Ariella B. Hanker, PhD, on Therapeutic Implications of HER2 and HER3 Mutations in Breast Cancer
2019 San Antonio Breast Cancer Symposium
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).
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).
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).
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).
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).
Belinda Kingston, MB ChB, of the Institute of Cancer Research London, discusses next-generation sequencing results from the plasmaMATCH trial, including the incidence of gene alterations overall, as well as the associations with clinical and pathologic features that may help direct treatment decisions (Abstract GS3-07).