Amy J. Davidoff, PhD, on Racial Disparities in Time to Cancer Treatment: The Effect of Medicaid Expansion
2019 ASCO Annual Meeting
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).
Javier Sastre, MD, PhD, of Hospital Clinico San Carlos, discusses phase III findings on the assessment of circulating tumor cells as a prognostic factor and FOLFOXIRI plus bevacizumab combination outcomes for patients with poor-prognosis colorectal cancer (Abstract 3507).
Panagiotis A. Konstantinopoulos, MD, PhD, of Dana-Farber Cancer Institute, discusses his phase II study on the response to avelumab in microsatellite-stable and -instable recurrent or persistent endometrial cancer with a polymerase epsilon mutation (Abstract 5502).
Edward B. Garon, MD, of the David Geffen School of Medicine at the University of California, Los Angeles, discusses long-term survival data on patients with advanced non–small cell lung cancer treated with pembrolizumab and those with PD-L1 expressed in at least half of their tumor cells (Abstract LBA9015).
Jame Abraham, MD, of the Cleveland Clinic, provides commentary on the NALA study findings on neratinib plus capecitabine vs lapatinib plus capecitabine in patients previously treated with HER2-positive metastatic breast cancer (Abstract 1002).
Matteo Lambertini, MD, PhD, of the University of Genova and Policlinico San Martino Hospital, and Hope S. Rugo, MD, of the University of California, San Francisco, discuss findings from the SOPHIA trial on margetuximab plus chemotherapy vs trastuzumab plus chemotherapy in patients with HER2-positive metastatic breast cancer after prior anti-HER2 therapies (Abstract 1000).
