Leukemia

Abstract Polycythemia vera (PV) is a rare, chronic myeloproliferative neoplasm driven by the JAK2V617F mutation and characterized by uncontrolled erythroid proliferation. Although the mutation arises in hematopoietic stem cells, the differentiation stage at which its transcriptional consequences first become biologically meaningful has remained undefined. Using a multi-layer transcriptomics integration approach that combined differential gene expression, NicheNet ligand-receptor analysis, pseudotime trajectory inference, and CNV profiling on scRNA seq data, alongside bulk transcriptome validation, we identified basophilic erythroblasts as the critical transition point at which JAK2V617F shifts from a genomically present but transcriptionally silent state to an actively trajectory-altering and treatment-responsive disease driver. Differential expression revealed a qualitatively distinct disease signature at this stage, including ERFE-mediated iron dysregulation, MAP2K2-driven RAS/MAPK co-activation, and epigenetic reprogramming. NicheNet showed the establishment of a TGF{beta} superfamily and chemokine-driven niche-remodeling axis, and pseudotime analysis demonstrated that basophilic erythroblasts are the first erythroid population to exhibit condition-dependent trajectory divergence, whereas earlier progenitors showed none despite carrying the mutation. Interferon- treatment showed its broadest counterresponse at this stage but declined sharply thereafter, identifying basophilic erythroblasts as both the principal therapeutic target and the point of maximum vulnerability in PV.

Leukemic stem cells (LSCs) play a central role in disease progression, therapeutic resistance, and relapse in acute myeloid leukemia (AML). However, the identification and characterization of LSCs remain challenging because of their low abundance and their close phenotypic resemblance to normal hematopoietic stem and progenitor cells. Although patient-derived xenograft (PDX) models have provided important insights into AML biology and LSC heterogeneity, the relative engraftment potential of distinct CEBPA mutation subtypes and the immunophenotypic identity of LSCs in CEBPA N-terminal mutant AML (CEBPA-N-AML) remain poorly defined. To address these questions, we compared the engraftment characteristics of primary human CEBPA-mutated AML samples representing the major mutational subtypes using the highly permissive NSGS xenograft model. Primary CEBPA-N-AML samples exhibited markedly greater engraftment efficiency and leukemogenic potential than other CEBPA-mutated AML subtypes. Furthermore, we identified a CD366CD73CD123CD117CD371CD247 cell population that is highly enriched for functional LSCs in CEBPA-N-AML, demonstrating enhanced clonogenic activity, leukemia-initiating capacity, and long-term self-renewal. Collectively, our findings demonstrate that the leukemogenic potential of CEBPA-mutated AML is strongly influenced by mutation subtype, with CEBPA-N-AML exhibiting superior leukemia-propagating capacity in vivo. We further define a novel immunophenotypic LSC signature specific to CEBPA-N-AML, providing new insights into LSC heterogeneity in CEBPA-mutated AML and establishing a foundation for the development of LSC-directed therapeutic strategies.

Large genomically annotated acute myeloid leukaemia (AML) datasets exist, but population-based contemporary cohorts remain scarce. Here we report clinicopathological, genomic, and outcome data from Danish AML patients. 2,512 AML patients were identified between 2015-2022, of whom 33.8% had available NGS data (NGS+). In patients [≤]70 years, baseline characteristics and outcomes were comparable between NGS+ and NGS- groups. In patients >70 years, more NGS+ patients received intensive treatment, but survival was similar among intensively treated patients. The distribution of mutations varied significantly by age and sex, with older age and male sex exhibiting higher frequencies of adverse-risk gene mutations. In intensively treated NGS+ patients, ELN2017 stratified 5-year OS: 58.4% (favorable), 43.4% (intermediate), and 28.2% (adverse), with hazard ratios (HRs) of 0.63 (favorable) and 1.45 (adverse) relative to intermediate. ELN2022 yielded corresponding OS rates of 56.9%, 51.8%, and 29.7%, with HRs of 0.78 and 1.86. The two models had comparable predictive performance for OS in a time-dependent model. In conclusion, outcomes of intensively treated AML patients were comparable irrespective of NGS status, underscoring the representativeness of the REFORM-AML database for the Danish AML population. Age and male sex correlated with adverse-risk mutations, and both ELN2017 and ELN2022 robustly predicted survival.

