Harinder Gill, MD, MBBS, on Acute Promyelocytic Leukemia: Assessing the Use of Oral Arsenic Trioxide, Retinoic Acid, and Ascorbic Acid
2023 ASH
Harinder Gill, MD, MBBS, of The University of Hong Kong, discusses findings showing the use of an “AAA” regimen (pure oral arsenic trioxide combined with all-trans retinoic acid) in a risk-adapted strategy that minimized chemotherapy was highly effective and safe in patients with newly diagnosed acute promyelocytic leukemia of all risk categories and age groups. However, he cautions, early deaths remain an obstacle to realizing a cure for all with this disease (Abstract 157).
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
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
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
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).
