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Abstract INTRODUCTION: Warm autoimmune hemolytic anemia (wAIHA) is a rare, autoimmune-mediated hematologic disorder associated with significant morbidity and mortality and may occur as a primary condition or secondary to an underlying disorder. It is the most common subtype of autoimmune hemolytic anemia (AIHA), accounting for 75-80% of AIHA cases. Older adults with wAIHA are particularly vulnerable, as they often have multiple comorbidities and are already at elevated risk of death. This study aimed to assess mortality associated with wAIHA. METHODS: Adults with wAIHA (wAIHA cohort) and without AIHA (non-AIHA cohort) were identified from the 100% Medicare Fee-for-Service database (10/01/2019–12/31/2023). Evidence of wAIHA was defined as one of the following: 1) a primary wAIHA diagnosis (International Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM]: D59.11) in the inpatient setting (first instance of wAIHA diagnosis defined the index date), 2) ≥2 wAIHA diagnosis in any setting ≥30 days apart (second instance of wAIHA diagnosis defined the index date), or 3) a wAIHA diagnosis preceded ≥30 days by any AIHA diagnosis (ICD-10-CM: D59.10, D59.19, D59.8, D59.9; first instance of wAIHA diagnosis defined the index date). Patients in the wAIHA cohort were excluded if they had a diagnosis for cold or mixed-type AIHA (ICD-10-CM: D59.12, D59.13) during the baseline period (12 months before index). The non-AIHA cohort had no diagnoses for any AIHA during the study period; a random index date during continuous Medicare eligibility was selected and patients were matched 1:10 with the wAIHA cohort based on age on index date. Using overlap weighting, age-matched cohorts were further weighted on sex, race, region, index year, and baseline comorbidities associated with mortality, excluding conditions defining secondary wAIHA. Mortality during the follow-up period was evaluated between the weighted cohorts using the Kaplan-Meier method and Cox proportional hazard models. Patients whose death was not observed were censored at the earlier of the end of continuous Medicare eligibility or data availability. RESULTS: 3,112 and 31,120 patients were included in the wAIHA and non-AIHA cohorts, respectively. After weighting, among the wAIHA vs non-AIHA cohorts, mean [standard deviation; SD] age was 74.4 [11.6] vs 74.6 [11.2] years, the proportion of female were 56.1% vs 56.1%, mean [SD] Quan-CCI without secondary wAIHA-defining conditions was 1.9 [2.0] vs 1.9 [2.1], and mean [SD] follow-up time was 17.2 [11.7] vs 14.9 [11.4] months, respectively. In addition, 53.7% of the wAIHA cohort had secondary wAIHA. The most common secondary wAIHA-defining conditions were autoimmune and inflammatory diseases (wAIHA cohort: 27.8%; non-AIHA cohort: 11.0%), hematologic and lymphoproliferative disorders (wAIHA cohort: 23.8%; non-AIHA cohort: 1.3%), and solid tumors (wAIHA cohort: 16.8%; non-AIHA cohort: 12.6%). The most common comorbidities for both cohorts were hypertension (wAIHA cohort: 77.4%; non-AIHA cohort: 78.3%) and dyslipidemia (wAIHA cohort: 72.2%; non-AIHA cohort: 74.7%). Survival rates in the wAIHA and non-AIHA cohorts were 80.3% vs 84.0% at 12 months, 70.7% vs 77.6% at 24 months, and 63.7% vs 73.1% at 36 months, respectively (all p<0.001). Patients with wAIHA were at 20%, 27%, and 30% higher risk of death at 12, 24, and 36 months, respectively, compared to patients without AIHA (hazard ratios: 1.20, 1.27, and 1.30; all p<0.001). CONCLUSIONS: This large retrospective study is the first to assess real-world incremental mortality associated with wAIHA among Medicare beneficiaries. Patients with wAIHA were at significantly greater risk of death following the initial diagnosis. These results may point to potential gaps in early diagnosis and effective disease management, which could contribute to increased mortality. Future research should focus on specific subgroups within the wAIHA cohort to identify differences in mortality as well as characteristics that may be associated with death.

