Integrative analysis of drug response and clinical outcome in acute myeloid leukemia

Therapeutic hurdles in acute myeloid leukemia: Leukemic stem cells, inflammation and immune dysfunction

Acute myeloid leukemia (AML) is an aggressive and highly heterogeneous hematological malignancy characterized by clonal expansion and differentiation arrest in myeloid progenitor cells. Despite advancements in chemotherapy, allogeneic hematopoietic stem cell transplantation, and post-remission maintenance therapies, the long-term survival remains unsatisfactory with high rates of relapse and refractory. These therapeutic challenges are mediated by multiple factors, including the complexity of the cellular hierarchies in AML, the interaction of leukemic stem cells (LSCs) with the bone marrow niche, inflammation, and immune evasion mechanisms. Further, the absence of specific surface markers that distinguish LSCs from normal hematopoietic stem cells, together with LSCs' functional heterogeneity, complicates targeted treatment approaches. Immune dysfunction, including T cell exhaustion and immune suppression within the bone marrow niche contributes to therapy resistance. In this brief review, we aim to explore current challenges in AML therapy, focusing on LSC-driven resistance, immune evasion, and the need for innovative therapeutic strategies.

Impact of secondary-type mutations on the prognosis of AML patients with NPM1 mutation: a systematic review and meta-analysis

Nucleophosmin 1 (NPM1) mutation is commonly associated with a favorable prognosis in acute myeloid leukemia (AML). Conversely, secondary mutations such as those in ASXL1, RUNX1, EZH2, and SRSF2 are generally linked to poor outcomes. The combined prognostic impact of NPM1 and secondary mutations in AML patients remains unclear. This meta-analysis aimed to evaluate the prognostic significance of secondary mutations in AML patients harboring NPM1 mutation. A systematic literature search was conducted following PRISMA guidelines, identifying studies published up to June 2024 from databases such as PubMed, Web of Science, and the Cochrane Library. The inclusion criteria included adult AML patients with confirmed NPM1 mutation, detailed reporting of secondary mutations, and comparative prognostic outcomes. Fourteen high-quality studies from twelve publications were included, encompassing 4,022 patients who all carried NPM1 mutations; among these, 618 also harbored secondary mutations. Data extraction and quality assessment were performed independently by two researchers via the Newcastle-Ottawa Scale (NOS). Statistical analyses involved fixed-effects models due to low heterogeneity (I²=0% for OS and I²=35% for EFS/RFS). Publication bias and sensitivity analyses confirmed the robustness of the findings. Secondary mutations were not significantly associated with OS (HR = 1.16, 95% CI: 0.99-1.35, p = 0.07) or EFS/RFS (HR = 1.15, 95% CI: 0.96-1.38, p = 0.14) in the overall NPM1-mutated AML population. However, within the European LeukemiaNet (ELN) favorable prognosis group, the presence of secondary mutations was significantly associated with reduced OS (HR = 1.95, 95% CI: 1.39-2.73, p < 0.01). Subgroup analyses based on median age, geographical region, and allogeneic hematopoietic stem cell transplantation (allo-HSCT) rates did not reveal significant modifiers of the prognostic impact of secondary mutations. Secondary mutations do not significantly adversely affect OS or EFS/RFS in the general population of AML patients with NPM1 mutation. Notably, within the ELN favorable prognosis group, secondary mutations are associated with markedly poorer OS, highlighting the need for careful prognostic assessment and potential treatment strategy adjustments in this subset of patients.

Trisomy 8 in De Novo Acute Myeloid Leukemia Lacking MDS-Related Cytogenetics Does Not Significantly Influence Survival

INTRODUCTION

The 2022 WHO and ICC classifications identify MDS-related cytogenetic abnormalities and secondary gene mutations (SM) that in de novo disease are diagnostic of myelodysplasia-related AML, which confers a poorer prognosis. While most MDS-related abnormalities overlap between the two classifications, trisomy 8 (+8) is unique to the ICC and has not been previously included as an MDS-related abnormality. In light of this, we sought to determine the prognostic significance of +8 as an MDS-related abnormality in patients with de novo AML lacking other MDS-related cytogenetics.

METHODS

We identified 337 patients with de novo AML lacking MDS-related cytogenetics other than +8 and analyzed clinicopathologic outcomes, overall survival (OS), and relapse-free survival (RFS). Two groups were identified: AML with SM (n = 195, 57.9%) and AML without SM (n = 142, 42.1%). Fifty-nine (17.5%) patients had +8; 39 (66.1%) of these had at least one SM, while 20 (33.9%) did not.

RESULTS

Among patients treated with induction or hypomethylating agents (n = 317), OS and RFS were significantly shorter in patients with SM than without (OS: p = 0.001, RFS: p = 0.0004) but not significantly different between patients with and without +8 (OS: p = 0.15, RFS: p = 0.35). Similarly, when cases were limited to those with SM (n = 179), no significant difference in OS or RFS was observed between patients with and without +8 (OS: p = 0.21, RFS: p = 0.30). There was no significant association between +8 and SM (p = 0.15).

CONCLUSION

In our cohort, unlike MDS-related SM, trisomy 8 does not influence OS or RFS, despite its inclusion in the ICC as an MDS-related abnormality.

A CEBPB/IL-1β/TNF-α feedback loop drives drug resistance to venetoclax and MDM2 inhibitors in monocytic leukemia

ABSTRAT

MDM2 inhibitors are promising therapeutics for acute myeloid leukemia (AML) with wild-type TP53. Through an integrated analysis of functional genomic data from primary patient samples, we found that an MDM2 inhibitor, idasanutlin, like venetoclax, is ineffective against monocytic leukemia (French-American-British [FAB] subtype M4/M5). To dissect the underlying resistance mechanisms, we explored both intrinsic and extrinsic factors. We found that monocytic leukemia cells express elevated levels of CEBPB, which promote monocytic differentiation, suppress CASP3 and CASP6, and upregulate MCL1, BCL2A1, and the interleukin (IL-1)/tumor necrosis factor alpha (TNF-α)/NF-κB pathway members, thereby conferring drug resistance to a broad range of MDM2 inhibitors, BH3 mimetics, and venetoclax combinations. In addition, aberrant monocytes in M4/M5 leukemia produce elevated levels of IL-1 and TNF-α, which promote monocytic differentiation and upregulate inflammatory cytokines and receptors, thereby extrinsically protecting leukemia blasts from venetoclax and MDM2 inhibition. Interestingly, IL-1β and TNF-α only increase CEBPB levels and protect M4/M5 cells from these drugs but not M0/M1 leukemia cells. Treatment with venetoclax and idasanutlin induces compensatory upregulation of CEBPB and the IL-1/TNF-α/NF-κB pathway independent of the FAB subtype, indicating drug-induced compensatory protection mechanisms. The combination of venetoclax or idasanutlin with inhibitors that block the IL-1/TNF-α pathway demonstrates synergistic cytotoxicity in M4/M5 AML. As such, we uncovered a targetable positive feedback loop that involves CEBPB, IL-1/TNF-α, and monocyte differentiation in M4/M5 leukemia and promotes both intrinsic and extrinsic drug resistance and drug-induced protection against venetoclax and MDM2 inhibitors.

Ubiquitin-conjugating enzyme UBE2N modulates proteostasis in immunoproteasome-positive acute myeloid leukemia

Altered protein homeostasis through proteasomal degradation of ubiquitinated proteins is a hallmark of many cancers. Ubiquitination, coordinated by E1, E2, and E3 enzymes, involves up to 40 E2-conjugating enzymes in humans to specify substrates and ubiquitin linkages. In a screen for E2 dependencies in acute myeloid leukemia (AML), ubiquitin conjugating enzyme E2 N (UBE2N) emerged as the top candidate. To investigate UBE2N's role in AML, we characterized an enzymatically defective mouse model of UBE2N, revealing UBE2N's requirement in AML without an impact on normal hematopoiesis. Unlike other E2s, which mediate lysine-48 (K48) polyubiquitination and degradation of proteins, UBE2N primarily synthesizes K63-linked chains, stabilizing or altering protein function. Proteomic analyses and a whole-genome CRISPR-activation screen in pharmacologically and genetically UBE2N-inhibited AML cells unveiled a network of UBE2N-regulated proteins, many of which are implicated in cancer. UBE2N inhibition reduced their protein levels, leading to increased K48-linked ubiquitination and degradation through the immunoproteasome and revealing UBE2N activity is enriched in immunoproteasome-positive AML. Furthermore, an interactome screen identified tripartite motif-containing protein 21 (TRIM21) as the E3 ligase partnering with activated UBE2N in AML to modulate UBE2N-dependent proteostasis. In conclusion, UBE2N maintains proteostasis in AML by stabilizing target proteins through K63-linked ubiquitination and prevention of K48 ubiquitin-mediated degradation by the immunoproteasome. Thus, inhibition of UBE2N catalytic function suppresses leukemic cells through selective degradation of critical proteins in immunoproteasome-positive AML.

