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Introduction: Survival of children with relapsed/refractory (r/r) acute myeloid leukemia (AML), myelodysplastic syndromes (MDS) and juvenile myelomonocytic leukemia (JMML) remains dismal, and successful treatment approaches are limited. Myeloid leukemias frequently have high telomerase expression, and neoplastic progenitor cells have relatively shorter telomeres compared to normal tissues due to the balance between frequent malignant cell division and compensatory increased telomerase activity. In one study, the 5-year overall survival (OS) in children with AML and lower telomerase activity was 88% compared to 43% for those with higher activity, suggesting potential prognostic and therapeutic importance of telomerase in this population (Verstovsek Cancer 2003). Imetelstat is a first-in-class telomerase inhibitor approved by the FDA in 2024 for the treatment of adult patients with low-to-intermediate-1 risk myelodysplastic syndromes (LR-MDS) with transfusion-dependent anemia who are r/r/ineligible for erythropoiesis-stimulating agents. . Imetelstat has also been shown to drive AML cells into ferroptosis (Bruedigam Nature Cancer 2024). The Children's Oncology Group (COG) previously conducted the ADVL1112 Phase 1 study of imetelstat monotherapy in children with r/r solid tumors or lymphomas (Thompson CCR 2013). Imetelstat was administered intravenously on Days 1 and 8 of a 21-day cycle. The recommended phase 2 dose (RP2D) was 268 mg/m2. Imetelstat was well-tolerated with no grade >3 non-hematologic toxicities and one dose-limiting thrombocytopenia observed in a subject treated at the RP2D. In preclinical studies, imetelstat was active against leukemia stem cells in pediatric AML patient derived xenograft models (Barwe J Clin Med, 2022). Methods: PEPN2312 is an open-label, multi-center phase 1 study of imetelstat in combination with fludarabine/high dose cytarabine (FLA) for patients with AML in second or greater relapse, refractory to re-induction after first relapse, or r/r MDS or JMML (NCT06247787). The primary objective of this study is to estimate the maximum tolerated dose (MTD) and/or RP2D of imetelstat in combination with FLA in this patient population. Secondary objectives include toxicity assessment, pharmacokinetics, clinical response/minimal residual disease assessments per standard criteria, and OS. Exploratory analyses will be conducted to analyze telomerase activity in peripheral blood mononuclear cells, conduct pharmacodynamic studies, and evaluate any changes in cytogenetic and mutational abnormalities. Eligible patients must be between the ages of 1 to 18 at the time of study enrollment with Lansky/Karnofsky performance status of ≥50. Patients with leukemia must have platelet count >25,000/µL and hemoglobin >8 g/dL (transfusions allowed). Patients known to have a congenital bone marrow failure syndrome are excluded. This study will use the Rolling 6 design to estimate the MTD/RP2D. The starting dose of imetelstat (DL1) is 212 mg/m2 IV over 2 hours (80% of the single-agent RP2D) given on days 1 and 8 of a 28-day cycle in combination with FLA administered days 2-6. Premedication for infusion reactions with an antihistamine and corticosteroid are required prior to each dose of imetelstat. Patients may receive up to 2 cycles of therapy in the absence of progressive disease or unacceptable toxicity as graded by CTCAE version 5.0. Response assessment will be performed via morphology and central flow cytometry analysis for patients with AML and standard response criteria for patients with JMML or MDS (Niemeyer Haematologica 2015; Zeidan Blood 2023). One dose escalation to 268 mg/m2 (DL2) will be explored if DL1 is deemed safe. Intra-patient dose escalation is not permitted. Pharmacokinetic sampling will be performed during cycle 1. Once the MTD/RP2D is determined, further assessment of safety and preliminary activity of imetelstat and FLA chemotherapy will occur in an expansion cohort of up to 6 additional patients treated at the MTD/RP2D. PEPN2312 was activated in July 2024 and will enroll at 21 participating COG/PEP-CTN sites.

