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Background Conventional thrombosis risk stratification in polycythemia vera (PV) considers age > 60 years and thrombosis history for assignment to low (no risk factor) or high (at least 1 risk factor) risk category (J Clin Oncol.2011;29(6):761-70). The current study exclusively focused on low-risk PV with the following objectives: i) estimate the incidence of arterial and venous thrombosis; ii) examine the prognostic relevance of clinical and genetic risk factors for thrombosis; and iii) assess the impact of treatment on thrombosis risk. Methods Patients were retrospectively recruited from the Mayo Clinic, USA, and University of Florence, Italy, PV databases. Diagnosis was according to the International Consensus Classification criteria (Blood 2022;140:1200). Only first major arterial (AT) and unprovoked venous thrombosis (VT) were considered. Conventional statistical methods were applied (JMP Pro 17.0.0, SAS Institute, Cary, NC, USA). Results Mayo Clinic cohort A total of 346 patients with low-risk PV were considered: median age 49 years; males 54%; median hemoglobin 17.7 g/dl; median leukocyte count 10.9 x 109/L; leukocyte count >11 x 109/L 49%; median platelet count 471 x 109/L; cardiovascular (CV) risk factors 47%; hypertension 29%; hyperlipidemia 20%; smoking history 12%; diabetes mellitus 5%. Most frequent mutations, other than JAK2, were ASXL1 (13%) and TET2 (13%). Median follow-up was 13.4 years (1-52) (4,636 patient-years) during which 25 (7%) AT and 20 (6%) VT were documented. The corresponding incidence rates were 5.4 and 4.3 per 1,000 patient-years. In multivariable logistic regression analysis, baseline hemoglobin >17.5 g/dl in women or >20 g/dl in men (15% vs 4%; OR 5.1; p<0.01) and absence of leukocytosis >11 x 109/L (10% vs 4%; OR 2.9; p=0.02) were associated with increased risk of AT; in addition, diabetes mellitus (19% vs 7%; OR 3.9; p=0.06), showed borderline significance; overall incidence of AT was 20% in the presence of ≥2 risk factors (n=61), 7% in the presence of one risk factor (n=177), and 1% in the absence of all three risk factors (n=108; p<0.01). Multivariable analysis for arterial thrombosis-free survival (TFS) confirmed the predictive performance of these risk factors: hemoglobin thresholds (HR 4.4; p<0.01); absence of leukocytosis >11 x 109/L (HR 2.7; p=0.03); and diabetes (HR 2.8; p=0.09); 20-year cumulative incidence of AT was 32% in the presence of ≥2 risk factors and 7% otherwise (p<0.01). In multivariable analysis, smoking history was found to be surprisingly protective against VT (0% vs. 7%; p=0.02) while female gender was associated with a borderline higher risk (8% vs 4%; OR 2.2; p=0.09); VT incidence rates were 9% in the presence of both risk factors (n=144), 4% with one risk factor (n=172), and 0% in the absence of both risk factors (n=40; p=0.02); 20-year cumulative incidence of VT was 10% in the presence of both risk factors and 3% otherwise (p=0.03). ASXL1 and TET2 mutations did not appear to modify the risk of either VT (p=0.59) or AT (p=0.66). Treatment at diagnosis included aspirin and cytoreductive therapy in 63% and 24% of patients, respectively. Aspirin but not cytoreductive therapy was associated with a lower incidence of AT (5% vs 11%; 2.3 vs 3.0 per 1,000 patient-years; p=0.04) and VT (4% vs 10%; 1.9 vs 2.8 per 1,000 patient-years; p=0.03). Thrombosis-free survival was not influenced by documented treatment at diagnosis or at the time of event (p>0.1). University of Florence cohort A total of 284 low-risk PV patients were followed for a median of 9.1 years (1-38) with 19 (7%) AT and 24 (8%) VT events recorded; the corresponding incidence rates were 7.4 and 9.3 per 1,000 patient-years. In this Florence cohort, risk factors for AT were diabetes mellitus (HR 3.9), hyperlipidemia (HR 3.8) and advanced age, with only age remaining significant during multivariable analysis (p=0.03). Predictors of VT included hyperlipidemia (HR 4.2) and hypertension (HR 2.1). Treatment with aspirin or cytoreductive therapy did not impact thrombosis-free survival (p>0.1). Conclusion The current study confirms the infrequent occurrence of AT and VT in low-risk PV but also exposes the challenges in identifying risk factors that are reproducible in different but otherwise well-characterized patient cohorts. Discrepancies were also apparent in retrospective comparison of treatment effects on thrombosis, which reinforces the need for prospective studies.

