Search

Despite the use of midostaurin (MIDO) with intensive chemotherapy (ICT) as the front-line treatment for FLT3-mutated acute myeloid leukemia (AML), complete remission rates are close to 60-70%, and relapses occur in over 40% of cases. Here we studied the molecular mechanisms underlying refractory/relapsed (R/R) situation in FLT3-mutated AML patients. We conducted a retrospective and multicenter study involving 150 patients with R/R AML harboring FLT3-ITD (n=130) and/or FLT3-TKD (n=26) at diagnosis assessed by standard methods. Patients were treated in front-line with ICT + MIDO (n=54) or ICT alone (n=96) according to the diagnosis date and label of MIDO. The evolution of FLT3 clones and co-mutations was analyzed in paired diagnosis-R/R samples by targeted high-throughput sequencing. Using a dedicated algorithm for FLT3-ITD detection, 189 FLT3-ITD microclones (allelic ratio [AR] < 0.05) and 225 macroclones (AR ≥ 0.05) were detected at both time points. At R/R disease, the rate of FLT3-ITD persistence was lower in patients treated with ICT + MIDO compared with patients not receiving MIDO (68% vs. 87.5%, P=0.011). In patients receiving ICT + MIDO, detection of multiple FLT3-ITD clones (referred to as "clonal interference") was associated with a higher FLT3-ITD persistence rate at R/R disease (multiple clones: 88% vs. single clones: 57%, P=0.049). Considering both treatment groups, if only 24% of FLT3-ITD microclones detected at diagnosis were retained at relapse, 43% of them became macroclones. Together, these results identify parameters influencing the fitness of FLT3-ITD clones and highlight the importance of using sensitive techniques for FLT3--ITD screening in clinical practice., (Copyright © 2024 American Society of Hematology.)

The ongoing or anticipated therapeutic advances as well as previous experience in other malignancies, including acute myeloid leukaemia, have made molecular monitoring a potential interesting tool for predicting outcomes and demonstrating treatment efficacy in patients with myelodysplastic syndromes (MDS). The important genetic heterogeneity in MDS has made challenging the establishment of recommendations. In this context, high-throughput/next-generation sequencing (NGS) has emerged as an attractive tool, especially in patients with high-risk diseases. However, its implementation in clinical practice still suffers from a lack of standardization in terms of sensitivity, bioinformatics and result interpretation. Data from literature, mostly gleaned from retrospective cohorts, show NGS monitoring when used appropriately could help clinicians to guide therapy, detect early relapse and predict disease evolution. Translating these observations into personalized patient management requires a prospective evaluation in clinical research and remains a major challenge for the next years., (© 2024 British Society for Haematology and John Wiley & Sons Ltd.)

Abstract: Given the poor outcome of refractory and relapsing T-cell acute lymphoblastic leukemia (T-ALL), identifying prognostic markers is still challenging. Using single nucleotide polymorphism (SNP) array analysis, we provide a comprehensive analysis of genomic imbalances in a cohort of 317 newly diagnosed patients with T-ALL including 135 children and 182 adults with respect to clinical and biological features and outcomes. SNP array results identified at least 1 somatic genomic imbalance in virtually all patients with T-ALL (∼96%). Del(9)(p21) (∼70%) and UPD(9)p21)/CDKN2A/B (∼28%) were the most frequent genomic imbalances. Unexpectedly del(13)(q14)/RB1/DLEU1 (∼14%) was the second most frequent copy number variant followed by del(6)(q15)/CASP8AP2 (∼11%), del(1)(p33)/SIL-TAL1 (∼11%), del(12)(p13)ETV6/CDKN1B (∼9%), del(18)(p11)/PTPN2 (∼9%), del(1)(p36)/RPL22 (∼9%), and del(17)(q11)/NF1/SUZ12 (∼8%). SNP array also revealed distinct profiles of genomic imbalances according to age, immunophenotype, and oncogenetic subgroups. In particular, adult patients with T-ALL demonstrated a significantly higher incidence of del(1)(p36)/RPL22, and del(13)(q14)/RB1/DLEU1, and lower incidence of del(9)(p21) and UPD(9p21)/CDKN2A/B. We determined a threshold of 15 genomic imbalances to stratify patients into high- and low-risk groups of relapse. Survival analysis also revealed the poor outcome, despite the low number of affected cases, conferred by the presence of chromothripsis (n = 6, ∼2%), del(16)(p13)/CREBBP (n = 15, ∼5%) as well as the newly-identified recurrent gain at 6q27 involving MLLT4 (n = 10, ∼3%). Genomic complexity, del(16)(p13)/CREBBP and gain at 6q27 involving MLLT4, maintained their significance in multivariate analysis for survival outcome. Our study thus demonstrated that whole genome analysis of imbalances provides new insights to refine risk stratification in T-ALL. This trial was registered at www.ClinicalTrials.gov as #NCT00222027 and #NCT00327678, and as #FRALLE 2000T trial., (© 2024 American Society of Hematology. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.)