Introduction: Epcoritamab (Epcor) is a novel subcutaneous CD3xCD20 bispecific antibody (bsAb) that is currently approved as monotherapy for the treatment of adults with relapsed or refractory (R/R) large B-cell lymphoma after ≥2 systemic therapies. The combination of Epcor with standard treatment regimens has been shown to be safe and efficacious; Epcor in combination with gemcitabine and oxaliplatin (Epcor+GemOx) has provided deep and durable responses with favorable survival outcomes in a transplant-ineligible R/R diffuse large B-cell lymphoma (DLBCL) patient (pt) population, of which 99% were from the US and Europe (EPCORE NHL-2; NCT04663347). Another CD3xCD20 bsAb, intravenous glofitamab, has been studied in combination with gemcitabine and oxaliplatin (Glofi+GemOx) in the randomized STARGLO trial (NCT04408638) and demonstrated benefit over rituximab plus GemOx (R-GemOx), despite not demonstrating superiority over R-GemOx in patients from the US and Europe. In the absence of head-to-head data, this study used matching-adjusted indirect comparisons (MAICs) to assess the comparative efficacy of Epcor+GemOx vs R-GemOx and vs Glofi+GemOx. Methods: Individual pt-level data from EPCORE NHL-2 arm 5 and aggregated data from pts in each of the STARGLO arms were used to conduct an MAIC. Logistic propensity score models were used to weight Epcor+GemOx-treated pts to create matched cohorts with the R-GemOx and Glofi+GemOx arms separately. Weighting was conducted based on the distribution of baseline characteristics and prognostic factors such as age, sex, Eastern Cooperative Oncology Group performance status, previous therapies, and primary refractory status. Overall response rate (ORR), complete response (CR) rate, progression-free survival (PFS), and overall survival (OS) were compared for Epcor+GemOx vs R-GemOx, and vs Glofi+GemOx. Results: A total of 103 pts treated with Epcor+GemOx (median follow-up: 13.2 months) were compared to 91 pts treated with R-GemOx and 183 pts treated with Glofi+GemOx (median follow-up: 20.7 months), although differences in median follow-up time limited comparisons of longer-term survival outcomes. Match-adjustment mitigated differences in baseline characteristics across the 3 cohorts. After adjustment, Epcor+GemOx demonstrated a significant 44.8% advantage in ORR over R-GemOx (85.4% vs 40.7%), with a 110% increase in the likelihood of achieving a response (odds ratio [OR] 2.1; 95% CI 1.6-2.8; P<0.0001). Epcor+GemOx also demonstrated a significant 43.2% advantage in CR rate over R-GemOx (68.5% vs 25.3%), with a 170% increase in the likelihood of achieving a CR (OR 2.7; 95% CI 1.8-4.1; P<0.0001). With the current follow-up, Epcor+GemOx demonstrated superior PFS vs R-GemOx (hazard ratio [HR] 0.37; 95% CI 0.22-0.63; P<0.001), corresponding to a 63% reduction in the risk of progression. Median OS was not reached [NR] for Epcor+GemOx vs 13.9 months for R-GemOx, corresponding to a 43% reduction in the risk of mortality (HR 0.57 [95% CI 0.33-0.98]; P=0.04). After adjustment, Epcor+GemOx demonstrated a significant 15% advantage in ORR over Glofi+GemOx (83.3% vs 68.3%), with a 20% increase in the likelihood of achieving a response (OR 1.2; 95% CI 1.0-1.4; P=0.021). Epcor+GemOx demonstrated a trend toward higher CR rate than Glofi+GemOx (66.8% vs 58.5%; OR 1.1; 95% CI 0.90-1.5; P=0.277). Adjusted median PFS and OS for Epcor+GemOx, with limited follow-up and substantial censoring, was 12.9 months and NR, respectively. For Glofi+GemOx with longer follow-up, PFS and OS were 13.8 months and 25.6 months, respectively. Conclusions: Results show significantly superior efficacy for all outcomes with Epcor+GemOx vs R-GemOx from STARGLO. Epcor+GemOx also provided superior ORR and a trend toward higher CR rates vs Glofi+GemOx, indicating potential for better long-term efficacy outcomes. The Epcor+GemOx survival data are still maturing given shorter follow-up time, preventing a robust comparison of survival vs Glofi+GemOx. Findings support the efficacy of Epcor+GemOx as an alternative therapeutic regimen in transplant-ineligible patients with R/R DLBCL.

Introduction: The combination of chemotherapy and immunotherapy, commonly referred to as chemo-immunotherapy (CIT), has long been a cornerstone in the treatment of lymphoma. Although this approach has resulted in successful treatments for many patients (pts), a significant number continue to experience unfavorable results, underscoring the urgency for improved treatments. There is still a significant gap in knowledge about the immune profile of lymphoma pts, specifically in terms of (1) how their immune phenotype compare to those of healthy individuals and (2) how treatment affects their immune system. This study aimed to compare the immune profiles of lymphoma pts (at baseline) to that of matched healthy controls, and track the changes in the immune system during and after lymphoma treatment. Methods: Pts with newly diagnosed, untreated lymphoma, without prior history of cancer or autoimmunity were enrolled in the Dyna-RISC study. Whole blood samples were collected at baseline (BL), on day 1 of cycle 2 (C2D1), on day 1 of last cycle (CLD1), and 6 months after completion of therapy (6mo). Age- and gender-matched healthy individuals provided blood for baseline comparison. Samples were stained fresh with a pre-mixed lyophilized cocktail containing 30 metal-tagged monoclonal antibodies (Maxpar Direct Immune Profile Assay), fixed and cryopreserved. Samples were barcoded and acquired in batches on the Helios CyTOF (cytometry by time-of-flight) system. Cytometry data was analyzed using OMIQ. Differential abundance analysis was performed using relative frequencies of cell subsets (% of parent) using a false-discovery rate of 0.05 to account for multiple comparisons. Results: Between 11/2020 and 06/2021, 15 lymphoma pts were enrolled. Median age was 62 years (range 43-86), 5 pts (33%) were female. Five pts had follicular lymphoma (FL), 3 had diffuse large B-cell lymphoma (DLBCL),1 had primary mediastinal B-cell lymphoma (PBML), 1 had classic Hodgking lymphoma (cHL), 1 had mantle cell lymphoma (MCL), 1 had plasmablastic lymphoma (PBL), 1 had splenic marginal zone lymphoma (SpMZL), 1 had ALK- anaplastic large cell lymphoma (ALCL), 1 had subcutaneous panniculitis-like T-cell lymphoma (SPTCL). Four pts received bendamustine plus rituximab (BR) and 7 pts received R-CHOP. In total, more than 30 million cellular events were acquired, resulting in over 18 million analyzable live single-cell events after expert manual gating. A total of 27 cell subsets were identified within 9 major immune cell compartments. At baseline, lymphoma pts showed significant reduction (p<0.05) of CD4+ naïve T cells (median 1.37%, range 0.33%-9.01%) compared to controls (median 9.28%, range 3.44-21.3%). Concurrently, lymphoma patients at baseline had significant elevation (p<0.05) of intermediate monocytes (median 2.1%, range 0.64%-5.73%) compared to controls (median 0.8%, range 0.2%-2.73%). Naïve cytotoxic T cells were significantly increased (p<0.05) in lymphoma pts at the 6mo timepoint (median 2.08%, range 0.7%-7.46%) compared to baseline (median 0.23%, range 0.03%-4.79%). A sub-group analysis restricted to patients who received either BR or R-CHOP with 6mo timepoint samples available (n=10), showed a significant reduction (p<0.05) in the frequency of CD4+ central memory T cells in the BR group (median 0.76%, range 0.06%-1.02%) compared to the R-CHOP group (median 3.3%, range 2.19%-5.0%). Additional results describing the details of the immune profile dynamics at intermediate timepoints (C2D1, CLD1) will be presented at the conference. Conclusion: Our results suggest that lymphoma patients have an unfavorable immune profile (high intermediate monocytes combined with low naïve CD4+ T cells) at the time of diagnosis, compared to matched healthy individuals. Their immune profile is reshaped after treatment with increase in naïve cytotoxic T cells 6 months after therapy. Bendamustine-based treatment seems to particularly affect T cell recovery post-therapy, leading to a reduction in CD4+ central memory T cells, compared to patients treated with R-CHOP. These findings highlight the importance of studying baseline and treatment-mediated immune changes in lymphoma pts. This characterization is of special interest in the context of therapies that rely on the fitness of immune cells to mediate an effect, such as chimeric antigen receptor (CAR) T cell therapy and bispecific T cell engagers (BiTEs).

Introduction As part of the Multiple Myeloma Research Foundation (MMRF) MyDRUG umbrella clinical trial, we compared immune cell transcriptomic and proteomic signatures of multiple myeloma bone marrow samples from patients assessed by single-cell RNA sequencing (scRNA-seq) and mass cytometry (CyTOF). The goal of our study is to evaluate the effects of cobimetinib on the immune repertoire over the treatment course at single-cell resolution. Methods Bone marrow samples were collected from patients prior to therapy with cobimetinib (baseline/BL), after 2 cycles of cobimetinib therapy (EOC2), after 2 cycles of combination cobimetinib with IPd (EOC4) and at the end of treatment or at disease progression (EOT). All samples were processed into CD138+ myeloma cell and CD138- “immune cell” fractions for single-cell analysis. In this study, the CD138- “immune cell” fractions were transcriptionally profiled by single-cell RNA-sequencing (scRNA) at up to four time points. Results Transcriptome profiles of approximately 50,000 cells were analyzed across 22 samples from 9 patients with tumor MAPK Pathway mutations including: BRAF (p.K483Q, p.V600E, n=2); KRAS (p.Q61H, p.G12V, p.G12R, n=3); NRAS (p.Q61H, p.Q61R, p.Q61K, n=4). A subset of paired samples were subject to CyTOF with two immune related panels to supplement the single-cell transcriptomic findings. Focusing on one immune panel, 4 samples were profiled at baseline and end of cycle 2 while two samples were profiled only at baseline capturing over 600,000 cells spanning both timepoints. Our immune focused CyTOF panel contained 41 markers including T and NK cell markers (CD4,CD8A,CD3, GZMB, CD56), Myeloid lineage markers (CD14), B/Plasma markers (CD19, CD20, SLAMF7, CD38) among others. The largest populations captured by CyTOF included 260,000 neutrophils, 139,000 monocytes, 130,000 CD4/CD8 T cells, 43,000 NK cells, 40,000 dendritic cells and 22,000 B/plasmablasts/myeloma cells. Exhaustion markers, including LAG3 and TIGIT, are increased in CD8 and CD4 T cells after MEK inhibition, while PD1 is downregulated. PD-L1 is upregulated in both T cell compartments (CD4/CD8), monocytes and in residual myeloma cells profiled by both CyTOF and scRNA-seq. Both the IFNG and STAT1 pathways are concurrently upregulated post MEK inhibition in transcriptionally distinct CD8 T cell subsets profiled by scRNA-seq, suggesting a mechanism influencing PD-L1 expression. Conclusions These data indicate IFNG pathway activation by CD8+ T cells post MEK inhibition promotes PD-L1 expression on residual myeloma cells, suggesting the PD-L1 and IFNG signaling axes is activated in relapsed refractory myeloma patients after MEKi treatment. Here we present immunophenotypic and transcriptional profiling of longitudinal samples pre/post-MEK inhibition with multiple myeloma patients which can inform precision guided treatment options.