Introduction: ASXL1-mutant Chronic Myelomonocytic Leukemia (CMML) is a high-risk myeloid neoplasm characterized by epigenetic remodeling and overexpression of leukemogenic driver genes. DLK1 (delta-like homolog 1) is a non-canonical Notch ligand, crucial for the proliferation of early hematopoietic progenitor cells and its expression is controlled by maternal imprinting. DLK1 expression is restricted to select progenitor populations, but was found to be overexpressed in several malignancies including ASXL1-mutant CMML. Here we investigate the molecular mechanisms that drive the aberrant re-expression of DLK1 and postulate potential targeted therapeutic interventions. Methods: We performed bulk RNA- and ChIP-seq (H3K4me1/3, H3K27ac/me3, H2AK119ub, H2BK20ac) on bone marrow mononuclear cells from 20 patients with CMML (11 ASXL1-mutant, 9 -wildtype). All libraries were sequenced on an Illumina NovaSeq instrument. Differential gene expression and histone modification occupancy between ASXL1-mutant and -wildtype patients were assessed. Single-cell RNA-seq was performed for a subset of patients to investigate the cell populations of interest for DLK1 expression. To assess DLK1 allelic expression, we identified a single nucleotide polymorphism (SNP) in the coding region of DLK1 (rs1802710) and used cases which were confirmed heterozygous by Sanger sequencing. DLK1 transcript levels were quantified by RT-PCR, and the relative abundance of alleles was measured using digital droplet PCR. We designed primers to amplify the region around our SNP of interest and utilized high mismatch discrimination locked nucleic acid (LNA) probes labeled with FAM (reference SNP allele) and HEX (alternate SNP allele) to quantify specific alleles. The number of RNA molecules originating from each allele was quantified by counting the number of droplets that fluoresced with the corresponding probe colors. Illumina 850K EPIC microarrays were used to evaluate DNA methylation. Drug studies were carried out in progenitor colony forming assays derived from ASXL1-mutant patients (bone marrow mononuclear cells) with the dual BRD4 and p300 / CBP inhibitor EP31670 (62 nM, 24-hour exposure), quantifying DLK1 expression by real-time RT-PCR. Results: This study included 20 patients with CMML (median age at diagnosis 74 years). All ASXL1 mutations were typical hotspot mutations (most commonly Gly646Trpfs*12) and the variant allele frequencies were compatible with heterozygosity (median 0.41). The spectrum of co-mutations was typical and included TET2 (23%), SRSF2 (16%), CBL (7%), among others. DLK1 was strongly overexpressed in ASXL1-mutant patients (log2 fold-change +4.0, FDR < 0.001). Allele-specific gene expression studies (n = 3) revealed the re-expression of the imprinted maternal DLK1 allele in ASXL1-mutant patients. Single-cell gene expression studies (n = 5) demonstrated that the DLK1 overexpression is restricted to the hematopoietic progenitor cell population. Differential methylation analysis between patients with ASXL1-mutant clonal hematopoiesis (n = 4) and matched controls (n = 8) identified two hypermethylated CpG islands in the DLK1 promoter region (cg18122767, Δß = +8.6%, p = 0.021 and cg15831296, Δß = +5.8%, p = 0.008). Histone modification analysis identified DLK1 as a p300 target gene by mapping H2BK20ac onto established ASXL1-mutant-specific enhancer regions (H3K4me1 + H3K27ac co-occupancy). The distal enhancer EH38D2760182 was predicted to bind p300 and to govern the expression of DLK1. ChIP-seq experiment in K-562 and Kasumi-1 cells showed the binding of BRD4 and p300 to EH38D2760182, respectively. Targeting BRD4 and p300 using EP31670 led to the downregulation of DLK1 expression (mean fold-change = 0.569, p < 0.001, n = 3) in progenitor colony forming assays. Conclusions: We observed the aberrant re-expression of the maternally imprinted DLK1 allele in patients with ASXL1-mutant CMML. Both DLK1 promoter hypermethylation and the genotype-specific activation of enhancers by p300 were identified as putative regulatory mechanisms. The distal enhancer EH38D2760182 was found to bind BRD4 and p300 and the pharmacologic disruption of BRD4 / p300 activity in model systems led to the downregulation of DLK1. The clinical-grade dual inhibitor of BRD and CBP / p300 EP31670 is currently being investigated in patients with ASXL1-mutant chronic myeloid neoplasms (NCT05488548).

