Brian Ball, MD, on Higher-Risk MDS: Bexmarilimab and Azacitidine
ASH 2025
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).
The ASCO Post Staff
Amir Fathi, MD, of Massachusetts General Hospital, discusses data from the phase II PARADIGM trial, which prospectively tested whether azacitidine plus venetoclax was superior to intensive induction chemotherapy in fit patients with newly diagnosed acute myeloid leukemia (AML)—and could challenge the current treatment standard (Abstract 6).
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
Ibrahim Aldoss, MD, of City of Hope, presents findings from a small, single-center study of patients aged 55 years and older with B-cell acute lymphoblastic leukemia (ALL) in first complete remission who were treated with CD19-directed CAR T-cell therapy. Researchers found the therapy was safe, resulted in low-grade adverse events, and led to preliminary durable measurable residual disease response (Abstract 443).
The ASCO Post Staff
Karthik Ramasamy, MBBS, FRCP, FRCPath, PhD, of the University of Oxford, discusses initial results of the phase II/III UK-based RADAR trial. The study evaluated isatuximab, bortezomib, lenalidomide, dexamethasone, and cyclophosphamide induction, followed by single autologous stem cell transplant, consolidation with isatuximab plus bortezomib, lenalidomide, and dexamethasone, and isatuximab plus lenalidomide maintenance, in patients with double-hit multiple myeloma (Abstract 98).
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).