Acute Myeloid Leukemia Cohort Research Articles

A novel immunogenic cell death-related classification indicates the immune landscape and predicts clinical outcome and treatment response in acute myeloid leukemia

BackgroundImmunogenic cell death (ICD) is closely related to anti-tumor therapy and regulates the tumor microenvironment (TME). This study aims to explore the molecular characteristics of ICD in acute myeloid leukemia (AML) and to analyze the value of ICD-related biomarkers in TME indication, prognosis prediction, and treatment response evaluation in AML.MethodsSingle-sample gene set enrichment analysis was used to calculate the ICD score. LASSO regression was used to construct a prognostic risk score model. We also analyzed differences in clinical characteristics, immune landscape, immunotherapy response, and chemotherapy sensitivity between high-risk and low-risk patients.ResultsThis study identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune landscape between different ICD subtypes. Subsequently, a novel ICD-related prognostic risk score model was developed, which accurately predicted the prognosis of AML patients and was validated in nine AML cohorts. Moreover, there were significant correlations between risk scores and clinicopathological factors, somatic mutations, TME characteristics, immune cell infiltration, immunotherapy response, and chemosensitivity. We further validated the model gene expression in a clinically real-world cohort.ConclusionsThe novel ICD-related signatures identified and validated by us can serve as promising biomarkers for predicting clinical outcomes, chemotherapy sensitivity, and immunotherapy response in AML patients, guiding the establishment of personalized and accurate treatment strategies for AML.Graphical

Identification of cells of leukemic stem cell origin with non-canonical regenerative properties

Despite most acute myeloid leukemia (AML) patients entering remission following chemotherapy, outcomes remain poor due to surviving leukemic cells that contribute to relapse. The nature of these enduring cells ispoorly understood. Here, through temporal single-cell transcriptomic characterization of AML hierarchical regeneration in response to chemotherapy, we reveal a cell population: AML regeneration enriched cells(RECs). RECs are defined by CD74/CD68 expression, and although derived from leukemic stem cells (LSCs), are devoid of stem/progenitor capacity. Based on REC in situ proximity to CD34-expressing cells identified using spatial transcriptomics on AML patient bone marrow samples, RECs demonstrate the ability to augment or reduce leukemic regeneration invivo based on transfusion or depletion, respectively. Furthermore, RECs are prognostic for patient survival as well as predictive of treatment failure in AML cohorts. Our study reveals RECs as a previously unknown functional catalyst of LSC-driven regeneration contributing to the non-canonical framework of AML regeneration.

Abstract 5588: Protein Arginine Methyltransferase 2 is involved in the control of inflammatory processes in acute myeloid leukemia

Abstract A direct link between chronic inflammation and development of Acute Myeloid Leukemia (AML) has been highlighted in the past few years, demonstrating an interconnection between marked inflammatory phenotype and aberrant myeloproliferation in AML patients. Treating AML patients exhibiting a higher inflammatory signature with anti-inflammatory molecules resulted in significant increase of overall survival. Protein Arginine Methyltransferases (PRMTs) are epigenetic factors known to regulate gene expression through methylation of histone tails. It has been previously reported that PRMT1, 4, and 5 inhibition exhibit anti-proliferative effects on AML models. In this study, we investigated the role of another PRMT, called PRMT2, in the development of AML through its regulatory roles in inflammatory pathways. We first determined from an AML cohort (The Leucegene project, IRIC, Montréal, QC, Canada) that patients with a low PRMT2 expression display an enrichment of proinflammatory pathways compared to patients with a high PRMT2 expression. Therefore, we hypothesized that PRMT2 could be a key regulator of inflammatory processes in AML. We thus used a PRMT2 knockout mouse model (Prmt2 KO) and a PRMT2 knockout human AML cell line to validate our hypothesis. Although we demonstrated no difference in the bone marrow progenitors or mature cell populations of Prmt2 KO mice compared to control, we observed that Prmt2 KO Bone-Marrow Derived Macrophages (BMDMs) are more sensitive to LPS stimulation and express higher levels of pro-inflammatory cytokines, supporting our previous findings for a role of PRMT2 in the negative regulation of inflammatory processes. PRMT2 depleted human AML cells displayed an increased pro-inflammatory signature due to overactivation of STAT3, which is caused by an enhanced activation of the NFkB signaling pathway, leading to an overproduction of IL6. Together, these findings demonstrate that PRMT2 is a key regulator of the control of inflammation in AML. Recognition of PRMT2 as a biomarker of inflammation in AML would help to adapt treatment possibly through the synergistic use of anti-inflammatory molecules with other cytotoxic drugs. Citation Format: Camille Sauter, Thomas Morin, Fabien Guidez, John Simonet, Cyril Fournier, Céline Row, Denis Masnikov, Baptiste Pernon, Anne Largeot, Aziza Aznague, Yann Herault, Guy Sauvageau, Marc Maynadie, Mary Callanan, Jean-Noël Bastie, Romain Aucagne, Laurent Levadny Delva. Protein Arginine Methyltransferase 2 is involved in the control of inflammatory processes in acute myeloid leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5588.

Abstract 6206: Molecular stratification of AML: Integrative genomic and immune profiling points to high risk subgroup and targetable molecular drivers