Background Clinical biomarkers are essential for optimizing CAR T-cell therapy in multiple myeloma (MM). Clinicians can anticipate patient responses by evaluating predictive biomarkers, particularly earlier during treatment, tailoring treatments to enhance efficacy and survival outcomes. Ferritin, a general inflammation marker, appears to be a promising predictor of clinical outcome in MM patients receiving therapy with CAR T-cells. Our goal was to evaluate this and other biomarkers in this patient population. Methods We retrospectively analyzed MM-patients treated with idecabtagene vicleucel (ide-cel) and ciltacabtagene autoleucel (cilta-cel) at Mayo Clinic Arizona between September/2019 and November/2023. We evaluated the demographic characteristics, pre-infusion bone marrow samples, adverse events, mortality, and clinical response after CAR T-cell therapy infusion, and clinical laboratory data were interpreted using reference limits established by Mayo Clinic laboratories. Statistical calculations using parametric tests were performed, and survival curves were estimated using the Kaplan-Meier analysis and compared statistically using the log-rank test and Pearson's correlation. Results Forty patients with MM received CAR T cells, and 23 and 17 patients received cilta-cel and Ide-cel, respectively. The median age was 64 years [IQR 40-80], and 62.5% were male. All patients received inpatient CAR T-cell infusions; the median vein-to-vein was 54 days (IQR: 39-109), and the median length of hospital stay was ten days (IQR: 7-25). Cytokine release syndrome (CRS) was observed in 90% of patients (3% grade ≥3), while immune effector cell-associated neurotoxicity syndrome (ICANS) was observed in 23% of patients (3% grade ≥3). At day 90, the overall response rate (ORR) was 87.5%, with 21 patients (52.5%) having a complete response (CR), 9 (22.5%) with a very good partial response (VGPR), 5 (12.5%) had a partial response (PR), 1 (2.5%) had stable disease (SD), and 4 (10%) had progressive disease (PD). 35 patients was evaluated for minimal residual assessment (MRD) using flow cytometry cut-off 10-5. Of the total population eligible (PR, VGPR, and CR) for MRD evaluation, 97% were MRD negative. The median progression-free survival (PFS) was 13.5 months on ide-cel and has not been reached on cilta-cel. The mortality rate was 23.5% Ide-cel vs 8.6% with cilta-cel. In terms of PFS, we did not find any association with age, disease risk, number of previous lines of therapy, time from last treatment to CAR T-cell infusion, absolute lymphocyte counts at leukapheresis, % of plasma cells in bone marrow pre-infusion, vein-to-vein time, use of tocilizumab, or steroids for CRS/ICANS management. However, univariate analyses showed that a ferritin level <337 mcg/L at baseline pre-CAR T-cell infusion strongly correlated independently with improved PFS (median non-reached) compared with patients with ferritin levels >337 mcg/L that had a PFS of 13.50 months HR 0.2 (95% CI 0.07 - 0.83); p=0.0245. In addition, ferritin levels <337 mcg/L pre-infusion correlated with improved overall survival (OS) (median non-reached) compared with 22.23 months in patients with higher ferritin levels HR 0.2 (95% CI 0.02 - 0.53), p=0.0069. Conclusions In conclusion, our analysis shows that ferritin levels pre-CAR T-cell infusion are independent predictive biomarkers of PFS and OS in MM-patients regardless of the CAR T-cell product received. Our cohort of MM-patients treated with the two FDA-approved CAR T-cell products showed the expected PFS, OS, and adverse events. Moreover, our results showed no significant association between clinical response and age, risk stratification, number of previous therapy lines, or other evaluated factors with disease progression. Future prospective studies will help to validate these findings and explore the mechanisms associated with high ferritin levels and their potential implications in the heightened immune-activation state in patients that express high ferritin levels and their correlation with CAR T-cell efficacy.

