Joyce V. Lee, PhD, on Triple-Negative Breast Cancer: MYC as a Predictor of Treatment Response
2020 San Antonio Breast Cancer Symposium
Joyce V. Lee, PhD, of the University of California, San Francisco, discusses data that suggest the MYC oncogene may indicate whether a patient with triple-negative breast cancer will respond to immunotherapy. Dr. Lee’s study is the first to describe MYC downregulation of MHC-I and to demonstrate translatable approaches that may overcome immune evasion (Abstract GS1-08).
Nadia Harbeck, MD, of the University of Munich, discusses the first outcome data from the phase III ADAPT HR+/HER– trial, which combined both static and dynamic biomarkers to optimize the adjuvant therapy approach in patients with intermediate- or high-risk luminal early breast cancer (Abstract GS4-04).
Chirag Shah, MD, of the Cleveland Clinic, discusses the impact of DCISionRT testing on radiation therapy recommendations for patients with ductal carcinoma in situ following lumpectomy. His study found that despite using traditional favorable-risk criteria, radiation recommendations were changed in more than 40% of patients (Abstract PS6-17).
In her recent study, Debra A. Pratt, MD, of the Cleveland Clinic, showed that when breast cancer treatment using any of three modalities takes longer than 38 weeks, it is associated with a decrease in survival, regardless of the receptor status. Patients with breast cancer who received neoadjuvant chemotherapy were more likely to take longer than 38 weeks to complete treatment than those undergoing surgery first (Abstract S11-34 ).
Sibylle Loibl, MD, of the German Breast Group, discusses the first phase III results from the PENELOPE-B study of palbociclib combined with endocrine therapy in patients with hormone receptor–positive, HER2-negative primary breast cancer who are at high risk for relapse after neoadjuvant chemotherapy (Abstract GS1-02).
Joseph A. Sparano, MD, of the Montefiore Medical Center and Albert Einstein College of Medicine, discusses the development and validation of a tool that integrates the 21-gene recurrence score and clinicopathologic features to individualize prognosis for distant recurrence and predict chemotherapy benefit in patients with early breast cancer with greater precision (Abstract GS4-10).