Hope S. Rugo, MD, on Metastatic Triple-Negative Breast Cancer: Retrospective Analysis of PD-L1 Immunohistochemistry Assays
2019 San Antonio Breast Cancer Symposium
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).
Ariella B. Hanker, PhD, of UT Southwestern Medical Center, discusses data showing that breast cancers expressing co-occurring HER2 and HER3 mutations may require the addition of a phosphoinositide 3-kinase alpha inhibitor to a HER2 tyrosine kinase inhibitor (Abstract GS6-04).
Madeleine M.A. Tilanus-Linthorst, MD, PhD, of Erasmus University, reports data from the first randomized trial comparing MRI breast cancer screening with mammography in women with a familial risk. Because MRI screening detected cancer at an earlier stage, it might reduce the use of adjuvant chemotherapy and decrease breast cancer–related mortality (Abstract GS4-07).
Luca Gianni, MD, of the Fondazione Michelangelo, discusses findings from the NeoTRIP trial on pathologic complete response to neoadjuvant treatment with or without atezolizumab in triple-negative, early high-risk, and locally advanced breast cancer (Abstract GS3-04).
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).
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).
