Ari M. Melnick, MD, on Activated B-Cell–Like DLBCL: Gain-of-Function Mutations and Resistance to Ibrutinib
2020 ASH Annual Meeting & Exposition
Ari M. Melnick, MD, of Weill Cornell Medicine, discusses the BCL10 mutation in patients with activated B-cell–like diffuse large B-cell lymphoma, and his study results which showed that the mutation should be considered as a biomarker for ibrutinib resistance so that alternative targeted treatments can be prioritized (Abstract 3).
The ASCO Post Staff
Curtis Lachowiez, MD, of The University of Texas MD Anderson Cancer Center, discusses an interim analysis of a phase Ib/II study showing that venetoclax plus chemotherapy represents an effective regimen, particularly in patients with newly diagnosed and relapsed or refractory acute myeloid leukemia. The regimen appears to be an effective bridge to hematopoietic stem cell transplantation (Abstract 332).
The ASCO Post Staff
Andrew D. Zelenetz, MD, PhD, of Memorial Sloan Kettering Cancer Center, discusses phase II results from a single-center study that explored a novel approach for high-risk patients with mantle cell lymphoma. Among patients with TP53 wild-type disease, the data suggested this treatment was effective (Abstract 119).
The ASCO Post Staff
Meletios A. Dimopoulos, MD, of the University of Athens, discusses data from the phase III APOLLO study, which evaluated the use of subcutaneous daratumumab plus pomalidomide and dexamethasone, vs pomalidomide and dexamethasone alone, in patients with relapsed or refractory multiple myeloma (Abstract 412).
The ASCO Post Staff
Farhad Ravandi, MD, of The University of Texas MD Anderson Cancer Center, offers his expert perspective on key treatment studies in acute myeloid leukemia on the use of gilteritinib, consolidation chemotherapy, venetoclax, cladribine, azacitidine, quizartinib, decitabine, and CPX-351 (Session 616 [Abstracts 24- 29]).
The ASCO Post Staff
Hassan Awada, MD, of the Taussig Cancer Institute, Cleveland Clinic Foundation, discusses the use of newer machine-learning techniques to help decipher a set of prognostic subgroups that could predict survival, thus potentially improving on traditional methods and moving acute myeloid leukemia into the era of personalized medicine (Abstract 34).