Background: Chronic lymphocytic leukemia (CLL) is one of the most common leukemias in the United States (US), with an estimated incidence of 20,700 cases in 2024. Population-based studies conducted in Olmsted County (OC), Minnesota, reported an increase in CLL incidence over a 55-year period (1935 through 1989), which was attributed to increased detection of early-stage cases in individuals over age 50. In an updated study from 2000 to 2010 in OC, we reported no further increase in the incidence of CLL using the 2008 International Workshop on CLL (IWCLL 2008) guidelines. Additionally, when we compared the 1996 National Cancer Institute Working Group (NCI-WG 96) criteria with the IWCLL 2008 guidelines incorporating the monoclonal B-cell lymphocytosis designation, we found that the use of the IWCLL 2008 guidelines reduced the overt CLL incidence, modified the distribution of Rai Stages at diagnosis, and shortened the median time to first treatment (TTFT). Over the last two decades, 5-year survival for CLL has increased due to new therapies and improved supportive care. Herein we provide updated data on the incidence, prevalence, and natural progression of CLL in OC and studied similar features in an expanded 6-county region around Mayo Clinic, Rochester. Methods: We utilized the Rochester Epidemiology Project (REP), a population-based medical records linkage system, to identify CLL cases from 2000 to 2020 using International Classification of Diseases codes. We included individuals residing in OC and the expanded 7-county region (REP-7, including OC), for which data became available starting in 2010. CLL cases were included if they met the IWCLL 2008 criteria. All CLL diagnoses were confirmed by manual review of medical records and data on CLL-related factors were collected, including treatment status, prior history of other cancers, and overall survival (OS). Age- and sex-specific incidence rates were derived from REP census data and adjusted to the 2020 US white population. OS analyses were conducted using the Kaplan-Meier method. TTFT was calculated with death as a competing risk. Cox regression was used to evaluate the effect of decade on TTFT and OS among patients in OC. Results: From 2010-2020, 242 patients were diagnosed with CLL in REP-7, and between 2000-2020, 174 patients were diagnosed in OC. Among the 242 CLL patients in REP-7, the median age at diagnosis was 71 years (range 30-96),158 (65%) were male, 236 (99%) were white, and 74 (31%) had a history of other cancer, with non-melanoma skin cancer being the most common. After age and sex adjustment to the 2020 US white population, the CLL incidence in REP-7 and OC from 2010 to 2020 was 7.8 and 8.1 per 100,000 individuals, respectively. In OC, the age- and sex-adjusted CLL incidence from 2000 to 2020 was 7.5 per 100,000 individuals, showing no significant trend changes over time. Among the 242 patients diagnosed with CLL in REP-7 between 2010 and 2020, 102 received treatment with a median TTFT of 9.8 years. In OC from 2000 to 2020, 79 out of 174 patients received treatment with a median TTFT of 9.4 years. When comparing across two decades in OC, the median TTFT was 12.8 years for the period from 2000 to 2009, decreasing to 5.9 years between 2010 and 2020, but was not significantly different after accounting for age and sex. The median OS for patients diagnosed with CLL in REP-7 from 2010 to 2020 was 11 years. The median OS for patients in OC between 2000 to 2020 was 12.6 years. When comparing across decades in OC, the median OS was 8.9 years for the period from 2000 to 2009, increasing to 13.6 years for those diagnosed between 2010 and 2020, but this trend was not significantly different after accounting for age and sex. Prevalence data for REP-7 and OC were analyzed as of 01/01/2020. Additionally, prevalence data for OC were available for 01/01/2010. In REP-7, the prevalence of CLL was 97 per 100,000 individuals on 01/01/2020. In OC, the CLL prevalence was 86 per 100,000 individuals on 01/01/2010, and 100 per 100,000 individuals on 01/01/2020. Conclusions: We observed no substantial increase in the incidence rates of CLL in REP-7 from 2010 to 2020, nor in the 20 years of available data from OC. However, the prevalence of CLL in OC increased by 16% from 2010 to 2020. Additionally, evidence indicated a longer OS among newly diagnosed CLL cases in OC compared to previous decades, suggesting a potential impact of improved therapeutic approaches on OS.

Introduction: Epcoritamab, a novel subcutaneously administered CD3xCD20 bispecific antibody (bsAb) being developed as a core therapy across several lymphoma subtypes, is currently approved for the treatment of adults with different types of R/R LBCL after ≥2 systemic therapies. The combination of epcoritamab with standard treatments has been shown to be safe and efficacious; epcoritamab in combination with gemcitabine and oxaliplatin (Epcor+GemOx) has provided deep and durable responses with favorable survival benefits in a transplant-ineligible R/R DLBCL study population, of which 99% was from the United States and Europe (EPCORE NHL-2; NCT04663347). The rituximab plus gemcitabine and oxaliplatin (R-GemOx) regimen has been a widely used treatment for patients with R/R DLBCL ineligible for transplant, albeit with suboptimal efficacy outcomes. In the absence