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Updated: Jun 25, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Screening for Breast Cancer Risk: An Analysis of Under-recognized Risk Factors and Comparison of Interventions
Mary Wolf1, Rebecca L Vanderveken2, Gabriela Rodriguez3
1Geisinger Medical Center, Danville, PA, USA.
Abstract:
Recognition of patients at high risk (HR) for breast cancer allows earlier screening and opportunities for risk reduction. We compare patients referred to our breast clinic as HR vs referrals for other reason (ROR) and found to be HR. We evaluate under-recognized factors and treatment differences. A retrospective chart review of patients found to be HR but referred for any reason to our breast clinic from July 2012 to December 2022 was performed. Referral reason, demographics, hormonal history, family history, and other risk factors were evaluated and compared (HR vs ROR). While other risk models were used for screening, Gail and Tyrer-Cuzick version 7 (TCv7) were used for comparison. Breast imaging received, hormonal therapy, and genetics referral evaluations were compared. 195 patients were referred to our breast team, 113 (58%) were referred as HR while 82 (42%) were ROR. Average age was 47 years old. 175 (91%) were Caucasian. 74 (65.5%) were referred for genetic testing, and 32 (26%) tested positive for a genetic mutation (n = 10, 12% ROR). 67 (35%) were recommended chemoprevention (n = 32, 16.4% took chemoprevention). 6 (3.1%) underwent prophylactic mastectomies and 163 (85%) had supplemental breast imaging. Comparison of HR vs ROR did not show significant differences in hormonal factors or treatments received; however, TCv7 was higher in the group referred as HR (P < .001). Our study showed that HR patients are more commonly referred secondary to family history but undergo similar treatments as those ROR. Accessibility to screening tools and education of risk factors, especially in minorities and those not otherwise being screened, may help better recognize HR.
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