Musa Yilmaz, MD, of The University of Texas MD Anderson Cancer Center, discusses study results suggesting that quizartinib with decitabine and venetoclax is active in patients with FLT3-ITD–mutated acute myeloid leukemia and that RAS/MAPK mutations continue to drive primary and secondary resistance (Abstract 370).
Nikhil C. Munshi, MD, PhD, of Dana-Farber Cancer Institute, discusses the findings from a large nationwide Veterans Affairs study, which showed that, for patients with multiple myeloma, the effectiveness of the COVID-19 vaccine is reduced, likely due to patients’ immunosuppression. Dr. Munshi describes what next steps should be taken (Abstract 400).
Paolo Ghia, MD, PhD, of the Università Vita-Salute San Raffaele and IRCCS Ospedale San Raffaele, discusses disease-free survival results from the measurable residual disease cohort of the phase II CAPTIVATE trial. This multicenter trial focuses on first-line ibrutinib plus venetoclax in patients with chronic lymphocytic leukemia (Abstract 68).
Tarek H. Mouhieddine, MD, of The Mount Sinai Hospital and The Icahn School of Medicine at Mount Sinai, discusses data that suggest patients with heavily pretreated, predominantly triple-class refractory multiple myeloma who relapse after treatment with bispecific antibodies may still have good outcomes when sequentially treating with other immunologic treatments (Abstract 821).
Sangeetha Venugopal, MD, of The University of Texas MD Anderson Cancer Center, discusses a retrospective analysis of 562 patients with treated secondary acute myeloid leukemia and prior exposure to hypomethylating agents (HMAs). The results showed that an HMA plus venetoclax yielded significantly higher overall response rates and improved overall survival compared with intensive chemotherapy or low-intensity chemotherapy, particularly in patients 60 years or older who had a karyotype without adverse risk (Abstract 794).
Joe Schroers-Martin, MD, of Stanford University, discusses his latest study findings, which show that follicular lymphoma driver mutations are detectable in blood and saliva years prior to a clinical diagnosis. These data build on previous work and suggest that researchers may be able to stratify people at elevated risk of clinical malignancy (Abstract 709).