Abstract Background: Acute Myeloid Leukemia (AML) is a complex hematological malignancy characterized by clinical diversity. The ability to accurately subtype patients can inform prognosis and guide therapeutic approaches. With the integration of multi-omics data, it is possible to elucidate the molecular mechanisms underpinning unique AML subtypes, with intent to identify potential drug targeting pathways in a precision medicine strategy. Method: RNAseq datasets from Beat-AML (discovery, N=462), TCGA-AML (validation, N=173), and Leucegene (validation, N=452) were analyzed through non-negative matrix factorization to delineate distinct transcriptomic-driven molecular subtypes within AML. A curated set of the top 1,000 most variable genes was utilized to minimize analytical noise. GSVA was used for pathway analyses across Hallmark, KEGG, Reactome, and the immune microenvironment was characterized via xCell. Recurring DNA variants were examined in each subtype. Clinical outcomes of each subtype were analyzed using the Kaplan-Meier method and assessed by a log-rank test. These insights were subsequently validated in two independent cohorts - TCGA AML and Leucegene. The most influential components of immunological effector mechanisms, which characterize poor prognostic subpopulation, were assessed using bootstrap forest partitioning as a feature selection technique. Results: Our Beat-AML analysis identified 5 distinct clusters. Cluster 3 consisted of 20% of AML cases (n=86), and displayed a worse overall survival with a HR (95% CI) of 1.41 (1.03, 1.92, P=0.03). This cluster was characterized by three co-mutations: FLT3, NPM1, and DNMT3A. Pathway analysis highlighted biological processes key to antibody therapy intervention, specifically complement pathways, NK cell cytotoxicity, and FCGR-mediated phagocytosis as enriched within this subpopulation. Concurrently, oncogenic (PI3K/AKT/MTOR, TGFB, NOTCH) and metabolic pathways (fatty acid and oxidative phosphorylation) were activated. Immune profiling indicated increased levels of M2 macrophages. Using bootstrap forest partitioning, C2 and ITGAM were identified as key genes defining cluster 3. These observations were confirmed in TCGA AML and Leucegene cohorts. Conclusion: Our comprehensive analysis identified a distinct high-risk AML subgroup characterized by unique genomic, transcriptomic, and immunological patterns. The combined presence of NPM1/FLT3-ITD and DNMT3A mutations in cluster 3—each previously attributed with varied prognostic outcomes—warrants in-depth biological investigation. With these consistent AML subgroup results identified across three independent cohorts (total of 1,087 patients), we highlight the complexities within the molecular landscape of AML and emphasize the need for tailored therapeutic approaches - a transformative shift in AML treatment. Citation Format: Kubra Karagoz, Lauren Brady, Brandon Higgs, Han Si. Molecular stratification of AML: Integrative genomic and immune profiling points to high risk subgroup and targetable molecular drivers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6206.

Cellular abundance-based prognostic model associated with deregulated gene expression of leukemic stem cells in acute myeloid leukemia.

Background: Previous studies have reported that genes highly expressed in leukemic stem cells (LSC) may dictate the survival probability of patients and expression-based cellular deconvolution may be informative in forecasting prognosis. However, whether the prognosis of acute myeloid leukemia (AML) can be predicted using gene expression and deconvoluted cellular abundances is debatable. Methods: Nine different cell-type abundances of a training set composed of the AML samples of 422 patients, were used to build a model for predicting prognosis by least absolute shrinkage and selection operator Cox regression. This model was validated in two different validation sets, TCGA-LAML and Beat AML (n = 179 and 451, respectively). Results: We introduce a new prognosis predicting model for AML called the LSC activity (LSCA) score, which incorporates the abundance of 5cell types, granulocyte-monocyte progenitors, common myeloid progenitors, CD45RA + cells, megakaryocyte-erythrocyte progenitors, and multipotent progenitors. Overall survival probabilities between the high and low LSCA score groups were significantly different in TCGA-LAML and Beat AML cohorts (log-rank p-value = and , respectively). Also, multivariate Cox regression analysis on these two validation sets shows that LSCA score is independent prognostic factor when considering age, sex, and cytogenetic risk (hazard ratio, HR = 2.17; 95% CI 1.40-3.34; p < 0.001 and HR = 1.20; 95% CI 1.02-1.43; p < 0.03, respectively). The performance of the LSCA score was comparable to other prognostic models, LSC17, APS, and CTC scores, as indicated by the area under the curve. Gene set variation analysis with six LSC-related functional gene sets indicated that high and low LSCA scores are associated with upregulated and downregulated genes in LSCs. Conclusion: We have developed a new prognosis prediction scoring system for AML patients, the LSCA score, which uses deconvoluted cell-type abundance only.

Aging and comprehensive molecular profiling in acute myeloid leukemia

Acute myeloid leukemia (AML) is an aging-related and heterogeneous hematopoietic malignancy. In this study, a total of 1,474 newly diagnosed AML patients with RNA sequencing data were enrolled, and targeted or whole exome sequencing data were obtained in 94% cases. The correlation of aging-related factors including age and clonal hematopoiesis (CH), gender, and genomic/transcriptomic profiles (gene fusions, genetic mutations, and gene expression networks or pathways) was systematically analyzed. Overall, AML patients aged 60 y and older showed an apparently dismal prognosis. Alongside age, the frequency of gene fusions defined in the World Health Organization classification decreased, while the positive rate of gene mutations, especially CH-related ones, increased. Additionally, the number of genetic mutations was higher in gene fusion-negative (GF-) patients than those with GF. Based on the status of CH- and myelodysplastic syndromes (MDS)-related mutations, three mutant subgroups were identified among the GF- AML cohort, namely, CH-AML, CH-MDS-AML, and other GF- AML. Notably, CH-MDS-AML demonstrated a predominance of elderly and male cases, cytopenia, and significantly adverse clinical outcomes. Besides, gene expression networks including HOXA/B, platelet factors, and inflammatory responses were most striking features associated with aging and poor prognosis in AML. Our work has thus unraveled the intricate regulatory circuitry of interactions among different age, gender, and molecular groups of AML.

Continuous 72-h infusion of zosuquidar with chemotherapy in patients with newly diagnosed acute myeloid leukemia stratified for leukemic blast P-glycoprotein phenotype.

To evaluate the safety, tolerability, pharmacodynamics (PD), and potential efficacy of zosuquidar (Zos) in combination with daunorubicin and cytarabine in elderly patients with newly diagnosed acute myeloid leukemia (AML). Patients with AML (N = 106) were treated with Zos as a 72-h continuous intravenous (CIV) infusion along with chemotherapy. Leukemic blasts from the patients were assessed for P-glycoprotein (P-gp) function using ex vivo bioassays for screening and PD analyses. Patient outcomes were categorized according to primary (N = 56) and secondary (N = 50) AML cohorts (pAML and sAML, respectively) and stratified into P-gp-high and P-gp-low subgroups. Patients with P-gp-high blasts exhibited comparable overall remission rates (ORR) to those with P-gp-low blasts in both the pAML and sAML cohorts. The P-gp-high and P-gp-low subgroups in the pAML cohort exhibited similar overall survival (OS). Patients with sAML and P-gp-high blasts exhibited significantly better OS than those in the P-gp-low subgroup. PD analyses revealed that Zos infusion provided 82h of uninterrupted effective ≥ 90% inhibition of P-gp functional activity in leukemic blasts. These observations provide evidence of Zos efficacy with the 72-h CIV infusion approach. The similarity of ORR in the P-gp-high and P-gp-low subgroups is consistent with Zos-mediated neutralization of P-gp as verified by PD analyses. The bioassay identified sAML patients most likely to respond favorably to Zos co-therapy indicating feasibility as a Zos companion diagnostic. A follow-up placebo-controlled trial is needed to verify these promising results. NCT00129168; First posted on August 11, 2005.