Abstract Background Despite CD19-directed chimeric antigen receptor T (CAR-T) therapy achieving remarkable remission rates in relapsed/refractory B-cell acute lymphoblastic leukemia (R/R B-ALL), long-term survival remains constrained by T-cell exhaustion and immunosuppressive microenvironments. Dasatinib, a tyrosine kinase inhibitor (TKI), has been shown to alleviate T cell exhaustion and enhance CAR-T cell persistence, demonstrating therapeutic synergy in newly diagnosed ALL. However, it may also suppress CAR-T cytotoxicity and is ineffective against BCR-ABLT315I mutations. Third-generation TKIs, including ponatinib and olverembatinib, effectively overcome T315I-mediated resistance, yet their impact on CAR-T cell function and immune modulation remains insufficiently defined. Methods and Results: We first established in vitro co-culture models of CD19 CAR-T cells with the B-ALL cell line NALM6 to evaluate the effects of dasatinib, ponatinib and olverembatinib on resting and tumor antigen-activated CAR-T cells. At clinically relevant concentrations, none of the TKIs affected resting CAR-T viability. In contrast, upon activation, all three TKIs significantly inhibited CAR-T activation, cytotoxicity, and cytokine secretion (IL-2, TNF-α, IFN-γ), while reducing activation-induced CAR-T cell apoptosis. TKIs treatment also downregulated exhaustion markers (eg. PD-1, TIM3, LAG3) and promoted differentiation toward naïve (TN) and central memory (TCM) subsets, while reducing terminal effector T cells. After the drug elution, CAR-T cells regained their cytolytic function in response to tumor targets. Notably, ponatinib-treated CAR-T cells exhibited higher levels of IFN-γ, TNF-α and IL-2 post-washout compared to other groups. Importantly, the TN/TCM phenotype and low exhaustion marker expression were preserved after washout in all TKI-treated groups. Transcriptomic profiling of CAR-T cells in vitro revealed that all three TKIs downregulated key exhaustion-associated genes, including PDCD1, HAVCR2, CTLA4 and NR4A1, along with upregulation of stemness- and memory-associated genes (eg. CCR7, TCF7, LEF1, IL7R). Gene set enrichment analysis showed inhibition of T-cell activation, apoptosis, glycolysis, and TGF-β signaling by all TKIs. Remarkably, ponatinib uniquely activated the IFN-γ pathway, suggesting superior immunostimulatory effects. Mechanistically, all three TKIs suppressed the phosphorylation of AKT, p38 MAPK, and NF-κB p65, indicating shared inhibition of downstream TCR signaling. Based on these findings, we evaluated ponatinib in a clinical setting. A prospective study (No. ChiCTR2000036350) enrolled three R/R B-ALL patients with the BCR-ABLT315I mutation. All the patients received CD19 CAR-T cell therapy followed by ponatinib maintenance, initiated two months post-infusion. All three patients remained progression-free during ponatinib maintenance. Notably, the DNA copies of CAR-T cells remained detectable at months 5 and 9 after ponatinib treatment in two patients, respectively. To further explore the in vivo effects of ponatinib on T cells and other immune cells,peripheral blood mononuclear cells were collected from these patients before and one month after ponatinib initiation for single-cell RNA sequencing. Ponatinib exposure led to an increased proportion of CD8+T cells and a decreased abundance of myeloid cells subsets. Within T cells, effector cells expanded while Tregs and exhausted T cells decreased. Differential gene analysis showed suppression of activation, adhesion, apoptosis, and PD-1/PD-L1 signaling, aligning with in vitro results. Functional scoring revealed enhanced cytotoxicity, IFN-γ responses, and reduced glycolysis, exhaustion, TGF-β, and Treg signatures. Furthermore, analysis of NK cell subsets showed enhanced cytolytic scores and enrichment of proliferation and immune activation pathways, suggesting that ponatinib preserves innate immune responses in vivo. Conclusions: This study provides preclinical and preliminary clinical evidence that third-generation TKIs, particularly ponatinib, can effectively alleviate CAR-T cell exhaustion, promote memory phenotypes, and remodel the immune microenvironment. Compared to dasatinib and olverembatinib, ponatinib uniquely enhances effector cytokine production and activates the IFN-γ pathway. These findings support ponatinib as a promising combinatorial agent with CAR-T therapy, offering a rational strategy for improving outcomes in patients with T315I-mutated R/R B-ALL.