Background: In the ZUMA2 study, a higher peak chimeric antigen receptor (CAR) T cell expansion correlated with better outcomes in patients with relapsed/refractory (R/R) mantle cell lymphoma (MCL) receiving brexucabtagene autoleucel (brexu-cel). However, in clinical practice, peak CAR T cell expansion is not routinely assessed for. Since patients receive lymphodepleting agents prior to CAR T cell infusion, it is hypothesized that peak absolute lymphocyte count (ALC), which can be easily measured, in the first two weeks after CAR T cell infusion represents peak CAR T cell expansion. Our group previously showed that peak ALC was associated with response durability and outcomes in patients with R/R large B-cell lymphoma receiving axicabtagene ciloleucel. In this retrospective study, we assessed the association of peak ALC with clinical outcomes after brexu-cel infusion in patients with R/R MCL. Methods: Patients with R/R MCL who received brexu-cel between March 2020-March 2024 at Mayo Clinic were included in this analysis. Peak ALC was defined as maximum ALC value in the first 14 days after CAR T cell infusion. Progression-free survival (PFS) was defined as time from CAR T cell infusion to lymphoma relapse, progression, or death, and overall survival (OS) was defined as time from to CAR T cell infusion to death. The optimal cutoff point for peak ALC that correlated with PFS was determined by the log-rank method using the Cutoff Finder application, a computational method which fits Cox proportional hazard models to the dichotomized variable and survival. The optimal cutoff was the point with the most significant PFS split by log-rank test. Results: A total of 43 patients were identified. The median age at time of CAR T cell infusion was 68 years (IQR 58, 73). 34 (79%) were male, 28 (74%) had Ki-67 >30%, 14 (33%) had blastoid or pleomorphic histology, and 19 (44%) had TP53 mutation or deletion. Median number of prior lines of therapy was 3 (IQR 2, 4) and 13 (30%) received prior autologous stem cell transplant. 32 (74%) received bridging therapy prior to CAR T cell infusion. All patients received fludarabine plus cyclophosphamide for lymphodepletion. The best overall response rate was 88%, with a complete response rate of 84%. After a median follow-up of 25.6 months (95% CI 14.4-31.4), the median PFS and OS were 16.6 (95% CI 8.6-NE) and 35.1 (95% CI 24.5-NE) months, respectively. The incidence of cytokine release syndrome (CRS) was 95% (4.7% grade ≥3). The median time to initial CRS and maximum grade CRS onset was 4.5 days (IQR 1, 6.25) and 5.5 days (IQR 2.75, 7), respectively. The incidence of immune effector cell-associated neurotoxicity syndrome (ICANS) was 65% (18% grade ≥ 3). The median time to initial and maximum grade ICANS onset was 9 days (IQR 6, 11) and 10.5 days (IQR 7, 12), respectively. The median ALC at time of CAR T cell infusion was 0.03 x109/L (IQR 0.02, 0.05). Among 37 patients with identifiable ALC peaks, the median ALC peak was 0.84 (IQR 0.41, 2.45) and the median time to peak ALC was 12 days (IQR 9, 12). 6 patients had no identifiable peak ALC due to no frequent CBC differentials post CAR T cell infusion. A peak ALC of ≥0.45 × 109/L correlated significantly with PFS, with median PFS not reached for the group with peak ALC of ≥0.45 × 109/L (n=27) compared to 9.3 months for the group with peak ALC of <0.45 × 109/L (n=10) and a 1-year PFS rate of 68% vs 33% (p=0.02). OS was also significantly higher in patients with a peak ALC of ≥0.45 × 109/L (median OS not reached vs 11 months, 1-year OS rate of 84% vs 44%, p=0.01). The incidence of ICANS was significantly higher (74% vs 30%, p=0.02) in patients with a peak ALC of ≥0.45 × 109/L. Numerically, the group with peak ALC of ≥0.45 × 109/L had a later onset of initial and maximum grade ICANS, but the difference was not statistically significant. Peak ALC was not associated with ICANS severity. There was a trend towards higher incidence of CRS (100% vs 80%, p=0.07) and earlier CRS onset (3 vs 5 days, p=0.07) in the high peak ALC group. There was no difference in CRS severity. Conclusion: Peak ALC after CAR T cell infusion was significantly associated with better PFS and OS and higher incidence of ICANS in patients with R/R MCL receiving brexu-cel. Peak ALC may serve as a surrogate measure for peak CAR T cell expansion in routine practice, but confirmatory studies are needed. Larger studies are warranted to confirm the association of peak ALC with PFS, OS and toxicities in patients with R/R MCL receiving brexu-cel.

