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).
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).
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).
Hamish S. Scott, PhD, and Chris Hahn, PhD, both of Australia’s SA Pathology and Centre for Cancer, discuss ERG, a new predisposition gene for bone marrow failure and hematologic malignancy. Identifying causal germline ERG variants has direct clinical implications for diagnosis, counseling, surveillance, and treatment strategies, according to Drs. Scott and Hahn (Abstract LBA5).
Darren Denjay Pan, MD, of Tisch Cancer Institute and the Icahn School of Medicine at Mount Sinai, discusses his findings on risk assessment of CAR T-cell therapy for patients with multiple myeloma. Higher fibrinogen and ferritin values at baseline were associated with inferior overall survival after CAR T-cell therapy, even after controlling for tumor burden. Higher baseline absolute lymphocyte count was also associated with higher risk and grade of immune effector cell–associated neurotoxicity syndrome, an important toxicity to consider for patients receiving CAR T (Abstract 92).
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).
