Peter Schmid, MD, PhD, on Early-Stage TNBC: Updated Survival Results From KEYNOTE-522
2023 SABCS
Peter Schmid, MD, PhD, of Queen Mary University of London and Barts Cancer Institute, discusses phase III findings from KEYNOTE-522 showing that neoadjuvant pembrolizumab plus chemotherapy followed by adjuvant pembrolizumab continues to show a clinically meaningful improvement in event-free survival compared with neoadjuvant chemotherapy alone in patients with early-stage triple-negative breast cancer (TNBC) (Abstract LBO1-01).
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
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
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
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
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).
