BACKGROUND Oncotype DX (ODX) is a genomic assay of tumor tissue that is utilized to predict the likelihood of recurrence and benefit of chemotherapy in breast cancer patients. Five to 10% of breast cancers are hereditary, and hereditary syndromes may not be uncovered through family history alone. We hypothesized that high ODX recurrence score (RS) may signal a potential hereditary cancer risk. PATIENTS AND METHODS We performed a retrospective analysis of data from hormone receptor-positive breast cancer patients who had undergone ODX and germline genetic testing. The chi-square test and Fisher exact test were used to examine univariable association between RS and germline mutation status. Multivariable logistic regression was utilized to examine if there was an association of RS with germline mutation status. RESULTS In univariable analysis, the association of RS with germline mutation status was significant (P < .0001). In the multivariable logistic regression model predicting germline mutation status, RS level remained significantly associated with germline mutation, in particular BRCA1 or BRCA2. The mean RS for those with non-BRCA1/2 germline mutations versus those without germline mutations was not significant (P = .38). CONCLUSION High RS is associated with germline mutation status. Breast cancer patients with high RS are more likely to harbor a mutation in the BRCA1 or BRCA2 genes. If confirmed prospectively, oncologists may consider referring patients with high RS for genetic risk assessment and counseling to inform management plans, as well as counseling of family members.
Relationship Between Hereditary Cancer Syndromes and Oncotype DX Recurrence Score.
N. Casasanta,Sarit T. Kipnis,Laura Linville,S. Lipinski,A. Knoedler,A. Marino,Allision McHenry,T. Biagi,Elizabeth Stark,R. Amdur,N. Denduluri,P. Rodriguez,C. Isaacs,R. Kaltman
Published 2020 in Clinical Breast Cancer
ABSTRACT
PUBLICATION RECORD
- Publication year
2020
- Venue
Clinical Breast Cancer
- Publication date
2020-04-01
- Fields of study
Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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