Dysregulated immune and metabolic pathways are associated with poor survival in adult acute myeloid leukemia with CEBPA bZIP in-frame mutations

Acute myeloid leukemia (AML) with CEBPA bZIP in-frame mutations (CEBPAbZIP-inf) is classified within the favorable-risk group by the 2022 European LeukemiaNet (ELN-2022). However, heterogeneous clinical outcomes are still observed in these patients. In this study, we aimed to investigate the mutation profiles and transcriptomic patterns associated with poor outcomes in patients with CEBPAbZIP-inf. One hundred and thirteen CEBPAbZIP-inf patients were identified in a cohort of 887 AML patients homogeneously treated with intensive chemotherapy. Concurrent WT1 or DNMT3A mutations significantly predicted worse survival in AML patients with CEBPAbZIP-inf. RNA-sequencing analysis revealed an enrichment of interferon (IFN) signaling and metabolic pathways in those with a shorter event-free survival (EFS). CEBPAbZIP-inf patients with a shorter EFS had higher expression of IFN-stimulated genes (IRF2, IRF5, OAS2, and IFI35). Genes in mitochondrial complexes I (NDUFA12 and NDUFB6) and V (ATP5PB and ATP5IF1) were overexpressed and were associated with poorer survival, and the results were independently validated in the TARGET AML cohort. In conclusion, concurrent WT1 or DNMT3A mutations and a dysregulated immune and metabolic state were correlated with poor survival in patients with CEBPAbZIP-inf, and upfront allogeneic transplantation may be indicated for better long-term disease control.

Endogenous retroviruses Suppressyn and Syncytin-2 as innovative prognostic biomarkers in Acute Myeloid Leukemia.

Emerging evidence has proven that human endogenous retroviruses (HERVs) play a critical role in the pathogenesis of Acute Myeloid Leukemia (AML), whereas the specific HERVs influencing the prognosis of AML patients have yet to be fully understood. In this study, a systematic exploration was achieved to identify potential prognostic HERVs for AML, sourced from TCGA and GTEx database. Differential analysis and functional enrichment studies were conducted using GO, KEGG, GSEA, and GSVA. The ESTIMATE algorithm was applied to explore the immune infiltration of HERVs in AML. A prognostic risk-score model was evaluated with predicted yearly accuracy using ROC analysis. Two HERVs Suppressyn and Syncytin-2, were identified as promising prognostic biomarkers, with high discrimination ability based on ROC analysis between AML and healthy cohorts from TCGA. Their expression was notably higher in AML patients compared to those in healthy individuals but correlates with favorable clinical outcomes in sub-groups such as white race, lower WBC counts, favorable and intermediate risks, and NPM1 or IDH1 mutation. Suppressyn and Syncytin-2 participated in immune-related pathways and exhibited correlations with multiple immune infiltration cells, such as T cells, mast cells, and tumor-associated macrophages. Finally, we developed a prognostic risk-scoring model combining Suppressyn and Syncytin-2, where a high risk-score is associated with better prognosis. Collectively, our findings revealed that Suppressyn and Syncytin-2 may act as valuable diagnostic and prognostic biomarkers for individuals with AML, while highlighting links between HERV activation, immunogenicity, and future therapeutic targets.

CD8 + T cell-based molecular subtypes with heterogeneous immune landscapes and clinical significance in acute myeloid leukemia.

Acute myeloid leukemia (AML) is a heterogeneous hematological malignancy. Although high-dose chemotherapy is the primary treatment option, it cannot cure the disease, and new approaches need to be developed. The tumor microenvironment (TME) plays a crucial role in tumor biology and immunotherapy. CD8 + T cells are the main anti-tumor immune effector cells, and it is essential to understand their relationship with the TME and the clinicopathological characteristics of AML. In this study, we conducted a systematic analysis of CD8 + T cell infiltration through multi-omics data and identified molecular subtypes with significant differences in CD8 + T cell infiltration and prognosis. We aimed to provide a comprehensive evaluation of the pathological factors affecting the prognosis of AML patients and to offer theoretical support for the precise treatment of AML. Our results indicate that CD8 + T cell infiltration is accompanied by immunosuppression, and that there are two molecular subtypes, with the C2 subtype having a significantly worse prognosis than the C1 subtype, as well as less CD8 + T cell infiltration. We developed a signature to distinguish molecular subtypes using multiple machine learning algorithms and validated the prognostic predictive power of molecular subtypes in nine AML cohorts including 2059 AML patients. Our findings suggest that there are different immunosuppressive characteristics between the two subtypes. The C1 subtype has up-regulated expression of immune checkpoints such as CTLA4, PD-1, LAG3, and TIGITD, while the C2 subtype infiltrates more immunosuppressive cells such as Tregs and M2 macrophages. The C1 subtype is more responsive to anti-PD-1 immunotherapy and induction chemotherapy, as well as having higher immune and cancer-promoting variant-related pathway activity. Patients with the C2 subtype had a higher FLT3 mutation rate, higher WBC counts, and a higher percentage of blasts, as indicated by increased activity of signaling pathways involved in energy metabolism and cell proliferation. Analysis of data from ex vivo AML cell drug assays has identified a group of drugs that differ in therapeutic sensitivity between molecular subtypes. Our results suggest that the molecular subtypes we constructed have potential application value in the prognosis evaluation and treatment guidance of AML patients.

A Comprehensive Metabolism-Related Gene Signature Predicts the Survival of Patients with Acute Myeloid Leukemia.