Background: Bidirectional interactions between eosinophils and mast cells (MCs) have been reported in various allergic diseases. Bone marrow (BM) eosinophilia, and to a lesser extent blood eosinophilia, is common in systemic mastocytosis (SM), but its significance remains unknown., Objective: We described blood and BM eosinophil characteristics in SM., Methods: A large collection of BM biopsy samples was analyzed using immunohistochemical staining and whole-slide imaging. Eosinophil and extracellular granules were detected by eosinophil peroxidase (EPX) staining and MCs by KIT staining. Complementary analyses were conducted using flow cytometry and immunofluorescence., Results: Eosinophil infiltrates and large areas of eosinophil degranulation were observed within or around BM MC infiltrates in SM. EPX staining surface, highlighting intact eosinophils and eosinophil degranulation, was higher in nonadvanced SM (n = 37 BM biopsy samples) compared with both controls (n = 8, P = .0003) and advanced SM (n = 24, P = .014). In nonadvanced SM, positive correlations were observed between serum tryptase levels and percentages of eosinophil counts in BM aspirations (Spearman r coefficient r = 0.38, P = .038), eosinophils count in BM biopsy samples (r = 0.45, P = .007), EPX staining (r = 0.37, P = .035), and eosinophil degranulation (r = 0.39, P = .023). Eosinophil counts in BM biopsy samples also correlated with MC counts (r = 0.47, P = .006) and KIT staining surface (r = 0.49, P = .003). BM MCs expressed IL-5 receptor and other usual eosinophil cytokine/chemokine receptors, and blood eosinophils displayed several increased surface markers compared with controls, suggesting an activated state., Conclusion: Our data suggest possible cross talk between MCs and eosinophils, supporting MC tryptase release and MC activation-related symptoms. This suggests a rationale for targeting eosinophils in nonadvanced SM not fully controlled by other therapies., Competing Interests: Disclosure statement Funding provided by GSK (ISS 10889). The authors are solely responsible for final content and interpretation. Disclosure of potential conflict of interest: O. Hermine received research funds from Blueprint, AB Science, Alexion, and BMS; and is cofounder and shareholder of Innatherys and AB Science. D. Launay received consulting fees from AstraZeneca. G. Lefèvre received consulting fees from AstraZeneca, GSK, and Sanofi; and research funds from AstraZeneca and GSK. J. Rossignol received consulting fees from Blueprint and research funds from Novartis. D. Staumont-Salle received consulting fees from AstraZeneca, GSK, Novartis, and Sanofi-Regeneron. The rest of the authors declare that they have no relevant conflicts of interest., (Copyright © 2024 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)

Abstract: Mycosis fungoides (MF) is the most prevalent primary cutaneous T-cell lymphoma, with an indolent or aggressive course and poor survival. The pathogenesis of MF remains unclear, and prognostic factors in the early stages are not well established. Here, we characterized the most recurrent genomic alterations using whole-exome sequencing of 67 samples from 48 patients from Lille University Hospital (France), including 18 sequential samples drawn across stages of the malignancy. Genomic data were analyzed on the Broad Institute's Terra bioinformatics platform. We found that gain7q, gain10p15.1 (IL2RA and IL15RA), del10p11.22 (ZEB1), or mutations in JUNB and TET2 are associated with high-risk disease stages. Furthermore, gain7q, gain10p15.1 (IL2RA and IL15RA), del10p11.22 (ZEB1), and del6q16.3 (TNFAIP3) are coupled with shorter survival. Del6q16.3 (TNFAIP3) was a risk factor for progression in patients at low risk. By analyzing the clonal heterogeneity and the clonal evolution of the cohort, we defined different phylogenetic pathways of the disease with acquisition of JUNB, gain10p15.1 (IL2RA and IL15RA), or del12p13.1 (CDKN1B) at progression. These results establish the genomics and clonality of MF and identify potential patients at risk of progression, independent of their clinical stage., (© 2024 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.)