CD8 T cells are key mediators of anti-tumor immunity, yet their differentiation states and clonal architecture within the acute myeloid leukemia (AML) bone marrow microenvironment remain incompletely defined. We performed high dimensional immune profiling of bone marrow samples from 46 newly diagnosed AML patients using mass cytometry to probe the microenvironment and T cell states. We used single-cell RNA and T cell receptor (TCR) sequencing to define CD8 T cell phenotypes, transcriptional states, and clonal architecture. AML-associated CD8 T cells were skewed toward terminally differentiated effector memory cells re-expressing CD45RA (TEMRAs), while canonically exhausted T cell populations were rare. Functional studies revealed that TEMRA CD8 T cells robustly produced IFN{gamma} and TNF upon in vitro stimulation. Clonal expansion was concentrated within the TEMRA compartment. Comparison of TCR sequences with known viral epitopes identified a small subset of expanded viral-specific clonotypes, while the majority of highly expanded clonotypes had unknown specificity and may include AML-specific T cells. Differential gene expression analysis revealed shared cytotoxic effector programs during clonal expansion but diverging activation signatures: viral-specific clones upregulated canonical T cell receptor signaling genes, whereas expanded clones of unknown specificity exhibited enrichment of natural killer (NK) receptor-associated genes. These genes comprised the leukemia-associated NK-immune (LaNKi) score which was elevated in an independent AML dataset compared to pan cancer tumor infiltrating lymphocytes. These findings define the CD8 T cell differentiation landscape and clonal architecture in AML marrow at diagnosis and suggest that T cell dysfunction in AML diverges from classical activation and exhaustion paradigms.

Background: Relapse remains the principal cause of treatment failure in pediatric acute leukemia. Clinically validated minimal residual disease (MRD) assays - multiparameter flow cytometry, immunoglobulin/T-cell-receptor rearrangement sequencing, and targeted next-generation sequencing panels -- are highly sensitive but read out predefined features and do not reconstruct clonal architecture or link a cell's genotype to its functional state. We systematically reviewed what single-cell sequencing has revealed about clonal evolution, chemoresistance, the immune microenvironment, and post-therapeutic immune dynamics in this disease. Methods: This review followed PRISMA 2020. PubMed/MEDLINE, the Cochrane Library, and Google Scholar were searched to September 2026 for primary studies applying single-cell DNA, RNA, chromatin-accessibility, surface-protein, or immune-repertoire sequencing to pediatric acute leukemia samples or pediatric-derived models. Risk of bias in non-randomized studies was assessed with ROBINS-I. Because designs, platforms, and outcomes were heterogeneous, findings were synthesized narratively by biologic theme without meta-analysis, following the SWiM guideline. Results: Of 63 records identified, 10 studies were included (published 2016-2026; 6-159 patients or samples per study; up to ~700,000 cells profiled). Single-cell DNA sequencing traced minor NOTCH1-mutant diagnostic subclones into PTEN- or TP53-mutant relapse clones that bulk sequencing missed. Rare dormant, label-retaining cells and developmental-state-dependent drug sensitivity defined chemoresistant compartments. Remodeling of the bone marrow immune microenvironment identified patients with adverse outcome among those classified as MRD-low, and pre-infusion CAR T-cell type 2 functionality and post-transplant cytotoxic memory CD8+ T-cell subsets were associated with durable remission. Of the seven studies assessed with ROBINS-I, four were at moderate and three at serious overall risk of bias, driven chiefly by small, selected cohorts. Conclusions: Single-cell sequencing yields mechanistic insight that complements, rather than replaces, clinically validated MRD assays, and nominates candidate biomarkers for risk stratification, treatment selection, cell-therapy manufacturing, and post-transplant monitoring. The evidence remains preliminary; adequately powered, prospective, and harmonized studies are required before clinical adoption.