(1) Background: Acute myeloid leukemia (AML) is a clonal malignancy with heterogeneity in genomics and clinical outcome. Metabolism reprogramming has been increasingly recognized to play an important role in the leukemogenesis and prognosis in AML. A comprehensive prognostic model based on metabolism signatures has not yet been developed. (2) Methods: We applied Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) normalization to establish a metabolism-related prognostic gene signature based on glycolysis, fatty acid metabolism, and the tricarboxylic acid cycle gene signatures. The Cancer Genome Atlas-Acute Myeloid Leukemia-like (TCGA-LAML) cohort was set as the training dataset for model construction. Three independent AML cohorts (GSE37642, GSE10358, and GSE12417) combined from Gene Expression Omnibus (GEO) datasets and the Beat-AML dataset were retrieved as two validation sets to test the robustness of the model. The transcriptome data and clinic information of the cohorts were enrolled for the analysis. (3) Results: Divided by the median value of the metabolism risk score, the five-year overall survival (OS) of the high-risk and low-risk groups in the training set were 8.2% and 41.3% (p < 0.001), respectively. The five-year OS of the high-risk and low-risk groups in the combined GEO cohort were 25.5% and 37.3% (p = 0.002), respectively. In the Beat-AML cohort, the three-year OS of the high-risk and low-risk groups were 16.2% and 40.2% (p = 0.0035), respectively. The metabolism risk score showed a significantly negative association with the long-term survival of AML. Furthermore, this metabolism risk score was an independent unfavorable factor for OS by univariate analysis and multivariate analysis. (4) Conclusions: Our study constructed a comprehensive metabolism-related signature with twelve metabolism-related genes for the risk stratification and outcome prediction of AML. This novel signature might contribute to a better use of metabolism reprogramming factors as prognostic markers and provide novel insights into potential metabolism targets for AML treatment.

Comprehensive analysis of the HCK gene in myeloid neoplasms: Insights into biological functions, prognosis, and response to antineoplastic agents

Myeloid neoplasms result from molecular alterations in hematopoietic stem cells, with acute myeloid leukemia (AML) being one of the most aggressive and with a poor prognosis. Hematopoietic cell kinase (HCK) is a proto-oncogene that encodes a protein-tyrosine kinase of the Scr family, and it is highly expressed in AML. The present study investigated HCK expression in normal hematopoietic cells across myeloid differentiation stages and myeloid neoplasm patients. Within the AML cohort, we explored the impact of HCK expression on clinical outcomes and its correlation with clinical, genetic, and laboratory characteristics. Furthermore, we evaluated the association between HCK expression and the response to antineoplastic agents using ex vivo assay data from AML patients. HCK expression is higher in differentiated subpopulations of myeloid cells. High HCK expression was observed in patients with chronic myelomonocytic leukemia, chronic myeloid leukemia, and AML. In patients with AML, high levels of HCK negatively impacted overall and disease-free survival. High HCK expression was also associated with worse molecular risk groups and white blood cell count; however, it was not an independent prognostic factor. In functional genomic analyses, high HCK expression was associated with several biological and molecular processes relevant to leukemogenesis. HCK expression was also associated with sensitivity and resistance to several drugs currently used in the clinic. In conclusion, our analysis confirmed the differential expression of HCK in myeloid neoplasms and its potential association with unfavorable molecular risks in AML. We also provide new insights into HCK biological functions, prognosis, and response to antineoplastic agents.

Identification of a venetoclax-resistance prognostic signature base on 6-senescence genes and its clinical significance for acute myeloid leukemia

BackgroundSatisfactory responses can be obtained for acute myeloid leukemia (AML) treated by Venetoclax (VEN)-based therapy. However, there are still quite a few AML patients (AMLs) resistant to VEN, and it is critical to understand whether VEN-resistance is regulated by senescence.MethodsHere, we established and validated a signature for predicting AML prognosis based on VEN resistance-related senescence genes (VRSGs). In this study, 51 senescence genes were identified with VEN-resistance in AML. Using LASSO algorithms and multiple AML cohorts, a VEN-resistance senescence prognostic model (VRSP-M) was developed and validated based on 6-senescence genes.ResultsAccording to the median score of the signature, AMLs were classified into two subtypes. A worse prognosis and more adverse features occurred in the high-risk subtype, including older patients, non-de novo AML, poor cytogenetics, adverse risk of European LeukemiaNet (ELN) 2017 recommendation, and TP53 mutation. Patients in the high-risk subtype were mainly involved in monocyte differentiation, senescence, NADPH oxidases, and PD1 signaling pathway. The model’s risk score was significantly associated with VEN-resistance, immune features, and immunotherapy response in AML. In vitro, the IC50 values of ABT-199 (VEN) rose progressively with increasing expression of G6PD and BAG3 in AML cell lines.ConclusionsThe 6-senescence genes prognostic model has significant meaning for the prediction of VEN-resistance, guiding personalized molecularly targeted therapies, and improving AML prognosis.

Mitochondrial Functional Profiling Links Apoptotic Sensitivity to Treatment Outcomes Based on Age and Cell Lineage in Acute Leukemia

Background Survival outcomes in paediatric T and B cell acute lymphoblastic leukemia (ALL) are far superior to acute myeloid leukemia (AML). In addition, children with ALL and AML have better response rates than adults. While the basis for these differences in therapy outcomes is multifactorial, it is poorly understood. The majority of anticancer therapies activate apoptosis signalling to target cancer cells. The balance between pro-survival (BCL-2, BCL-XL and MCL-1) and pro-apoptotic proteins as well as evasion of apoptosis, plays a key role in cancers. Dependencies to these anti-apoptotic pro-survival proteins is a hallmark of haematopoietic malignancies and can be exploited with novel agents especially by using Venetoclax (BCL-2 inhibitor) and Navitoclax (BCL-2 and BCL-XL inhibitor) that are now available in the clinic. We hypothesized that difference in apoptosis threshold (priming) based on cell lineage and patient age offers key functional insights into the differences in outcomes as well as gives us an in vitro window to assess inherent BCL-2 or BCL-XL dependencies that can be targeted. Methods We prospectively and retrospectively examined functional regulation of apoptosis by performing a BH3 profiling assay on leukemia patient specimens from two tertiary cancer centres in Singapore. Since BCL-2 family consists of different anti-apoptotic proteins, we asked whether protection from specific pro-survival BCL-2 family proteins such as BCL-2, BCL-XL or MCL-1, predicted by sensitivity to BAD, HRK and MS-1 peptide, respectively, contribute to overall difference in apoptotic sensitivity between lymphoid and myeloid precursors. We also aimed to determine dominant factors that govern differences in clinical chemosensitivity to lymphoid compared to myeloid tumours. Blasts isolated via flow cytometry from bone-marrow aspirate (BMA) or peripheral blood were exposed to a variety of pro-apoptotic BH3 peptides to measure mitochondrial outer membrane permeabilization (cytochrome c release). The percentage of cytochrome c loss with each BH3 peptide at different concentrations was normalized to the cytochrome c release from negative control DMSO wells. Assays were performed in triplicate. Alamethacin was used as positive control. Flow cytometric data was acquired with a BD analyser, analysed with FlowJo and plotted in GraphPad Prism. Results Initial analysis of seventy one patient samples are presented here (40 AML, 17 T-ALL, 12 B-ALL and 2 MPAL). Lymphoblasts showed significantly increased apoptotic sensitivity as measured by Bim response compared to myeloblasts (p&amp;lt;0.001). We found lymphoblasts to be significantly more dependent on BCL-2 and BCL-XL compared to myeloblasts (p&amp;lt;0.001). Higher MCL-1 dependence was also noted in B-ALL cells as compared to AML (p&amp;lt;0.05). We next asked if apoptotic sensitivity measured by mitochondrial priming could explain higher chemosensitivity of pediatric over adult patients. Indeed we noted increase in overall priming in paediatric (N=26) as compared to adults (N=36) irrespective of cell of origin (P&amp;lt;0.001). Within the AML cohort, we found pediatric AML (N=8) to be more sensitive to Bim peptide compared to adults (N=32), as well as showed closer proximity to apoptosis (p&amp;lt;0.05). Of note there were no differences in overall priming or selective dependencies between diagnosis and relapse/refractory (R/R) patients in AML or ALL cohorts. By using blasts of AML and +ALL patients (N=15), we found that increased mitochondrial priming response to HRK+MS1 peptides (which infer BCL-XL and MCL-1 dependence respectively) inversely correlated with achievement of remission with venetoclax based therapy (p&amp;lt;0.001). Mitochondrial sensitivity to MS-1 peptide, increased from pre-treatment to on treatment to relapse (N=3/3 patients) in sequential samples for three patients suggesting an opportunity for the use of MCL-1 inhibition in relapse setting. Conclusion Our study shows increased overall priming in lymphoblast as compared with myeloblast and in pediatric as compared to blasts from adult leukaemia specimens. These findings offer a functional window to further explain differences in outcomes in leukaemia in different ages as well as lineages. Innovative trial designs incorporating cellular vulnerabilities to anti-apoptotic proteins using functional BH3 profiling as an accessory biomarker will enable improved treatment outcomes with reduced toxicity.