CLEVER-1 targeting antibody, bexmarilimab, supports HLA-DR expression and alters ex vivo responsiveness to azacitidine and venetoclax in myeloid malignancies

Treatment of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) requires new therapy options, especially for patients uneligible for intense chemotherapy or with relapsed or refractory disease. CLEVER-1 is a myeloid checkpoint protein, which can be targeted with a therapeutic function blocking antibody, bexmarilimab. Bexmarilimab has shown clinical efficacy in different solid tumors. Here, we show preclinical data demonstrating expression of CLEVER-1 on immature malignant myeloid cells and their derivates in MDS and AML bone marrow samples and AML cell lines. Highest CLEVER-1 levels were observed in AML with monocytic differentiation. Ex vivo treatment of AML/MDS bone marrow samples with bexmarilimab led to an increase in antigen-presenting human leukocyte antigen DR isotype (HLA-DR) molecule expression. Combination of bexmarilimab with current standard-of-care (SoC) drugs, azacitidine and venetoclax, showed potential for HLA-DR induction and enhanced killing of leukemic cells, respectively. Our non-clinical findings support the feasibility of CLEVER-1 inhibition in AML/MDS to induce antigen presentating molecule expression and potentially, an anti-leukemic effect together with SoC. Therapeutic targeting of CLEVER-1 with bexmarilimab is currently undergoing clinical investigation in the BEXMAB trial (NCT05428969).

Age-stratified machine learning identifies divergent prognostic significance of molecular alterations in AML

Risk stratification in acute myeloid leukemia (AML) is driven by genetics, yet patient age substantially influences therapeutic decisions. To evaluate how age alters the prognostic impact of genetic mutations, we pooled data from 3062 pediatric and adult AML patients from multiple cohorts. Signaling pathway mutations dominated in younger patients, while mutations in epigenetic regulators, spliceosome genes, and TP53 alterations became more frequent with increasing age. Machine learning models were trained to identify prognostic variables and predict complete remission and 2-year overall survival, achieving area-under-the-curve scores of 0.801 and 0.791, respectively. Using Shapley (SHAP) values, we quantified the contribution of each variable to model decisions and traced their impact across six age groups: infants, children, adolescents/young adults, adults, seniors, and elderly. The highest contributions to model decisions among genetic variables were found for alterations of NPM1, CEBPA, inv(16), and t(8;21) conferring favorable risk and alterations of TP53, RUNX1, ASXL1, del(5q), -7, and -17 conferring adverse risk, while FLT3-ITD had an ambiguous role conferring favorable treatment responses yet poor overall survival. Age significantly modified the prognostic value of genetic alterations, with no single alteration consistently predicting outcomes across all age groups. Specific alterations associated with aging such as TP53, ASXL1, or del(5q) posed a disproportionately higher risk in younger patients. These results challenge uniform risk stratification models and highlight the need for context-sensitive AML treatment strategies.

Metabolism in hematology: Technological advances open new perspectives on disease biology and treatment

The term metabolism refers to the multi-faceted biochemical reactions within a cell or an organism that occur to maintain energy homeostasis, cell growth, and oxidative balance. Cells possess a high metabolic plasticity, allowing them to adapt to the dynamic requirements of their functional state and environment. Deregulated cellular metabolism is a hallmark of many diseases, including benign and malignant hematological conditions. In the last decade, multiple technological innovations in the metabolism field have made in-depth metabolic analysis broadly applicable. Such studies are shedding new light on normal and malignant hematopoiesis and open avenues to a better understanding of the biology of hematological diseases. In this review, we will first give a brief overview of central metabolic processes. Furthermore, we discuss the most commonly used methods to study metabolism. We begin by elaborating on the use of next-generation sequencing to detect metabolism-related genomic mutations and study transcriptional signatures. Furthermore, we discuss methods for measuring protein expression, such as mass spectrometry (MS), flow cytometry, and cytometry time-of-flight. Next, we describe the use of nuclear magnetic resonance spectroscopy, MS, and flow cytometry for metabolite quantification. Finally, we highlight functional assays to probe metabolic pathways in real-time. We illustrate how these technologies and their combination have advanced our understanding of the role of metabolism. Our goal is to provide hematologists with a comprehensive guide to modern techniques in metabolism research, their benefits and disadvantages, and how they guide our understanding of disease and potentially future personalized therapy decisions.

CD200 in acute myeloid leukemia: marked upregulation in CEBPA biallelic mutated cases

CD200 is a glycoprotein that binds with its receptor CD200R, providing immunosuppressive signals to T and NK cells. CD200 is expressed by normal stem cells and progenitors committed to B-lymphopoiesis and myeloid development. CD200 biological relevance in acute leukemias is only partially understood.The study included a consecutive series of four hundred thirty-one patients with acute myeloid leukemia (AML). Immunophenotype was established by multiparametric flow cytometry, and the genetic diagnosis was performed by PCR-based methods and a targeted resequencing method covering 42 genes.66% of AML patients expressed CD200 being significantly associated with CD34 reactivity. The frequency of CD200 positivity was higher in cases with core-binding factor genetic lesions such as RUNX1-RUNX1T1 (81.3%) fusions and CBFB-MHY11 (63.2%) rearrangements and also with biallelic CEBPA mutations (100%). The molecular AML group with the lowest CD200 reactivity (19.1%) corresponded to AML with NPM1 mutations. RNA seq showed no uniform pattern of infiltrating cells in CEBPA mutated AML. Deconvolution analysis may be used to assess the immunoregulatory mechanisms of AML.CD200 expression could help identify the more immature compartment and, combined with other markers, single out CEPA-mutated AML.

Proposed Refinement of 2022 European LeukemiaNet Adverse-Risk Group of AML Patients Using a Real-World Cohort

Background/Objectives: The 2022 European LeukemiaNet (ELN 2022) is a widely used genotypic risk classification tool for the treatment and prognostication of acute myeloid leukemia (AML) patients. Our study evaluates its effectiveness in categorizing adverse-risk AML patients on standard therapy based on their overall survival (OS). Methods: We conducted a retrospective study involving 256 AML patients. Results: Those in the ELN 2022 adverse-risk group had the shortest OS (p < 0.0001) and were predominantly characterized by myelodysplasia-related (MR) mutations, complex karyotype (CK), monosomal karyotype (MK), and TP53 mutation (TP53 Mut). Subclassification and analysis of this adverse-risk group based on the TP53 Mut status revealed a significantly shorter OS compared to the adverse TP53 wild-type (TP53 WT) counterparts (p = 0.0036). We propose refining the ELN 2022 adverse-risk group into two categories, adverse TP53 Mut and adverse TP53 WT groups, to represent adverse- and ultra-adverse-risk groups, respectively. We used an external validation dataset to confirm our findings. Conclusions: This refinement allows for a more accurate classification of these adverse-risk patients based on their clinical outcomes.

Persistent postremission clonal hematopoiesis shapes the relapse trajectories of acute myeloid leukemia

ABSTRACT

Mutations found in acute myeloid leukemia (AML) such as DNMT3A, TET2, and ASXL1 can be found in the peripheral blood of healthy adults, a phenomenon termed clonal hematopoiesis (CH). These mutations are thought to represent the earliest genetic events in the evolution of AML. Genomic studies on samples acquired at diagnosis, remission, and at relapse have demonstrated significant stability of CH mutations after induction chemotherapy. Meanwhile, later mutations in genes such as NPM1 and FLT3 have been shown to contract at remission, and in the case of FLT3 often are absent at relapse. We sought to understand how early CH mutations influence subsequent evolutionary trajectories throughout remission and relapse in response to induction chemotherapy. We assembled a retrospective cohort of patients diagnosed with de novo AML at our institution that underwent genomic sequencing at diagnosis, remission, and/or relapse (total N = 182 patients). FLT3 and NPM1 mutations were generally eliminated at complete remission but subsequently reemerged upon relapse, whereas DNMT3A, TET2, and ASXL1 mutations often persisted through remission. CH-related mutations exhibited distinct constellations of co-occurring genetic alterations, with NPM1 and FLT3 mutations enriched in DNMT3Amut AML, whereas CBL and SRSF2 mutations were enriched in TET2mut and ASXL1mut AML, respectively. In the case of NPM1 and FLT3 mutations, these differences vanished at the time of complete remission yet readily reemerged upon relapse, indicating the reproducible nature of these genetic interactions. Thus, CH-associated mutations that likely precede malignant transformation subsequently shape the evolutionary trajectories of AML through diagnosis, therapy, and relapse.

Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias

Mutations in RNA splicing factors are prevalent across cancers and generate recurrently mis-spliced mRNA isoforms. Here, we identified a series of bona fide neoantigens translated from highly stereotyped splicing alterations promoted by neomorphic, leukemia-associated somatic splicing machinery mutations. We utilized feature-barcoded peptide-major histocompatibility complex (MHC) dextramers to isolate neoantigen-reactive T cell receptors (TCRs) from healthy donors, patients with active myeloid malignancy, and following curative allogeneic stem cell transplant. Neoantigen-reactive CD8+ T cells were present in the blood of patients with active cancer and had a distinct phenotype from virus-reactive T cells with evidence of impaired cytotoxic function. T cells engineered with TCRs recognizing SRSF2 mutant-induced neoantigens arising from mis-splicing events in CLK3 and RHOT2 resulted in specific recognition and cytotoxicity of SRSF2-mutant leukemia. These data identify recurrent RNA mis-splicing events as sources of actionable public neoantigens in myeloid leukemias and provide proof of concept for genetically redirecting T cells to recognize these targets.

Elastic properties of leukemic cells linked to maturation stage and integrin activation

Acute myeloid leukemia (AML) remains challenging to cure. In addition to mutations that alter cell functioning, biophysical properties are modulated by external cues. In particular, membrane proteins that interact with the bone marrow niche can induce cellular changes. Here, we develop an atomic force microscopy (AFM) approach to measure non-adherent AML cell mechanical properties. The Young's modulus of the AML cell line, THP-1, increased in response to retronectin, whereas knock-out of the adhesion protein ITGB1 resulted in no response to retronectin. Confocal microscopy revealed different actin cytoskeleton morphologies for wild-type and ITGB1 knock-out cells exposed to retronectin. These results indicate that ITGB1 mediates stimuli-induced cellular mechanoresponses through cytoskeletal changes. We next used AFM to investigate the elastic properties of primary AML cells and found that more committed cells had lower Young's moduli than immature AMLs. Overall, this provides a platform for investigating the molecular mechanisms involved in leukemic cell mechanoresponse.

Perturbing LSD1 and WNT rewires transcription to synergistically induce AML differentiation

Impaired differentiation is a hallmark of myeloid malignancies1,2. Therapies that enable cells to circumvent the differentiation block, such as all-trans retinoic acid (ATRA) and arsenic trioxide (ATO), are by and large curative in acute promyelocytic leukaemia3, but whether 'differentiation therapy' is a generalizable therapeutic approach for acute myeloid leukaemia (AML) and beyond remains incompletely understood. Here we demonstrate that simultaneous inhibition of the histone demethylase LSD1 (LSD1i) and the WNT pathway antagonist GSK3 kinase4 (GSK3i) robustly promotes therapeutic differentiation of established AML cell lines and primary human AML cells, as well as reducing tumour burden and significantly extending survival in a patient-derived xenograft mouse model. Mechanistically, this combination promotes differentiation by activating genes in the type I interferon pathway via inducing expression of transcription factors such as IRF7 (LSD1i) and the co-activator β-catenin (GSK3i), and their selective co-occupancy at targets such as STAT1, which is necessary for combination-induced differentiation. Combination treatment also suppresses the canonical, pro-oncogenic WNT pathway and cell cycle genes. Analysis of datasets from patients with AML suggests a correlation between the combination-induced transcription signature and better prognosis, highlighting clinical potential of this strategy. Collectively, this combination strategy rewires transcriptional programs to suppress stemness and to promote differentiation, which may have important therapeutic implications for AML and WNT-driven cancers beyond AML.

The involvement of cyclin-dependent kinase 7 (CDK7) and 9 (CDK9) in coordinating transcription and cell cycle checkpoint regulation

Cells regulate the expression of cell cycle-related genes, including cyclins essential for mitosis, through the transcriptional activity of the positive transcription elongation factor b (P-TEFb), a complex comprising CDK9, cyclin T, and transcription factors. P-TEFb cooperates with CDK7 to activate RNA polymerase. In response to DNA stress, the cell cycle shifts from mitosis to repair, triggering cell cycle arrest and the activation of DNA repair genes. This tight coordination between transcription, cell cycle progression, and DNA stress response is crucial for maintaining cellular integrity. Cyclin-dependent kinases CDK7 and CDK9 are central to both transcription and cell cycle regulation. CDK7 functions as the CDK-activating kinase (CAK), essential for activating other CDKs, while CDK9 acts as a critical integrator of signals from both the cell cycle and transcriptional machinery. This review elucidates the mechanisms by which CDK7 and CDK9 regulate the mitotic process and cell cycle checkpoints, emphasizing their roles in balancing cell growth, homeostasis, and DNA repair through transcriptional control.

Causal relationship between breast cancer and acute myeloid leukemia based on two-sample bidirectional Mendelian randomization and transcriptome overlap analysis

BACKGROUND

Breast cancer is the most prevalent malignancy and the leading cause of cancer-related deaths among women worldwide. Several case reports have shown that some breast cancer patients subsequently develop acute myeloid leukemia (AML) within a short period. However, the causal relationship and pathogenic mechanisms between breast cancer and AML remain incompletely understood.

METHODS

Mendelian randomization (MR) analyses were conducted to explore the bidirectional causal relationships between breast cancer and AML. Additionally, we applied the Bayesian Weighted Mendelian Randomization (BWMR) approach to validate the results of the MR analysis. Subsequently, we utilized RNA-seq data from various sources to explore the potential molecular signaling pathways between breast cancer and AML.

RESULTS

Both IVW method and BWMR approach demonstrated that data from three distinct sources consistently indicated breast cancer as a risk factor for AML, with all sources showing statistically significant results (all P < 0.05, Odds Ratios [ORs] > 1). Bioinformatic analyses suggested that extracellular vesicle functions and p53 signaling pathway may mediate molecular links between breast cancer and AML. Using machine learning, we identified 8 genes with high diagnostic efficacy for predicting the occurrence of AML in breast cancer patients.

CONCLUSIONS

MR analyses indicated a causal relationship between breast cancer and AML. Additionally, transcriptome analysis offered a theoretical basis for understanding the potential mechanisms and therapeutic targets of AML in breast cancer patients.

Tetrahydrobenzimidazole TMQ0153 targets OPA1 and restores drug sensitivity in AML via ROS-induced mitochondrial metabolic reprogramming

BACKGROUND

Acute myeloid leukemia (AML) is a highly aggressive cancer with a 5-year survival rate of less than 35%. It is characterized by significant drug resistance and abnormal energy metabolism. Mitochondrial dynamics and metabolism are crucial for AML cell survival. Mitochondrial fusion protein optic atrophy (OPA)1 is upregulated in AML patients with adverse mutations and correlates with poor prognosis.

METHOD

This study investigated targeting OPA1 with TMQ0153, a tetrahydrobenzimidazole derivative, to disrupt mitochondrial metabolism and dynamics as a novel therapeutic approach to overcome treatment resistance. Effects of TMQ0153 treatment on OPA1 and mitofusin (MFN)2 protein levels, mitochondrial morphology, and function in AML cells. In this study, we examined reactive oxygen species (ROS) production, oxidative phosphorylation (OXPHOS) inhibition, mitochondrial membrane potential (MMP) depolarization, and apoptosis. Additionally, metabolic profiling was conducted to analyze changes in metabolic pathways.

RESULTS

TMQ0153 treatment significantly reduced OPA1 and mitofusin (MFN)2 protein levels and disrupted the mitochondrial morphology and function in AML cells. This increases ROS production and inhibits OXPHOS, MMP depolarization, and caspase-dependent apoptosis. Metabolic reprogramming was observed, shifting from mitochondrial respiration to glycolysis and impaired respiratory chain activity. Profiling revealed reduced overall metabolism along with changes in the glutathione (GSH)/oxidized glutathione (GSSG) and NAD⁺/NADH redox ratios. TMQ0153 treatment reduces tumor volume and weight in MV4-11 xenografts in vivo. Combination therapies with TMQ0153 and other AML drugs significantly reduced the leukemic burden and prolonged survival in NOD scid gamma (NSG) mice xenografted with U937-luc and MOLM-14-luc cells.