Background: The clinical course of acute leukemias and related hematologic neoplasms is defined by aggressive clonal proliferation, severe hematopoietic disruption, and recurrent molecular alterations. Although serial bone marrow biopsies, multiparameter flow cytometry, and next-generation sequencing remain standard surveillance modalities, procedural invasiveness, high costs, and operational turnaround times limit their frequency. Minimally invasive, scalable biomarkers integrating routine hematologic indices, targeted gene expression, circulating oncoprotein levels, and patient compliance metrics may provide an accessible framework for dynamic monitoring. Methods: In this longitudinal cohort study of 66 patients across 272 serial encounters (discrete follow-up intervals: days 0, 14, 41, 71, and 78), we assessed the prognostic value of peripheral complete blood counts (white blood cell count [WBC], hemoglobin [Hb]), molecular indicators (FLT3, NPM1, and DNMT3A transcript levels; targeted soluble FLT3 quantification), and medication adherence. The primary clinical endpoint was longitudinal progression to critical deterioration or disease-related mortality. Generalized linear mixed-effects models (GLMM) with patient-specific random intercepts were constructed to account for intra-subject repeated measures. Predictors were standardized per 1-SD increment. Model performance was assessed via the Akaike Information Criterion (AIC) and the Concordance index (C-index). Results: Leukocyte expansion correlated inversely with hemoglobin concentration (r=-0.877, p<0.001), reflecting bone marrow infiltration and secondary erythroid suppression. Multivariable mixed-effects modeling confirmed that elevated WBC count (adjusted odds ratio [aOR] = 1.52 per 1-SD increase; 95% CI: 1.24-1.86; p<0.001) and reduced medication adherence (aOR = 0.58; 95% CI: 0.44-0.76; p<0.001) independently predicted adverse clinical transition. Integrating targeted molecular markers (FLT3 expression and soluble protein levels) with routine hematologic indices and adherence demonstrated superior calibration and discrimination over single-domain models ({Delta}AIC[&ge;]116; Harrells C-index = 0.81). Conclusions: Readily accessible peripheral hematologic indices, targeted molecular quantification, and medication adherence provide complementary prognostic information regarding disease activity. Integrating these low-burden parameters into clinical workflows offers an efficient, scalable paradigm for early risk stratification in hematologic malignancies.

Although B-cell acute lymphoblastic leukemia (B-ALL) is highly responsive to antigen-directed immunotherapies, treatment resistance remains a major barrier to achieving durable responses in patients. We recently developed a novel VpreB1 (CD179a)-directed antibody-drug conjugate with calicheamicin (VpreB1-ADC) that exploits the restricted expression of VpreB1 within the surrogate light chain in early B cells, including B-ALL. In the present work, we investigated mechanisms of resistance to the VpreB1-ADC. Mechanisms of resistance were evaluated using a TCF3::HLF B-ALL model, assessing target engagement parameters including VpreB1 surface expression and antibody internalization. The role of the multidrug resistance transporter ABCB1 (P-glycoprotein) was evaluated via pharmacologic inhibition, using tariquidar and zosuquidar, and enforced overexpression across multiple B-ALL cell lines. Sensitivity to alternative non-ABCB1 substrate payloads exatecan and PNU-159682 was also assessed. Resistant TCF3::HLF cells retained VpreB1 expression and efficient antibody internalization. Instead, resistance was driven by elevated ABCB1 expression and activity. ABCB1 inhibition with tariquidar or zosuquidar restored VpreB1-ADC sensitivity. Conversely, enforced ABCB1 overexpression conferred ADC resistance, which was reversed by ABCB1 inhibition. Cells with high ABCB1 activity remained fully sensitive to alternative payloads, including exatecan and PNU-159682, which are not ABCB1 substrates. ABCB1-mediated drug efflux drives intrinsic resistance to calicheamicin-conjugated ADCs in B-ALL. Combining ADCs with ABCB1 inhibitors or selecting payloads non-susceptible to ABCB1 efflux offer viable strategies to overcome resistance and optimize future ADC therapies.

