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).
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).
Marie-Jeanne T.F.D. Vrancken Peeters, MD, PhD, of the Netherlands Cancer Institute, discusses an interim study analysis showing that ultrasound-guided core biopsies of the breast in patients with excellent response on MRI after neoadjuvant systemic therapy may not be accurate enough to safely select patients with pathologic complete response for omission of surgery (Abstract GS5-06).
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).
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).
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).