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
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).
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
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
Adam S. Kittai, MD, of The Ohio State University, discusses his data supporting the use of CAR T-cell therapy for patients with Richter’s transformation. Given the high response rate to CD19 CAR T-cell treatment, along with early relapse in most patients, allogeneic stem cell transplantation at response should also be considered, he says (Abstract 108).
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).