Background: Approximately20% of patients with follicular lymphoma (FL) will experience disease progression or death within two years of years (POD24) of immunochemotherapy (IC) (Casulo et al, JCO 2015). A proportion of patients with POD24 have histologic transformation (HT), which heightens the risk of lymphoma-related death (Freeman et al, Blood 2019). To clarify the impact of HT on prognosis in POD24, we analyzed data from the Lymphoma Epidemiology of Outcomes (LEO) Consortium of Real-World Evidence (CReWE) to compare differences in outcomes among patients with POD24 with retained FL histology versus POD24 with HT. Methods: This was a multicenter study among 8 academic cancer centers. Eligible patients hadgrade 1-3a FL at diagnosis between 2003 and 2022, with POD24 following first line IC treatment with BR, R-CHOP, or R-CVP. POD24 was defined as disease recurrence within 24 months of IC. Patients with prior lines of treatment for FL were excluded. Patients with HT at first line IC were excluded. Biopsy at POD24 was obtained at the discretion of the treating physician. Three groups of POD24 were defined: POD24 with biopsy-proven retained FL histology (POD24_FL), POD24 with biopsy-proven HT to aggressive lymphoma (POD24_HT), and POD24 either without a biopsy or indeterminate histology on biopsy (POD24_I). We evaluated second-line treatments at time of POD24. Survival probabilities from second-line treatment initiation were estimated by the Kaplan-Meier method. Results A total of1,122 patients with FL were screened and308 patients with POD24 were identified.Median age at POD24 was 58 years (IQR 50-65).Among available data, race and ethnicity was reported as 76% non-Hispanic White, 3% non-Hispanic Black/African American, 9% Hispanic/Latino (any race), and 1% other minorities. First line therapy was R-CHOP in45% (140/308), BR in 33% (102/308) and R-CVP in 21% (66/308). Most patients (52%) had biopsy-proven retained FL at POD24 (162/308); 30% had no biopsy or indeterminate histology at POD24 (94/308), and 17% had biopsy-proven HT at POD24 (52/308). In the POD24_HT group, 52% received R-CHOP and 21% received intensive salvage chemotherapy as second line therapy. Patients with POD24_FL and POD24_I had similar rates of salvage chemotherapy (21% and 18%), BR (13% and 18%), R-CHOP (19% and 24%), and targeted therapies (8% and 5%), respectively, at second line. Consolidative autologous stem cell transplant was more common in POD24_HT patients at 21% versus 16% in POD24_FL and 6% in POD24_I. Patients with POD24_HT had significantly worse overall survival (OS) compared to POD24_FL (ref), with a hazard ratio of 3.79 (95% confidence interval [CI] 2.46-5.84), even after adjusting for age, FLIPI score, and first-line IC treatment. At 5 years, patients with POD24_HT had OS of 31% compared with an OS of 71% for patients with POD24_FL. Patients with POD24_I had similar outcomes to those with POD24_FL (5-year OS 75% versus 71%, respectively). Event-free survival (EFS) was also significantly lower in POD24_HT compared to POD24_FL: At 2 years, EFS was 27% for POD24_FL (21-35%) and 10% for POD24 _HT (4-23%). At 5 years, lymphoma remained the leading cause of death among patients with POD24, with 20% probability of lymphoma-related death in those with POD24_FL (95% CI 14.2-27.8) compared to 53% probability of lymphoma-related death in patients with POD24_HT (95% CI 40.6-70.7). Conclusions: In our multicenter cohort, we identified remarkable differences between the two biopsy-demonstrated entities of POD24 (i.e., with and without HT). Patients without a biopsy or indeterminate histology had similar outcomes as those with POD24_FL. Patients withearlyrelapse of FL after first-line IC remain a heterogeneous group with poor outcomes and a heightened risk of lymphoma-related mortality particularly compared with nonPOD24 groups. Even with retained FL histology, patients with POD24 had 20% probability of lymphoma-related death within 5 years of second-line treatment initiation. We demonstrate that poor survival is driven in part, but not entirely, by HT. Despite most patients receiving appropriate aggressive treatment, those with POD24_HT represent a distinctly vulnerable population warranting further study in directed prospective studies of both FL biology and clinical trials.

Introduction: In myeloma, accurate risk stratification remains a challenge due to substantial biological heterogeneity and highly variable survival outcomes. Cross-sectional imaging is commonly obtained at the time of diagnosis, but imaging findings are not currently incorporated into risk stratification efforts in a standardized manner, despite their prognostic significance. Here, we investigate the use of novel image-based prognostic biomarkers obtained by automated image segmentation and radiomics feature extraction using machine learning methods. Methods: We obtained the pre-treatment 18F-FDG PET/CT scans of 443 patients with newly diagnosed myeloma and complete demographic and cytogenetic data (seen at Mayo Clinic between 2005 and 2019). The native DICOM images were pre-processed and subjected to automated image segmentation using nnU-Net (v1.0, inference using a pre-trained hematologic malignancies model). Limitations of this automated segmentation approach include heterogeneity introduced by varying image quality, technical differences related to PET reconstruction, and potential inclusion of non-neoplastic FDG-avid lesions in segmented regions. The quality of the automated image segmentation was evaluated by comparing the radiomics features obtained from ground-truth segmentation (manual lesion segmentation) and model segmentation in a separate cohort of patients with hematologic malignancies (n=72). We selected 42 radiomics features that moderately (r≥0.30, p<0.005, n=23) or strongly (r≥0.50, p<0.001, n=19) correlated between ground-truth (manual) and model (automated) segmentation for further evaluation in myeloma patients. PyRadiomics was used to extract discrete radiomics features for clinical prediction modeling. We evaluated the prognostic significance of tumor size-, shape-, and texture-related radiomics features and compared their predictive power to established prognostic factors (International Staging System [ISS], Revised ISS [R-ISS] stage and high-risk FISH cytogenetics). The outcome of interest was overall survival and the predictive power of competing proportional hazards regression models was assessed using Harrell's C-statistic. For modeling purposes, patients without measurable tumor volume were categorized as having undetectable radiomics features (0 for all features). All radiomics features were median dichotomized for downstream modeling. Forward feature selection and testing for multicollinearity were used to remove redundant features. Select radiomics features were divided into quintiles to generate an additive radiomics risk score and associated risk strata. Results: Median age at diagnosis of the 443 myeloma patients was 63 years (32-91) and 270 patients (62%) were men. After a median follow-up of 2.4 years (95% CI 0.1-7.4), median overall survival was 6.5 years (95% CI 5.5-NR). Most patients had detectable metabolic tumor volume (n=309, 70%) on their pre-treatment 18F-FDG PET/CT scan. Several of the 42 radiomics features were intercorrelated and two features were selected for further investigation based on their independent prognostic significance (forward feature selection). Higher maximum axial tumor diameter (HR 1.90, 95% CI 1.31-2.76, p=0.001) and a lower concentration of low gray-level values in the tumor (HR 1.73, 95% CI 1.20-2.49, p=0.004) were independently associated with overall survival in newly diagnosed myeloma. These associations were independent of age at diagnosis, sex, and R-ISS stage. We devised a simple additive risk score representing the sum of quintiles of the two radiomics features and divided the patients into three risk categories akin to the R-ISS. The predictive power of this radiomics risk score (Harrell's C=0.60) was comparable to the ISS (C=0.59) and the R-ISS (C=0.57). Conclusions: Automated image segmentation and radiomics feature extraction from 18F-FDG PET/CT scans is feasible. This approach yields image-based biomarkers that correlate with results obtained by manual imaging segmentation. Several radiomics features such as tumor size and heterogeneity have independent prognostic significance in newly diagnosed myeloma. These novel biomarkers rival the predictive power of the currently established risk stratification methods and may be used to improve risk stratification in myeloma.

