Adding a Genetic Risk Evaluation to Standard Breast Cancer Risk Assessment for African American and Hispanic Women

Sponsor
Mayo Clinic (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05755269
Collaborator
(none)
50
1
118.2
0.4

Study Details

Study Description

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.

Condition or Disease Intervention/Treatment Phase
  • Procedure: Biospecimen Collection
  • Procedure: Genotyping
  • Other: Survey Administration

Detailed Description

PRIMARY OBJECTIVES:
  1. To explore if the addition of an individual polygenic risk score (PRS) to the Breast Cancer Risk Assessment Tool (BCRAT) or Tyrer-Cuzick (IBIS) score will improve intentions to adhere to recommended breast cancer screening strategies such as mammography, magnetic resonance imaging (MRI), or molecular breast Imaging in women of underserved racial minorities.

  2. To explore if the addition of the PRS to the BCRAT or IBIS risk score will aid women in deciding whether to take preventative endocrine therapy in women of racial minorities.

  3. To understand how individualized risk assessment and information on PRS may alter perceived risk of breast cancer.

  4. To follow this cohort of women over 10 years to determine subsequent outcomes in regards to diagnoses of at-risk lesions or cancer.

OUTLINE: This is an observational study.

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.

Study Design

Study Type:
Observational
Anticipated Enrollment :
50 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Genetic Risk Estimation in Breast Cancer and Assessing Health Disparities
Anticipated Study Start Date :
Mar 10, 2023
Anticipated Primary Completion Date :
Jan 15, 2033
Anticipated Study Completion Date :
Jan 15, 2033

Arms and Interventions

Arm Intervention/Treatment
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 Collection
Undergo collection of blood samples
Other Names:
  • Biological Sample Collection
  • Biospecimen Collected
  • Specimen Collection
  • Procedure: Genotyping
    Undergo genotyping
    Other Names:
  • GENOTYPE
  • Genotype Analysis
  • Genotype Assay
  • Other: Survey Administration
    Complete surveys

    Outcome Measures

    Primary Outcome Measures

    1. 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 [Up to 10 years]

      Continuous variables will be summarized as mean (standard deviation) or median (range) and categorical variables will be reported as frequency (percentage).

    2. 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 [Up to 10 years]

      Continuous variables will be summarized as mean (standard deviation) or median (range) and categorical variables will be reported as frequency (percentage).

    3. 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 [Up to 10 years]

      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).

    4. 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 [Up to 10 years]

      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).

    5. How individualized risk assessment on PRS may alter perceived risk of breast cancer [Up to 10 years]

      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).

    6. How individualized information on PRS may alter perceived risk of breast cancer [Up to 10 years]

      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).

    7. Long-term cumulative risk of cancer for the at-risk lesion [Up to 10 years]

      Kaplan-Meier method will be used to estimate the long-term cumulative risk of cancer for the at-risk lesion.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    30 Years to 75 Years
    Sexes Eligible for Study:
    Female
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • 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

    Exclusion Criteria:
    • 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)

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Mayo Clinic in Florida Jacksonville Florida United States 32224-9980

    Sponsors and Collaborators

    • Mayo Clinic

    Investigators

    • Principal Investigator: Lauren F Cornell, Mayo Clinic

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Mayo Clinic
    ClinicalTrials.gov Identifier:
    NCT05755269
    Other Study ID Numbers:
    • MC220303
    • NCI-2022-10133
    First Posted:
    Mar 6, 2023
    Last Update Posted:
    Mar 6, 2023
    Last Verified:
    Feb 1, 2023
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Mar 6, 2023