The immunosuppressive bone marrow microenvironment is an important contributor to the limited success of immunotherapy in acute myeloid leukemia (AML), but the cellular interactions underlying AML immune evasion are incompletely understood. We therefore generated a single-cell spatial transcriptomic and proteomic atlas using 148 bone biopsies from 113 individuals comprising pediatric and adult AML at diagnosis and non-leukemic controls. We observed an expansion of regulatory T cells (Tregs) in AML, with stronger colocalization between Tregs and macrophages compared to non-leukemic bone marrow. Distinct cellular neighborhoods were enriched for myeloid progenitor-like cells together with macrophages and T cells, which correlated with higher macrophage and T cell immune checkpoint expression. Moreover, these neighborhoods were associated with specific AML subtypes, especially KMT2A-rearranged and RUNX1::RUNX1T1 AML. These spatial patterns were validated by identification of malignant cells via in situ fusion detection in RUNX1::RUNX1T1 cases. Functional experiments revealed that macrophages and AML cells not only actively recruit Tregs, but also promote naive T cell differentiation into Tregs. Spatially informed ligand-receptor analysis predicted the involvement of the Galectin-9 - CD44/TIM-3 axis in this immunosuppressive crosstalk, which was supported by in vitro inhibition of CD44 and/or TIM-3 preventing macrophage- and AML-induced Treg differentiation. Collectively, this comprehensive spatial map of the AML bone marrow identified tripartite crosstalk between AML, macrophages, and T cells mediated by the Galectin-9 - CD44/TIM-3 axis as a key component of the immunosuppressive microenvironment. Targeting Galectin-9 - CD44/TIM-3 interactions may be a promising strategy to overcome immune evasion and enhance immunotherapeutic success in AML. HighlightsO_LISpatial transcriptomic and proteomic atlas of pediatric and adult acute myeloid leukemia (AML) bone marrow C_LIO_LIIncreased colocalization of macrophages and regulatory T cells (Tregs) in AML C_LIO_LIMacrophages and AML cells induce differentiation of naive T cells to Tregs in vitro, which can be prevented by inhibition of CD44 or TIM-3 C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=166 SRC="FIGDIR/small/743431v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@5887f4org.highwire.dtl.DTLVardef@45d17corg.highwire.dtl.DTLVardef@1bc3264org.highwire.dtl.DTLVardef@9059aa_HPS_FORMAT_FIGEXP M_FIG C_FIG

Despite the success of chimeric antigen receptor (CAR) T cell therapy for treatment of B cell acute lymphoblastic leukemia (B-ALL), its translation to acute myeloid leukemia (AML) has been hindered by limited efficacy and significant toxicity. Interferon-gamma (IFN{gamma}) blockade with emapalumab has recently emerged as a promising strategy to mitigate CAR T cell-related toxicities in B cell malignancies, based on evidence that IFN{gamma} is largely dispensable for optimal CAR T cell activity in B-ALL. Whether IFN{gamma} signaling is similarly non-essential in the AML context remains unclear. Here, we demonstrate that disruption of the IFN{gamma} axis impedes anti-AML CAR T cell function and prevents upregulation of target antigen CD123, the apoptotic mediator Fas, and the adhesion molecule ICAM-1 on AML cells. Conversely, exogenous IFN{gamma} enhances CAR T cell cytotoxicity and increases CAR T cell avidity for AML targets. These findings identify IFN{gamma} as a critical mediator of CAR T cell efficacy against AML by promoting increased target antigen expression, enhanced cytotoxicity, and stable CAR T/tumor interactions. Our results suggest that therapeutic IFN{gamma} blockade, including with emapalumab, may compromise CAR T cell responses in AML and should be approached with caution in this disease context.

IDH inhibitors promote differentiation and hematological improvement in myeloid malignancies by reversing epigenetic dysregulation. However, molecular predictors of response remain poorly defined. We retrospectively analyzed 79 patients with IDH mutated myeloid malignancies treated with either ivosidenib (IDH1; n=36) or enasidenib (IDH2; n=43). Hematologic benefit was assessed using a composite complete hematologic response (CHR), defined by neutrophil and platelet recovery, and transfusion independence. Targeted sequencing was performed at baseline and at best hematologic response. Associations between co mutations, hematologic response, and treatment duration were evaluated using multivariable models. Overall, 43% of patients achieved CHR, with similar rates between inhibitors. Ivosidenib treated patients achieving CHR demonstrated a significant reduction in IDH1 VAF (p=0.010), which was not observed in enasidenib-treated CHR patients. Within the CHR cohort, ivosidenib patients had a greater reduction in IDH VAF relative to enasidenib patients (mean VAF change -16.74% vs -0.05%, p=0.034). Ivosidenib responders demonstrated a trend toward more durable treatment duration compared with enasidenib responders (p = 0.0908). RUNX1 and BCOR mutations were significantly enriched among patients with incomplete hematologic response and were independently associated with shorter treatment duration after adjustment for clinical factors (RUNX1: HR 2.53, p=0.0024; BCOR: HR 2.31, p=0.0058). IDH1 inhibition was associated with clonal contraction and durable hematologic benefit, a pattern not observed with IDH2 inhibition. Co mutations in RUNX1 and BCOR identified patients unlikely to achieve sustained hematologic improvement, suggesting a secondary block to differentiation. These findings support the integration of mutational and molecular profiling to refine patient selection and guide combinatorial strategies in IDH mutated myeloid malignancies.