Abstract INTRODUCTION Immune checkpoint inhibitors (ICIs) have emerged as a cornerstone of cancer therapy. However, despite their efficacy, ICIs can cause a unique spectrum of autoimmune toxicities known as immune-related adverse events (irAEs). In contrast to irAEs involving other organ systems, hematologic irAEs such as ICI-associated immune thrombocytopenia (ICI-ITP) are less common. As a result, existing data on ICI-ITP are largely confined to isolated case reports, single-center case series, and pharmacovigilance databases lacking granular clinical data. To address this key knowledge gap, we sought to comprehensively characterize the incidence, risk factors, clinical features, treatments, and outcomes associated with ICI-ITP. METHODS We performed a multicenter cohort study of adult patients who initiated ICI therapy at 29 hospitals across 7 major cancer centers in 11 geographically diverse states in the US between 2016-2023. ICI-ITP was defined as a decline in platelet count to <100 x109/L in the absence of an alternative more plausible etiology of thrombocytopenia. Patients with hematologic malignancies were excluded, as were those who received cytotoxic chemotherapy within 30 days prior to thrombocytopenia onset. For each patient identified as having ICI-ITP, we collected data on demographics, comorbidities, medications, laboratory values, treatments, and outcomes. All data were extracted by manual chart review. To identify risk factors for ICI-ITP and to examine its association with death, for each case of ICI-ITP we also collected data on two control patients who initiated ICI therapy at the same site and in the same year but without development of ICI-ITP. We used multivariable logistic regression to identify independent risk factors for ICI-ITP and its recovery (the latter defined according to criteria established by the ITP International Working Group). We used a multivariable Cox model to examine the association between ICI-ITP and its severity with all-cause mortality. RESULTS We identified a total of 214 patients who developed ICI-ITP among 86,648 examined (0.25%). The incidence was highly consistent across sites (range, 0.15–0.30%). Risk factors for ICI-ITP included simultaneous receipt of two different classes of ICIs, additional irAEs, and a lower baseline platelet count. ICI-ITP developed at a median of 8 weeks (IQR, 4–18) following ICI initiation. The median nadir platelet count was 41 x109/L (IQR, 17–64). Six out of 214 patients (2.8%) developed a major bleed, and 16 patients (7.5%) developed a clinically relevant non-major bleed. Cell-bound anti-platelet antibody testing was positive in 6 of 8 patients (75.0%) for whom it was assessed, and median circulating thrombopoietin levels (201 pg/mL [IQR, 178–295]) were similar to those seen in primary ITP. Treatments used included glucocorticoids (49.5%), immune globulin (18.2%), and thrombopoietin receptor agonists (13.6%). Overall, 161 patients (75.2%) recovered from ICI-ITP at a median of 2 weeks (IQR, 1–5) following ICI-ITP onset. Predictors of recovery included additional irAEs and a higher nadir platelet count. Treatment response was observed in 57.0%, 56.4%, and 58.3% of patients within 60 days following initiation of glucocorticoids, immune globulin, and thrombopoietin receptor agonists, respectively. Of 76 patients rechallenged with an ICI, 23 (30.3%) developed recurrent ICI-ITP at a median of 9 weeks (IQR, 2–15); 17 of these 23 patients (73.9%) recovered. Finally, ICI-ITP and its severity were monotonically associated with a higher risk of death (adjusted hazard ratio 2.96 [95% CI, 2.14–4.08] for those with severe ICI-ITP compared to those without ICI-ITP). CONCLUSION In this multicenter study involving patients treated with ICIs at 29 hospitals across the US, we identified 214 patients with ICI-ITP. For the first time, we characterize in detail the incidence, risk factors, clinical features, treatments, and outcomes of ICI-ITP, a relatively novel disease entity. We found that more than half of patients responded to conventional ITP-directed therapies, and that most patients rechallenged did not develop recurrent ICI-ITP. We also found that ICI-ITP was independently associated with an increased risk of death, including a nearly 3-fold increased risk in those with severe ICI-ITP. These findings highlight ICI-ITP as a rare but clinically significant complication of ICI therapy that hematologists must be equipped to recognize and manage.

Abstract Introduction: Among Non-Hodgkin lymphomas (NHL), DLBCL is the most prevalent subtype (~30% of diagnoses). First-line (1L) chemoimmunotherapy cures many patients (pts), but 30-40% will relapse. Prognostic and predictive biomarkers are needed to identify pts refractory to 1L therapy or at high risk of relapse, enabling timely intervention and improved outcomes. This study evaluated tumor-informed WGS-based longitudinal ctDNA monitoring in a real-world DLBCL cohort. Methods: We retrospectively analyzed ctDNA data from 49 pts with DLBCL. Plasma samples were collected before, during, and at the end of 1L therapy (EOT, defined as ± 21 days from the last infusion (preferred when available) or ± 14 days from post-treatment PET imaging) and during surveillance/subsequent treatments. A WGS-based tumor-informed assay (Signatera™ Genome, Natera, Inc.) was used for ctDNA detection and quantification. The association of ctDNA dynamics with event-free survival (EFS) was evaluated using Cox regression analysis, restricted to pts completing at least 5 cycles of 1L therapy. Results: The median age of the cohort was 62 years (range: 56-74), and median follow-up was 22 months (range: 14-30). Pre-treatment ctDNA-positivity rate was 100% (31/31). A total of 19 pts achieved ctDNA clearance during 1L therapy (early clearance within 3 cycles, n=5; late clearance between cycle 4 and EOT, n=14). Pts with no clearance or ctDNA-positivity at EOT (n=7) had significantly inferior EFS compared to those achieving ctDNA clearance (HR 8.04, 95%CI: 1.87-34.62, p=0051). On further stratifying the clearance group and comparing with no clearances, pts with early clearance had superior outcomes (HR 13.22, 95%CI: 1.48-1741.94, p=0.0166), relative to late clearances (HR 5.65, 95%CI 1.46–25.16, p=0.0129). Notably, all 5 pts with early ctDNA clearance remained serially negative and relapse-free. Of the 49 pts, 9 proceeded to chimeric antigen receptor T-cell therapy (CAR-T). Among 6 of these pts with available ctDNA results pre and post therapy, all 3 who stayed ctDNA-positive after CAR-T relapsed (1.3, 2, and 4.5 months post-infusion); 1 pt with pre- and post-CAR-T ctDNA-negativity and 2 pts with ctDNA clearance post-CAR-T remained relapse-free for 9.6, 15.9, and 22.4 months, respectively. Taken together, the PPV and NPV for a single ctDNA time point post CAR-T infusion were 100% for predicting long-term clinical outcomes. Conclusions: Our data support longitudinal ctDNA monitoring as a valuable prognostic and predictive biomarker in DLBCL. ctDNA clearance, particularly early clearance within the first 3 cycles of 1L therapy, is associated with improved pt outcomes. Longitudinal ctDNA monitoring and dynamics can enable identification of high-risk pts who do not clear ctDNA and may benefit from earlier referral for CAR-T. Furthermore, ctDNA monitoring pre- and post-CAR-T infusion is predictive of treatment response and can identify pts at high risk of relapse.

