Mikkael Sekeres, MD, MS, on MDS and Exposure to Agent Orange
ASH 2025
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).
The ASCO Post Staff
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).
The ASCO Post Staff
Jayastu Senapati, MBBS, of The University of Texas MD Anderson Cancer Center, presents initial results from a phase II trial of brexucabtagene autoleucel as consolidation therapy in front-line high-risk B-cell acute lymphoblastic leukemia (B-ALL) or relapsed/refractory B-ALL after cytoreduction (Abstract 1573).
The ASCO Post Staff
Shahzad Raza, MD, of Cleveland Clinic, presents updated phase II results of the RedirecTT-1 trial, focusing on the efficacy and safety of talquetamab combined with teclistamab in patients with relapsed/refractory multiple myeloma and extramedullary disease (Abstract 698). The study also received simultaneous publication in The New England Journal of Medicine.
The ASCO Post Staff
Nitin Jain, MD, of The University of Texas MD Anderson Cancer Center, reviews findings from a phase II trial of pirtobrutinib, venetoclax, and obinutuzumab for patients with Richter transformation (Abstract 89).
The ASCO Post Staff
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).
