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).
Gerardo Antonio Umanzor Funez, MD, of Liga Contra El Cáncer, discusses phase III findings on intravenous (IV) paclitaxel and oral paclitaxel plus encequidar (a novel P-gp inhibitor), the first orally administered taxane regimen shown to be superior to the IV formulation in terms of response and survival with less neuropathy (Abstract GS6-01).
Joseph Sparano, MD, of the Montefiore Medical Center, discusses three challenges:
- How can gene-expression profiles and other diagnostic tests be used to guide the use of adjuvant systemic therapy?
- Is it time to reappraise active surveillance?
- Are there diagnostic and therapeutic strategies that can identify tumors at highest risk of metastasis, and novel therapies that can block the spread of disease?
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).
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).