Therapy resistance in acute myeloid leukemia (AML) is linked to metabolic plasticity and mitochondrial fitness of leukemic stem and progenitor cells. Clever-1 is a scavenger receptor with established immunoregulatory functions, but its leukemia cell-intrinsic roles remain unclear. Here we identify Clever-1 as a regulator of mitochondrial integrity and lipid-dependent oxidative metabolism in AML. Using the anti-Clever-1 antibody bexmarilimab, we show that Clever-1 inhibition induces early mitochondrial transcriptional reprogramming, followed by suppression of oxidative phosphorylation (OXPHOS) in AML cell lines. Immunoelectron microscopy demonstrates mitochondrial localization of Clever-1, while proteomic analyses reveal altered association with mitochondrial-linked proteins, including ATAD3. Functionally, Clever-1 inhibition reduces mitochondrial delivery of lipoprotein-derived lipids, resulting in selective changes in mitochondrial lipid composition. These changes are accompanied by impaired respiratory complex IV assembly, disrupted cristae architecture, accumulation of dysfunctional mitochondria, and reduced spare respiratory capacity. AML models with high baseline OXPHOS activity are particularly sensitive to Clever-1 inhibition, with mitochondrial dysfunction exacerbated under lipid-restricted or metabolically stressful conditions. Together, these findings define Clever-1 as a regulator of mitochondrial bioenergetic resilience and a targetable metabolic vulnerability in AML.

Multiple myeloma is bone-marrow-predominant, motivating marrow plasma cell-free DNA (cfDNA) as a tumor-proximal liquid biopsy. We tested whether marrow plasma cfDNA better represents the myeloma genome than peripheral blood cfDNA by profiling matched marrow plasma cells and both cfDNA compartments from 74 patients across 372 cfDNA sample time points. Tumor fractions correlated between compartments (r=0.84), but marrow plasma cfDNA was not a superior surrogate: peripheral-blood cfDNA matched or exceeded marrow-plasma cfDNA for marrow-defined CNA and mutation recovery (77.4% vs 72.0%; 69.2% vs 65.4%), with high specificity. Disease-associated features were detected in 69/74 peripheral-blood and 68/74 marrow-plasma profiles. BCR clonotypes were the highest-recovery feature, with BM-dominant clonotypes recovered in 31/34 callable profiles per compartment. At high tumor fraction, adverse-lesion sensitivity reached 100% in both cfDNA compartments. Marrow plasma cfDNA showed distinct, handling-sensitive fragmentomic architecture (LOOCV AUC=0.910), demonstrating performance depends on compartment, biomarker class, tumor fraction and processing context.

CBFA2T3-GLIS2 (C/G) defines a high-risk pediatric AML subtype in which de novo enhancer rewiring sustains an aggressive leukemic transcriptional state. The early epigenomic mechanisms reinforcing this program and linking it to leukemic survival remain incompletely defined. Here, we identify enhancer-proximal hypermethylation as a noncanonical, transcription-permissive feature of C/G AML. Using primary C/G-positive AML samples and a developmentally relevant C/G-transformed cord blood hematopoietic stem/progenitor cell model, we integrated DNA methylation, chromatin state, fusion occupancy, and gene expression across early and leukemia-stage contexts. Early C/G-associated hypermethylated regions localized near H3K27ac/H3K4me1-marked active or primed cis-regulatory elements, were enriched for ERG/ETS-like motifs, and showed related architecture in leukemia-stage contexts. DNMT3B was prominently increased in C/G contexts, and its loss selectively altered methylation-associated gene expression without measurably changing global 5mC. Genetic DNMT3B loss increased venetoclax sensitivity in vitro, while pharmacologic DNMT3B inhibition with Nanaomycin-A similarly enhanced venetoclax response. During venetoclax treatment, DNMT3B-deficient xenografts showed reduced disease burden and prolonged survival. To assess whether this interaction extended to clinically used hypomethylating agents, azacitidine or decitabine plus venetoclax induced apoptosis-related transcriptional programs and mitochondrial depolarization. These findings identify hypermethylated active cis-regulatory elements as C/G-associated states linked to transcriptional dysregulation and venetoclax response.

