Daniel Kates-Harbeck, MD Candidate, and Nadia Harbeck, MD, PhD, on Personalizing Breast Cancer Management With AI: Novel Approach to Predicting Outcomes
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).
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).
Hope S. Rugo, MD, of the University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, discusses data from the phase II KEYLYNK-009 study, which compared pembrolizumab plus olaparib vs pembrolizumab plus chemotherapy after induction with pembrolizumab plus chemotherapy for patients with locally recurrent inoperable or metastatic triple-negative breast cancer (Abstract GS01-05).
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).
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).
Sherene Loi, MD, PhD, of Australia’s Peter McCallum Cancer Centre, discusses recent data showing that for patients with stage I/II triple-negative breast cancer, 12 weeks of a neoadjuvant nonanthracycline chemotherapy regimen with nivolumab may be efficacious with either concurrent or lead-in nivolumab. Those with immune-enriched tumors had high pathologic complete response rates, identifying a subpopulation for whom a 12-week anthracycline-free chemotherapy regimen with nivolumab may be appropriate (Abstract LBO1-03).