The evaluation of measurable residual disease (MRD) in acute myeloid leukemia (AML) using comprehensive mutation analysis by next-generation sequencing (NGS) has been investigated in several studies. However controversial results exist regarding the detection of persisting mutations in DNMT3A, TET2, and ASXL1 (DTA). Benchmarking of NGS-MRD taking into account other molecular MRD strategies has to be done. Here, we performed error-corrected-NGS-MRD in 189 patients homogeneously treated in the ALFA-0702 study (NCT00932412). Persistence of non-DTA mutations (HR = 2.23 for RFS and 2.26 for OS), and DTA mutations (HR = 2.16 for OS) were associated with poorer prognosis in multivariate analysis. Persistence of at least two mutations in complete remission (CR) was associated with a higher cumulative incidence of relapse (CIR) (HR = 3.71, p < 0.0001), lower RFS (HR = 3.36, p < 0.0001) and OS (HR = 3.81, p = 0.00023) whereas persistence of only one mutation was not. In 100 analyzable patients, WT1-MRD, but not NGS-MRD, was an independent factor for RFS and OS. In the subset of 67 NPM1 mutated patients, both NPM1 mutation detection (p = 0.0059) and NGS-MRD (p = 0.035) status were associated with CIR. We conclude that detectable NGS-MRD including DTA mutations correlates with unfavorable prognosis in AML. Its integration with alternative MRD strategies in AML management warrants further investigations., (© 2024. The Author(s).)

We investigated using a custom NGS panel of 149 genes the mutational landscape of 64 consecutive adult patients with tyrosine kinase fusion-negative hypereosinophilia (HE)/hypereosinophilic syndrome (HES) harboring features suggestive of myeloid neoplasm. At least one mutation was reported in 50/64 (78%) patients (compared to 8/44 (18%) patients with idiopathic HE/HES/HE US used as controls; p < .001). Thirty-five patients (54%) had at least one mutation involving the JAK-STAT pathway, including STAT5B (n = 18, among which the hotspot N642H, n = 13), JAK1 (indels in exon 13, n = 5; V658F/L, n = 2), and JAK2 (V617F, n = 6; indels in exon 13, n = 2). Other previously undescribed somatic mutations were also found in JAK2, JAK1, STAT5B, and STAT5A, including three patients who shared the same STAT5A V707fs mutation and features consistent with primary polycythemia. Nearly all JAK-STAT mutations were preceded by (or associated with) myelodysplasia-related gene mutations, especially in RNA-splicing genes or chromatin modifiers. In multivariate analysis, neurologic involvement (hazard ratio [HR] 4.95 [1.87-13.13]; p = .001), anemia (HR 5.50 [2.24-13.49]; p < .001), and the presence of a high-risk mutation (as per the molecular international prognosis scoring system: HR 6.87 [2.39-19.72]; p < .001) were independently associated with impaired overall survival. While corticosteroids were ineffective in all treated JAK-STAT-mutated patients, ruxolitinib showed positive hematological responses including in STAT5A-mutated patients. These findings emphasize the usefulness of NGS for the workup of tyrosine kinase fusion-negative HE/HES patients and support the use of JAK inhibitors in this setting. Updated classifications could consider patients with JAK-STAT mutations and eosinophilia as a new "gene mutated-entity" that could be differentiated from CEL, NOS, and idiopathic HES., (© 2024 Wiley Periodicals LLC.)

Neonatal acute myeloid leukemias (AML) occurred within the first 28 days of life and constitute only a small proportion of all AL. They are distinguished from leukemias of older children by their clinical presentation, which frequently includes cutaneous localizations ("blueberry muffin rash syndrome") and a leukocytosis above 50 ×10 9 /L. This proliferation may be transient, causing a transient leukemoid reaction in a background of constitutional trisomy 21 ("Transient Abnormal Myelopoieseis" or TAM) or Infantile Myeloproliferative Disease in the absence of constitutional trisomy 21 ("Infantile Myeloproliferative Disease" or IMD). In cases of true neonatal AML, the prognosis of patients is poor. Overall survival is around 35 % in the largest historical series. This poor prognosis is mainly due to the period of onset of this pathology making the use of chemotherapy more limited and involving many considerations, both ethical and therapeutic. The objective of this work is to review this rare pathology by addressing the clinical, biological, therapeutic and ethical particularities of patients with true neonatal AML or transient leukemoid reactions occurring in a constitutional trisomy 21 (true TAM) or somatic background (IMD)., (Copyright © 2024 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.)