Introduction: Measurable residual disease (MRD) is a well-validated prognostic marker and interim outcomes measure in patients with multiple myeloma (MM). Despite its broad acceptance as a robust prognostic marker, the MRD status is only available down the treatment line, and there is limited information on the markers at diagnosis that can predict achievement of MRD negativity post-transplant. This study explored the relationship between baseline risk factors and post-autologous stem cell transplantation (post-ASCT) MRD status, as well as the combined impact of these baseline factors and post-ASCT MRD status on progression-free survival (PFS) and overall survival (OS). Patients and Methods: We conducted a retrospective, single-center study of patients achieving at least VGPR after ASCT between 01/01/2016 and 12/30/2023, majority (n=814, 98%) received ASCT in the frontline setting. MRD testing was performed between days 60-100 post-transplant using next-generation flow cytometry with a sensitivity of at least 1x10^5 nucleated cells (minimum 2x10^6 cells assessed). Treatment response and disease progression were determined by IMWG criteria. High-risk disease (HRD) was defined as presence of International Staging System ISS stage 3, high lactate dehydrogenase, 1q gain, 17p deletion, or t(4;14) chromosomal abnormalities. We calculated PFS/OS from transplant day 0 to first documented event (progression or death). Categorical variables were compared using chi-square and Fisher's exact tests. Non-parametric tests compared continuous variables, and logistic regression analyses tested associations between clinical/lab variables and MRD status post-ASCT. Time-to-event analyses were performed using Kaplan-Meier and compared using log-rank test. Multivariable analyses were conducted using the Cox regression model. Result: The study cohort included 831 newly diagnosed MM patients. The median follow-up for the cohort was 50 months (95% CI: 48-51). 48% (n=402) achieved MRD negativity (MRD-neg) post-ASCT. Univariate analysis demonstrated that R2-ISS stage, depth of response pre-ASCT, and presence of t(11;14) to be associated with worse MRD-negativity rates. Multivariate analysis revealed that t(11;14) significantly decreased the odds of MRD-negativity (p<0.0001, OR=0.4, 95% CI: 0.3-0.6) and a deeper pre-ASCT response was associated with increase odd of MRD-negativity OR-4.7 (95%CI 3.2-7.4) p<0.0001. Patients with MRD-positive disease post-transplant had an inferior estimated median PFS of 57.6 months (95% CI: 49-69) with a 5-year PFS of 49% (95% CI: 43-56), compared to an estimated median PFS of 83.3 months (95% CI: NA) and a 5-year PFS of 66% in MRD-negative patients (p<0.0001, HR=1.9, 95% CI: 1.5-2.5). Similarly, MRD positivity was associated with an inferior OS [estimated median of 92.6 months (95% CI NA) ,5-year OS 76% (95%CI 72-82) for MRD-pos vs. Median OS NR, 5-year OS 85%(95%CI NA) in MRD-neg; p=0.003, HR=1.69, 95% CI: 1.2-2.38)]. In MRD-neg patients, a baseline bone marrow plasma cells BMPC% >60% was significantly associated with worse PFS (HR=1.9, 95% CI: 1.26-2.99; p<0.01). High-risk disease was not associated with an inferior PFS or OS in patients with MRD-negativity. For MRD-neg patients, estimated median PFS was not reached for those without HRD, 5-year PFS was 66% (95%CI 51-85), compared to 83 months(95%CI 65-NA) for those with HRD, 5-year PFS was 65%(95%CI57-74), p=0.6441. The median OS was not reached in either group (p=0.07). Five-year OS was 94% (95%CI 86-100) in MRD-neg without HRD vs. 81%(95%CI 75-87) with HRD (p=0.07). In MRD-pos patients, median PFS was 81 months (95%CI 58-NA) for those without HRD, 5-year PFS of 59% (95%CI 46-77), compared to PFS of 41 months(95%CI 36-52) for those with HRD ,5-year PFS of 39% (95%CI 31.3-47) , p=0.003. Median OS was not reached in MRD-pos patients without HRD, but it was 59.8 months ( for those with HRD (p=0.0012). Five-year OS was 94% (95%CI 89-99) in MRD-pos without HRD vs. 67%(95%CI 60-74) with HRD (p<0.0001). For every 1 log increase in the residual cell % on MRD testing in MRD-pos patients, the hazard ratio for PFS increased by 42% (p=0.0002, HR=1.42, 95% CI: 1.2-1.7). Conclusion: Patients with t(11;14) have a reduced likelihood of achieving MRD negativity post-ASCT, whereas high-risk cytogenetics did not impact MRD-negativity rates. Achievement of MRD negativity post-ASCT mitigates the impact of high-risk characteristics.

