Reshma Jagsi, MD, DPhil, on Early-Stage Breast Cancer: 5-Year Outcomes With Endocrine Therapy and Breast-Conserving Surgery
2023 SABCS
Reshma Jagsi, MD, DPhil, of Emory University Winship Cancer Institute, discusses the IDEA trial of endocrine therapy without radiotherapy after breast-conserving surgery for postmenopausal patients between the ages of 50 and 69 with stage I breast cancer. The regimen demonstrated a low risk of relapse in this population, with a genomic assay used in combination with classic clinical and biological features for treatment selection (Abstract GS02-08).
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
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).