Constitutional polymorphisms in ARID5B are associated with an increased risk of developing high hyperdiploid (HeH; 51-67 chromosomes) pediatric B-cell precursor acute lymphoblastic leukemia (BCP ALL). Here, we investigated constitutional and somatic ARID5B variants in 1335 BCP ALL cases from five different cohorts, with a particular focus on HeH cases. In 353 HeH ALL that were heterozygous for risk alleles and trisomic for chromosome 10, where ARID5B is located, a significantly higher proportion of risk allele duplication was seen for the SNPs rs7090445 (p = 0.009), rs7089424 (p = 0.005), rs7073837 (p = 0.03), and rs10740055 (p = 0.04). Somatic ARID5B deletions were seen in 16/1335 cases (1.2%), being more common in HeH than in other genetic subtypes (2.2% vs. 0.4%; p = 0.002). The expression of ARID5B in HeH cases with genomic deletions was reduced, consistent with a functional role in leukemogenesis. Whole-genome sequencing and RNA-sequencing in HeH revealed additional somatic events involving ARID5B, resulting in a total frequency of 3.6% of HeH cases displaying a somatic ARID5B aberration. Overall, our results show that both constitutional and somatic events in ARID5B are involved in the leukemogenesis of pediatric BCP ALL, particularly in the HeH subtype., (© 2024 The Authors. Genes, Chromosomes and Cancer published by Wiley Periodicals LLC.)

Despite recent refinements in the diagnostic and prognostic assessment of CEBPA mutations in AML, several questions remain open, i.e. implications of different types of basic region leucin zipper (bZIP) mutations, the role of co-mutations and the allelic state. Using pooled primary data analysis on 1010 CEBPA-mutant adult AML patients, a comparison was performed taking into account the type of mutation (bZIP: either typical in-frame insertion/deletion (InDel) mutations (bZIP InDel ), frameshift InDel or nonsense mutations inducing translational stop (bZIP STOP ) or single base-pair missense alterations (bZIP ms ), and transcription activation domain (TAD) mutations) and the allelic state (single (smCEBPA) vs. double mutant (dmCEBPA)). Only bZIP InDel patients had significantly higher rates of complete remission and longer relapse free and overall survival (OS) compared with all other CEBPA-mutant subgroups. Moreover, co-mutations in bZIP InDel patients (e.g. GATA2, FLT3, WT1 as well as ELN2022 adverse risk aberrations) had no independent impact on OS, whereas in non-bZIP InDel patients, grouping according to ELN2022 recommendations added significant prognostic information. In conclusion, these results demonstrate bZIP InDel mutations to be the major independent determinant of outcome in CEBPA-mutant AML, thereby refining current classifications according to WHO (including all dmCEBPA and smCEBPA bZIP) as well as ELN2022 and ICC recommendations (including CEBPA bZIP ms )., (© 2024. The Author(s).)

Individuals with germ line variants associated with hereditary hematopoietic malignancies (HHMs) have a highly variable risk for leukemogenesis. Gaps in our understanding of premalignant states in HHMs have hampered efforts to design effective clinical surveillance programs, provide personalized preemptive treatments, and inform appropriate counseling for patients. We used the largest known comparative international cohort of germline RUNX1, GATA2, or DDX41 variant carriers without and with hematopoietic malignancies (HMs) to identify patterns of genetic drivers that are unique to each HHM syndrome before and after leukemogenesis. These patterns included striking heterogeneity in rates of early-onset clonal hematopoiesis (CH), with a high prevalence of CH in RUNX1 and GATA2 variant carriers who did not have malignancies (carriers-without HM). We observed a paucity of CH in DDX41 carriers-without HM. In RUNX1 carriers-without HM with CH, we detected variants in TET2, PHF6, and, most frequently, BCOR. These genes were recurrently mutated in RUNX1-driven malignancies, suggesting CH is a direct precursor to malignancy in RUNX1-driven HHMs. Leukemogenesis in RUNX1 and DDX41 carriers was often driven by second hits in RUNX1 and DDX41, respectively. This study may inform the development of HHM-specific clinical trials and gene-specific approaches to clinical monitoring. For example, trials investigating the potential benefits of monitoring DDX41 carriers-without HM for low-frequency second hits in DDX41 may now be beneficial. Similarly, trials monitoring carriers-without HM with RUNX1 germ line variants for the acquisition of somatic variants in BCOR, PHF6, and TET2 and second hits in RUNX1 are warranted., (Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution.)