Abstract A systematic approach to identifying novel therapeutic strategies is essential for expanding curative options in hematopoietic malignancies such as acute myeloid leukemia (AML). We have recently established a high-resolution genetic platform that enables de novo therapeutic development through the CRISPR-Tiling Instructed Computer-Aided (CRISPR-TICA) workflow (Nat Struct Mol Biol 2024, PMID: 38316881). Using this approach, we further identified a new therapeutic pocket and its lead compound for AML treatment (Sci Adv 2024, PMID: 38394203). Here, we present an integrative pipeline, CRISPR-TICA.ai, which combines CRISPR-based functional genomics with generative artificial intelligence (GenAI)-driven ligand modeling to perform high-throughput evaluation of the top 100 leukemia-essential genes and their therapeutic potential in AML. We first used the CRISPR screen dataset published by Novartis (Cancer Discov 2016, PMID: 27260157), which tile-scanned 68 genes in three cancer cell lines, as the initial training dataset to establish the CRISPR-TICA.ai pipeline. Structurally, ligandable protein surface pockets were identified by employing the P2Rank algorithm (J Cheminform 2018, PMID: 30109435). For each pocket, we used the structure-guided diffusion model DiffSBDD (Nat Comput Sci 2024, PMID: 39653846) to generate previously unseen chemical structures that differ substantially from existing drugs, thereby enabling the exploration of novel chemical space. The model was further fine-tuned using direct preference optimization (NeurIPS 2023) against a curated dataset of known inhibitors to enrich for favorable binding profiles (low binding free energy, ΔG) and calibrated against drug-likeness (QED), synthetic accessibility (SA), lipophilicity (logP), and Lipinski's rule compliance. Additionally, our pipeline integrates ligand–protein contact maps with CRISPR-hypersensitive positions to assess spatial interactions, prioritizing ligands that effectively mask biologically essential residues with high affinity. The utility of CRISPR-TICA.ai in AML drug discovery was evaluated- we selected the top 100 leukemia-essential genes from the DepMap database (https://depmap.org/portal/) and generated custom CRISPR libraries for high-resolution gene tiling screens. These libraries comprised 20,233 sgRNAs to tile-scan all 100 genes (47,901 amino acid residues) in Molm13 AML cells at an average resolution of 2.4 amino acids per sgRNA. This dataset provided in-depth structural and functional input for CRISPR-TICA.ai to examine AI-enabled ligand design for over 300 high-confidence druggable pockets in AML. We further developed a user-friendly, web-based 3D visualization platform that interactively maps functional CRISPR hotspots alongside predicted pockets and ligands to enhance accessibility and reproducibility. This tool allows visualization of CRISPR tiling scores, predicted binding pockets, and ligand prioritization, enabling interactive exploration and application. To annotate therapeutically relevant sites, we incorporated data from multiple genomic and proteomic resources, including AlphaFold protein models, Pfam domain annotations, post-translational modification (PTM) sites, and COSMIC leukemia mutational data. Exportable files and GitHub integration are also provided for advanced users to deploy CRISPR-TICA.ai within their facilities.In summary, our study introduces a scalable, leukemia-focused framework for de novo therapeutic discovery. By integrating high-density CRISPR mutagenesis with diffusion-based GenAI modeling, CRISPR-TICA.ai provides a rational roadmap for compound design targeting residues essential for leukemia maintenance. Importantly, the CRISPR-TICA.ai pipeline is adaptable to CRISPR tiling datasets from solid tumors (e.g., the Novartis dataset), highlighting its versatility across diverse cancer types. This approach is especially promising for addressing historically undruggable and resistance-prone targets in AML and beyond.

