NCT05755269

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

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
19

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Mar 2023

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
terminated

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

Completed
20 days until next milestone

First Posted

Study publicly available on registry

March 6, 2023

Completed
8 days until next milestone

Study Start

First participant enrolled

March 14, 2023

Completed
2.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2025

Completed
Last Updated

May 1, 2026

Status Verified

April 1, 2026

Enrollment Period

2.8 years

First QC Date

February 14, 2023

Last Update Submit

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.

Procedure: Biospecimen CollectionProcedure: GenotypingOther: Survey Administration

Interventions

Undergo collection of blood samples

Also known as: Biological Sample Collection, Biospecimen Collected, Specimen Collection
Observational (blood collection, genotyping, surveys)
GenotypingPROCEDURE

Undergo genotyping

Also known as: GENOTYPE, Genotype Analysis, Genotype Assay
Observational (blood collection, genotyping, surveys)

Complete surveys

Observational (blood collection, genotyping, surveys)

Eligibility Criteria

Age30 Years - 75 Years
Sexfemale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

Study Sites (1)

Mayo Clinic in Florida

Jacksonville, Florida, 32224-9980, United States

Location

Related Links

MeSH Terms

Conditions

Carcinoma, Intraductal, NoninfiltratingBreast NeoplasmsBreast Carcinoma In Situ

Interventions

Specimen HandlingGenotype

Condition Hierarchy (Ancestors)

AdenocarcinomaCarcinomaNeoplasms, Glandular and EpithelialNeoplasms by Histologic TypeNeoplasmsCarcinoma in SituNeoplasms, Ductal, Lobular, and MedullaryNeoplasms by SiteBreast DiseasesSkin DiseasesSkin and Connective Tissue Diseases

Intervention Hierarchy (Ancestors)

Clinical Laboratory TechniquesDiagnostic Techniques and ProceduresDiagnosisInvestigative TechniquesGenetic Phenomena

Study Officials

  • Sabrina Sahni, M.D.

    Mayo Clinic

    PRINCIPAL INVESTIGATOR

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

Locations