Study Stopped
Lack of funding
Adding a Genetic Risk Evaluation to Standard Breast Cancer Risk Assessment for African American and Hispanic Women
Genetic Risk Estimation in Breast Cancer and Assessing Health Disparities
2 other identifiers
observational
19
1 country
1
Brief Summary
This study evaluates whether adding a polygenic risk score evaluation to standard breast cancer risk assessment tools helps African American and Hispanic women make more informed decisions about accepting additional breast cancer screening and prevention strategies. Traditional breast cancer risk assessments rely mostly on the presence of standard clinical risk factors including family history, reproductive history, and mammographic breast density. This information can be combined with validated risk estimation models to provide a measure of a patient's 10 year and lifetime risk for breast cancer. A polygenic risk score helps to estimate breast cancer risk in a more individualized way by evaluating a patient's genetics. Adding a polygenic risk score evaluation to traditional screening techniques may help minority women make more informed decisions about screening and prevention strategies for breast cancer.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Mar 2023
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 14, 2023
CompletedFirst Posted
Study publicly available on registry
March 6, 2023
CompletedStudy Start
First participant enrolled
March 14, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedMay 1, 2026
April 1, 2026
2.8 years
February 14, 2023
April 27, 2026
Conditions
Outcome Measures
Primary Outcomes (7)
Whether the addition of an individual polygenic risk score (PRS) to the Breast Cancer Risk Assessment Tool (BCRAT) will improve intentions to adhere to recommended breast cancer screening strategies
Continuous variables will be summarized as mean (standard deviation) or median (range) and categorical variables will be reported as frequency (percentage).
Up to 10 years
Whether the addition of an individual polygenic risk score (PRS) to the Tyrer-Cuzick (IBIS) score will improve intentions to adhere to recommended breast cancer screening strategies
Continuous variables will be summarized as mean (standard deviation) or median (range) and categorical variables will be reported as frequency (percentage).
Up to 10 years
Whether the addition of the PRS to the BCRAT will aid women in deciding whether to take preventative endocrine therapy in women of racial minorities
PRS score will be generated using a statistical model to determine a woman's absolute risk of breast cancer, by adding the PRS to the predictions based on either the BCRAT or IBIS models. Continuous variables will be summarized as mean (standard deviation) or median (range) and categorical variables will be reported as frequency (percentage).
Up to 10 years
Whether the addition of the PRS to the IBIS risk score will aid women in deciding whether to take preventative endocrine therapy in women of racial minorities
PRS score will be generated using a statistical model to determine a woman's absolute risk of breast cancer, by adding the PRS to the predictions based on either the BCRAT or IBIS models. Continuous variables will be summarized as mean (standard deviation) or median (range) and categorical variables will be reported as frequency (percentage).
Up to 10 years
How individualized risk assessment on PRS may alter perceived risk of breast cancer
PRS score will be generated using a statistical model to determine a woman's absolute risk of breast cancer, by adding the PRS to the predictions based on either the BCRAT or IBIS models. Will use the R package Individualized Coherent Absolute Risk Estimators (iCare) a tool that allows researchers to quickly build models for absolute risk and apply them to estimate individuals' risk based on a set of user defined input. Continuous variables will be summarized as mean (standard deviation) or median (range) and categorical variables will be reported as frequency (percentage).
Up to 10 years
How individualized information on PRS may alter perceived risk of breast cancer
The information used to calculate risk based on either the BCRAT or IBIS models accounts for known risk factors other than the PRS, creating a baseline hazard rate for each woman. Continuous variables will be summarized as mean (standard deviation) or median (range) and categorical variables will be reported as frequency (percentage).
Up to 10 years
Long-term cumulative risk of cancer for the at-risk lesion
Kaplan-Meier method will be used to estimate the long-term cumulative risk of cancer for the at-risk lesion.
Up to 10 years
Study Arms (1)
Observational (blood collection, genotyping, surveys)
Patients complete a survey and undergo collection of a blood sample for PRS genotyping at baseline. Patients receive their PRS results and complete another survey 6 weeks to 6 months after baseline and then complete surveys annually over 10 years on study.
Interventions
Undergo collection of blood samples
Undergo genotyping
Eligibility Criteria
African American/Black or Hispanic/Latinx women attending the Mayo Clinic Breast Center.
You may qualify if:
- Women who self-identify as African American/Black or Hispanic/Latinx
- Women \>= 30 years old and =\< 75 years old
- Women with any of the following:
- IBIS (Tyrer-Cuzik) score of \>= 5% for the 10 year risk OR
- BCRAT (Gail Model) score of \> 3 % for the 5 year risk
- History of biopsy proven atypical ductal hyperplasia or atypical lobular hyperplasia (with risk calculator assessment A and B)
- History of biopsy proven lobular carcinoma in situ (with risk calculator assessment A and B)
- Able to participate in all aspects of the study
- Understand and signed the study informed consent
You may not qualify if:
- Women whose calculated risk for breast cancer falls below the threshold
- Unable to give informed consent
- Prior history of invasive breast cancer, ductal carcinoma in situ or other breast cancers
- Women who are pregnant or breastfeeding
- Prior use of prevention drugs for longer than 6 months
- Prior risk reducing or prophylactic mastectomy
- Known pathogenic genetic mutation linked to breast cancer (such as BRCA 1/2, PALB2, ATM, CHEK2)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Mayo Cliniclead
Study Sites (1)
Mayo Clinic in Florida
Jacksonville, Florida, 32224-9980, United States
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Sabrina Sahni, M.D.
Mayo Clinic
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 14, 2023
First Posted
March 6, 2023
Study Start
March 14, 2023
Primary Completion
December 31, 2025
Study Completion
December 31, 2025
Last Updated
May 1, 2026
Record last verified: 2026-04