Abstract Background: For patients with B-cell acute lymphoblastic leukemia (B-ALL), extramedullary relapse after allogeneic hematopoietic stem cell transplantation (allo-HSCT) carries an extremely unfavorable prognosis. As a new immunotherapy, chimeric antigen receptor T (CAR-T) cell therapy has shown remarkable effects in refractory or relapsed B-ALL (r/r B-ALL). However, there is still a lack of evidence for its efficacy and safety in patients with extramedullary relapse after allo-HSCT. The aim of this study was to evaluate the safety and efficacy of allogeneic CAR-T in such high-risk populations. Method: We conducted a prospective clinical study, during which 7 patients with B-ALL who experienced extramedullary relapse after allo-HSCT were enrolled between October 2019 and January 2025. These patients all received allogeneic CD19 CAR-T cell therapy. We prospectively evaluated the safety, efficacy, and survival outcomes following CAR-T treatment. This study was registered at www.chictr.org.cn (No. ChiCTR2000036350). Results: This study included 7 patients with extramedullary relapse after allo-HSCT. Median age was 21 years (range: 15 - 46 years), and the median follow-up time was 415 days (range: 130 - 1320 days). The last follow-up was conducted until July 5, 2025. All the patients were classified as high-risk patients before transplantation. Four of them were Philadelphia chromosome/BCR-ABL positive (Ph+). The sites of extramedullary relapse included: 5 cases of central nervous system (among which 2 cases were accompanied by BCR-ABL molecular relapse in the bone marrow), 1 case of testicular relapse, and 1 case of extensive extramedullary relapse. The median interval from transplantation to extramedullary relapse was 628 days (44 - 1225 days). All patients received chemotherapy, radiotherapy or targeted therapy to reduce tumor burden before infusion. The infusion dose of CAR-T cells was 4 - 10 × 10⁶/kg. After infusion, one patient developed grade 3 cytokine release syndrome (CRS) and grade 4 immune effector cell-related neurotoxicity syndrome (ICANS), while the remaining patients did not experience grade 2 or higher CRS or ICANS. No patients developed graft-versus-host disease (GVHD), and all adverse events were resolved. In terms of therapeutic efficacy, one patient was considered unresponsive at the first assessment after infusion (54 days after infusion). The remaining 6 patients all achieved complete remission (CR) efficacy. The median duration of CR was 275 days (range: 120 - 1305 days). During the follow-up period, one patient suffered from central nervous system relapse again at 275 days post-infusion, while the other 5 maintained a continuous CR. The expansion of CAR-T cells in peripheral blood peaked between days 8 to 15 post-infusion, with a median peak of 1.90E+05 copies/μg DNA (range: 1.78E+04 – 3.18E+05 copies/μg DNA), and the longest duration of detectable expansion was 1320 days. Furthermore, CAR-T cells were detected in the cerebrospinal fluid of three patients, indicating their capability for targeted migration and central nervous system infiltration. Conclusion: Overall, allogeneic CAR-T therapy has demonstrated excellent safety and durable anti-leukemia effects in high-risk ALL patients with extramedullary relapse after transplantation.

Abstract Introduction: Primary myelofibrosis (PMF), a myeloproliferative neoplasm (MPN), features bone marrow fibrosis, splenomegaly, and abnormal blood cell production. Aberrant JAK/STAT signaling, elevated cytokines or hyperactive NFκB are implicated in MPN pathogenesis; however, their interplay remains unclear. JAK inhibitors (JAKi) alleviate PMF symptoms, but they don't fully address disease progression or mitigate cytokine storms. NFκB inhibitors have shown promise in MPN models but are associated with off-target effects and toxicities. This study aims to elucidate the mechanisms of JAKi resistance and develop novel therapeutic strategies targeting hyperactive NFκB in vitro and in vivo, offering potential benefits beyond current JAKi therapies. Methods: To investigate JAKi resistance in PMF, ruxolitinib-resistant HEL cells were generated and NFκB/JAK2/STAT signaling was examined by Western blot. Biomarkers associated with JAKi response were identified in PMF patients treated with BMS-9115437 (Gangat et al, Blood Cancer J, 2023) via Western blot. Molecular mechanisms of MPN pathogenesis were further elucidated using Affymetrix HG-U133Plus2 assay on RNA from treatment-naïve PMF, essential thrombocythemia (ET), polycythemia vera (PV) patients and healthy donors, followed by KEGG and gene set enrichment (GSE) analysis. In vitro, NFκB was inactivated by shRNA, Ixazomib or emetine followed by Western blot for NFκB/JAK2/STAT phosphorylation as well as flow cytometry and clonogenic assays for cell growth. NFκB DNA binding activity was determined by electrophoretic mobility-shift assays (EMSA). The therapeutic and preventive effects of Ixazomib and emetine were evaluated in HEL-engrafted nude mice by assessing tumor formation, development, and underlying mechanisms using Western blot, H&E and IHC staining. Results: Short-term JAKi (BMS-911543, ruxolitinib) exposure altered JAK2 phosphorylation, increasing Tyr1008 phosphorylation and decreasing Tyr221, Tyr570, and STAT5 phosphorylation. Notably, JAK2, STAT3 and STAT5 were phosphorylated in ruxolitinib-resistant HEL cells or after treatment cessation, implying sustained signaling activity. Western blot analysis and clinical data in PMF patients (n=3) receiving BMS-911543 showed no hyperphosphorylation of JAK2 Tyr1008 with diverse responses independent of JAK2V617F status. A lack of correlation between JAK2 and STAT5 expression/phosphorylation suggests that other factors contribute to hyperactive STAT5 in PMF. Symptomatic