Introduction: Overall outcomes have improved significantly for MM with a 5-year relative survival rate currently of >60%. With effective treatments, patients from all clinical strata and age groups are expected to have meaningful benefit, but despite excellent therapeutic advancements, some patients continue to have early mortality. We conducted this study to investigate factors associated with early mortality. Methods: The National Cancer Database (NCDB) was queried for adult patients with NDMM between 2004 and 2021. We excluded patients with multiple primary malignancies or lost to follow-up (unknown vital status or last contact). Early mortality was defined as death within 6 months from MM diagnosis. Patient demographics and socioeconomic factors available in NCDB were collected. Kaplan-Meier and multivariate Cox regression were used to evaluate the likelihood of early mortality in this large cohort of MM patients using multi-variate analysis. Results: Out of 255,579 eligible patients with MM, 35,302 (13.8%) died within the first 6 months of diagnosis and 108,534 (42.5%) died after the first 6 months of MM diagnosis. The early mortality cohort had significantly higher mean age at MM diagnosis (73.9 vs. 68.5 years, p<0.001) but no significant differences were noted for gender distribution. There was a statistically significant difference for racial/ethnic distribution (p=0.019), but the percentages were very similar among non-Hispanic White (69% vs 68.1%), non-Hispanic African American (18% vs 18.7%) and Hispanic patients (4.7% vs 4.8%). Patients in the early mortality cohort were less likely to be treated at academic institutions (28.4% vs 37.8%, p<0.001) and have significantly different distribution by insurance type (less likely to have private insurance; 17.3% vs. 30%, more likely to have Medicare; 72.1% vs. 58.7%, p<0.001) although overall insurance access was similar between the two groups (95.3% vs 95.2%, p=0.283). Early mortality was associated with higher morbidity scores as per the Charlson-Comorbidity Index (CCI) (p<0.001) and were more likely to have not received any treatment for MM (53.2% in early mortality group vs. 28.4% in late mortality, p<0.001). Early mortality was also associated with a lower literacy rate (high school graduation rate 21.2% vs. 19.7%, p<0.001) and lower household income (<$46,277; 19.1% vs. 17.7%, p<0.001). Conclusion: This large real-world analysis shows that despite therapeutic advances in recent years, there is a significant percentage of patients with NDMM in the U.S. who suffer from early mortality. There are several sociodemographic and economic factors that were found to be associated with early mortality, with some showing clear trends (older age, treatment facility type, insurance type, income, education, CCI), while others like racial differences were significant but somewhat ambiguous. Identifying and addressing these factors at diagnosis will help provide personalized care plans and minimize early mortality.

