Aditya Bardia, MD, MPH, on HR-Positive, HER2-Negative Advanced Breast Cancer: New Findings on Datopotamab Deruxtecan vs Chemotherapy
2023 SABCS
Aditya Bardia, MD, MPH, of Massachusetts General Hospital Cancer Center, discusses updated phase III results from the TROPION-Breast01 study. The data showed an improvement in progression-free survival with datopotamab deruxtecan compared with investigator’s choice of chemotherapy across all subgroups of patients with inoperable or metastatic hormone receptor–positive, HER2-negative breast cancer who have received one to two prior lines of chemotherapy (Abstract GS02-01).
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
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
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
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
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).
