Individualized Chemotherapy Benefit Prediction by EndoPredict in Patients With Early Breast Cancer in an Indian Cohort

Abstract

PURPOSE There are new advancements in the modulation of the treatment of patients with early-stage breast cancer, including the use of several molecular profiling tests to identify or select those patients who require additional adjuvant chemotherapy together with hormonal therapy on the basis of a recurrence score. One such tool is EndoPredict (Myriad Genetics; Salt Lake City, UT), which provides support in clinical decision making. The objective of this analysis was to study the landscape of absolute chemotherapy benefit and the likelihood of recurrence within 5 to 15 years in Indian patients with breast cancer who are undergoing EndoPredict testing. PATIENTS AND METHODS This study included 308 patients with hormone-positive, human epidermal growth factor receptor 2–negative early breast cancer. Their postsurgical blocks were analyzed using the EndoPredict test. The MEDCALC statistical tool (Panum Education; Seoul, Republic of Korea) was used to estimate the correlation coefficient and to conduct multiple regression analysis. RESULTS On the basis of the EndoPredict EPclin Risk Score, 52.12% of patients were classified as being in the low-risk category and could safely forgo adjuvant chemotherapy. For every unit increase in the EPclin Risk Score, the percentage increase in absolute chemotherapy benefit was 6.82%. Similarly, the correlation between the likelihood of recurrence within 5 to 15 years and the EPclin Risk Score suggested that there is a 10.34% increase in recurrence for each unit of EPclin Risk Score. CONCLUSION The EPclin Risk Score has good prognostic and predictive power; it also provides the range of chemotherapy benefit for Indian patients.