Background : Rituximab is a monoclonal antibody that targets CD20 and can significantly improve the prognosis of patients with CD20-positive B-cell non-Hodgkin lymphoma (B-NHL). Nonetheless, a significant number of patients experience disease progression or relapse post-rituximab therapy. CD19-chimeric antigen receptor (CAR) T cells have demonstrated remarkable efficacy in B-NHL treatment. However, few studies have focused on the efficacy and safety of CD20 CAR-T cells in rituximab-refractory/relapsed (R/R) B-NHL patients, particularly those treated with rituximab for a short time. Here, we conducted a prospective study, aimed to assess the long-term remission and survival in patients with rituximab-R/R B-NHL after treatment with U16 (CD20 CAR-T cells). Methods : This first-in-human study is an open-label, single center investigator-initiated trial (IIT) to determine the safety and efficacy of CD20 CAR-T in R/R B-NHL after previous rituximab treatment failure (no. ChiCTR2000036350). CD20 CAR-T was administered at a target dose of 1.0×107 CAR-T cells/kg after a 3-day conditioning chemotherapy with fludarabine and cyclophosphamide. The primary objective was to assess the safety and tolerability of CD20 CAR-T. Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) were graded according to ASTCT 2019 criteria. The secondary objectives were to evaluate efficacy and pharmacokinetics (PK). Response was assessed per Lugano 2014 criteria. Results:A total of 16 patients with R/R B-NHL were enrolled.The median age was 49 years (range, 28-66). Median number of prior lines of therapy was 3 (range, 2-5). All patients had received rituximab therapy; of these, 9 had done so within the 3 months before CAR-T infusion. CRS occurred in all patients, with 11 patients (68.75%) experiencing grade 1 or 2 CRS and 5 patients (31.25%) experiencing grade 3 CRS. No patient developed grade 4 CRS , and only one patient had ICANS.The most common grade 3 or higher adverse events observed after infusion included leukopenia (93.3%), anemia (40%) and thrombocytopenia (60%). An overall response rate of 100% was observed among enrolled patients, with 11 patients (68.75%) achieving complete remission(CR) and 5 patients (32.25%) achieving partial remission(PR) within 3 months. The median follow-up time was 11.7 months(range 0.69-47.47). The median overall survival was not reached, and the median progression-free survival was 14.5 months. 9 patients remained CR or PR for 12 months, with 7 of them continuing in CR for up to 24 months. The pharmacokinetics of CD20 CAR-T cells were assessed using quantitative PCR to determine the expansion and persistence ability. Peak CAR amplification were detected 7-14 days after infusin. Patients 1, 2 and 4 achieved long-term remission, and persistent positive CAR-T cell copy numbers were detected for 15 months, 30 months and 26 months, respectively. However, patients 7, 8 and 12 relapsed within 3 months, and the CAR-T cell copies of all three patients were reduced to fewer than 1×103 copies/μg of DNA within 3 months. The qPCR results indicated that the maintenance of efficacy was closely related to the persistence of CAR-T cells. Notably, patients who received rituximab less than 3 months before CAR-T infusion had a poorer prognosis, with higher relapse rates (77.8% vs. 28.6%) and shorter progression-free survival, regardless of the degree of response. Conclusion : Long-term follow-up demonstrated that CD20 CAR-T therapy can produce a deep and durable response with a favorable safety profile in patients with rituximab-refractory/relapsed B-NHL. Notably, patients who had received rituximab within 3 months had a poorer prognosis.

Background: While myeloproliferative neoplasms (MPN), including essential thrombocythemia (ET), polycythemia vera (PV), and primary myelofibrosis (MF), are usually sporadic, adult-onset neoplasms, an increasing number of germline risk alleles have been described (e.g. EGLN1, ETV6, SH2B3, and ATM) in these disorders. DDX41MT Germline Predisposition Syndrome (GPS) is the most common myeloid GPS in adults and while there is extensive data on MDS/AML, little is known regarding MPN occurring in this context. We carried out this study to define the prevalence and characteristics of DDX41MT-GPS associated MPN. Methods: After IRB approval, we retrospectively assessed the Mayo Clinic cohort of 174 patients with DDX41MT-GPS, which included both pathogenic and clinically relevant germline variants of undetermined significance (VUS), based on our previous analysis (Badar et al Haematologica 2023). Standard statistical measures were applied. Results: We identified 12 (6.9%) patients with MPN (ET-5, PV-2, PMF-4, MPN-NOS-1). The median age at MPN diagnosis was 61.2 years (range, 8.-70.4); 58.3% (n=7) were male, and 83.3% (n=10) were Caucasian. A family history of hematologic malignancy was present in 16.7% (n=2, AML and T-LGL), while 50% (n=6) had a family history of visceral malignancies and 41.7% (n=5) had no family history of malignancies. Among ET patients (n=5) with DDX41MT-GPS, JAK2V617F was the MPN driver in 4 (80%) while type 1-CALR (L367fs*46) was a driver in 1 (20%). This included a 9-year-old child diagnosed with JAK2V617FMT ET. The DDX41 variant was classified as pathogenic in 40% (n=2; E113Kfs*14, D140Gfs*2) and VUS in 60% (n=3; V544L, V591I, P38L). Bone marrow (BM) aspirates in the ET patients were hypercellular in 40% (n=2), normocellular in 40% (n=2) and hypocellular in 20% (n=1), and none had increased blasts, or reticulin fibrosis (RF). In addition to JAK2V617F, somatic mutations seen included SF3B1 (K666T, VAF 16%) in 1 patient and IDH2 (R140Q, VAF 6%) and DNMT3A (R882H, VAF 7%) in 1 patient, respectively. With a median follow-up from diagnosis of 3.9yrs (range 2.9-8.9), there were no thrombotic events and no disease progressions was documented. There were 2 patients with JAK2V167FMT PV in whom the DDX41MT were clinically significant VUS (c.138+5G>T and M155I). Both patients had hypercellular BM, with no increase in blasts, no RF, normal karyotypes and no additional somatic mutations. With a median follow up of 7.5yrs (range, 2.1-12.9), 1 patient developed a deep vein thrombosis (DVT) and there were no fibrotic or leukemic transformations. There were 4 patients with PMF; 3 (75%) with JAK2V617F and 1(25%) with a type 1-CALR driver mutation (L367fs*46). DIPPS-plus scores ranged from 1 to 4 (median 2.5). The DDX41 variants were pathogenic in 50% (n=2, E256K and P78Qfs*3) and VUS in 50% (n=2, P510S and M155I). The median grade of RF at PMF diagnosis was grade 2 (range, 2-3). BM were hypercellular in 75% (n=3) and hypocellular in 25% (n=1), and 1 patient had 3% peripheral blasts (and no BM blasts). Somatic co-mutations included TET2 in 1 patient with a JAK2V617F, and CBL, EZH2 and SRSF2 in 1 patient with a CALR driver-mutation, respectively. PMF patients were treated with ruxolitinib (n=3), stem cell transplant (n=1), and pIFNα (n=1). With a median follow up of 3.9yrs (range,1.1-21.9), all patients were alive, and none had leukemia transformation. There was 1 patient with a JAK2V617F MPN-NOS with trisomy 9, where the DDX41MT-GPS was a VUS (I215L). There were no somatic co-mutations and at last follow up (3.1 years), there was no evidence for progression. Conclusions: While associations between late onset MDS/AML and DDX41MT-GPS has been well established, we systematically describe the MPN landscape seen in this context. MPN was diagnosed in 7% of our cohort, with JAK2V617F being the most common driver mutation. Most importantly, unlike in AML/MDS, where somatic DDX41 mutations are frequently associated with neoplastic transformation (30-50%; R525H being most common), none of our MPN patients had a somatic DDX41 mutation. Our work underscores the importance of germline mutation testing in patients with MPN.