CONCLUSION

TMQ0153 targets mitochondrial dynamics by inhibiting OPA1, inducing metabolic reprogramming, and triggering apoptosis in AML cells. It enhances the efficacy of existing AML therapies and provides a promising combination treatment approach that exploits mitochondrial vulnerability and metabolic reprogramming to improve treatment outcomes in AML.

Enhancing venetoclax efficacy in leukemia through association with HDAC inhibitors

Epigenetic modifications significantly influence gene expression and play crucial roles in various biological processes, including carcinogenesis. This study investigates the effects of novel purine-benzohydroxamate compounds, particularly 4 f, as hybrid kinase/histone deacetylase (HDAC) inhibitors in hematological malignancies, focusing on acute myeloid leukemia (AML). Our results demonstrate that these compounds selectively reduce cell viability in blood cancer cells, with inhibitory concentration values indicating higher potency against neoplastic cells compared to normal leukocytes. Mechanistically, 4 f induces apoptosis and cell cycle arrest, promoting differentiation in leukemia cells, while effectively inhibiting HDAC activity. Furthermore, 4 f enhances the therapeutic efficacy of venetoclax, a BCL2 inhibitor, in AML models sensitive and resistant to this drug. The combination treatment significantly increases apoptosis and reduces cell viability, suggesting a synergistic effect that may overcome drug resistance. This study provides valuable insights into the potential of HDAC inhibitors, particularly 4 f, as a promising therapeutic strategy for treating resistant hematological malignancies. Our findings underscore the importance of further exploring hybrid kinase/HDAC inhibitors in combination therapies to improve outcomes in patients with acute leukemias and other hematological malignancies.

LILRB1-directed CAR-T cells for the treatment of hematological malignancies

CD19 CAR-T cells have established a new standard for relapsed/refractory B-cell malignancies. However, the treatment fails in 50% of patients, often due to CD19 antigen loss. Alternative immunotherapies targeting other antigens are being tested but show limited efficacy, especially in cases of lineage switching or loss of B-cell phenotype, highlighting the need for novel targets. Herein, we identified leukocyte-immunoglobulin-like-receptor-B1 (LILRB1, CD85j) as a novel target for CAR-T cells through cell surface proteomics on patient-derived samples of high-risk B-cell acute lymphoblastic leukemia (B-ALL). LILRB1, an immune inhibitory receptor, is normally expressed only on monocytes and B-cells. We observed stable LILRB1 expression in B-ALL and B-cell non-Hodgkin lymphoma (B-NHL), even after CD20/CD19-based immunotherapies. LILRB1 CAR-T cells showed antigen-specific antitumor activity in vitro against B-ALL/B-NHL cells, including those resistant to CD19 CAR-T-cells, and in vivo in B-ALL xenografts. Additionally, we identified LILRB1 in monocytic acute myeloid leukemia (AML) and demonstrated LILRB1 CAR-T cell cytotoxicity against AML cell lines in vitro and in vivo. These findings establish LILRB1 as a novel target for cancer immunotherapy and show evidence for the preclinical efficacy of LILRB1 CAR-T cells against haematological malignancies, including cases resistant to previous lines of immunotherapy, thus holding promise for further clinical development.

Exome-wide association study reveals 7 functional variants associated with ex-vivo drug response in acute myeloid leukemia patients

Acute myeloid leukemia (AML) is an aggressive blood cancer characterized by poor survival outcomes. Further, due to the extreme molecular heterogeneity of the disease, drug treatment response varies from patient to patient. The variability of drug response can cause unnecessary treatment in more than half of the patients with no or partial therapy responses leading to severe side effects, monetary as well as time loss. Understanding the genetic risk factors underlying the drug response in AML can help with improved prediction of treatment responses and identification of biomarkers in addition to mechanistic insights to monitor treatment response. Here, we report the results of the first Exome-Wide Association Study (EWAS) of ex-vivo drug response performed to date with 175 AML cases and 47 drugs. We used information from 55,423 germline exonic SNPs to perform the analysis. We identified exome-wide significant (p < 9.02 × 10- 7) associations for rs113985677 in CCIN with tamoxifen response, rs115400838 in TRMT5 with idelalisib response, rs11878277 in HDGFL2 with entinostat, and rs2229092 in LTA associated with vorinostat response. Further, using multivariate genome-wide association analysis, we identified the association of rs11556165 in ATRAID, and rs11236938 in TSKU with the combined response of all 47 drugs and 29 nonchemotherapy drugs at the genome-wide significance level (p < 5 × 10- 8). Additionally, a significant association of rs35704242 in NIBAN1 was associated with the combined response for nonchemotherapy medicines (p = 2.51 × 10- 8), and BI.2536, gefitinib, and belinostat were identified as the central traits. Our study represents the first EWAS to date on ex-vivo drug response in AML and reports 7 new associated loci that help to understand the anticancer drug response in AML patients.

Breaking the Bone Marrow Barrier: Peripheral Blood as a Gateway to Measurable Residual Disease Detection in Acute Myelogenous Leukemia

Acute myeloid leukemia (AML) is a genetically heterogeneous disease with high rates of relapse after initial treatment. Identifying measurable residual disease (MRD) following initial therapy is essential to assess response, predict patient outcomes, and identify those in need of additional intervention. Currently, MRD analysis relies on invasive, serial bone marrow (BM) biopsies, which complicate sample availability and processing time and negatively impact patient experience. Additionally, finding a positive result can generate more questions than answers, causing anxiety for both the patient and the provider. Peripheral blood (PB) evaluation has shown promise in detecting MRD and is now recommended by the European Leukemia Net for AML for certain genetic abnormalities. PB-based sampling allows for more frequent testing intervals and better temporal resolution of malignant expansion while sparing patients additional invasive procedures. In this review, we will discuss the current state of PB testing for MRD evaluation with a focus on next-generation sequencing methodologies that are capable of MRD detection across AML subtypes.

Glycolysis-Driven Prognostic Model for Acute Myeloid Leukemia: Insights into the Immune Landscape and Drug Sensitivity

Background: Acute myeloid leukemia (AML), a malignant blood disease, is caused by the excessive growth of undifferentiated myeloid cells, which disrupt normal hematopoiesis and may invade several organs. Given the high heterogeneity in prognosis, identifying stable prognostic biomarkers is crucial for improved risk stratification and personalized treatment strategies. Although glycolysis has been extensively studied in cancer, its prognostic significance in AML remains unclear. Methods: Glycolysis-related prognostic genes were identified by differential expression profiles. We modeled prognostic risk by least absolute shrinkage and selection operator (LASSO) regression and validated it by Kaplan-Meier (KM) survival analysis, receiver operating characteristic (ROC) curves, and independent datasets (BeatAML2.0, GSE37642, GSE71014). Mechanisms were further explored through immune microenvironment analysis and drug sensitivity scores. Results: Differential expression and survival correlation analysis across the genes associated with glycolysis revealed multiple glycolytic genes associated with the outcomes of AML. We constructed a seven-gene prognostic model (G6PD, TFF3, GALM, SOD1, NT5E, CTH, FUT8). Kaplan-Meier analysis demonstrated significantly reduced survival in high-risk patients (hazard ratio (HR) = 3.4, p < 0.01). The model predicted the 1-, 3-, and 5-year survival outcomes, achieving area under the curve (AUC) values greater than 0.8. Immune profiling indicated distinct cellular compositions between risk groups: high-risk patients exhibited elevated monocytes and neutrophils but reduced Th1 cell infiltration. Drug sensitivity analysis showed that high-risk patients exhibited resistance to crizotinib and lapatinib but were more sensitive to motesanib. Conclusions: We established a novel glycolysis-related gene signature for AML prognosis, enabling effective risk classification. Combined with immune microenvironment analysis and drug sensitivity analysis, we screened metabolic characteristics and identified an immune signature to provide deeper insight into AML. Our findings may assist in identifying new therapeutic targets and more effective personalized treatment regimes.

