Michael A. Thompson, MD, PhD, on Smoldering Multiple Myeloma: Reassessing Risk Stratification Models
2019 ASCO Annual Meeting
Michael A. Thompson, MD, PhD, of Advocate Aurora Health, discusses the implications of the revised diagnostic criteria for multiple myeloma, which removed patients at the highest risk of disease progression from the smoldering group, and a new model for smoldering disease that incorporates revised cutoffs for the previously used parameters (Abstract 8000).
Jonathan E. Rosenberg, MD, of Memorial Sloan Kettering Cancer Center, discusses results from the phase III Alliance trial, which showed that adding bevacizumab to gemcitabine and cisplatin did not improve overall survival in patients with metastatic urothelial carcinoma, but did improve progression-free survival (Abstract 4503).
Don S. Dizon, MD, of the Lifespan Cancer Institute, and Richard T. Penson, MD, of Massachusetts General Hospital Cancer Center, discuss phase III study findings on the PARP inhibitor olaparib, which showed a significantly higher objective response rate vs nonplatinum chemotherapy for patients with ovarian cancer who relapsed, are platinum-sensitive, and have BRCA-mutant disease (Abstract 5506).
Miriam Knoll, MD, and Zachery Reichert, MD, PhD, discuss the FORCE trial, which is examining whether radiation can create a more durable response to systemic therapy, and whether using newer, more sensitive imaging technologies can improve outcomes (Abstract TPS5096).
Miriam Knoll, MD, of Hackensack University Medical Center, and Richard J. White, DO, of Allegheny Health Network, discuss improved overall survival among younger female patients with non–small cell lung cancer who have a lower comorbidity score, lower grade, private insurance, and treatment with intensity-modulated radiation therapy (Abstract 9024).
Joseph A. Sparano, MD, of the Montefiore Medical Center and Albert Einstein Cancer Center, discusses how clinical risk stratification provides additional prognostic information to the 21-gene recurrence score and may be used to identify premenopausal women for more effective antiestrogen therapy (Abstract 503).