improvement in a JAK2V617F-positive patient correlated with decreased STAT5 protein expression and phosphorylation, potentially serving as a predictor for JAKi response. Transcriptomic analysis in MPN patients (PMF (n=11), ET (n=6), PV (n=4), HD (n=5)) pinpointed the transcriptomic dissimilarities between PMF and PV or ET, and highlighted the higher NFκB activity in PMF compared to PV or ET. The importance of NFκB in PMF was further evidenced by the network analysis for the overproduction of circulating cytokines in PMF patients (Tefferi et al, JCO, 2011). In vitro studies revealed that NFκB overexpression promotes cell proliferation and inhibits apoptosis through enhanced IL-6/IL-6R expression and JAK2/STAT5 phosphorylation. Inactivating NFκB using shRNA, emetine, or ixazomib reversed these effects. Further, IL-6 treatment increased JAK2 phosphorylation. In vivo studies showed that Ixazomib significantly reduces tumor volume (734 ±133 to 98 ±14 mm3; P <0.001) and weight (582 ±156 to 87 ±22 mg; P =0.0005) compared to controls. Emetine similarly suppressed tumor growth dose-dependently without affecting spleen weight and even prevented tumor formation when administered prior to cell engraftment. Mechanistically, both Ixazomib and emetine inhibited NFκB and JAK2 phosphorylation while increasing cleaved caspase-3 in tumors. Conclusions: We discovered that STAT inactivation independently predicts improved outcomes in PMF and that NFκB hyperactivity holds particular significance for PMF compared to other MPN subtypes. We identified a NFκB-IL-6-JAK2-STAT axis in regulating PMF growth regardless of JAK2V617F status. Targeting NFκB with novel inhibitors Ixazomib and emetine disrupts the NFκB-IL-6-JAK2-STAT axis, suppressing PMF growth and offering potential therapeutic alternatives to overcome current JAKi limitations.

Abstract Introduction: Iron deficiency (ID) is a global epidemic with discrepant definitions of both ID and anemia in pregnancy. Iron requirements increase during pregnancy and deficiencies should be corrected to avoid adverse maternal-fetal outcomes. Current guidelines recommend only screening for ID during pregnancy in the presence of anemia despite the global epidemic of ID in reproductive-age females and availability of ferritin as a high-value biomarker. To address this unmet need and gap in care, we implemented a standardized approach to screening and treating ID in pregnancy. Methods: In March 2024 at the ASH Quality Improvement Training Institute, our multidisciplinary team with representatives from hematology, obstetrics, anesthesiology, and patient blood management developed a quality improvement (QI) initiative to standardize an approach to screening and treating ID in pregnancy. After local dissemination and education of the standardized care pathway via patient/provider handouts and divisional presentations, obstetric providers paired ferritin testing with two standard hemoglobin assessments in early (8-12 weeks gestation) and late (24-28 weeks gestation) pregnancy to minimize lab draws and optimize logistics. The process was facilitated by modifying prenatal order sets in the electronic medical record. ID was defined as a ferritin <50 mcg/L and anemia was defined as a hemoglobin <11 g/dL. If ID was present in early pregnancy, oral iron supplementation was offered; if ID was present in late pregnancy, an IV iron infusion (low molecular weight iron dextran, 1 gram) was offered regardless of anemia status. Results: Obstetric data were captured pre-intervention from January 2023 – February 2024 (n=2097 pregnancies) and post-intervention from March 2024 – June 2025 (n=2429 pregnancies). Ferritin screening rates improved from 10% (205/2097) to 63% (1534/2429). Of those ferritin tests, 66% demonstrated ID in the pre-intervention cohort and 69% demonstrated ID in the post-intervention cohort. Anemia rates by measured hemoglobin during pregnancy were 25% in both the pre-intervention and post-intervention cohorts despite 92% having documentation of prenatal vitamins containing iron (PNV). Iron dextran infusion rates improved from 0.9% (18/2097) to 21% (507/2429). Of those receiving IV iron dextran, 39% had documentation of both PNV as well as additional oral iron supplementation. Overall, the median hemoglobin improved from 10.7 to 11.8 g/dL in those receiving IV iron dextran. This included increases from 12.0 to 12.8 g/dL in those without anemia and from 11.2 to 12.1 g/dL in those with ferritin 30-50 mcg/L after IV iron. Prior to initiation of this QI project, 3.1% of pregnancies (65/2097) required a blood transfusion during admission for delivery. After initiation of this project, 2.7% of pregnancies (65/2429) required a blood transfusion, of which 46 did not receive IV iron and 33 did not have a ferritin checked. Conclusions: ID in pregnancy is underrecognized and undertreated. Through a multidisciplinary QI initiative, screening for ID improved from 10% to over 60% of pregnancies within one year of project initiation. Over the same period, there was a 20-fold increase in the number of IV iron dextran infusions resulting in an increase in median hemoglobin by over 1 g/dL and a signal for decreased transfusion requirements. This occurred despite almost universal supplementation with a PNV. This standardized approach to screening and treating ID was performed by the obstetrics teams and could be implemented within varied practice models. Given the potential implications for reevaluation of appropriate reference ranges and equitable prenatal care globally, additional studies are warranted to better characterize ID in pregnancy as well as clinical sequelae for both mothers and infants. Simultaneously, discussions are needed around current guidelines and recommendations for both screening and treating ID in pregnancy.

