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).
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).
Miguel Martín, MD, PhD, of the Gregorio Marañón Institute and GEICAM, discusses phase III study findings that showed no improvement in progression-free survival with palbociclib plus endocrine therapy vs capecitabine in patients with hormone receptor–positive/HER2-negative metastatic breast cancer whose disease progressed on aromatase inhibitors—although the drug combination was generally better tolerated than capecitabine (Abstract GS2-07).
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).
Javier Cortes, MD, PhD, of the IOB Institute of Oncology, discusses study findings that suggested pembrolizumab offered a prolonged survival benefit compared to chemotherapy for a subset of patients with previously treated metastatic triple-negative breast cancer. In the trial, high tumor-infiltrating lymphocytes were significantly associated with better clinical outcomes with the checkpoint inhibitor.
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).
