Foran, James M.

Background: Clonal cytopenia of undetermined significance (CCUS), a precursor of myeloid neoplasms (MN), is characterized by one or more persistent cytopenias, and acquired mutations in myeloid malignancy-associated genes. ZRSR2, located at Xp22.2, is one of the MN-associated genes and a member of the spliceosome family of genes. Aim: Describe the clinical characteristics, pattern of progression, and genetics of ZRSR2 mutation (ZRSR2m)-harboring CCUS patients. Methods: Next-generation sequencing (NGS) was performed for 9320 patients between 2016-2023 at Mayo Clinic. After obtaining IRB approval, clinical characteristics and results of bone marrow morphology, cytogenetics, and molecular studies were abstracted. Overall Survival (OS) was calculated using Kaplan-Meier, from the date of NGS until death or last follow-up. The ZRSR2m MN control cohort included 125 patients with myelodysplastic syndrome (MDS), myeloproliferative neoplasm (MPN), and MDS/MPN overlap. BlueSky Statistics V10.3.1 was used for statistical analysis. Results: ZRSR2m was detected in 39 CCUS patients, all of whom were males. Concurrent hematological neoplasms were identified in 8 patients (21%). Five (13%) had plasma cell proliferative disorders including 3 multiple myeloma, 1 MGUS, and 1 AL amyloidosis. There were also 2 patients with chronic lymphocytic leukemia and 1 with VEXAS syndrome. Prior chemotherapy, with or without radiotherapy, was given to 4 patients (10.3%), whereas 13 patients (33%) had received previous immunotherapy. Abnormal cytogenetics were detected in 11 patients (29%), with the most common abnormality being +8 (n=5, 13%). In 23 patients (59%), an absolute monocyte count of ≥0.5 x 10^9/L was documented which could be classified as clonal cytopenia with monocytosis of unknown significance (CCMUS). ZRSR2 median gender-corrected VAF among CCUS patients was 32% (range, 1-45). Isolated ZRSR2m was found in 6 patients (15%), and 1 (3%) had multiple ZRSR2m. The median number of co-mutations was 1 (range, 0-3). Sequential NGS, available in 13 patients, showed that 1 patient developed 3 ZRSR2 mutations and 2 ZRSR2 VUS. TET2 was the most common co-mutation (n=25, 64%). Additionally, TET2 was an isolated co-mutation in 18 patients (46%). ASXL1 co-mutation was the second most common (n=8, 20.5%), while other less common co-mutations were IDH1, IDH2, SRSF2, SF3B1, TP53, GATA2, and KDM6A. Pre-ZF1 was the most commonly mutated region in ZRSR2 mutations (n=23, 59%). With a median follow-up of 32 months, 9 (23%) of the ZRSR2m CCUS patients progressed to MNs, none progressed to AML. Five (55.6%) progressed to MDS, 4 were subclassified as low blast (LB) and 1 as increased blast-1 (IB1). Four (44.4%) progressed to MDS/MPN overlap syndrome, with 3 subclassified as chronic myelomonocytic leukemia (CMML). None of the patients with isolated ZRSR2m progressed to MDS or CMML. None of the patients who received prior immunotherapy progressed to MDS. Thirty-six (92.3%) patients had high-risk CCUS (Malcovati et al, Blood 2017) while 3 had intermediate risk with no low-risk patients. None of the intermediate-risk patients progressed to MDS, while 5 patients of the high-risk (13.9%) progressed to MDS (p=1). Twelve (31%) patients died, and the median overall survival (mOS) was 56 months. Higher hemoglobin levels improved OS (HR=0.59, p=0.02), while higher adjusted ZRSR2 VAF worsened OS (HR=1.05, p=0.017). Patients with TET2 as isolated co-mutations showed better mOS than the rest of the cohort (not reached vs 41 months, p= 0.03). ZRSR2m CCUS patients showed a trend suggestive of better mOS than ZRSR2m with MNs including AML (56 vs 30 months, p=0.14), and with excluding AML (56 vs 39 months, p=0.24). On multivariate analysis, both Hgb (HR=0.61, p=0.03) and isolated TET2 co-mutation (HR=0.19, p=0.04) retained statistical significance. mOS was not affected by prior history of treatment, number of co-mutations, isolated ZRSR2, ASXL1 co-mutation, or MDS progression. Conclusion: ZRSR2m CCUS cohort was exclusively males. There was a significant number of patients with concurrent hematological malignancy or a history of prior chemo- and/or immuno-therapy (36%). Most patients had high-risk CCUS but showed a low rate of progression to MNs, especially in those with isolated ZRSR2. Additionally, patients with isolated TET2 co-mutation had better survival, indicating that TET2 confers a favorable prognosis among ZRSR2m CCUS patients.