of direct comparisons of these regimens, this study assessed the comparative efficacy of Epcor+GemOx vs R-GemOx in patients with R/R DLBCL ineligible for transplant. Methods: Individual patient-level data (IPD) from EPCORE NHL-2 arm 5 were compared to 2 sources of clinical practice data for patients with R/R DLBCL treated with R-GemOx: published data from Cazalles et al (2021) and IPD from the US-based COTA electronic health record database. The Cazalles study reports the results of a large retrospective analysis of patients with R/R DLBCL treated in 2 academic centers in France. The COTA database includes de-identified IPD with demographic and clinical information from numerous academic and community clinical sites in the US. For the comparison to Cazalles, logistic propensity score models were used to weight the Epcor+GemOx cohort to create match-adjusted distributions of baseline characteristics with the R-GemOx cohort in Cazalles. For the comparison to COTA, inverse probability of treatment weighting was employed to balance covariates between the Epcor+GemOx and R-GemOx cohorts. Analyses were restricted to chimeric antigen receptor T-cell therapy (CAR T)-naive patients from EPCORE NHL-2, as the comparator cohorts did not include patients treated with CAR T. Overall response rate (ORR), complete response (CR) rate, progression-free survival (PFS), and overall survival (OS) were compared for Epcor+GemOx vs R-GemOx. Results: A total of 74 patients treated with Epcor+GemOx (median follow-up: 13.2 months) were compared to 196 R-GemOx-treated patients from Cazalles et al (median follow-up: 22 months). After match-adjustment, Epcor+GemOx (ORR 86.8%) demonstrated significantly higher ORR, corresponding to a 48.5% advantage over R-GemOx (ORR 38.3%) with an odds ratio (OR) of 2.3 (95% CI 1.8-2.9; P<0.0001). Adjusted CR rate was also significantly higher with Epcor+GemOx vs R-GemOx (71.2% vs 32.7%; 38.6% difference; OR 2.2 [95% CI 1.6-3.0]; P<0.0001). Median PFS was significantly longer with Epcor+GemOx (26.7 months) vs R-GemOx (4.8 months; hazard ratio [HR] 0.38 [95% CI 0.22-0.67]; P<0.001). Median OS was not reached (NR) for Epcor+GemOx vs 10.0 months with R-GemOx (HR 0.54 [95% CI 0.29-1.0]; P=0.05), corresponding overall to a 62% reduction in the risk of a progression event and a 46% reduction in the risk of mortality with Epcor+GemOx vs R-GemOx. A total of 72 patients were treated with R-GemOx in COTA (median follow-up: 7.5 months) and compared to 74 Epcor+GemOx patients. After adjustment, ORR was significantly higher with Epcor+GemOx vs R-GemOx (88.5% vs 35.6%; OR 2.5 [95% CI 1.8-3.4]; P<0.0001). Adjusted CR rate was also significantly higher with Epcor+GemOx (63.9% vs 10.2%; OR 6.3 [95% CI 3.1-12.7]; P<0.0001). Adjusted median PFS was significantly longer with Epcor+GemOx (11.2 months) vs R-GemOx (2.4 months; HR 0.23 [95% CI 0.15-0.36]; P<0.0001). Adjusted median OS was also significantly longer with Epcor+GemOx (21.6 vs 8.3 months; HR 0.47 [95% CI 0.30-0.74]; P=0.002), corresponding overall to a 77% reduction in the risk of a progression event and a 53% reduction in the risk of mortality with Epcor+GemOx vs R-GemOx. Conclusions: In this indirect treatment comparison analysis,Epcor+GemOx provided significantly superior efficacy benefits in terms of ORR, CR, PFS, and OS vs standard-of-care R-GemOx. While subject to the limitations of comparisons outside of controlled trials, findings indicate the compelling efficacy of Epcor+GemOx as a novel therapeutic option for transplant-ineligible patients with R/R DLBCL.

Background New therapies for myelofibrosis (MF) are being developed but how these compare with current therapies is limited to analyzing single outcome measures such as spleen volume reduction or quality-of-life (QoL). However, these outcome trajectories might diverge and some endpoints may not be clinically relevant. To remedy this an ELN (European LeukemiaNet) taskforce developed a composite endpoint using the Desirability-Of-Outcome-Ranking (DOOR) method which allows multiple outcomes to be simultaneously considered and therapies achieving diverging endpoints compared. Methods An Expert Panel used DOOR to divide outcome relevancy into 8 dimensions: clinical meaningfulness, modifiability, reliability, feasibility, decisional value, acceptability, frequency, and cost. Next, a weight was assigned to each dimension using the mean Likert score assigned by the panelists. Next, the panel validated which dimensions were met by each of 30 outcomes most frequently listed by clinical trials. A weighted score (WS) for each outcome was calculated based on weights assigned to a dimension and accomplishment rates assigned to outcomes. Outcomes were then distributed into quartiles. Next, operational definitions of outcomes were tested in Delphi consensus method requiring > 75% agreement. Last, a literature review indicated correlations of the outcomes ranked in the 1st 2 quartiles with survival. Results Three composite endpoints were developed and named DEMYOs (DEsirability-of-MYelofibrosis-Outcomes). DEMYO-1, the proportion of people alive and free of severe vascular events, blast transformation, severe anaemia and thrombocytopenia and very-severe symptom burden, encompassed outcomes in the 1st quartile (WS > 29.5) and is the proposed composite endpoint for trials