Bijal D. Shah, MD, of Moffitt Cancer Center and Research Institute, discusses a matching-adjusted indirect comparison of brexucabtagene autoleucel and pirtobrutinib in patients with relapsed or refractory mantle cell lymphoma who have been previously treated with a BTK inhibitor (Abstract 5136).
Mazyar Shadman, MD, MPH, of the University of Washington, discusses new data suggesting that in patients with relapsed large B-cell lymphoma who achieve a complete response, treatment with autologous transplantation may be associated with a lower relapse rate and improved progression-free survival compared with CAR T-cell therapy, including those with early treatment failure (Abstract 781).
Danai Dima, MD, of the Taussig Cancer Institute, Cleveland Clinic, discusses teclistamab-cqyv, a B-cell maturation antigen approved in October 2022 for patients with relapsed or refractory multiple myeloma who have received at least four prior lines of therapy. Dr. Dima and her team evaluated the real-world safety and efficacy of this agent and found encouraging evidence of efficacy in a real-world setting (Abstract 91).
Harinder Gill, MD, MBBS, of The University of Hong Kong, discusses findings showing the use of an “AAA” regimen (pure oral arsenic trioxide combined with all-trans retinoic acid) in a risk-adapted strategy that minimized chemotherapy was highly effective and safe in patients with newly diagnosed acute promyelocytic leukemia of all risk categories and age groups. However, he cautions, early deaths remain an obstacle to realizing a cure for all with this disease (Abstract 157).
Michael Wang, MD, of The University of Texas MD Anderson Cancer Center, discusses phase III results from the Sympatico study, which shows the combination of ibrutinib and venetoclax improved progression-free survival vs ibrutinib plus placebo in patients with relapsed or refractory mantle cell lymphoma. According to Dr. Wang, these findings demonstrate a favorable benefit-risk profile for ibrutinib plus venetoclax in this patient population (Abstract LBA2).
Andrew Srisuwananukorn, MD, of The Ohio State University Comprehensive Cancer Center, discusses a novel artificial intelligence model that can distinguish between prefibrotic primary myelofibrosis and essential thrombocythemia. This proposed model may assist clinicians in identifying patients who may benefit from disease-specific therapies or enrollment in clinical trials (Abstract 901).
