Amer Zeidan, MBBS, of Yale School of Medicine, discusses findings from an analysis of the IMerge trial, which explored the possible association between imetelstat-related cytopenias and hemoglobin increase—a measure linked to red blood cell transfusion independence achievement—in patients with lower-risk myelodysplastic syndromes (MDS) (Abstract 490).
The telomerase inhibitor imetelstat was approved for the treatment of certain patients with lower-risk myelodysplastic syndromes (MDS) based on the results of the phase III IMerge trial. Valeria Santini, MD, of the University of Florence, provides updates on secondary endpoints, including overall and progression-free survival; progression to acute myeloid leukemia; safety; and long-term outcomes by subgroups of interest in IMerge, as well as ad hoc outcomes, including overall survival by response (Abstract 2074).
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.
Amer Zeidan, MBBS, of Yale School of Medicine, shares results from the phase I/II BEXMAB study, which examined the safety, tolerability and preliminary efficacy of bexmarilimab—a novel macrophage checkpoint inhibitor targeting Clever-1—in combination with the standard of care, azacitidine, in patients with higher-risk myelodysplastic syndromes (MDS), including those with TP53-mutated disease. (Abstract 236).
Anand Patel, MD, of the University of Chicago, discusses results from a phase II trial that showed tyrosine kinase inhibitor plus inotuzumab ozogamicin–based therapy resulted in major molecular response in patients newly diagnosed with Philadelphia chromosome (Ph)-positive acute lymphoblastic leukemia (ALL) (Abstract 441).
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).