of people with advanced JAK-inhibitor refractory MF. DEMYO-2, defined as the proportion of people alive and free of accelerated or blast phase, severe or worsening anaemia, severe and major vascular events, severe or symptomatic splenomegaly, severe or worsening symptoms and any emergent adverse genetic abnormality, included the outcomes ranked in the 1st 2 quartiles (WS > 26.5) and is proposed for trials of people with a sub-optimal response to JAK-inhibitors. DEMYO-3, defined as the proportion of people alive and free of blast transformation, vascular events, severe, symptomatic or worsening clinical features and of worsening prognostic co-variates, included outcomes in the 1st 3 quartiles (WS > 23.5) and is proposed for trials of people not yet receiving JAK-inhibitors. Interpretation DEMYO composite endpoints capture relevant clinical features of MF and represent endpoints important to patients, physicians and other stakeholders. DEMYO validation is feasible by available trial data and, once validated, the composite endpoints can be endorsed by medicines regulatory agencies. DOOR proved feasible and robust in this 1st-in-haematology application and we encourage further use. No funding

Background: SETBP1 gene, located on 18q12.3, is a major oncogene in myeloid neoplasms. GATA2 gene, located on 3q21, is one of the six GATA transcription factors regulating gene expression via two conserved zinc finger domains (ZF). Previous data suggested that in patients with germline GATA2 mutation (m), acquisition of a somatic SETBP1 mutation (m) was associated with leukemic transformation among patients with excess blast MDS and CMML. Aim: To study the characteristics of patients with somatic SETBP1-GATA2 mutated myeloid neoplasms. Methods: This study is a retrospective study at Mayo Clinic. After obtaining IRB approval, we retrospectively reviewed the charts of patients who had myeloid NGS panel results between 2016-2023. All data were recorded at time of first NGS. Cohort 1 was defined as patients with SETBP1m and GATA2m, cohort 2; patients with SETBP1m and GATA2wt, and cohort 3; patients with SETBP1wt and GATA2m. Germline work-up was not performed in the majority of GATA2 cases. We stratified risk based on the European LeukemiaNet 2022 guidelines for AML, IPSS-M for MDS and MDS/MPN, and CPSS-M for CMML. Overall survival (OS) was calculated from date of NGS to date of last follow-up based on Kaplan-Meier estimates and Cox regression analysis. For statistical analysis, we used BlueSky Statistics V10.3.1. Results: General characteristics: 114 patients had SETBP1m (median VAF= 39%), and 63 patients had GATA2m (median VAF= 35%). Nine patients had co-occurring SETBP1m/GATA2m mutations (cohort 1). 4/9 patients in cohort 1 had MDS/MPN (44.4%), while only 13/105 in cohort 2 (12.4%) had MDS/MPN (P=0.02). AML was seen in 2 patients in cohort 1 (22.2%) compared to18 in cohort 2 (17.1%) (p=0.6). The median WBC count was 22.9 x 109 cells/L among cohort 1 compared to 9 x 109 cells/L among cohort 2 cases (p=0.09). BM blasts were higher in cohort 3 (7%) compared to cohort 1 (5%) and cohort 2 (3%) (p=0.09), while peripheral blasts tended to be lower in cohort 2 (1%) in comparison to cohort 1 (6%) and cohort 3 (4%) (p=0.48). Genetic characteristics: In cohort 1,7 GATA2m clustered in zinc finger 2 (ZF2) (77.8%), while the other two mutations were outside the ZF domains (22.2%). This was higher than the ZF2 mutated cases in cohort 3 (46.3%, p=0.1). Abnormal cytogenetics were seen in 66.7% of cohort 1 patients and 45% of cohort 2 (p= 0.3). Two cases with trisomy 8 were seen among patients in cohort 1 (22.2%), compared to only 4.9% in cohort 2 (p=0.09). Two incidences of isochromosome 17q [i(17q)] were seen in cohort 1 (22.2%), versus 5 cases in cohort 2 (4.8%) and 1 case in cohort 3 (1.9%) (p= 0.068). Co-mutations: The median number of co-mutationswas 3 in both cohort 1 and cohort 2 (p= 0.6). In cohort 1, ASXL1 and SRSF2 mutations were the most common (7/9, 77.8%) followed by NRAS (22.2%) and TET2 (22.2%). 77.8% of cohort 1 patients had SRSF2 co-mutation, compared to 44.8% in cohort 2 (p=0.08), and 27.8% in cohort 3 (p= 0.006). No isolated SETBP1m/GATA2m cases were found. Survival: Patients in cohort 1 had a numerically higher median OS compared to those in cohort 2 (19.4 vs 15.4 months, p= 0.3). When comparing with the cohort 3, patients in cohort 1 tended to have better outcomes (median OS= 19.4 vs 13.8 months, p=0.8). Among cohort 1, SRSF2 co-mutation was associated with worse survival outcomes compared to patients with SRSF2wt (median OS= 5.3 vs 19.4 months, p= 0.02); this association was not found in cohort 2 (12.5 vs 18.4 months, p= 0.3) and cohort 3 (13.2 vs 17.1 months, p= 0.4). Allogeneic hematopoietic cell transplantation was associated with favorable survival outcomes in all cohorts (cohort 1: 22.6 vs 7.8 months, p= 0.1; cohort 2: 20.9 vs 12.5 months, p= 0.04; cohort 3: 25.6 vs 13.1 months, p= 0.03). Conclusion: SETBP1m/GATA2m myeloid neoplasms included a significantly higher proportion of MDS/MPN overlap cases in comparison with the SETBP1m/GATA2wt group. The SETBP1m/GATA2m group had a higher proportion of ZF2 GATA2m and SRSF2 co-mutation compared to patients with SETBP1wt/GATA2m. Survival of SETBP1m/GATA2m patients was not worse compared to SETBP1wt/GATA2m or SETBP1m/GATA2wt.

