William G. Wierda, MD, PhD, on Use of Pirtobrutinib for Richter Transformation: Updated Efficacy and Safety Results
2023 ASH
William G. Wierda, MD, PhD, of The University of Texas MD Anderson Cancer Center, discusses results from the phase I/II BRUIN study, which shows encouraging response and overall survival in patients with Richter transformation. Although this condition remains a challenging diagnosis, pirtobrutinib represents a potential treatment option that warrants further investigation, according to Dr. Wierda (Abstract 1737).
The ASCO Post Staff
Jeffrey E. Rubnitz, MD, PhD, of St. Jude Children’s Research Hospital, discusses study findings suggesting that pharmacogenomic differences between Black and White patients should be considered when tailoring induction regimens to improve outcomes of all patients and bridge the racial disparity gap in acute myeloid leukemia treatment (Abstract 386).
The ASCO Post Staff
Mikkael A. Sekeres, MD, of the Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, reviews key abstracts from ASH 2023 on treatment of myelofibrosis, chronic lymphocytic leukemia, large B-cell lymphoma, and acute myeloid leukemia (Abstracts 620, 631, 781, 425).
The ASCO Post Staff
Jonathon B. Cohen, MD, of Winship Cancer Institute, Emory University, discusses safety and efficacy findings from the phase I/II BRUIN study. The trial found that pirtobrutinib continues to demonstrate durable efficacy and a favorable safety profile in heavily pretreated patients with relapsed or refractory mantle cell lymphoma (Abstract 981).
The ASCO Post Staff
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).
The ASCO Post Staff
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).
