Author Interviews, Biomarkers, Breast Cancer, Genetic Research, Yale / 29.03.2017
Gene Expression-based Breast Cancer Index Can Improve Decision Making For ER+ Patients
MedicalResearch.com Interview with:
Tara Sanft, MD
Assistant Professor of Medicine (Medical Oncology)
Medical Director of Adult Survivorship
Yale Cancer Center Survivorship Clinic
MedicalResearch.com: What is the background for this study?
Response: Previous studies have demonstrated the benefit of extended endocrine therapy (EET) for hormone receptor-positive (HR+) breast cancer in preventing late relapse, however that benefit is limited to 3-5% of women where late recurrence was prevented or staved off. However, EET has become common practice and as a result we are exposing many patients to risks of side effects and toxicities associated with anti-estrogen therapies when they may not be benefitting, and, conversely may not be treating the patients that might actually benefit. There is a real need to better identify the patients who are both at most risk of late distant recurrence, and most likely to benefit from EET.
This prospective study included 141 patients with a mean age of 62. In the study, 83% of patients were postmenopausal, 73% were stage I.
Breast Cancer Index (BCI) is a gene expression-based test and is the only currently available validated biomarker that is both prognostic for late distant recurrence and predictive for likelihood of benefit from EET. The purpose of this prospective study was to assess the impact of BCI on: physician EET recommendations; physician confidence; patient satisfaction, anxiety, and decision-conflict; and the cost impact of BCI.
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