Background and Methods: IEC-HS is a hyperinflammatory state with high morbidity and mortality. Effective interventions to reverse the process early in the clinical course may be critical to improve outcomes. We previously examined cytokine differences between IEC-HS and other secondary hemophagocytic lymphohistiocytosis, and found significant differences in the patterns and outcomes.(1) This study examines cytokine profiles (CP) of patients treated with CAR-T from 9/2019 to 3/2024 who developed CRS, MAS-L and IEC-HS. Demographics and lab results were compared among the three groups and correlated with outcomes. Results: CP was tested in 113 of 366 CAR-T patients: 74 with CRS, 19 with MAS-L, and 20 with IEC-HS. The racial distribution was 93% White/Caucasian, 2% Black or African American, 1% Asian, 1% Native American and 3% other or unavailable. No differences were seen in demographics between groups except a higher percentage of patients with ECOG performance status ≥2 in IEC-HS (p=0.037). Incidence of IEC-HS by disease: 3.6% (7/193) in lymphoma, 5% (8/159) myeloma and 28.5% (4/14) B-acute lymphoblastic leukemia (p=0.0002). Incidence of IEC-HS by CAR-T product: 3% (4/150) in Axi-cel, 23% (6/26) in Brexu-cel, 8% (1/13) in Tisa-cel, 5% each (3/60) in Cilta-cel and Ide-cel, and 0/17 in Liso-cel (p=0.001). Prior to lymphodepletion, labs were already different among the CRS, MAS-L, and IEC-HS groups: hemoglobin (g/dL: 11.1, 9.6, 8.45); platelets (x109/L: 168, 116, 52.5); ferritin (µg/L: 115, 946, 1944). CP was started when patients needed a second dose of tocilizumab or concern for developing MAS-L/IEC-HS, and continued daily until clinical improvement or resolution of inflammatory state. Tocilizumab and dexamethasone use were similar across groups. Other therapies used were vasopressors (3%, 10.5%, 45%; p<0.0001), Methylprednisolone (20%, 31.6%, 50%; p=0.027), Anakinra (12%, 63%, 85%; p<0.0001), Siltuximab (9.5%, 16%, 30%; p=0.06), Basiliximab (30% of IEC-HS), and continuous veno-venous hemofiltration (30% of IEC-HS). Among the first CP, the CRS group had lower levels of cytokines (in pg/mL) compared to MAS-L and IEC-HS groups: TNF (31, 62.9, 47.7), IL-10 (29.3, 97.7, 169), IL-18 (794, 1353, 2011), IFN-gamma (74, 281, 250), MCP-1 (689, 2722, 2485.5), MIP-1 alpha (220, 234, 247.5), IL-6 (>315: 45%, 79%, 70%), soluble IL-2R alpha (>4000: 45%, 84%, 70%). The percentage of patients who received anakinra before CP1 were 4% (CRS), 21% (MAS-L) and 25% (IEC-HS) (p=0.007). IL-1 beta was below threshold among all patients who received anakinra in CRS and MAS-L and 75% in IEC-HS, suggesting rapid and effective IL-1 suppression by anakinra except in IEC-HS. Cytokines trends 24 hours and 48 hours after the first CP differed between MAS-L and IEC-HS. MAS-L had decreased TNF (62.9, 40.4, 18.5) and MCP-1 (2722, 355, 104) while these cytokines remained elevated or increased in IEC-HS (TNF: 47.7, 105.5, 62.6; MCP-1: 2486, 2276, 1585). IL-18 was minimally elevated in MAS-L (1353, 1955, 3068) and significantly increased in IEC-HS (2011, 2420, 4048). Notably, CP2 and CP3 levels of these cytokines in IEC-HS were statistically significantly higher than corresponding CPs among CRS and MAS-L. In addition, patients who died with persistent E. faecium bacteremia had higher IL-18 on CP3. Infections occurred in 43%, 58%, and 85% respectively (p=0.002), including E. faecium bacteremia (3%, 5%, 35%; p=0.0004), CMV viremia (30% of IEC-HS patients vs. 11% of non-IEC-HS; p=0.025), and invasive fungal infections (15% of IEC-HS patients; p=0.0001). Between the IEC-HS and non-IEC-HS groups, day 100 non-relapse mortality was 35% vs. 0 (p<0.0001), day 100 all-cause mortality was 45% vs. 3% (p<0.0001), and E. faecium bacteremia-related deaths were 50% vs. 1% (p<0.0001). Conclusions: CRS, MAS-L andIEC-HS are known complications of CAR-T. Cytokine-directed therapy can modify the cytokine milieu and control the inflammatory process. However, excess immunosuppression may result in life-threatening infections. Further studies are needed to identify optimal biomarker-guided immunosuppressive strategies to control the inflammatory cascade, while avoiding excess immunosuppression. References: 1. Leung, Nelson, et al. “Outcomes of patients who received CAR T cell therapy and developed IEC-HS treated with cytokine directed therapy.” (2024): 7516-7516.