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
Sherene Loi, MD, PhD, of Australia’s Peter McCallum Cancer Centre, discusses an exploratory analysis of CheckMate 7FL which showed that patients with PD-L1–positive, high-risk, estrogen receptor–positive, HER2-negative primary breast cancer may achieve substantial pathologic complete response rates with the addition of nivolumab to neoadjuvant chemotherapy (Abstract GS01-01).
The ASCO Post Staff
Oleg Gluz, MD, of the West German Study Group and Breast Center Niederrhein, discusses the impact of age and ovarian function suppression in response to preoperative endocrine treatment for both pre- and postmenopausal patients with early-stage breast cancer. He describes ways in which the outcome data of the ADAPTcycle study might influence clinical decisions (Abstract LBO1-05).
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).
Aditya Bardia, MD, MPH, of Massachusetts General Hospital Cancer Center, discusses updated phase III results from the TROPION-Breast01 study. The data showed an improvement in progression-free survival with datopotamab deruxtecan compared with investigator’s choice of chemotherapy across all subgroups of patients with inoperable or metastatic hormone receptor–positive, HER2-negative breast cancer who have received one to two prior lines of chemotherapy (Abstract GS02-01).
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).