Background: Epigenetic deregulation is a defining feature of leukemia, and DNA methylation and chromatin accessibility profiles encode the cell of origin, lineage and clinical behaviour of the disease. Artificial intelligence (AI) and machine learning (ML) can extract predictive patterns from these high-dimensional data, but the published models have not been systematically appraised. We systematically reviewed AI models built on epigenomic data in leukemia for diagnosis, prognosis, relapse and treatment-response prediction, and measurable residual disease (MRD) detection. Methods: This review followed PRISMA 2020 and the SWiM guideline. PubMed was searched on 7 October 2026 with three structured queries, supplemented by a broader PubMed query, citation searching and web searching. Eligible studies were peer-reviewed primary studies that applied an ML or deep-learning algorithm to DNA methylation, chromatin-accessibility or histone-modification data from human leukemia samples and reported a quantitative diagnostic, prognostic, response or MRD outcome. Risk of bias and applicability were assessed with PROBAST, informed by PROBAST+AI. Owing to heterogeneity, results were synthesized narratively and in structured tables, without meta-analysis. Results: Of 68 unique database records and 32 reports from other sources, 30 studies (2010-2026; 22 since 2020) were included: 16 in acute myeloid leukemia, 4 in acute lymphoblastic leukemia, 2 spanning acute leukemia lineages, 3 in juvenile myelomonocytic leukemia and 5 in chronic lymphocytic leukemia; 10 were pediatric. DNA methylation was the input in 28 studies and chromatin accessibility in 2; no eligible study modelled histone marks. Tree ensembles (n = 9) and support vector machines (n = 5) were the most frequent algorithms. Diagnostic classifiers reported accuracy, concordance or F1 scores of 0.87-1.00, and two classifiers were applied to nanopore sequencing data, one returning acute leukemia subtype calls within about 2 hours. Prognostic epigenomic scores were associated with survival (reported hazard ratios 2.36-10.82), but discrimination fell on transport to independent cohorts (C-index 0.677 internally vs 0.529 in one external cohort). Fifteen studies validated models on an external epigenomic cohort, one prospectively. Overall risk of bias was high in 21 studies, unclear in 8 and low in 1, driven by the analysis domain (small samples, absent calibration, possible data leakage). Calibration was reported in 3 studies and code was available for 11. Conclusions: Epigenomic AI models classify leukemia subtypes with high reported accuracy and can deliver same-day diagnoses, and methylation-based scores add prognostic information. However, the evidence is dominated by retrospective, high-risk-of-bias development studies with limited external validation and almost no prospective or impact evaluation. Prospective, multi-center validation with calibrated, transparently reported models is required before clinical adoption.

Acute myeloid leukemia (AML) is an aggressive hematologic malignancy associated with a poor prognosis and an unmet need for more effective treatment options, particularly after relapse. One potential approach to address this need, which has been used successfully in solid tumors, is adoptive transfer of T cells engineered to express specific T cell receptors (TCRs). Particularly attractive are TCRs that can target epitopes derived from oncogenes on which cancer cells depend while sparing normal cells that do not harbor the mutation. One promising oncogenic target in AML is mutated nucleophosmin 1 (mtNPM1), present in up to 30% of AML cases. Most NPM1 mutations result in a common frameshifted sequence that generates peptides presented by several class I human leukocyte antigens (HLAs), such as HLA-A*11:01. In this study, we vaccinated HLA-A*11:01-transgenic mice with the mtNPM1 peptide AVEEVSLRK and isolated six functional TCRs from mtNPM1-reactive lymphocytes. When engineered into human T cells, two of these TCRs consistently mediated robust and specific lysis of an AML cell line and primary AML cells co-expressing HLA-A*11:01 and mtNPM1. Neither TCR recognized related human peptides, HLA-A*11:01-expressing normal peripheral blood mononuclear cells or stem/progenitor cells, or cells expressing diverse allogeneic HLAs, suggesting a low risk of cross-reactivity and alloreactivity. In an AML xenograft model, both TCRs controlled AML in hematopoietic organs, although extramedullary tumors emerged during treatment, potentially reflecting the aggressive behavior of the model that may not be representative of AML in patients. Together, these data suggest that the two TCRs represent strong candidates for further preclinical development in adoptive T cell therapy for NPM1-mutated, HLA-A*11:01-positive AML. These results also support the use of HLA-transgenic mice as a platform for generating TCRs targeting oncogene-derived epitopes in hematologic malignancies.

