Oleg Gluz, MD, on Response to Endocrine Therapy: Findings From the ADAPTcycle Trial
2023 SABCS
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
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
Eleftherios P. Mamounas, MD, of Orlando Health Cancer Institute, discusses primary outcomes from the NRG Oncology/NSABP B-51/RTOG 1304 study of locoregional irradiation in patients with biopsy-proven axillary node involvement at presentation who become pathologically node-negative after neoadjuvant chemotherapy (Abstract GS02-07).
The ASCO Post Staff
Luca Gianni, MD, of Milan’s Fondazione Michelangelo, discusses findings from the APTneo Michelangelo trial, which showed that adding atezolizumab to chemotherapy and trastuzumab plus pertuzumab did not significantly increase the rate of pathologic complete response (pCR) in women with HER2-positive breast cancer. An exploratory analysis showed that adding atezolizumab to neoadjuvant anthracycline and cyclophosphamide followed by HPCT (trastuzumab + pertuzumab and chemotherapy) led to higher pCR rates than HPCT and atezolizumab (Abstract LBO1-02).
The ASCO Post Staff
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
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).