Komet-008: A Phase 1 Study to Determine the Safety and Tolerability of Ziftomenib Combinations for the Treatment of KMT2A-Rearranged or NPM1-Mutant Relapsed/Refractory Acute Myeloid Leukemia

Background and Significance: Relapsed or refractory (R/R) acute myeloid leukemia (AML) with nucleophosmin 1-mutations ( NPM1-m) or KMT2A-rearrangment ( KMT2A-r) remain a high unmet need. Ziftomenib is a potent and selective inhibitor of the interaction between menin and mixed-lineage leukemia (MLL) lysine[K]-specific methyltransferase 2A ( KMT2A), which drives leukemogenesis in these subtypes. Preclinical data have demonstrated ziftomenib's ability to target multiple types of menin-dependent AML clones, and that the antitumor activity of ziftomenib and other menin inhibitors in cell-derived xenograft (CDX) and patient-derived xenograft (PDX) models of KMT2A-r and NPM1-m AML is enhanced by the addition of FLT3 inhibitors such as gilteritinib and quizartinib. An ongoing Phase 1/2 study (KOMET-001) in R/R AML has demonstrated that ziftomenib monotherapy is safe and well tolerated and that the clinical activity at the recommended phase 2 dose (RP2D) is robust, as the rates of response were not affected by the presence of downstream co-mutations, such as FLT3 and IDH1 or IDH2. Given the monotherapy activity seen to date, the development of ziftomenib in combination with standard-of-care (SOC) chemotherapies or FLT3 inhibitors may provide increased clinical benefit for R/R AML patients with KMT2A-r or with NPM1-m with or without concurrent FLT3-mutations ( FLT3-m) and warrants further investigation. Study Design and Methods: KOMET-008 (NCT# 05735184) is an open-label, dose escalation and expansion study to determine the safety, tolerability, and preliminary efficacy of ziftomenib when combined with SOC regimens for the treatment of either NPM1-m (Arm A) or KMT2A-r (Arm B) R/R AML. Each genetically defined arm will evaluate ziftomenib in combination with various SOC treatments in separate and independent cohorts, as outlined below: Arm A:NPM1-m R/R AML Cohort A-1: Ziftomenib plus FLAG-IDACohort A-2: Ziftomenib plus LDACCohort A-3: Ziftomenib plus gilteritinib (for NPM1-m + FLT3-m R/R AML) Arm B: KMT2A-r R/R AML Cohort B-1: Ziftomenib plus FLAG-IDACohort B-2: Ziftomenib plus LDAC The Part 1a dose escalation uses a i3+3 design, followed by dose expansion/validation in Part 1b. Key eligibility criteria include adults (≥18 years) with documented NPM1-m (±co-occurring FLT3-m) or KMT2A-r R/R AML, ECOG ≤2, prior hematopoietic stem cell transplant (HSCT) allowed, if recovered and prior gilteritinib allowed. Patients who receive an HSCT during study participation will be allowed to receive ziftomenib maintenance therapy upon recovery. The primary objectives are to establish the safety and tolerability of ziftomenib when combined with SOC therapies (ie, dose limiting toxicities, AEs per CTCAE v5.0) and to identify the RP2D of ziftomenib for each SOC combination in each genetically defined cohort. Secondary endpoints include preliminary efficacy (including MRD-negative responses and number of patients able to receive stem cell transplant) and pharmacokinetics. Exploratory end points include biomarkers for efficacy and resistance and pharmacodynamic biomarkers potentially related to the activity of ziftomenib when combined with SOC treatments in adults with R/R AML with NPM1-m or KMT2A-r.

Clinical Characteristics and Outcomes of Myeloid Neoplasms with Mecom Rearrangement: Results from a Nationwide Multicenter Study

