Aditya Bardia, MD, MPH, on Early-Stage, High-Risk Breast Cancer: New Data on Pembrolizumab Plus Chemotherapy
2023 SABCS
Aditya Bardia, MD, MPH, of Massachusetts General Hospital Cancer Center, discusses phase III findings from the KEYNOTE-756 study, which showed that adding pembrolizumab to chemotherapy increases the pathologic complete response rate and lowers the residual cancer burden in patients with early-stage, high-risk ER-positive or HER2-negative breast cancer (Abstract GS01-02).
The ASCO Post Staff
Amy Tiersten, MD, of the Icahn School of Medicine at Mount Sinai and Tisch Cancer Institute, discusses findings from the ASPIRE trial, which showed the combination of anastrozole, palbociclib, trastuzumab, and pertuzumab in the front-line setting was well tolerated and effective, with a clinical benefit rate of 97% in patients with previously untreated hormone receptor–positive, HER2-positive metastatic breast cancer (Abstract RF02-01).
The ASCO Post Staff
Gabriel N. Hortobagyi, MD, of The University of Texas MD Anderson Cancer Center, discusses findings from the NATALEE trial, which continued to demonstrate improved invasive disease–free survival with ribociclib plus a nonsteroidal aromatase inhibitor (NSAI) over a NSAI alone in patients with hormone receptor–positive, HER2-negative early breast cancer (Abstract GS03-03).
The ASCO Post Staff
Barbara Pistilli, MD, of France’s Gustave Roussy, discusses a phase Ib analysis from the CAPItello-292 study, which showed capivasertib plus palbociclib plus fulvestrant was tolerable at all dose levels in heavily pretreated patients with hormone receptor–positive, HER2-negative advanced breast cancer. As data collection continues, evidence of clinical activity has been observed in patients treated with the recommended phase III dose (Abstract PS12-09).
The ASCO Post Staff
Reshma Jagsi, MD, DPhil, of Emory University Winship Cancer Institute, discusses the IDEA trial of endocrine therapy without radiotherapy after breast-conserving surgery for postmenopausal patients between the ages of 50 and 69 with stage I breast cancer. The regimen demonstrated a low risk of relapse in this population, with a genomic assay used in combination with classic clinical and biological features for treatment selection (Abstract GS02-08).
The ASCO Post Staff
Nadia Harbeck, MD, PhD, of LMU University Hospital and Ludwig Maximilian University of Munich, and Daniel Kates-Harbeck, of the West German Study Group and an MD Candidate at Ludwig Maximilian University of Munich, discuss a learning-based neural network developed by Mr. Kates-Harbeck to predict treatment outcomes in early breast cancer as well as potentially other tumor types (Abstract PO 04 1-10).
