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
Sarah C. Rutherford, MD, of Weill Cornell Medicine, discusses findings of the SWOG S1826 study, which showed nivolumab plus AVD (doxorubicin, vinblastine, and dacarbazine) improved progression-free and event-free survival and seemed to be better tolerated than brentuximab vedotin plus AVD in patients aged 60 and older with advanced-stage Hodgkin lymphoma (Abstract 181).
The ASCO Post Staff
Pieter Sonneveld, MD, PhD, of the Netherland’s Erasmus MC Cancer Institute, discusses primary results from the Perseus trial, showing that for patients with newly diagnosed multiple myeloma who are eligible for transplantation, the combination of daratumumab plus bortezomib, lenalidomide, and dexamethasone, followed by daratumumab and lenalidomide maintenance, may be a new standard of care (Abstract LBA1).
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
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
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).