Multiple myeloma (MM) is an incurable cancer of plasma cells with nearly 70% of all new diagnoses occurring in adults aged ≥ 65 years. For older adults, medical comorbidities and functional deficits become increasingly more prevalent with increased age and can impact disease outcomes and survival. There are unmet medical needs in this vulnerable patient population who are not eligible for autologous stem cell transplantation to optimize the frontline therapy for better survival and less toxicity. This randomized phase 3 clinical trial is designed to focus on real world patient population to identify an optimal frontline three drug regimen in frail or a subset of intermediate fit newly diagnosed MM patients. Diagnostic criteria and response criteria will be based on IMWG guidelines. Participants must have a calculated myeloma frailty index (Myeloma Frailty Score Calculator (http://www.myelomafrailtyscorecalculator.net/) categorized as frail or intermediate fit (regardless of age) within 28 days prior to registration (NCT05561387). The two most commonly used induction/maintenance regimens in this patient population will be compared, including RVd-Lite (lenalidomide (R), bortezomib (V), and dexamethasone (dex) followed by R maintenance) and DRd (Daratumumab, lenalidomide, and dex followed by R or R-daratumumab maintenance). The study will include three cohorts: (1) RVd-Lite induction followed by Rev maintenance (2) DRd induction followed by Rev maintenance (3) DRd induction followed by D-R maintenance. Induction phases will be 9 cycles in total of 28 days each, followed by maintenance for cycle 10 and beyond in all cohorts until disease progression: V 1.3 mg/m2 on days 1, 8, 15, 22, R 15 mg days 1-21, dex 20 mg days 1, 8, 15, 22 for induction phase and R 10 mg days 1-21 for maintenance phase in cohort 1 (VRd-Lite); SubQ Dara 1800 mg (on days 1, 8, 15, 22 for C1-2, on days 1, 15 for C3-6, on day 1 for C7-9), R 15 mg day 1-21, dex 20 mg days 1, 8, 15, 22 for induction phase and R 10 mg days 1-21 for maintenance in cohort 2 (DRd-R); SubQ Dara 1800 mg (on days 1, 8, 15, 22 for C1-2, on days 1, 15 for C3-6, on day 1 for C7-9), R 15 mg day 1-21, dex 20 mg days 1, 8, 15, 22 for induction phase and Dara 1800mg on day 1 and R 10mg days 1-21 for maintenance in cohort 3 (DRd-DR). The dual primary objectives are (A) to compare progression free survival (PFS) between cohorts 1 (VRd-Lite) and 2 (DRd-R); (B) to compare overall survival (OS) between cohorts 1 (VRd-Lite) and 3 (DRd-DR). Quality of life objectives are to compare patient reported global health status between treatment arms at the end of induction therapy using the European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire. A total of 459 eligible patients will be enrolled in this randomized three cohort trial. It is hypothesized that Cohort 1 will have a median PFS of 2.667 years and a median OS of 5 years. With 153 eligible participants per cohort accrued over 5 years, and an additional follow-up period of 3 years, this trial has 80% power to detect an increase in the median PFS in Cohort 2 from 2.667 years to 4 years, and 83.4% power to detect an increase in the median OS in Cohort 3 from 5 years to 8.5 years, each with a one-sided type I error rate of 2%. This trial will be conducted among the NCI cooperative groups SWOG, ALLIANCE, and ECOG/ACRIN and incorporate substantial involvement from NCORP and VA member sites. This study is anticipated to provide practice changing data for this transplant-ineligible real world population to achieve deeper and longer remissions with less side effects and better quality of life.