A quiescence-like/TGF-β1-specific CRISPRi screen reveals drug uptake transporters as secondary targets of kinase inhibitors in AML

Relapse in acute myeloid leukemia (AML) is driven by resistant subclones that survive chemotherapy. It is assumed that these resilient leukemic cells can modify their proliferative behavior by entering a quiescent-like state, similar to healthy hematopoietic stem cells (HSCs). These dormant cells can evade the effects of cytostatic drugs that primarily target actively dividing cells. Although quiescence has been extensively studied in healthy hematopoiesis and various solid cancers, its role in AML has remained unexplored. In this study, we applied an HSC-derived quiescence-associated gene signature to an AML patient cohort and found it to be strongly correlated with poor prognosis and active TGF-β signaling. In vitro treatment with TGF-β1 induces a quiescence-like phenotype, resulting in a G0 shift and reduced sensitivity to cytarabine. To find potential therapeutic targets that prevent AML-associated quiescence and improve response to cytarabine, we conducted a comprehensive CRISPR interference (CRISPRi) screen combined with TGF-β1 stimulation. This approach identified TGFBR1 inhibitors, like vactosertib, as effective agents for preventing the G0 shift in AML cell models. However, pretreatment with vactosertib unexpectedly induced complete resistance to cytarabine. To elucidate the underlying mechanism, we performed a multi-faceted approach combining a second CRISPRi screen, liquid chromatography-tandem mass spectrometry (LC-MS/MS), and in silico analysis. Our findings revealed that TGFBR1 inhibitors unintentionally target the nucleoside transporter SLC29A1 (ENT1), leading to reduced intracellular cytarabine levels. Importantly, we found that this drug interaction is not unique to TGFBR1 inhibitors, but extends to other clinically significant kinase inhibitors, such as the FLT3 inhibitor midostaurin. These findings may have important implications for optimizing combination therapies in AML treatment.

Dynamin2 mutations in newly diagnosed acute myeloid leukemia: clinical characteristics, and prognostic significance

Acute myeloid leukemia (AML) is a highly heterogeneous myeloid malignancy which can be classified by genetic aberrations. To evaluate the impact of the dynamin 2 mutation in AML, we systematically assessed the characteristics and prognostic of DNM2 mutated patients in AML. In 912 AML patients, 20 somatic mutations in the DNM2 gene were identified among the 18 DNM2 mutated AML patients (2%). Of the mutation events, 60% (12/20) were in the dynamin central region of DNM2. DNM2mutations were preferentially occurred in AML with CEBPA mutation (11/18, 61.1%), or RUNX1::RUNX1T1 fusion gene (6/18, 33.3%). DNM2 mutations were associated with better overall survival (P = 0.028), event-free survival (P = 0.0093) and trends towards better relapse-free survival (P = 0.08), which seems potentially attribute to its coexisting with CEBPA mutation and RUNX1::RUNX1T1 fusion gene. Our study demonstrated the clinical characteristics and the role of DNM2 mutations in AML, which might facilitate understanding the pathogenesis of AML.

The first-in-Africa ex vivo drug sensitivity testing platform identifies novel drug combinations for South African leukaemia patient cohort

In South Africa, leukemia remains a major health concern, posing significant challenges in treatment due to its varied subtypes. There is an unmet need for a testing pipeline that can identify drug effects on patient samples in an ex-vivo setting. Using the pilot study with South African patient samples, this paper reports the development of a drug-sensitivity testing pipeline for studying the drug effects in leukemia patient-derived cells. Forty-one (41) patients with Acute myeloid leukemia (AML) (n = 7), Chronic myelogenous leukemia (CML) (n = 30), and Chronic lymphocytic leukemia (CLL) (n = 4) were recruited for this study. Thirty (30) FDA-approved drugs were utilized for single drug sensitivity screening (DSS) on leukemia patient-derived cells with drug concentrations (1-1000 nM). The single DSS showed a distinct sensitivity pattern with different profiles among patients of the same subtype, confirming the need for precision therapy. This study observed irinotecan, used in solid tumour treatment, demonstrated efficacy in PBMCs in many patient samples compared to conventional leukemia drugs such as nilotinib. For drug combination studies, ten clinically relevant drugs were selected and tested based on the results of single drug sensitivity tests. This pilot study marks a crucial stride towards revolutionizing leukemia treatment in South Africa through an innovative ex vivo drug sensitivity testing platform. This pioneering initiative forms the basis for tailored and effective treatment options holding promise for more personalized treatment. Further exploration and validation of these findings could significantly contribute to cancer precision medicine efforts in South Africa.

Superior preclinical efficacy of co-treatment with BRG1/BRM and FLT3 inhibitor against AML cells with FLT3 mutations

Although treatment with standard frontline therapies, including a FLT3 inhibitor (FLT3i) reduces AML burden and achieves clinical remissions, most patients with AML with FLT3 mutation relapse due to therapy-resistant stem/progenitor cells. The core ATPases, BRG1 (SMARCA4) and BRM (SMARCA2) of the canonical (c) BAF (BRG1/BRM-associated factor) complex is a dependency in AML cells, including those harboring FLT3 mutations. We have previously reported that treatment with FHD-286, a BRG1/BRM ATPases inhibitor, induces differentiation and loss of viability of AML stem/progenitor cells. Findings of present studies demonstrate that treatment with FHD-286 induces lethality in AML cells, regardless of sensitivity or resistance to FLT3i. This efficacy is associated with the induction of gene-expression perturbations responsible for growth inhibition, differentiation, as well as a reduced AML-initiating potential of the AML cells. Additionally, co-treatment with FHD-286 and FLT3i exerts superior pre-clinical efficacy against AML cells and patient-derived (PD) xenograft (PDX) models of AML with FLT3 mutations.

Elevated Lactate in the AML Bone Marrow Microenvironment Polarizes Leukemia-Associated Macrophages via GPR81 Signaling

Interactions between acute myeloid leukemia (AML) and the bone marrow microenvironment (BMME) are critical to leukemia progression and chemoresistance. In the solid tumor microenvironment, altered metabolite levels contribute to cancer progression. We performed a metabolomic analysis of AML patient bone marrow serum, revealing increased metabolites compared to age- and sex-matched controls. The most highly elevated metabolite in the AML BMME was lactate. Lactate signaling in solid tumors induces immunosuppressive tumor-associated macrophages and correlates with poor prognosis. This has not yet been studied in the leukemic BMME. Herein, we describe the role of lactate in the polarization of leukemia-associated macrophages (LAMs). Using a murine AML model of blast crisis chronic myelogenous leukemia (bcCML), we characterize the suppressive phenotype of LAMs by surface markers, transcriptomics, and cytokine profiling. Then, mice genetically lacking GPR81, the extracellular lactate receptor, were used to demonstrate GPR81 signaling as a mechanism of both the polarization of LAMs and the direct support of leukemia cells. Furthermore, elevated lactate diminished the function of hematopoietic progenitors and reduced stromal support for normal hematopoiesis. We report microenvironmental lactate as a mechanism of AML-induced immunosuppression and leukemic progression, thus identifying GPR81 signaling as an exciting and novel therapeutic target for treating this devastating disease.

PSPC1 exerts an oncogenic role in AML by regulating a leukemic transcription program in cooperation with PU.1

Acute myeloid leukemia (AML) is an aggressive hematopoietic malignancy characterized by the blockage of myeloid cell differentiation and uncontrolled proliferation of immature myeloid cells. Here, we show that paraspeckle component 1 (PSPC1) is aberrantly overexpressed and associated with poor survival in AML patients. Using human AML cells and mouse models, we demonstrate that PSPC1 is not required for normal hematopoiesis, but it is critical and essential for AML cells to maintain their leukemic characteristics. PSPC1 loss induces robust differentiation, suppresses proliferation, and abolishes leukemogenesis in diverse AML cells. Mechanistically, PSPC1 exerts a pro-leukemia effect by regulating a unique leukemic transcription program via cooperative chromatin binding with PU.1 and activation of tumor-promoting genes, including NDC1, which is not previously implicated in AML. Our findings uncover a unique and crucial role of PSPC1 dependency in AML and highlight its potential as a promising therapeutic target for AML.

