Brian Ball, MD, of City of Hope, presents updated results from the phase I/II BEXMAB study. They showed that the doublet had encouraging activity in patients with TP53-mutant, higher-risk MDS; translational data support the combination regimen’s potential for altering immune dysregulation in this subtype (Abstract 236).
Dory Abelman, PhD(c), HBHSc, of the University of Toronto, discusses findings that support the feasibility of ultradeep cell-free DNA whole-genome sequencing for comprehensive genomic profiling in patients with multiple myeloma, which may be a less invasive alternative to bone marrow biopsy (Abstract 495).
Jennifer Woyach, MD, of The Ohio State University Comprehensive Cancer Center, discusses results from the first head-to-head comparison of pirtobrutinib vs ibrutinib in treatment-naive patients and patients with covalent Bruton tyrosine kinase inhibitor–naive relapsed/refractory chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) (Abstract 683).
Mikkael Sekeres, MD, MS, Chief, Division of Hematology and Professor of Medicine at Sylvester Comprehensive Cancer Center, part of the University of Miami Miller School of Medicine, presents findings from a new study that connects exposure to the herbicide Agent Orange to earlier and more severe cases of myelodysplastic syndromes (MDS). Researchers concluded that exposure is associated with younger age at MDS diagnosis, ultimate MDS diagnosis, genetic complexity of MDS, increased risk of disease progression, and with Black race (Abstract 5626).
Alexander Lesokhin, MD, of Memorial Sloan Kettering Cancer Center, discusses results of a retrospective analysis from the phase II MagnetisMM-3 trial. A post hoc analysis was conducted of the subgroup of patients enrolled in the study who had a prolonged treatment interruption or who permanently discontinued elranatamab and maintained their responses for 6 months or longer (Abstract 2269).
Aaron Gerds, MD, of Cleveland Clinic, reviews results of an evaluation of Synapsis AI, a medically trained, large language model–based end-to-end system, focusing on its accuracy and efficiency in identifying eligible patients for an active phase III polycythemia vera clinical trial (Abstract 4340).
