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Updated: Jul 25, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Integration of Genetic Testing and Counseling in Patients With Breast Cancer in a Large, Multisite Community-Based
Molly A Mendenhall1, Andrew Guinigundo2, Dan Davies1
1Oncology Hematology Care (OHC), Cincinnati, OH.
Purpose:
Despite data-driven consensus recommendations, there remains significant nonadherence to genetic screening and testing. More than 300,000 patients are diagnosed with breast cancer annually, with one third of these estimated to be eligible for homologous recombination deficiency (HRD)/BRCA testing following National Comprehensive Cancer Network (NCCN) guidelines. Only 35% of eligible patients are referred for genetic counseling.
Methods:
The goal of this project was to apply NCCN guidelines for germline genetic testing to all new patients with breast cancer within a large community oncology practice to improve HRD/BRCA testing. Plan-Do-Study-Act methodology was used, and cycles were built on a proven teaching infrastructure. In cycle 1, providers were educated and directed to use electronic health record (EHR) templates in the setting of an initial diagnosis visit and treatment planning. Discreet data fields were created in the EHR during cycle 2 to streamline and automate the process. Appropriate patients were referred to the genetics team for further evaluation, counseling, and testing. Adherence to the plan was maintained and measured using data analytic reports and chart audits.
Results:
Of the 1,203 patients with breast cancer eligible for inclusion, 1,200 (99%) were screened according to NCCN guidelines. Of the screened patients, 631 (52.5%) met the referral/testing criteria. In total, 585 (92.7%) of the 631 were referred to a genetic specialist. Seven percent had previous referrals. A total of 449 (71%) patients were acceptable to genetics referral while 136 (21.5%) patients refused.
Conclusion:
The implemented methods of education, NCCN guidelines imbedded within provider notes, and discreet data fields in the EHR have proven to be highly effective in screening appropriate patients and ordering subsequent genetic referrals.
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