The synergistic effect of c-Myb hyperactivation and Pu.1 deficiency induces Pelger-Huët anomaly and promotes sAML

Approximately 30% of patients with myelodysplastic syndrome (MDS) progress to secondary acute myeloid leukemia (sAML) via accumulating gene mutations. Genomic analyses reveal a complex interplay among mutant genes, with co-occurring and mutually exclusive patterns. Hyperactivation of c-MYB and deficiency of PU.1 have been linked to myeloid disorders. We report a case of AML with concurrent PU.1 and c-MYB mutations, exhibiting early onset, high blast count, chemo-resistance, indicating high-risk features, along with elevated Pelger-Huët anomaly (PHA). However, the synergistic mechanism of c-MYB and PU.1 in sAML remains unclear. Using c-Myb-hyperactivation and Pu.1-deficient double-strain (c-mybhyper;pu.1G242D/G242D) zebrafish, we investigated MDS/sAML progression. Surprisingly, the double mutant exhibited a distinct type of neutrophil resembling clinical PHA cells and demonstrated a higher rate of MDS/sAML transformation. Further expression analysis revealed reduced lmnb1 expression in double-mutant zebrafish. Knockdown of lmnb1 resulted in PHA and increased blast cells, while overexpression of lmnb1 in c-mybhyper;pu.1G242D/G242D reduced PHA cell level. This suggests that c-Myb hyperactivation and Pu.1 deficiency synergistically reduce lmnb1 expression, inducing the development of PHA-like neutrophils and promoting MDS/sAML progression in zebrafish. Moreover, coadministration of cell cycle inhibitor cytarabine (Ara-C) and the differential inducer all-trans retinoic acid (ATRA) could effectively relieve the neutrophil expansion and PHA symptoms in c-mybhyper;pu.1G242D/G242D zebrafish. Our findings revealed that c-Myb hyperactivation and Pu.1 deficiency played a synergistic role in sAML development and suggests a phenotypic association between the emergence of PH-like cells and the transformation to sAML. Furthermore, c-mybhyper;pu.1G242D/G242D zebrafish might serve as a suitable sAML model for drug screening.

The Crossroads of Clonal Evolution, Differentiation Hierarchy, and Ontogeny in Leukemia Development

SIGNIFICANCE

In recent years, remarkable technological advances have illuminated aspects of the pathogenesis of myeloid malignancies-yet outcomes for patients with these devastating diseases have not significantly improved. We posit that a synthesized view of the three dimensions through which hematopoietic cells transit during their healthy and diseased life-clonal evolution, stem cell hierarchy, and ontogeny-promises high yields in new insights into disease pathogenesis and new therapeutic avenues.

Reclassification of Acute Myeloid Leukemia According to the 2022 World Health Organization Classification and the International Consensus Classification Using Open-Source Data

Background

In 2022, the revised WHO classification and International Consensus Classification (ICC) for myeloid neoplasms were published. We examined the impact of these guidelines on AML diagnoses alongside the 2022 European LeukemiaNet (ELN) recommendations on risk stratification.

Methods

We included 450 adult patients with newly diagnosed AML (non-acute promyelocytic leukemia) from the cBioPortal open-source dataset. Diagnoses and risk stratifications were revised based on the new guidelines and compared with the 2017 WHO classification. Survival analyses were performed using Cox regression.

Results

Among the patients included, 190 (42.2%) had consistent diagnoses across the three classifications, whereas 225 (50.0%) had inconsistent diagnoses. The two major WHO 2017 subtypes, AML not otherwise specified (AML-NOS) and AML with myelodysplasia-related changes (AML-MRC), were further subdivided according to the WHO 2022 and ICC. The ICC had the highest prognostication power among the three classifications. Subgroup analysis according to the different definitions of myelodysplasia-related AML and the introduction of AML with mutated TP53 (AML-TP53) showed that the differentiation of AML-TP53 was beneficial. The update from ELN 2017 to ELN 2022 resulted in significant transitions in a subset of patients. The updated diagnostic classification and ELN risk stratification (i.e., the ICC and ELN 2022) showed a straightforward relationship.

Conclusions

This study presents an integrative comparative analysis of past and current guidelines for AML diagnosis and risk classification based on open-source data. The ICC diagnostic criteria are clinically significant for determining AML prognosis. In line with the changing treatment paradigm for AML, future research is needed to continuously validate diagnostic and risk stratification systems.

An integrative multiparametric approach stratifies putative distinct phenotypes of blast phase chronic myelomonocytic leukemia

Approximately 30% of patients with chronic myelomonocytic leukemia (CMML) undergo transformation to a chemo-refractory blastic phase (BP-CMML). Seeking novel therapeutic approaches, we profiled blast transcriptomes from 42 BP-CMMLs, observing extensive transcriptional heterogeneity and poor alignment to current acute myeloid leukemia (AML) classifications. BP-CMMLs display distinctive transcriptomic profiles, including enrichment for quiescence and variability in drug response signatures. Integrating clinical, immunophenotype, and transcriptome parameters, Random Forest unsupervised clustering distinguishes immature and mature subtypes characterized by differential expression of transcriptional modules, oncogenes, apoptotic regulators, and patterns of surface marker expression. Subtypes differ in predicted response to AML drugs, validated ex vivo in primary samples. Iteratively refined stratification resolves a classification structure comprising five subtypes along a maturation spectrum, predictive of response to novel agents including consistent patterns for receptor tyrosine kinase (RTK), cyclin-dependent kinase (CDK), mechanistic target of rapamycin (MTOR), and mitogen-activated protein kinase (MAPK) inhibitors. Finally, we generate a prototype decision tree to stratify BP-CMML with high specificity and sensitivity, requiring validation but with potential clinical applicability to guide personalized drug selection for improved outcomes.

Machine learning-based bulk RNA analysis reveals a prognostic signature of 13 cell death patterns and potential therapeutic target of SMAD3 in acute myeloid leukemia

BACKGROUND

Dysregulation or abnormality of the programmed cell death (PCD) pathway is closely related to the occurrence and development of many tumors, including acute myeloid leukemia (AML). Studying the abnormal characteristics of PCD pathway-related molecular markers can provide a basis for prognosis prediction and targeted drug design in AML patients.

METHODS

A total of 1394 genes representing 13 different PCD pathways were examined in AML patients and healthy donors. The upregulated genes were analyzed for their ability to predict overall survival (OS) individually, and these prognostic genes were subsequently combined to construct a PCD-related prognostic signature via an integrated approach consisting of 101 models based on ten machine learning algorithms. RNA transcriptome and clinical data from multiple AML cohorts (TCGA-AML, GSE106291, GSE146173 and Beat AML) were obtained to develop and validate the AML prognostic model.

RESULTS

A total of 214 upregulated PCD-related genes were identified in AML patients, 39 of which were proven to be prognostic genes in the training cohort. On the basis of the average C-index and number of model genes identified from the machine learning combinations, a PCD index was developed and validated for predicting AML OS. A prognostic nomogram was then generated and validated on the basis of the PCD index, age and ELN risk stratification in the Beat AML cohort and the GSE146173 cohort, revealing satisfactory predictive power (AUC values ≥ 0.7). With different mutation patterns, a higher PCD index was associated with a worse OS. The PCD index was significantly related to higher scores for immunosuppressive cells and mature leukemia cell subtypes. As the gene most closely related to the PCD index, the expression of SMAD3 was further validated in vitro. AML cells harboring KMT2A rearrangements were more sensitive to the SMAD3 inhibitor SIS3, and the expression of the autophagy-related molecular marker LC3 was increased in KMT2A-rearranged cell lines after SIS3 monotherapy and combined treatment.

CONCLUSION

The PCD index and SMAD3 gene expression levels have potential prognostic value and can be used in targeted therapy for AML, and these findings can lead to the development of effective strategies for the combined treatment of high-risk AML patients.

Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data

Existing methods for gene regulatory network (GRN) inference rely on gene expression data alone or on lower resolution bulk data. Despite the recent integration of chromatin accessibility and RNA sequencing data, learning complex mechanisms from limited independent data points still presents a daunting challenge. Here we present LINGER (Lifelong neural network for gene regulation), a machine-learning method to infer GRNs from single-cell paired gene expression and chromatin accessibility data. LINGER incorporates atlas-scale external bulk data across diverse cellular contexts and prior knowledge of transcription factor motifs as a manifold regularization. LINGER achieves a fourfold to sevenfold relative increase in accuracy over existing methods and reveals a complex regulatory landscape of genome-wide association studies, enabling enhanced interpretation of disease-associated variants and genes. Following the GRN inference from reference single-cell multiome data, LINGER enables the estimation of transcription factor activity solely from bulk or single-cell gene expression data, leveraging the abundance of available gene expression data to identify driver regulators from case-control studies.