Uncontrolled proliferation of myeloid progenitor cells in acute myeloid leukemia (AML) is counteracted in most patients by toxic and often ineffective systemic treatments. Poly (ADP-ribose) polymerase inhibitors (PARPi) show subtype-restricted activity - potent in RUNX1-RUNX1T1 and PML-RAR[a] fusions, limited in KMT2A-rearranged (KMT2A-r) disease - but the lack of molecular understanding has hampered their clinical implementation. We combined single-cell and single-molecule assays on DNA replication intermediates and DNA damage signalling with therapy response readouts to investigate the role of fork plasticity factors in response to PARPi and AML standard-of-care (cytarabine, araC). In PARPi-sensitive AML models, PARP inhibition deregulates RECQ1-mediated fork restart, initially triggering fork acceleration and later fork breakage within the same S phase. Conversely, PARPi resistant KMT2A-r AML lines are protected by PrimPol-dependent DNA synthesis and its inactivation promptly induces fork breakage and PARPi sensitivity. Strikingly, PrimPol overexpression in PARPi-sensitive AML models prevents fork collapse and PARPi/araC therapy response, both in vitro and in vivo, identifying PrimPol as novel predictive biomarker and therapeutic target in AML. Our data uncover novel tissue-specific mechanisms of action for PARPi and pinpoint replication fork plasticity as key molecular determinant of AML therapy response. HighlightsO_LIFork plasticity is a key molecular determinant of treatment response in leukemia. C_LIO_LIPARP inhibition triggers fork breakage via deregulated restart of reversed forks. C_LIO_LIBypassing fork reversal, PrimPol limits therapy-induced DNA damage and cytotoxicity in AML. C_LIO_LIPrimPol drives resistance to cytarabine and PARP inhibition in vitro and in vivo. C_LI

The extent to which rare and common genetic variants jointly contribute to the risk of acute myeloid leukemia (AML) still remains relatively unexplored in large-scale biobank whole-genome sequencing cohorts. Here, we leverage the latest sequencing and phenotypic data from the All of Us Research Program to identify variants, genes, and gene-sets associated with AML. We performed set-based association tests for rare protein-coding variants (Ncases=265 and Ncontrols=169,706) and single-variant association tests for common variants (Ncases=265 and Ncontrols=169,705) utilizing the large European-like ancestry sample. For the rare-variant set-based tests conducted using SAIGE-GENE+, four genes were statistically significant: DNMT3A, TET2, SRSF2, and IDH2 (Bonferroni-corrected Cauchy p-value < 0.05). We also constructed multiple rare-variant burden risk scores using different gene-sets to identify those with a substantial rare-variant burden for AML. Gene-sets derived from Genomic Data Commons whole-genome sequencing data, comprising two distinct groups-genes observed to harbor somatic mutations in AML and genes observed to harbor somatic mutations across all cancer types-showed a statistically significant rare-variant burden (Bonferroni-corrected p-value < 0.05). Ultimately, these findings demonstrate that leveraging whole-genome sequencing in large-scale biobanks enables the identification of rare protein-coding variants, genes, and gene sets associated with AML.

