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).
Hope S. Rugo, MD, of the University of California San Francisco Comprehensive Cancer Center, discusses trial data on margetuximab plus chemotherapy, which improved progression-free survival in patients with previously treated HER2-positive metastatic breast cancer when compared with trastuzumab plus chemotherapy. Maturing data comparing overall survival also provides new insights (Abstract GS1-02).
Rowan T. Chlebowski, MD, PhD, of the Lundquist Institute at Harbor-UCLA Medical Center, discusses the long-term influence of using estrogen plus progestin or estrogen alone on breast cancer incidence and mortality (Abstract GS5-00).
Tari A. King, MD, of Brigham and Women’s Hospital and Dana-Farber/ Brigham and Women’s Cancer Center, discusses retrospective findings from the AURORA U.S. Network on molecular differences between primary tumors and metastases, a better understanding of which may help lead to more effective treatment of metastatic breast cancer (Abstract GS3-08).
Hope S. Rugo, MD, of the University of California San Francisco Comprehensive Cancer Center, discusses a retrospective analysis on the effectiveness of the VENTANA PD-L1 SP142 assay, the Dako 22C3 assay, and the VENTANA SP263 assay as predictors of response to atezolizumab plus nab-paclitaxel in patients with metastatic triple-negative breast cancer (Abstract PD1-07).
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).
