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
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).
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
Ibrahim Aldoss, MD, of City of Hope National Medical Center, discusses phase II safety and efficacy results from the Augment-101 study. This trial showed that patients with heavily pretreated, relapsed or refractory KMT2-rearranged acute leukemia benefited from monotherapy with the menin-KMT2A inhibitor revumenib, with high overall response rates and undetectable measurable residual disease (Abstract LBA-5).
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
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).