Acute myeloid leukemia (AML) is an aggressive blood cancer characterized by high rates of relapse and poor outcomes, especially in elderly or unfit patients, who cannot tolerate intensive chemotherapy. While the BCL2 inhibitor venetoclax has improved initial responses in this high-risk population, relapses remain nearly universal, highlighting the need for novel therapeutic strategies. Here, we identify the RNA-binding protein PTBP1 as a critical dependency in AML. PTBP1 depletion impairs leukemic growth in vitro and in vivo, and is associated with widespread splicing alterations and global disruption of protein synthesis. Integrative transcriptomic and iCLIP analyses reveal that PTBP1 orchestrates a splicing program centered on Rho GTPase signaling, with CDC42 as a key downstream effector. Mechanistically, PTBP1 loss triggers a splicing switch from CDC42-v1 to CDC42-v2, leading to reduced GTPase activity and impaired protein synthesis. Pharmacological inhibition of CDC42 selectively induces cytotoxicity in AML cells, while sparing healthy hematopoietic cells. Importantly, CDC42 inhibition markedly enhances venetoclax anti-leukemic efficacy. These findings establish PTBP1 as a critical regulator of AML cell fitness and identify a clinically actionable therapeutic combination that exploits AML dependency on PTBP1-CDC42 signaling to enhance the efficacy of venetoclax-based regimens.

Myeloproliferative neoplasms (MPN) are chronic hematologic malignancies characterized by clonal myeloid expansion, inflammation, oxidative stress, and progressive bone marrow (BM) remodeling that may culminate in fibrosis and secondary acute leukemia. Here, we evaluated the therapeutic efficacy and the underlying mechanisms of melatonin (MT) and liposomal melatonin (nano-MT) in preclinical MPN models. MT selectively inhibited clonogenic growth of patient-derived peripheral blood mononuclear cells and induced pluripotent stem cell-derived CD34 hematopoietic stem and progenitor cells in comparison to healthy controls. This effect was associated with increased apoptosis, reduced reactive oxygen species (ROS), and decreased glucose uptake, independently of MT receptor signaling. Transcriptomic profiling of primary MPN CD34 cells revealed suppression of MYC targets, G2M checkpoint signaling, ROS, and glycolysis pathways. In co-culture models, MT reduced stromal -smooth muscle actin and phosphorylated SMAD2/3, indicating inhibition of TGF-{beta}-driven mesenchymal stromal cell-to-myofibroblast formation. In tamoxifen-inducible SclCreER;JAK2V617F mice, nano-MT achieved efficient spleen and BM targeting. Therapeutically, nano-MT reduced erythrocytosis, myeloid progenitor expansion, and BM IL-1{beta} levels. Longitudinal micro-computed tomography and histological analyses demonstrated normalization of BM architecture, reduced osteosclerotic remodeling and splenomegaly, decreased reticulin deposition and megakaryocyte numbers. In a dose-escalation study, nano-MT restored erythrocyte, hematocrit, and platelet counts and normalized megakaryocyte-erythroid progenitors. Combination treatment with ruxolitinib further reduced leukocytosis, neutrophilia, and monocytosis. Collectively, these findings demonstrate that (nano-)MT attenuates MPN and BM remodeling by targeting metabolic, inflammatory, and fibrotic pathways. This study provides the first evidence for a therapeutic benefit of nano-MT in MPN and establishes a rationale for further translational evaluation.

Acute myeloid leukemia (AML) is a clinically heterogeneous disease. Although the genetic abnormalities associated with poor prognosis are well defined, how they drive unfavorable outcomes remains unclear. Using published gene-expression and dependency datasets, we searched for cell-surface protein-coding genes associated with poor survival and required for AML growth, prioritizing this class of proteins for its accessibility to biologics. This search identified CD59, a GPI-anchored protein with a canonical role in complement regulation, whose high mRNA expression correlates with adverse-risk genetics and stemness signatures. CD59 silencing impaired proliferation across genetically diverse AML cell lines, reduced leukemic burden, and extended survival in cell xenograft models. Moreover, CD59 expression was enriched on leukemic stem cells (LSCs), and its depletion impaired LSC self-renewal and primary AML engraftment in vivo while sparing normal hematopoiesis. Mechanistically, these effects reflected a non-canonical role for CD59 in sustaining Ras-MAPK signaling, whereby its loss depleted inner-leaflet phosphatidylserine and impaired Ras and c-Raf membrane recruitment and activation. rILYd4, a recombinant fragment of the bacterial toxin intermedilysin that binds and degrades CD59, recapitulated these effects and sensitized cells to venetoclax in vivo. These findings reveal CD59 as a critical regulator of Ras-MAPK signaling required for AML growth and nominate its rILYd4-mediated degradation as a therapeutic strategy.