MECOM rearrangements are detected in myeloid neoplasms [myelodysplastic neoplasm (MDS) and acute myeloid leukemia (AML)] which are associated with dismal prognosis. Classic MECOM rearrangements include inv(3)(q21q26.2) and t(3;3)(q21;q26) while non-classic subtypes are 3q26.2/ MECOM rearrangement with other partners. Both classic and non-classic rearrangements result in MECOM overexpression which involves in the process of leukemogenesis. Recently, the World Health Organization classification 2022 categorized myeloid neoplasms with these genetic abnormalities as “AML with MECOM rearrangement” regardless of blast count. We aim to explore frequency, clinical characteristics and outcomes including treatment response in this AML subtype among Thai myeloid neoplasms. AML data was collected from a national registry which were conducted by Thai acute leukemia working group. Other than AML with MECOM rearrangements, AML was categorized as favorable, intermediate, and adverse risk groups according to European Leukemia Network 2022. MDS data was collected from a multicenter study group involving 4 medical centers. Other than MDS with MECOM rearrangements, MDS was categorized into 5 risk groups according to R-IPSS score system (very low, low, intermediate, high and very high-risk groups). Myeloid neoplasms with MECOM rearrangements were analyzed among their diseases and grouped together and compared to MDS and AML cohorts. A total of 9 cases of myeloid neoplasms with MECOM rearrangement were detected. Among non-M3 AML cases, there were 6 cases with MECOM rearrangement from 746 non-M3 AML (0.8%) while 3 cases were detected in 163 MDS (1.8%). Seven of 9 cases (78%) were female gender. Five of 9 cases were classic MECOM rearrangement [1 case with inv(3)(q21q26.2) and 4 cases with t(3;3)(q21;q26)] while the other 4 cases were non-classic rearrangements [3 cases with t(3;21)(q26.2;q22) and 1 case with t(3;7)(q26;q21)]. In the AML cohort, AML with MECOM rearrangement showed lower white blood cell, but higher platelet counts compared to other groups (favorable, intermediate, and adverse risk groups) ( Table 1). Among AML cases receiving intensive chemotherapy, MECOM rearrangement subgroup showed lower complete response (CR) rate compared to others favorable, intermediate, and adverse risk groups. (0% vs. 77.3% vs. 37.6% vs. 23.8%; p&amp;lt;0.001). Of note, among 6 AML with MECOM rearrangement, there were 4 patients who received intensive chemotherapy but none of them responded to the treatment. In the MDS cohort, MDS with MECOM rearrangement showed lower hemoglobin and platelet counts compared to other groups ( Table 2). Among 3 MDS with MECOM rearrangement, one patient received azacitidine with investigational drug (sabatolimab/placebo) and achieved complete hematologic response. He eventually progressed after 12 cycles of the treatments and subsequently died. When combining 3 MDS and 6 AML with MECOM rearrangement as one group and compared survival rate with others: survival rate of 9 myeloid neoplasms with MECOM rearrangementis worse than the adverse group of AML and the very high risk group MDS with a 1-year survival rate of 22% ( Figure 1 and 2). In conclusion, myeloid neoplasms with MECOM rearrangements are rare with the frequency of 0.8% in non-M3 AML and 1.8% in MDS. This subtype is more common in female gender. The prognosis of myeloid neoplasms with MECOM rearrangement is dismal with a 1-year survival rate of 16.7% in AML and 6-month survival rate of 33% in MDS. Chemotherapy should be avoided in this subtype due to non-responsiveness, hypomethylating agent showed benefit and can be considered as a bridging treatment before stem cell transplantation. Novel therapy targeting MECOM gene should be further explored to improve outcomes in this AML subtype.

Cebpβ/IL1/TNFα Positive Feedback Loop Drives Drug Resistance of BCL2 and MDM2 Inhibitors in Monocytic Leukemia Cells

Introduction:Ventoclax-based combinations have emerged as a new standard of care for patients with acute myeloid leukemia (AML) who are not suitable for intense chemotherapy. Not all patients respond to these treatments, and those who do may relapse. MDM2 inhibitors are promising therapeutics for treating TP53 wild-type tumors, including most de novo AML cases, with numerous compounds currently in pre-clinical and clinical evaluation. However, clinical trials of MDM2 inhibitors have shown modest and variable clinical activity. Functional genomic data showed that monocytic leukemia (FAB M4/M5) is resistant to venetoclax-based therapies and MDM2 inhibitors. Notably, venetoclax and an MDM2 inhibitor, idasanutlin, demonstrated a strong positive correlation in the Beat AML cohort. We hypothesize that upregulation of certain myeloid transcription factors in monocytic leukemia may confer intrinsic resistance to BCL2 and MDM2 inhibitors, while certain environmental cues upregulated in these cells may confer extrinsic drug resistance. Additionally, there may be crosstalk between these intrinsic and extrinsic mechanisms. Methods: We performed differential expression gene (DEG) analysis of transcription factors (TFs) between M4/M5 and M0/M1 samples in the Beat AML and TCGA AML cohort. We overexpressed seven myeloid TFs (SPI1, CEBPB, CEBPD, JUNB, IRF8, KLF4, and MAFB) that are upregulated in M4/M5 and performed competitive drug assays. We treated M4/M5 and M0/M1 samples with venetoclax and idasanutlin, in the presence of a panel of myeloid cytokines and measured cell viabilities. A Luminex assay on monocyte supernatants from M4/M5 and M0/M1 AML samples were conducted to identify dysregulated cytokines. Furthermore, RNAseq DEG and immunoblot analysis were performed on CEBPB-overexpressing cell lines and IL-1-treated AML samples to elucidate the underlying mechanisms. Results: CEBPB overexpression conferred drug resistance to a broad range of BH3 mimetics, venetoclax combinations, and MDM2 inhibitors. RNA-seq and immunoblot analyses demonstrated that CEBPB overexpression downregulated CASP3, CASP6, BCL2, and TP53 pathway targets (CDKN1A, PMAIP1, BBC3, BMF, TP53), while upregulated MCL1, BCL2A1, and the NF-κB/IL-1/TNF pathway at transcription and/or translation levels. Phenotyping analysis showed that CEBPB overexpression drives myelo/monocytic differentiation. In accordance, CEBPB expression in primary AML correlates with drug responses of idasanutlin, venetoclax, and many venetoclax combinations. Additionally, primary monocytic leukemia expresses significantly higher levels of IL-1/TNF family genes, BCL2A1, and reduced CASP3, CASP6, and BCL2. Abnormal monocytes, but not granulocytes, T cells, or blasts from M4/M5 leukemia, extrinsically protect leukemia blasts from venetoclax and MDM2 inhibition by secreting elevated IL-1 and TNFα. IL-1β/TNFα treatment drove myelo/monocytic differentiation and up-regulated inflammatory cytokines, including an autoregulatory loop, as well as a number of cytokine receptors, such as IL1R1, TNFRSF1R, TNFRSF2R, and CSF2RB. Remarkably, IL-1α/IL-1β and TNFα uniquely upregulated CEBPB expression in M4/M5 cells and protected them from apoptosis induced by venetoclax and MDM2 inhibitors. Conversely, TNFα treatment induced augmented extrinsic apoptosis in M0/M1 leukemia cells. Interestingly, treatment with venetoclax and idasanutlin led to a feedback upregulation of CEBPB, IL-1β, and/or TNFα, along with their respective receptors, and promoted myelomonocytic differentiation. IL-1/TNFα antagonists or an IRAK inhibitor alone did not kill leukemia cells, but they showed synergistic cytotoxicity when combined with venetoclax and idasanutlin. Conclusions: In summary, we have described a positive feedback loop between CEBPB, IL-1/TNFα, and monocytic differentiation in monocytic leukemia that contributes to intrinsic and extrinsic drug resistance against BCL2 and MDM2 inhibitors. This crosstalk and the consequent drug resistance are further reinforced by venetoclax/MDM2 inhibition treatment. Combining venetoclax or idasanutlin with IL-1/TNFα antagonists or an IRAK inhibitor can abrogate the feedback loop and induce synergistic cytotoxic effects, offering promising therapeutic strategies to enhance the treatment efficacy of venetoclax and MDM2 inhibitors for monocytic leukemia.