Background Pacritinib (PAC) is a relatively selective JAK2 vs. JAK1 inhibitor (JAKi) and is one of four FDA-approved JAKi for use in myelofibrosis (MF). PAC is indicated for MF patients with thrombocytopenia (Platelets <50 x 109/L). In a previously published controlled study of MF patients with platelet count <100 x 109/L (PERSIST-2), including JAKi-naïve and ruxolitinib-experienced, PAC therapy at the recommended dose of 200 mg BID was associated with a ≥35% spleen volume reduction rate of 22%; response rate was lower in ruxolitinib-experienced patients for both 200 mg BID (9.3%) and 100 mg BID (1.8%) dosing (JAMA Oncol 2018;4:652); a more recent post-hoc analysis suggested an additional benefit in anemia with 25-37% of transfusion-dependent patients achieving a ≥12-week transfusion-free period (Blood Adv 2023;7:5835). Herein, we describe our experience with the drug outside of a clinical trial setting. Methods Study patients were retrospectively recruited from Mayo Clinic (USA) databases, after approval from IRB. Diagnostic criteria were according to the International Consensus Classification (Blood 2022;140:1200). Study inclusion criteria included documentation of PAC therapy outside of a clinical trial setting. Spleen response was adjudicated by the 2013 International Working Group-European LeukemiaNet (IWG-ELN) response criteria (Blood 2013;122:1395). Anemia response was rated by the revised 2024 IWG-ELN criteria (manuscript submitted; transfusion-free period x 12 weeks and/or 12-week average increase in hemoglobin ≥1.5 g/dL). Conventional statistical methods were employed. Results A total of 60 MF patients (median age 70 years; males 62%; primary MF 63%) received PAC upfront (N=19; 32%) or after failing treatment with another JAKi (N=41; 68%), including ruxolitinib (N=39; 65%): JAK2 60%, CALR 27%, MPL 10%. Reasons for discontinuation of previous JAKi treatment included drug intolerance (41%), relapse after initial response (33%), and suboptimal response (26%). Median interval between diagnosis and treatment with PAC was 4 years (range 0-22). At PAC treatment initiation, DIPSS-plus risk distribution was high in 48%, intermediate-2 47%, and intermediate-1 (5%). Transfusion-dependent anemia (TDA; ≥3 units during 12 weeks prior to enrollment) was present in 40% of patients, platelet count <50 x 109/L 25%, leukocyte count >11 x 109/L 40%, spleen size >15 cm 76%, constitutional symptoms 55%, complex/monosomal karyotype 27%, and mutations in SRSF2 11% or ASXL1 33%. PAC initial dose was 100 (N=41) or 200 (N=19) mg BID. Dose was increased in 44% of patients started at 100 mg BID and decreased in 55% of those started at 200 mg BID. Among 47 patients evaluable for anemia response, only one of 23 with non-TDA (2% overall and 4.3% at 200 mg BID dosing) and none of 24 with TDA responded. In evaluable patients, spleen response rate was 13% (95% CI 5.9-24.7) overall and higher in JAKi-naïve (29%; 95% CI 11.7-54.7) vs. JAKi-experienced (6%; 95% CI 1.6-19.1; p=0.04). Spleen response rate was higher in the absence of leukocytosis (21% vs. 0%; p=0.01) or complex/monosomal karyotype (17% vs. 0%; p=0.05) but similar between 100 and 200 mg BID initial dosing (p=0.9). At a median follow-up of 14 months (range 1-27), PAC was discontinued in 80% of the patients: intolerance 58%, suboptimal response 54%, transition to allogeneic stem cell transplants (ASCT) 10%. Major side effects were more frequent with 200 vs. 100 mg BID dose and included diarrhea 43%, nausea/vomitting 17%, dyspnea 25%, peripheral edema 28%, allergic reaction 13%, grade 3/4 neutropenia 22%, and grade 4 thrombocytopenia 34%. Up to the time of this writing, 17 deaths (28%), 11 (18%) ASCT, and 3 (5%) leukemic transformations were documented. In multivariable analysis, post-PAC survival was adversely affected by TDA (HR 11.9; p<0.01), platelet count <50 x 109/L (HR 7.4; p<0.01), and SRSF2/ASXL1 mutations (HR 10.7; p<0.01), all independent of ASCT, which was independently associated with longer survival (HR 9.0; p<0.01). Conclusions: The observations from the current real-world study, regarding the moderate activity of PAC for reducing spleen size, are consistent with those of the aforementioned controlled clinical trial (PERSIST-2). However, despite recent suggestions of the drug's mechanistically unique erythropoietic activity, the anemia response rate seen in the current study was underwhelming.

