by AnteBC® CE IVDD breast cancer polygenic risk score test (Estonian Medical Devices Registry #14726 Antegenes OÜ, Tartu, Estonia) within 6 to 8 weeks after recruitment and submitted to healthcare providers’ information systems (Estonia/Sweden/Portugal), as well as to participants (Estonia). The indication for monogenic pathogenic variant testing is estimated by the corresponding questionnaire completed by participants at recruitment and participants referred to clinical geneticist’s counselling. If MPV is found, the interventions will follow the MPV routine. Otherwise, interventions will be based on polygenic risk score reports. |
Secondary outcome measures | 1. Feasibility of a population-based genetic testing strategy for BC precision prevention measured by participant, medical professional and stakeholder feedback at the end of the clinical study, either risk and intervention reports provided to the participants, or after first interventions including mammography and other imaging/oncology interventions if applicable 2. Clinical utility of a population-based genetic testing strategy for BC precision prevention, measured by clinical outcomes and long-term modelling at the study end. The researchers plan an additional long-term follow-up of the study cohort. The results will be compared to the Estonian Biobank cohort data on regular breast cancer screening cases with extended follow-up data available. 3. Cost-effectiveness of a population-based genetic testing strategy for BC precision prevention measured by cost-efficiency calculations, based on actual interventions and modelled follow-up data at study end |
Overall study start date | 12/04/2022 |
Completion date | 31/12/2025 |
Eligibility
Participant type(s) | Healthy volunteer |
---|---|
Age group | Adult |
Lower age limit | 30 Years |
Upper age limit | 50 Years |
Sex | Female |
Target number of participants | 2250 |
Key inclusion criteria | In Estonia and Portugal: 1. Healthy women aged between 35 and 49 years old (women currently not invited into regular BC screening) In Sweden: 1. Healthy women aged between 30 and 39 years old (women currently not invited into regular BC screening 2. Healthy women aged between 40 and 50 years old (current BC screening group before 50) |
Key exclusion criteria | 1. Women already diagnosed with malignancies or hereditary cancer syndromes 2. Women already tested for MPVs and PRS 3. Ashkenazy Jewish ethnicity |
Date of first enrolment | 01/06/2022 |
Date of final enrolment | 31/12/2024 |
Locations
Countries of recruitment
- Estonia
- Portugal
- Sweden
Study participating centres
Tartu
51014
Estonia
Uppsala
751 85
Sweden
Lisbon
117 1769-001
Portugal
Sponsor information
Government
Mies-van-der-Rohe Str. 1C
Munich
80807
Germany
Phone | +49 160 93 13 6178 |
---|---|
grantmanagement@eithealth.eu | |
Website | https://eithealth.eu/ |
Funders
Funder type
Government
Government organisation / National government
No information available
Results and Publications
Intention to publish date | 31/12/2024 |
---|---|
Individual participant data (IPD) Intention to share | No |
IPD sharing plan summary | Not expected to be made available |
Publication and dissemination plan | 1. Planned publication in a high-impact peer-reviewed journal 2. Various stakeholders will be engaged in creating consensus clinical guidelines |
IPD sharing plan | The datasets generated during and/or analysed during the current study are not expected to be made available due to the privacy protection of the patients and the conditions of the informed consent. The participants have agreed that the data will be used for clinical research, but not for sharing the individual level data with third parties. Full individual-level data will be shared between participating institutions. Additional investigators may be engaged if permitted by Ethics Review Board. Please contact the PI of the BRIGHT study, neeme.tonisson@ut.ee. |
Editorial Notes
04/01/2023: Trial's existence confirmed by the Estonian Council of Bioethics and Human Research.