Impact of Socioeconomic Disparities on Outcomes in Adults Undergoing Allogeneic Hematopoietic Cell Transplantation for Acute Myeloid Leukemia

Introduction: It is increasingly recognized that racial and socioeconomic disparities play an important prognostic role and contribute to differences in outcomes in adults receiving chemotherapy for acute myeloid leukemia (AML). Structural racism has also been implicated in limiting access to allogeneic hematopoietic cell transplantation (HCT). However, it is unclear to what degree racial and socioeconomic disparities impact post-HCT outcomes of patients with AML in contemporary practice. To address this uncertainty, we investigated the impact of socioeconomic, racial, and non-biologic disparities on outcomes in a large cohort of adults with AML undergoing allogeneic HCT while in first or second morphologic remission. Methods: We identified 1,004 adults with AML (2022 ICC criteria) who underwent allogeneic HCT between 5/2006 and 10/2021 at a single large university-affiliated cancer center. Data was collected on each patient's individual socioeconomic status (SES), including occupation, insurance type, and education attainment. Distance traveled, marital status, household size, country of birth, and religious affiliation were also recorded. Each occupation was classified by the International Socio-Economic Index (ISEI), a standard index of occupational status. Area-level SES was analyzed through the Area Deprivation Index (ADI), a validated measure of socioeconomic disadvantage which corresponds to U.S. census tract measurements. Collected HCT variables include the AML treatment-related mortality score (TRM), pre-HCT flow cytometric MRD status, HLA donor status, cytogenetic risk, conditioning regimen intensity, and incidence of severe acute and chronic graft-vs-host disease. Measured outcomes include non-relapse mortality (NRM), overall survival (OS), relapse, and relapse free survival (RFS). Cause-specific hazard models were used for univariate and multivariable regression analysis and C-statistics were calculated to quantify each model's ability to predict outcomes. Results: In univariate analysis, none of the socioeconomic or non-biologic factors were significantly associated with NRM, and all had poor predictive performance, with C-statistics not exceeding 0.53 for: marital status, larger household size (i.e., patients with children), distance traveled, ISEI, ADI, insurance status, educational attainment, or country of birth. TRM score (P&amp;lt;0.001), non-myeloablative conditioning (P&amp;lt;0.001), reduced intensity conditioning (P&amp;lt;0.001), CR2 (P=0.017) and marital status (P=0.014) were significantly associated with NRM in a multivariable model, but predictive performance of this model was only fair (C=0.69; Table 1). Marital status was only associated with NRM after multivariable adjustment but not on univariate evaluation, possibly because married patients were, on average, older (P&amp;lt;0.001), more likely to be male (P&amp;lt;0.001), and have higher occupational status/ISEI (P&amp;lt;0.001) and TRM scores (P&amp;lt;0.001), with age and sex as likely confounders (Table 2). African American patients (n=14) were found to have worse NRM in both univariate (P=0.036) and multivariate (P=0.024) models, consistent with previously identified racial/ethnic disparities in AML cohorts. Similar results were found for SES and non-biologic variables in regards to OS, relapse, and RFS. Notable exceptions after multivariable adjustment include: ADI was significantly associated with OS (P=0.036) and RFS (P=0.044) and marital status was not significantly associated with OS or relapse. Additional analyses demonstrated that ISEI and ADI were not associated with increased TRM or HLA donor status. Finally, distance traveled decreased in HCT recipients post-2013 (P&amp;lt;0.003), though the number of AML-related transplants remained unchanged. Conclusion: In this retrospective, single center analysis, socioeconomic and non-biologic factors had very limited impact on outcomes following allografting for adults with AML. While reassuring, patients able to undergo allogeneic HCT are highly selected (e.g. need for caregiver, insurance, etc.) possibly accounting for this finding, as could integrated, multidisciplinary cancer care networks and longitudinal care coordination post-HCT. Further research is needed to investigate disparities among HCT-eligible patients and improve access to HCT with a focus on reducing racial/ethnic disparities.

Identification of Acute Myeloid Leukemia Cell Surface Therapeutic Targets Using Single Cell RNA Sequencing Supported By Surface Proteomics

