Jonathon B. Cohen, MD, on Mantle Cell Lymphoma: New Data on Pirtobrutinib
2023 ASH
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
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).
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
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
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
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).