The existence of two acute myeloid leukaemia classification systems-one put forth by WHO and one by the International Consensus Classification in 2022-is concerning. Although both systems appropriately move towards genomic disease definitions and reduced emphasis on blast enumeration, there are consequential disagreements between the two systems on what constitutes a diagnosis of acute myeloid leukaemia. This fundamental problem threatens the ability of heath-care providers to diagnose acute myeloid leukaemia, communicate with patients and other health-care providers, and deliver appropriate and consistent management strategies for patients with the condition. Clinical trial eligibility, standardised response assessments, and eventual drug development and regulatory pathways might also be negatively affected by the discrepancies. In this Viewpoint, we review the merits and limitations of both classification systems and illustrate how the coexistence, as well as application of both systems is an undue challenge to patients, clinicians, hematopathologists, sponsors of research, and regulators. Lastly, we emphasise the urgency and propose a roadmap, by which the two divergent classification systems can be harmonised., Competing Interests: Declaration of interests RMS has served in a consulting or advisory role for Bristol Myers Squibb, Curio Science, Gilead Sciences, and Sciences, Servier, and Rigel. ND has received research funding from Daiichi Sankyo, Bristol Myers Squibb, Pfizer, Gilead, Sevier, Genentech, Astellas, Daiichi Sankyo, AbbVie, Hanmi, Trovagene, Fate Therapeutics, Amgen, Novimmune, Glycomimetics, Trillium, and ImmunoGen. ND has served in a consulting or advisory role for Daiichi-Sankyo, Bristol Myers Squibb, Arog, Pfizer, Novartis, Jazz Pharmaceuticals, Celgene, AbbVie, Astellas, Genentech, Immunogen, Servier, Syndax, Trillium, Gilead, Amgen, Shattuck labs, and Agios. JKA has received institutional research funding from AbbVie, Agios, ALX Oncology, Amgen, Amphivena, Aprea AB, Aptose Biosciences, Astellas Pharma, BioSight, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Cyclacel, Fujifilm, Immunogen, Kartos Therapeutics, Kura Oncology, Loxo, Pfizer, and Telios; has served in a consulting or advisory role for AbbVie, Astellas Pharma, BioSight, Bluebird Bio, Curio, Gilead, Kura Oncology, Kymera, Stemline Therapeutics, and Syros; and has served on a data monitoring committee for GlycoMimetics. DAP has served as a consultant or advisor for AbbVie, Novartis, Karyopharm, Syndax, Jazz, Syros, Bristol Myers Squibb, BeiGene, Bergen Bio, Arcellx, Genentech, Immunogen, AstraZeneca, Kura, Ryvu, Magenta, Qihan, Zentalis, Medivir, Hibercell, Link, Daiichi Sankyo, Schrodinger, Aptevo, Rigel, Sumitomo, Adicet, Gilead, and Oncoverity; he has received research funding from AbbVie, Karyopharm, Teva, and Bristol Myers Squibb. TB has served as a consultant or advisor for Pfizer and Takeda. VRB reports participating in safety monitoring committee for protagonist. VRB receives consulting fees from Imugene, research funding from AbbVie, Pfizer, Incyte, Jazz Pharmaceuticals, and National Marrow Donor Program, and provided drug from Chimerix for a trial. AdlFB received research funding from Janssen-Cilag, Novartis, BTG Pharmaceuticals, and AbbVie; has served on advisory boards for Abbvie, Astellas, Bristol Meyers Squibb, Curis, Daiichi Sankyo, Incyte, Immunogen, Jazz Pharmaceuticals, Novartis, Pfizer, Roche, and Servier. AdlFB has received speakers' fees from Abbvie, Astellas, Celgene-BMS, Daiichi Sankyo, Incyte, Janssen Cilag, Jazz Pharmaceuticals, Novartis, Pfizer, Roche, and Servier. HEC