Background: Acute myeloid leukemia (AML) comprises diverse genomic subgroups and remains hard to treat in most patients. Despite breakthroughs in the therapeutic arsenal in recent years, clinical usage of therapeutic antibodies or chimeric antigen receptor T (CAR-T) cells has been lagging in contrast to other hematological malignancies. In fact, CD33 represents the only antibody-based strategy approved for this disease to date, highlighting the need to identify new promising targets. AML cells span a wide range of aberrant myeloid differentiation programs, complexifying the identification, by bulk genomics, of targets expressed in the most immature leukemic cells. Aims and Methods: To identify the expression landscape of surface proteins in immature leukemic cells, we performed single-cell RNA sequencing (scRNA-seq, 10x 3' Reagent Kits) of primary human AML cells from 20 specimens of the Leucegene cohort enriched in intermediate and adverse genetic backgrounds ( KMT2A-rearranged n=5, chromosome 5 and/or 7 deletions (abn5/7, n=5) complex karyotype (n=4), NPM1/DNMT3A/FLT3-ITD triple-mutant (n=3) and others (n=3)). A Random Forest classifier was developed to unbiasedly classify AML cells into distinct differentiation stages using normal bone marrow-derived scRNA-seq data from the Human Cell Atlas (HCA) consortium. Genes were scored based on their probability of coding for proteins expressed at the cell surface using the SPAT algorithm developed by our group (https://doi.org/10.1101/2023.07.07.547075), retaining high score ones. To validate surface expression, we concomitantly analyzed the surface proteome (hereafter named surfaceome) of 100 primary human AML samples from the Leucegene cohort, including all 20 samples profiled by scRNA-seq. Results: After quality control, we profiled and characterized 103 690 high quality cells (mean of 5185 cells/sample). We trained a Random Forest classifier to annotate cells in a two step process, first identifying plasma cells based on a restricted list of genes abundantly expressed in these cells and subsequently assigning the remaining cells to one of 33 cell types. We performed a five-fold cross validation of the model and subsequently determined the accuracy of our classifier to be 92% on the test subset of the HCA data. Applied to our AML cell collection, a total of 35 053 cells (34%) were unbiasedly classified as Hematopoietic Stem Cell (HSC)-like, corresponding to the most phenotypically immature leukemic cells in each patient sample (ranging from 4 to 74 %). Accordingly, HSC-like AML cells preferentially express genes associated with normal HSCs, such as CD34, FAM30A, and SPINK2, and globally lack expression of mature lineages defining genes, further validating our classifier. The proportion of HSC-like cells varied among AML subgroups, and was lowest in KMT2A-r AML (median 19%) and highest in abn5/7 samples (46%). Integration of our AML atlas using Harmony algorithm preserved differentiation hierarchies across samples, with most cell types, including HSC-like cells, occupying a defined area in the low dimensional embedding. To identify new surface antigens specifically expressed in immature leukemic cells, we compared the high (≥8) SPAT score gene expression profile of AML HSC-like cells with that of normal HSC cells (HCA), and identified 60 genes significantly overexpressed in AML immature cells. Of those, 39 genes were also detected at the protein level by the surfaceome analysis, supporting their predicted expression at the cell surface in AML samples. 59% of these 39 genes (n=23) were detected in over 80% of the specimens analyzed by the surfaceome, and thus are nearly universally expressed in our AML cohort. To identify targets of therapies that could be repurposed, we next evaluated the relevance of our findings by querying the Thera-SAbDab database. Most interestingly, 8 of the 39 AML specific HSC markers are targeted by therapeutic antibodies FDA-approved or in clinical trials for the treatment of AML (n=4, IL3RA, FLT3, CD37 and TNFRSF10B) or other indications (n = 4). Conclusion Our genetically diverse AML single-cell atlas, supported by mass spectrometry, enables the identification of both subset-specific and pan-AML surface protein genes. These represent potential targets for antibody based strategy development or therapy repurposing in AML.

Ubtf tandem Duplications Define a Novel Subtype of Acute Myeloid Leukemia Associated with Younger Age, WT1 Mutations and HOXA9 Marked Overexpression

Background Upstream Binding Transcription Factor ( UBTF) gene plays an important role in ribosomal RNA transcription. UBTF tandem duplications (TD) have been recently described as a recurrent genetic lesion in acute myeloid leukemia (AML). UBTF-TDs appear to be mutually exclusive with other class-defining lesions in AML and display a unique comutational signature. UBTF-mutated AML affects predominantly younger patients and is associated with trisomy 8, internal tandem duplication of FLT3 ( FLT3-ITD), mutations in WT1 and poor prognosis. Moreover, HOX and MEIS genes seem to be overexpressed in AML with UBTF-TD similarly to NPM1-mutated ( NPM1m) or KMT2A-rearragend ( KMT2Ar) AML, suggesting potential sensitivity to menin inhibitors. In this study we sought to characterize UBTF-TDs in our AML cohort. Methods We studied 456 adult patients (median age 54 years; range 18-70) diagnosed with de novo AML and included in AML-12 protocol from CETLAM group. All patients from the 2012-2017 period (n=403) were consecutively studied and we also selected 53 cases of WT1-mutated AML from the 2017-2020 period, given the strong association with UBTF-TD. Screening for UBTF-TD was performed on bone marrow (BM) or peripheral blood (PB) genomic DNA samples. Exon 13 of UBTF gene was amplified and analysed by Polymerase chain reaction (PCR) and subsequent fragment length analysis by capillary electrophoresis. Mutated samples were confirmed through Sanger sequencing. Further, RNA from 9 UBTF-TD cases was available and HOXA9 and MEIS1 gene expression analysis was performed by Real-Time Polymerase Chain Reaction (RT-qPCR). Clinical and biological data were obtained from CETLAM registry. Results UBTF-TD was found in 13 patients from our cohort whose characteristics are detailed in Table 1. UBTF-TDs range from 45 base pairs (bp) to 365 bp, being the 48 bp the most recurring size. As described, although small UBTF-TDs are in frame insertions, the largest ones are not multiple of 3. Notably, most UBTF-TDs presented small insertions and deletions among the duplication. Presence of UBTF-TD was associated with younger age (36 vs 55 years; p&amp;lt;0.001) and BM dysplastic changes (80% of U BTFMUT). UBTF-TD was particularly frequent (8.9% of all cases) in patients below 40 years, compared to other lesions as CEBPA mutations (1.1%). Eleven (85%) U BTFMUT patients presented intermediate cytogenetics, being trisomy 8 (5), normal karyotype (3) and 9q deletion (2) the most recurrent findings. Two cases of adverse karyotype with MECOM-rearrangements were found. As previously described, there was a strong association between UBTF-TD and of FLT3-ITD (38.5%). Other recurrent genetic lesions in AML like NPM1 and CEBPA mutations or core-binding factor (CBF) rearrangements were exclusive of UBTF wild type patients. Further, we found that UBTFMUT leukemias showed marked overexpression of HOXA9 compared with other AML subtypes (22.1-fold vs 5.0-fold; p&amp;lt;0.001; Fig. 1) and similar to NPM1m AML (22.3-fold). On the other hand, MEIS expression did not differ significantly among groups. Conclusions In our cohort of adult AML patients, UBTF-TDs are found in 1.8% of cases and are especially frequent in younger individuals in absence of other class-defining genetic lesions. The presence of UBTF-TD is strongly associated with cytomorphological dysplasia and co-occurrence of FLT3-ITD and WT1 mutations, while NPM1 and CEBPA mutations and CBF rearrangements appear to be mutually exclusive. HOXA9 upregulation could be a leukemogenic event in UBTF-TD AML, as described in NPM1-m and KMT2A-r AML, suggesting potential utility of menin inhibitors in this subset of patients. Screening for UBTF-TD is going to be incorporated in our molecular diagnostic panel for new AML cases.