The co-receptor Neuropilin-1 enhances proliferation in inv(16) acute myeloid leukemia via VEGF signaling

Oncogenic programs regulate the proliferation and maintenance of cancer stem cells, and can define pharmacologic dependencies. In acute myeloid leukemia (AML) with the chromosome inversion 16 (inv(16)), the fusion oncoprotein CBFβ::MYH11 regulates pathways associated with leukemia stem cell activity. Here we demonstrate that expression of Neuropilin-1 (NRP1) is regulated by the fusion oncoprotein, and promotes AML expansion. Mechanistically, we show that the NRP1 locus has open chromatin in inv(16) AML, and that CBFβ::MYH11 modulates the local function of the transcription factors ERG, GATA2 and RUNX1 to sustain NRP1 levels. We found that ERG activates NRP1 expression, and that CBFβ::MYH11 knockdown represses ERG expression, thereby allowing the repressive activity of GATA2/RUNX1 at three NRP1 enhancers. Functionally, we demonstrate that NRP1 enhances the expansion of leukemic cells in vitro and in mice, and that this activity is dependent on its VEGFR-associated FV/FVIII domain. Finally, we show that treatment with VEGF inhibitor axitinib reduces AML cell growth and delays median leukemia latency in vivo. Our findings reveal that the NRP1/VEGF axis mediates proliferation in inv(16) AML blasts, and suggest that targeting NRP1 function could be promising in combination AML therapy.

Fusion oncoproteins and cooperating mutations define disease phenotypes in NUP98-rearranged leukemia

Leukemias with NUP98 rearrangements exhibit heterogeneous phenotypes correlated to fusion partners, whereas the mechanism responsible for this heterogeneity is poorly understood. Through genome-wide mutational and transcriptional analyses of 177 NUP98-rearranged leukemias, we show that cooperating alterations are associated with differentiation status even among leukemias sharing the same NUP98 fusions, such as NUP98::KDM5A acute megakaryocytic leukemia with RB1 loss or T-cell acute lymphoblastic leukemia with NOTCH1 mutations. CUT&RUN profiling reveals that NUP98 fusion oncoproteins directly regulate differentiation-related genes, with binding patterns also influenced by differentiation stage. Using in vitro models, we show RB1 loss cooperates with NUP98::KDM5A by blocking terminal differentiation toward platelets and expanding megakaryocyte-like cells, whereas WT1 frameshifts skew differentiation toward dormant lympho-myeloid primed progenitor cells and cycling granulocyte-monocyte progenitor cells. NUP98::KDM5A models with RB1 or WT1 alterations have different sensitivities to menin inhibition, suggesting cellular differentiation stage-specific resistant mechanism against menin inhibitors with clinical implications for NUP98-rearranged leukemia.

Monocytes generated by interleukin-6-treated human hematopoietic stem and progenitor cells secrete calprotectin that inhibits erythropoiesis

Elevated circulating levels of calprotectin (CAL), the S100A8/A9 heterodimer, are biomarkers of severe systemic inflammation. Here, we investigate the effects of CAL on early human hematopoiesis. CAL demonstrates limited impact on gene expression in stem and progenitor cells, in contrast with interleukin-6 (IL6), which promotes the expression of the S100A8 and S100A9 genes in hematopoietic progenitors and the generation of monocytes that release CAL. The main target of CAL is an erythroid-megakaryocyte progenitor (EMP) subset. CAL prevents both erythropoietin-driven differentiation of healthy progenitors and JAK2-V617F-driven erythropoiesis. In the context of JAK2-V617F, CAL also promotes the expression of S100A8 and S100A9 genes in monocytes. The signature of CAL effects is detected in the bone marrow progenitors of patients with myeloid malignancy or severe infection. These results position CAL as a mediator of IL6 effects on triggering anemia during inflammation, an effect that is amplified in the context of JAK2-V617F-driven hematopoiesis.

RSK1 is an exploitable dependency in myeloproliferative neoplasms and secondary acute myeloid leukemia

Myeloid malignancies are heterogenous disorders characterized by distinct molecular drivers but share convergence of oncogenic signaling pathways and propagation by ripe pro-inflammatory niches. Here, we establish a comprehensive transcriptional atlas across the spectrum of myeloproliferative neoplasms (MPN) and secondary acute myeloid leukemia (sAML) through RNA-sequencing of 158 primary samples encompassing CD34+ hematopoietic stem/progenitor cells and CD14+ monocytes. Supported by mass cytometry (CyTOF) profiling, we reveal aberrant networks of PI3K/AKT/mTOR signalling and NFκB-mediated hyper-inflammation. Combining ATAC-Seq, CUT&Tag, RNA-seq, and CyTOF, we demonstrate that targeting of ribosomal protein S6 kinase A1 (RSK1) suppresses NFκB activation and diminishes pro-inflammatory mediators including tumor necrosis factor (TNF) associated with MPN disease severity and transformation. We further evaluate a therapeutic approach utilizing a first-in-class RSK inhibitor, PMD-026, currently in Phase 2 development for breast cancer, for use in myeloid malignancies. Treatment with PMD-026 suppressed disease burden across seven syngeneic and patient-derived xenograft leukemia mouse models spanning the spectrum of driver and disease-modifying mutations. These findings uncover a therapeutic avenue for a conserved dependency across MPN and sAML.

A Novel In Vitro Model of the Bone Marrow Microenvironment in Acute Myeloid Leukemia Identifies CD44 and Focal Adhesion Kinase as Therapeutic Targets to Reverse Cell Adhesion-Mediated Drug Resistance

BACKGROUND/OBJECTIVES

Acute myeloid leukemia (AML) is an aggressive neoplasm. Although most patients respond to induction therapy, they commonly relapse due to recurrent disease in the bone marrow microenvironment (BMME). So, the disruption of the BMME, releasing tumor cells into the peripheral circulation, has therapeutic potential.

METHODS

Using both primary donor AML cells and cell lines, we developed an in vitro co-culture model of the AML BMME. We used this model to identify the most effective agent(s) to block AML cell adherence and reverse adhesion-mediated treatment resistance.

RESULTS

We identified that anti-CD44 treatment significantly increased the efficacy of cytarabine. However, some AML cells remained adhered, and transcriptional analysis identified focal adhesion kinase (FAK) signaling as a contributing factor; the adhered cells showed elevated FAK phosphorylation that was reduced by the FAK inhibitor, defactinib. Importantly, we demonstrated that anti-CD44 and defactinib were highly synergistic at diminishing the adhesion of the most primitive CD34high AML cells in primary autologous co-cultures.

CONCLUSIONS

Taken together, we identified anti-CD44 and defactinib as a promising therapeutic combination to release AML cells from the chemoprotective AML BMME. As anti-CD44 is already available as a recombinant humanized monoclonal antibody, the combination of this agent with defactinib could be rapidly tested in AML clinical trials.

Comparative small molecule screening of primary human acute leukemias, engineered human leukemia and leukemia cell lines

Targeted therapeutics for high-risk cancers remain an unmet medical need. Here we report the results of a large-scale screen of over 11,000 molecules for their ability to inhibit the survival and growth in vitro of human leukemic cells from multiple sources including patient samples, de novo generated human leukemia models, and established human leukemic cell lines. The responses of cells from de novo models were most similar to those of patient samples, both of which showed striking differences from the cell-line responses. Analysis of differences in subtype-specific therapeutic vulnerabilities made possible by the scale of this screen enabled the identification of new specific modulators of apoptosis, while also highlighting the complex polypharmacology of anti-leukemic small molecules such as shikonin. These findings introduce a new platform for uncovering new therapeutic options for high-risk human leukemia, in addition to reinforcing the importance of the test sample choice for effective drug discovery.

The present and future of the Cancer Dependency Map

Despite tremendous progress in the past decade, the complex and heterogeneous nature of cancer complicates efforts to identify new therapies and therapeutic combinations that achieve durable responses in most patients. Further advances in cancer therapy will rely, in part, on the development of targeted therapeutics matched with the genetic and molecular characteristics of cancer. The Cancer Dependency Map (DepMap) is a large-scale data repository and research platform, aiming to systematically reveal the landscape of cancer vulnerabilities in thousands of genetically and molecularly annotated cancer models. DepMap is used routinely by cancer researchers and translational scientists and has facilitated the identification of several novel and selective therapeutic strategies for multiple cancer types that are being tested in the clinic. However, it is also clear that the current version of DepMap is not yet comprehensive. In this Perspective, we review (1) the impact and current uses of DepMap, (2) the opportunities to enhance DepMap to overcome its current limitations, and (3) the ongoing efforts to further improve and expand DepMap.

