Joann G. Elmore, MD, MPH, of the UCLA Fielding School of Public Health, discusses previous studies that show wide variability in cancer diagnoses, the uncertainties introduced by computer-aided detection tools, and new research on artificial intelligence and machine learning that may lead to more consistent and accurate diagnoses and prognoses, potentially improving treatment (Abstract SY01-03).
Richard S. Finn, MD, of UCLA Medical Center, discusses updated efficacy and safety data from the IMbrave150 trial of patients receiving atezolizumab plus bevacizumab vs sorafenib as first-line treatment for unresectable hepatocellular carcinoma (Abstract CT009).
Rita Nanda, MD, of the University of Chicago, discusses the latest data on novel treatment strategies for triple-negative breast cancer, including immune checkpoint, PARP, and ATK inhibitors; antibody-drug conjugates; and targeting the androgen receptor.
Charlotte E. Ariyan, MD, PhD, of Memorial Sloan Kettering Cancer Center, discusses improved outcomes with metastasectomy in the setting of checkpoint inhibitors, with the removal of residual disease and “escape” lesions. Surgical outcomes may also be better than targeted treatments, although long-term data and biomarkers are needed to confirm these findings.
Linda T. Vahdat, MD, MBA, of Memorial Sloan Kettering Cancer Center, discusses results of a phase II trial designed to test the concept that targeting the tumor microenvironment by depleting copper may prevent metastases, essentially disrupting the infrastructure that contributes to tumor spread.