Joseph A. Sparano, MD, on Early Breast Cancer: Predicting Prognosis and Treatment Benefit in TAILORx
2019 ASCO Annual Meeting
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).
Christopher Sweeney, MBBS, of Dana-Farber Cancer Institute, and Ian D. Davis, MBBS, PhD, of Monash University and Eastern Health, discuss the Australian and New Zealand Urogenital and Prostate Cancer Trials Group, working globally to speed clinical research in and treatment of urogenital cancers.
Amy J. Davidoff, PhD, of Yale University School of Public Health, discusses study findings on how expanding access to Medicaid through the Affordable Care Act (ACA) reduced racial disparities among patients with advanced cancer. Before the ACA was implemented in 2014, black patients with cancer were less likely than white patients to receive timely treatment, but in states that did not adopt Medicaid expansion, racial disparities persist (Abstract LBA1).
Hani M. Babiker, MD, of the The University of Arizona, discusses an emerging treatment that inhibits the mitotic spindle and disrupts tumor cell growth. The method has been approved by the FDA to treat some cancers and data show improved progression-free and overall survival (Abstracts 2055, 8551, e14658, e14668, e15653, e20069, e15766).
François-Xavier Mahon, MD, PhD, of the Université Bordeaux and Institut Bergonie, discusses results of the ENESTop study, which demonstrated the long-term durability and safety of treatment-free remission in chronic-phase CML after second-line nilotinib (Abstract 7005).
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).