received research funding from Celgene and has served as a consultant or advisor for Bristol Myers Squibb, Jazz Pharmaceuticals, Novartis, Daiichi, Genentech and Stemline. She has received speakers fees from Jazz, Novartis, BMS and Stemline; she has been on Data Safety Monitoring Board Committees for AbbVie, ASTEX, Syndax, and Takeda. FEC has received institutional research funding from Celgene, Bristol Myers Squib, Amgen, Fibrogen, Sumitomo Pharma Oncology, and AbbVie, and is a consultant for the Association of Community Cancer Centers. ATF has received research funding from Celgene, AbbVie, and Servier, and has served in a consulting or advisory role for Genentech, Celgene, Foghorn, Kite, Morphosys, AbbVie, Takeda, Ipsen, Forma, Amgen, Novartis, Astellas, Immunogen, Mablytics, EnClear, Orum, PureTech, Pfizer, Daiichi Sankyo, Minovia, Rigel, and Servier. IG has received research funding from Merck, Amgen, Gilead, Incyte, and Genentech, and has served as a consultant and advisor for Immunogen, Bristol Meyer Squibb, Amgen, ClearView, Curio, and Nkarta. MRG has stock ownership in Medtronic, received research support from Incyte and Jannsen, and received consulting fees from AbbVie, Amgen, Astellas, Blueprint Medicines, Bristol Myers Squibb, Cardinal Health, CTI BioPharma, Daiichi Sankyo, Gamida Cell, Genentech, Gilead, GSK, Sierra Oncology, Incyte, Invitae, Jazz, Karius, Novartis, Ono Pharmaceutical, Pfizer, Pharmacosmos, Premier, Servier, and Stemline Therapeutics. BAJ has served as a consultant and advisor for AbbVie, Bristol Meyers Squibb, Daiichi Sankyo, Genentech, Gilead, GlycoMimetics, Jazz, Kymera, Pfizer, Rigel, Servier, and Takeda; was on the protocol steering committee for GlycoMimetics, data monitoring committee for Gilead; and received travel reimbursement and [ support from AbbVie and Rigel; BAJ received institutional research funding from AbbVie, Amgen, Aptose, AROG, Bristol Meyers Squibb, Celgene, Daiichi Sankyo, F Hoffmann-La Roche, Forma, Forty Seven, Genentech, Gilead, GlycoMimetics, Hanmi, Immune-Onc, Incyte, Jazz, Loxo Oncology, Pfizer, Pharmacyclics, Sigma Tau, and Treadwell. GNM has received research funding from Bristol Meyers Squibb, Celgene, Glycomimetics, Forty Seven, Jazz, Astex, Syndax, Immune Onc, and Immunogen; has served as a consultant and advisor for AbbVie, Agios, Macrogenics and Pfizer, and has served on a scientific advisory committee for Abbvie, Agios, Astellas, Bristol Myers Squibb, Forty Seven, Genentech, and Stemline. JM has received institutional research funding from Incyte, Novartis, Bristol Meyers Squibb, CTI Bio, Geron, AbbVie, Kartos, and PharmaEssentia, and has received consulting fees from Bristol Meyers Squibb Incyte, Novartis, Roche, CTI Bio, Geron, Kartos, GSK, MorphoSys, PharmaEssentia, Imago, and Galecto. LCM has received institutional research funding from Jazz Pharmaceuticals, has served in a consulting or advisory role for AbbVie, Curio Science, Celgene Corp, Sierra Oncology, and Nkarta; has received honoraria from the American Society of Hematology, the American Board of Internal Medicine, and the Society of Hematologic Oncology; received royalties from Wintrobe's Publishing; and has served as an expert witness for Incyte Corporation. ASM has served in a consulting or advisory role for AbbVie, Servier, Syndax Pharmaceuticals, Bristol Meyers Squibb, Astellas, Rigel, Zentalis, and Ryvu Therapeutics; has served on a data monitoring safety committee for Jazz Pharmaceuticals, Daiichi Sankyo, and Foghorn Therapeutics; and has served as a medical monitor for the Leukemia and Lymphoma Society Beat AML Study. OP has served in a