Abstract Background Etentamig is a second-generation B-cell maturation antigen (BCMA) x CD3 bispecific antibody that has shown promising efficacy and a favorable safety profile in heavily pretreated patients with relapsed/refractory multiple myeloma (RRMM). Etentamig possesses a unique combination of 2 high-affinity BCMA binding domains, coupled to a low-affinity CD3 binding domain that have been shown to reduce the negative impact of soluble BCMA (sBCMA), decrease risk for cytokine release syndrome (CRS), and drive sustained T-cell activation with reduced immune exhaustion in preclinical models of MM (Blood 2023;142 [suppl 1]:4666). Here, we describe correlative biomarker analyses from Phase 1 (NCT03933735) and Phase 1b (NCT05650632) clinical trials of etentamig in RRMM designed to assess the impact of sBCMA on clinical response and pharmacodynamic changes in proinflammatory cytokines, and T-cell redistribution, activation, proliferation, and exhaustion. Methods Peripheral blood and serum samples from patients with RRMM enrolled in Phase 1 and Phase 1b open-label studies who received etentamig monotherapy were collected at baseline, on treatment, and at disease progression. The Phase 1b study consisted of dose-optimization (DO) and dose-expansion (DE) phases. During DO, patients received a single step-up dose (SUD) of intravenous etentamig (2 or 4 mg) on Cycle (C) 1 Day (D) 1, followed by the target dose of 60 mg on D4. In DE, based on DO findings, patients received the recommended etentamig SUD (2 mg) on C1D1, followed by 60 mg on D4 with modified dexamethasone predosing. Samples were analyzed by flow cytometry for immune cell populations, Luminex® for cytokines, and electrochemiluminescence for sBCMA. Peripheral blood mononuclear cells and bone marrow mononuclear cells (BMMC) at baseline and on-treatment were subjected to single-cell Cellular Indexing of Transcriptomes and Epitopes sequencing (scCITEseq) and single-cell T-cell receptors (scTCR) / B-cell receptors clonality analyses. Results While baseline serum sBCMA levels did not correlate with clinical response to etentamig at the selected dose level of 60 mg every 4 weeks (Q4W) with 2 mg SUD, a reduction in sBCMA levels over time was associated with best International Myeloma Working Group response. Etentamig treatment led to a rapid and transient increase of proinflammatory cytokines and promoted T-cell redistribution, activation, and proliferation. Maximum reduction in peak levels of CRS-related cytokines, including (interleukin [IL]-6, IL-8, IL-10, tumor necrosis factor–a), were observed in DE compared with DO and 60 mg Q4W without SUD. Peak induction levels of proinflammatory cytokines during C1 correlated with occurrence of CRS (≥Grade [G] 1) as well as clinical response across dose levels. A modified dexamethasone premedication schedule of 2 mg/60 mg Q4W cohort for C1 resulted in significantly reduced baseline levels of IL-6 and key macrophage-associated cytokine/chemokines (eg, monocyte chemoattractant protein-1 and macrophage inflammatory protein-3 beta). Incidence of CRS was lowest in the 2 mg/60 mg Q4W cohort (26% G1, 4% G2, 0% ≥G3). Higher T-cell to myeloma cell ratio in BMMCs at baseline correlated with better response to etentamig. scCITEseq and scTCR analysis revealed that at baseline, responders also had greater CD8+ T-cell cytotoxic activities, increased TCR clonality, and elevated inflammatory signatures in T-cells from both peripheral blood and bone marrow. Etentamig at a dosage of 60 mg Q4W resulted in significant clonal expansion of CD8+ effector T-cells and enhanced gene expression signatures related to activation and cytotoxicity in both CD8+ T effector and natural killer cells. Along treatment cycles, responders maintained their T-cell fitness, high clonality, and low T-cell exhaustion levels. Frequency of baseline CD4+ or CD8+ T-cell exhaustion (programmed cell death receptor 1+/ T cell immunoglobulin and mucin-domain containing-3 +) did not impact clinical response at optimal dose level of 2 mg/60 mg Q4W etentamig. Conclusions Responses to etentamig were independent of baseline sBCMA levels and resulted in rapid and transient proinflammatory cytokine production that promoted robust T-cell redistribution, activation, and proliferation indicating that the optimal dose of etentamig (2 mg/60 mg Q4W) maximizes its clinical potential as a convenient, safe, and effective therapy for MM.

