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
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
Seema Khan, MD, of Northwestern University and the Robert H. Lurie Comprehensive Cancer Center, discusses the 5-year clinical outcomes of ECOG-ACRIN 4112, a prospective trial that supports the omission of radiotherapy after surgery in patients with ductal carcinoma in situ who have a low DCIS score and its use in patients with intermediate/high DCIS scores (Abstract GS03-01).
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).
