Josh Neman, PhD, of the Keck School of Medicine, University of Southern California, discusses the distribution of brain metastasis to preferential brain regions that vary according to cancer subtype, how neurotransmitters respond, and the ways in which the central nervous system acclimates (Abstract SY32).
Electra D. Paskett, PhD, of The Ohio State University, discusses various factors that may contribute to cancer such as socioeconomic status, discrimination, violence, and access to health care. When clinicians identify these factors and intervene with access to services, it may be possible to improve outcomes for their patients (Abstract SY33).
Christine A. Iacobuzio-Donahue, MD, PhD, of Memorial Sloan Kettering Cancer Center, discusses her research on the evolutionary features of advanced stage pancreatic cancers and the insights that may be used to help improve patient outcomes (Abstract PL05).
Nicolas Girard, MD, PhD, of the Institut Curie, discusses findings from the phase III CheckMate 816 trial, which is the first study with an immunotherapy-based combination to demonstrate improved event-free survival and pathologic complete response in the neoadjuvant setting for patients with resectable stage IB to IIIA non–small cell lung cancer. The results may benefit the 30% to 55% of patients whose cancer recurs after surgery (Abstract CT012).
Tina Cascone, MD, PhD, of The University of Texas MD Anderson Cancer Center, discusses the findings of the phase II NeoCOAST study, which showed that combination immunotherapy with the anti–PD-L1 monoclonal antibody durvalumab and other novel agents resulted in numerically higher major pathologic response rates than durvalumab alone in the neoadjuvant setting for patients with early-stage resectable non–small cell lung cancer. Translational results also supported combination therapies over single-agent therapy (Abstract CT011).
Charles L. Sawyers, MD, of Memorial Sloan Kettering Cancer Center, discusses the battle against treatment resistance and how to overcome it, as well as the power of observational clinical data in precision oncology, derived largely from his experience with Project GENIE, and the role of genetic ancestry (Abstract PL02).