Abstract Introduction Defining the epidemiology of myelodysplastic syndromes/neoplasms (MDS) and precursor conditions, such as clonal cytopenia of undetermined significance (CCUS), is challenging due to inconsistent reporting, complex diagnostics, and evolving criteria. The National MDS Natural History Study (NHS) overcomes these challenges through central pathology review, prospective follow-up, and a nationally representative cohort enrolled at the time of suspected MDS, enabling robust analysis across the myeloid disease spectrum. We analyzed clinical, genetic, and pathologic features in NHS participants by race, ethnicity, and sex to characterize disease variation across populations. Methods The NHS (NCT02775383) enrolled individuals undergoing evaluation for suspected MDS from June 2016–July 2024 at 102 US sites. Participants underwent bone marrow assessment with centralized, adjudicated histopathology review. Those meeting WHO 2016 criteria for MDS, MDS/myeloproliferative neoplasm (MPN), CCUS, idiopathic cytopenia/dysplasia of undetermined significance (ICUS/IDUS), or oligoblastic AML were followed longitudinally. Demographics, comorbidities, exposures, and clinical data were collected at baseline and every 6 months. Deep DNA sequencing was performed on baseline marrow, with pathogenic variants manually curated (53 genes). Statistical analyses assessed associations using chi-squared, Fisher's exact, Kruskal-Wallis, logistic regression, and Cox models. A p-value <0.05 was considered significant. Results Among 2,021 participants, 1,174 (58%) were diagnosed with MDS or precursor conditions. Median age was 74 years (yrs) and 66% were male. Most identified as Non-Hispanic White (NHW, 92%), with 4% Black and 4% Hispanic. The most common diagnoses were MDS (42%) and CCUS (37%). Pathogenic somatic mutations were identified in 84% (774/918) of MDS/CCUS, with TET2 (26% of 918), DNMT3A (21%), and ASXL1 (16%) most frequent. Median follow-up was 1.8yrs and consistent across race, ethnicity, and sex (p≥0.6). Black, compared to NHW, participants were younger (69 vs 74 yrs, p=0.006) and trended toward more females (47% vs 34%, p=0.09) and more MDS diagnoses (51% vs 41%, p=0.07). Black participants showed more advanced disease (e.g., lower hemoglobin, higher peripheral blood blasts, higher variant allele frequencies (VAFs) of pathogenic mutations), yet received less MDS-directed treatment (14% vs 41%, p=0.01). Black, compared to NHW, participants had more mutations in RUNX1, TP53, BCOR, and DNMT3A, but fewer in TET2 and ASXL1. Hispanic, compared to Non-Hispanic, participants had fewer known pathogenic mutations, leading to more ICUS (19% vs 5%, p=0.02). Females, compared to males, were younger at diagnosis (72 vs 75yrs, p<0.001), had more ICUS/IDUS (20% vs 10%, p<0.001), fewer pathogenic mutations, especially in splicing/chromatin modifier genes (U2AF1, SRSF2, ASXL1, ZRSR2), more DNMT3A mutations, and lower VAFs (0.27 vs 0.33, p<0.001). Median overall survival (OS) was 6.4yrs, and shorter in MDS (4.2yrs) than CCUS (not reached). Worse OS was associated with age (adjusted hazard ratio (aHR) 1.06), MDS (vs CCUS; aHR 1.89), higher-risk disease by IPSS-R/CCRS (aHR 2.15), and TP53 mutations (aHR 2.17) (all p<0.001). A trend toward improved OS in Black participants was attenuated after adjustment (aHR 0.79, p=0.6). Progression (e.g., worsening of disease, increase in transfusion dependency, death) occurred in 53% of participants. Worse progression-free survival (PFS) was associated with MDS diagnosis (aHR 2.59), higher-risk disease by IPSS-R/CCRS (aHR 2.17), and TP53 mutations (aHR 1.86) (all p<0.001). Despite more advanced disease and less MDS therapy, Black participants trended toward improved PFS (aHR 0.62, p=0.14), while age was borderline significant (aHR 1.01, p=0.05). Conclusions For the first time, we show that among individuals evaluated for suspected MDS at sites across the US, 58% had MDS or precursor conditions. Differences across demographics underscore the heterogeneity of MDS. Black participants presented with more advanced MDS, received less treatment, but trended toward improved outcomes, particularly PFS, even after adjustment, suggesting biological rather than access-to-care differences driving disparities. These findings highlight the complex interplay of sex, race, and genetics in shaping MDS outcomes and reinforce the need for diverse, large-scale studies to improve risk stratification and personalized care.