consulting or advisory role for Scopio Labs, Sysmex America, and F Hoffman-La Roche. KWP Research funding from AbbVie, Agios, Daiichi Sankyo, Millennium; was an advisory board member for AbbVie, Astellas, AstraZeneca, Boston BioMedical, Bristol Myers Squibb, Celgene, Novartis, Roche, Jazz Pharmaceuticals, and Servier. MAS has served on advisory boards for Bristol Meyers Squibb, Novartis, Kurome, and Gilead. CCS has received research funding from AbbVie, Bristol Myers Squibb, Erasca, Revolution Medicines, and Zentalis, and has served on a board of advisory committee for Astellas Pharma, Daichi Sanyko, and Genentech. MSt served on the advisory board for Novartis, Kymera, Sierra Oncology, GSK, and Rigel; consulted for Boston Consulting and Dedham group and participated in GME activity for Novartis, Curis Oncology, Haymarket Media and Clinical care options. MSu receives industry research support from Amgen, Bristol Myers Squibb, Gilead, Janssen, Miltenyi Biotec, Morphosys, Novartis, Roche, Seattle Genetics, and Takeda; serves as a consultant and advisor to AvenCell, CDR-Life, Ichnos Sciences, Incyte Biosciences, Janssen, Molecular Partners, and Takeda; and serves on the speakers' bureau at Amgen, AstraZeneca, Bristol Meyers Squibb, Gilead, GSK, Janssen, Novartis, Pfizer, Roche, and Takeda. GLU served in a consulting role for Novartis and Jazz. MTV received compensation for being a speakers from AbbVie, Bristol Myers Squibb, Astellas, Jazz, Novartis, and Servier; has served in a consulting or advisory role for Jazz and Syros Pharmaceuticals. RBW received laboratory research grants and clinical trial support from Amgen, Aptevo, Celgene, ImmunoGen, Janssen, Jazz Pharmaceuticals, Kura, MacroGenics, and Pfizer; has ownership interests in Amphivena; and served in a consulting role to AbbVie, Adicet, Amphivena, BerGenBio, Bristol Myers Squibb, GlaxoSmithKline, ImmunoGen, Kura, and Orum. ESW has served in a consulting and advisory role for AbbVie, Astellas, Bristol Meyers Squibb, Daiichi Sankyo, Genentech, Gilead, GlaxoSmithKline, Janssen, Jazz, Kite, Kura, Novartis, NuProbe, Pfizer, Rigel, Sellas, and Sumitomo Pharma; has received speaking fees from AbbVie, Astellas, Dava Oncology, Kura Oncology, Novartis, and Pfizer; has served on a data monitoring committee for Abbvie and Gilead; and has served on a research committee for Gilead. JFZ has received honoraria from AbbVie, Bristol Myers Squibb, Daiichi Sankyo, Genentech, Gilead, Immunogen, Servier, and Shattuck Labs; has served as a consultant for AbbVie, Foghorn, Gilead and Servier; and has received research funding from AbbVie, Arog, Astex, Gilead, Jazz, Merck, Shattuck Labs, Stemline, Sumitomo Dainippon Pharma, and Takeda. AZ has served in a consulting or advisory role for AbbVie, Astellas, Jannsen, Novartis, and Pfizer, and received honoraria from AbbVie, Astellas, Jannsen, Novartis, and Takeda. AMZ has served in a consulting or advisory role for AbbVie, Acceleron, Agios, Amgen, Aprea, Astellas, AstraZeneca, BeyondSpring, Boehringer Ingelheim, Cardiff Oncology, Bristol Meyers Squibb, Daiichi Sankyo, Epizyme, Genentech, Gilead, Kura, Incyte, Ionis, Loxo Oncology, Janssen, Novartis; served on clinical trial committees for AbbVie, BioCryst, Bristol Meyers Squibb, Geron, Gilead, Kura, Loxo Oncology, Novartis; has received research funding from AbbVie, Acceleron, ADC Therapeutics, Amgen, Aprea, Astex, Boehringer Ingelheim, Cardiff Oncology, Bristol Meyers Squibb, Incyte, Jasper, Jazz, Novartis, and Pfizer. JPB, RSK, SdB, PD, RD, ND, SDF, MK, TLL, PM, and ACS declare no competing interests., (Copyright © 2023 Elsevier Ltd. All rights reserved.)