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
Daniel G. Stover, MD, of The Ohio State University Comprehensive Cancer Center, discusses a biomarker analysis from the PALLAS adjuvant trial, which compared 2 years of the CDK4/6 inhibitor palbociclib with endocrine therapy vs endocrine therapy alone, as adjuvant treatment for patients with stage II–III hormone receptor–positive, HER2-negative breast cancer. The genomic subtype PAM50 was defined in the protocol of the PALLAS trial as the primary biomarker for analysis of prediction and prognosis (Abstract GS03-07).
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
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).
The ASCO Post Staff
Hope S. Rugo, MD, of the University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, discusses data from the phase II KEYLYNK-009 study, which compared pembrolizumab plus olaparib vs pembrolizumab plus chemotherapy after induction with pembrolizumab plus chemotherapy for patients with locally recurrent inoperable or metastatic triple-negative breast cancer (Abstract GS01-05).