Lymphoma and Leukemia Cell Vulnerabilities and Resistance Identified by Compound Library Screens

Response to anticancer agents is often restricted to subsets of patients. Recognition of factors underlying this heterogeneity and identification of biomarkers associated with response to drugs would greatly improve the efficacy of drug treatment. Platforms that can comprehensively map cellular response to compounds in high-throughput provide a unique tool to identify associated biomarkers and provide hypotheses for mechanisms underlying variable response. Such screens can be performed on cell lines and short-term cultures of primary cells to take advantage of the respective models' strength, which include, e.g., the ability to silence genes or introduce somatic mutations to cell lines. Cohorts of patient samples represent the natural diversity of cancers, including rarer mutations and combinatorial patterns of mutations that are often absent from existing cell lines. We here summarize a simple and scalable method for the measurement of viability after drug exposure based on ATP measurements as a surrogate for viability, which we use to measure and understand drug response in cell lines and primary cells.

MS4A3 regulates hematopoietic myeloid differentiation through ROS/TGF-β/p38MAPK pathway

The hematopoietic homeostasis relies on the intricate regulation of hematopoietic stem cells during their proliferation and differentiation. Myeloid differentiation disorders can lead to chronic myeloid leukemia and acute myeloid leukemia. Previous studies have shown increased expression of MS4A3 in myeloid cells, suggesting that MS4A3 may play a critical role in hematopoietic myeloid differentiation. However, the underlying mechanism and its role in hematopoietic myeloid differentiation require further elucidation. In this study, using K562 cell lines with MS4A3 over-expression (oeMS4A3) and MS4A3 knockdown (shMS4A3), we demonstrated that the overexpression of MS4A3 resulted in an augmented skewing towards myeloid differentiation and cell cycle arrest at G0/G1. In addition, inhibition of ROS, TGF-β, and p38MAPK in oeMS4A3 K562 cells attenuated the skewing of myeloid differentiation. Furthermore, in vivo experiments revealed a slight myeloid differentiation suppression tendency in MS4A3 knockout mice. Taken together, we show that MS4A3 overexpression promote myeloid differentiation skewing through the activation of the ROS/p38MAPK/TGFβ pathway. This study underscored the role of MS4A3 in the hematopoietic myeloid differentiation.

FLT3 and NPM1 mRNA expression-based risk stratification of de novo acute Myeloid Leukemia

Prognostication of acute myeloid leukemia (AML) at initial diagnosis relies on identification of pre-determined underlying genetic abnormalities. Nevertheless, the disease course of AML remains highly unpredictable and robust reliable prognostic biomarkers for newly diagnosed AML are lacking. We retrospectively explored two publicly available AML RNA-Seq datasets and found that inferior overall survival was associated with high-FLT3 and low-NPM1 transcript levels ("FLT3 high/NPM1 low") compared to low-FLT3 and high-NPM1 transcript levels ("FLT3 low/NPM1 high") in adult de novo AML patients, with a hazard ratio for death of at least 2. Transcript level-dependent differential overall survival was independent from the underlying FLT3 or NPM1 genotypes. Our two-gene RNA expression-based de novo AML risk stratification may supplement and fine-tune traditional genetic aberration-based prognostication methods.

Leukemia-mutated proteins PHF6 and PHIP form a chromatin complex that represses acute myeloid leukemia stemness

Myeloid leukemias are heterogeneous cancers with diverse mutations, sometimes in genes with unclear roles and unknown functional partners. PHF6 and PHIP are two poorly-understood chromatin-binding proteins recurrently mutated in acute myeloid leukemia (AML). PHF6 mutations are associated with poorer outcomes, while PHIP was recently identified as the most common selective mutation in Black patients in AML. Here, we show that PHF6 is a transcriptional repressor that suppresses a stemness gene network, and that PHF6 missense mutations, classified by current clinical algorithms as variants of unknown significance, produce unstable or non-functional protein. We present multiple lines of evidence converging on a critical mechanistic connection between PHF6 and PHIP. We show that PHIP loss phenocopies PHF6 loss, and that PHF6 requires PHIP to occupy chromatin and exert its downstream transcriptional program. Our work unifies PHF6 and PHIP, two disparate leukemia-mutated proteins, into a common functional complex that suppresses AML stemness.

LM-Merger: A workflow for merging logical models with an application to gene regulation

Motivation

Gene regulatory network (GRN) models provide mechanistic understanding of genetic interactions that regulate gene expression and, consequently, influence cellular behavior. Dysregulated gene expression plays a critical role in disease progression and treatment response, making GRN models a promising tool for precision medicine. While researchers have built many models to describe specific subsets of gene interactions, more comprehensive models that cover a broader range of genes are challenging to build. This necessitates the development of automated approaches for merging existing models.

Results

We present LM-Merger, a workflow for semi-automatically merging logical GRN models. The workflow consists of five main steps: (a) model identification, (b) model standardization and annotation, (c) model verification, (d) model merging, and (d) model evaluation. We demonstrate the feasibility and benefit of this workflow with two pairs of published models pertaining to acute myeloid leukemia (AML). The integrated models were able to retain the predictive accuracy of the original models, while expanding coverage of the biological system. Notably, when applied to a new dataset, the integrated models outperformed the individual models in predicting patient response. This study highlights the potential of logical model merging to advance systems biology research and our understanding of complex diseases.

Availability and implementation

The workflow and accompanying tools, including modules for model standardization, automated logical model merging, and evaluation, are available at https://github.com/IlyaLab/LogicModelMerger/.

Genomic differences of patients with hematologic malignancies in different age groups

Hematologic malignancies cause significant morbidity/mortality in both children and young adults (CYAs) as well as older adults (OAs). Yet their biological underpinnings remain inadequately understood. Here, we analyzed clinical and genomic disparities between CYAs and OAs in various hematologic malignancies. We found substantial differences in clinical features such as patient sex, ethnicity, metastasis rates, and tumor subtypes. Genomically, most CYA hematologic malignancies indicated lower mutational burden. Subsequently, we identified differentially mutated genes (DMGs) with varying mutation rates between CYAs and OAs, noting fewer mutations in CYAs for most genes such as TP53, TET2, and DNMT3A. In contrast, several DMGs (i.e., NRAS, KRAS, SMARCA4, ID3, PTPN11, WT1, and KIT) were overrepresented in CYAs. We further investigated human protein interacting partners of these identified DMGs that were highly mutated in CYAs/OAs, respectively, and found significant differences in network topological and functional roles. Notably, CYA malignancies demonstrated extensive copy number alterations (CNAs) and more driver gene fusions. In particular, four CNA differential genes (i.e., ARID1B, MYB, TP53, and ESR1) were overrepresented as amplifications and deletions in CYAs and OAs, respectively. Ultimately, we demonstrated a landscape comparative view of clinically actionable genetic events in CYAs and OAs, providing clues for age-related personalized treatment.

Combining clinical and molecular data for personalized treatment in acute myeloid leukemia: A machine learning approach

BACKGROUND AND OBJECTIVE

The standard of care in Acute Myeloid Leukemia patients has remained essentially unchanged for nearly 40 years. Due to the complicated mutational patterns within and between individual patients and a lack of targeted agents for most mutational events, implementing individualized treatment for AML has proven difficult. We reanalysed the BeatAML dataset employing Machine Learning algorithms. The BeatAML project entails patients extensively characterized at the molecular and clinical levels and linked to drug sensitivity outputs. Our approach capitalizes on the molecular and clinical data provided by the BeatAML dataset to predict the ex vivo drug sensitivity for the 122 drugs evaluated by the project.

METHODS

We utilized ElasticNet, which produces fully interpretable models, in combination with a two-step training protocol that allowed us to narrow down computations. We automated the genes' filtering step by employing two metrics, and we evaluated all possible data combinations to identify the best training configuration settings per drug.

RESULTS

We report a Pearson correlation across all drugs of 0.36 when clinical and RNA sequencing data were combined, with the best-performing models reaching a Pearson correlation of 0.67. When we trained using the datasets in isolation, we noted that RNA Sequencing data (Pearson: 0.36) attained three times the predictive power of whole exome sequencing data (Pearson: 0.11), with clinical data falling somewhere in between (Pearson 0.26). Lastly, we present a paradigm of clinical significance. We used our models' prediction as a drug sensitivity score to rank an individual's expected response to treatment. We identified 78 patients out of 89 (88 %) that the proposed drug was more potent than the administered one based on their ex vivo drug sensitivity data.

CONCLUSIONS

In conclusion, our reanalysis of the BeatAML dataset using Machine Learning algorithms demonstrates the potential for individualized treatment prediction in Acute Myeloid Leukemia patients, addressing the longstanding challenge of treatment personalization in this disease. By leveraging molecular and clinical data, our approach yields promising correlations between predicted drug sensitivity and actual responses, highlighting a significant step forward in improving therapeutic outcomes for AML patients.