Milan Radovich, PhD, on ctDNA After Neoadjuvant Chemotherapy and Recurrence in Triple-Negative Breast Cancer
2019 San Antonio Breast Cancer Symposium
Milan Radovich, PhD, of Indiana University School of Medicine, discusses trial findings that show patients with triple-negative breast cancer who are at high risk of relapse after receiving preoperative chemotherapy can be risk-stratified based on the presence of minimal residual disease as determined by circulating tumor DNA and circulating tumor cells (Abstract GS5-02).
Priyanka Sharma, MD, of the University of Kansas Medical Center, reviews new phase III data on adding oral fluoropyrimidine to adjuvant endocrine therapy, the current standard of care, in the setting of hormone receptor–positive, HER2-negative primary breast cancer (Abstract GS1-09).
Sara M. Tolaney, MD, MPH, of Dana-Farber Cancer Institute, discusses phase II findings on patients receiving T-DM1 monotherapy as adjuvant treatment for stage I HER2-positive breast cancer, a regimen associated with few recurrences in the study population (Abstract GS1-05).
Hongchao Pan, PhD, of the University of Oxford, discusses an analysis of 86,000 women in the Early Breast Cancer Trialists’ Collaborative Group database, which showed that the risk of distant recurrence 20 years after a diagnosis of node-negative, estrogen receptor–negative early-stage breast cancer in women who discontinued endocrine therapy at 5 years is likely to be about a third lower now than in his group’s previous report (Abstract GS2-04).
Joerg Heil, MD, PhD, of the University Hospital Heidelberg, discusses findings on how accurately this technique can diagnose residual disease and pathologic complete response after neoadjuvant chemotherapy in patients with breast cancer. These data may help tailor, de-escalate, and potentially avoid unnecessary surgeries (Abstract GS5-03).
Nicholas C. Turner, MD, PhD, of The Royal Marsden NHS Foundation Trust, discusses findings from the plasmaMATCH trial, which showed that circulating tumor DNA testing offers accurate tumor genotyping to identify patients with rare HER2 and AKT1 mutations and may enable matching them with targeted treatments (Abstract GS3-06).