Introduction Knowledge of epidemiologic risk factors, clonal changes associated with MDS development from precursor states, and evolution from one MDS state to another (lower- (LR) or higher-risk (HR) disease or leukemia (AML)) are largely limited to retrospective studies, which may not reflect the true MDS spectrum. The MDS NHS is an established prospective cohort of patients (pts) with suspected MDS enrolled at diverse US sites. Extensive clinical data and biospecimens are collected at baseline and throughout follow-up (F/U), in real time, as pts are followed for life. Here, we assess rates and potential predictors of progression providing a foundation for precise stratification across the MDS spectrum, which may ultimately guide intervention. Methods At baseline, all MDS NHS pts have central pathology review and those assigned to MDS, MDS/MPN overlap, AML<30% blasts, or at-risk of MDS (AR-MDS: CCUS and other at-risk) are followed prospectively. We compared AR-MDS with LR-MDS (MDS and MDS/MPN overlap with IPSS-R ≤ 3.5) and HR-MDS (MDS and MDS/MPN overlap with IPSS-R > 3.5). We defined disease progression as any F/U diagnosis of worsening disease or documented disease-related death. Rates of disease progression were compared between groups using survival analysis methods for cumulative incidence incorporating non-disease death as a competing risk. Associations between progression and predictor variables were explored using univariate tests of association and multivariable survival (Cox regression) models for time-to-progression and logistic models for probability of progression (yes/no). Results The MDS NHS enrolled 2051 pts during June 2016-February 2024, with 54% (1111, above categories) followed prospectively. Median F/U is 1.7 yrs (IQR: 0.8-3.1 yrs, max: 7.9 yrs). For the current analysis, 582 MDS and 505 AR-MDS pts were included. Compared to AR-MDS, MDS patients were more often male (70% v 61%, p<0.01), older (median age: 75 v 72 years, p<0.01), and had lower baseline hemoglobin (median: 10.1 v 11.9 g/dL, p<0.001), platelets (median: 124 x109 v 146 x109 cells/L, p<0.001), and absolute neutrophil counts (median: 1.9 x109 vs 2.8 x109 cells/L, p<0.001). F/U time was similar among AR-MDS and MDS (median: 1.9 vs 1.6 yrs), with both groups having a 75th percentile of 3 yrs and maximum of 7 yrs. A total of 331 deaths were observed (30%), with 145 (44%) of these due to causes related to MDS (myeloid disease and/or cardiovascular disease). Overall, 18.5% had disease progression, with annual rates of 8% (MDS) and 2% (AR-MDS) (p<0.01). Among HR-MDS, progression rates were greatest in the 1st year following diagnosis (33%) and declined thereafter, whereas progression rates remained between 5-8% for LR-MDS and 1-3% for AR-MDS over 5 yrs of F/U. AR-MDS had similar rates of progression within the first 3 yrs from diagnosis as MDS with the lowest IPSS-R category. Among AR-MDS, low hemoglobin (hazard ratio, HR [95% CI]=3.2 [1.4-7.3], p<0.01) was significantly associated with progression. Among MDS, low hemoglobin (HR=4.0 [2.2-7.0], p<0.001), low platelet count (HR=3.1 [1.7-5.6], p<0.001) and higher numbers of mutations (HR=1.13 [1.0-1.2], p<0.01) were significantly associated with progression. Due to the low rate of progression in AR-MDS, meaningful comparisons of mutations could not be completed. In MDS, univariate analyses showed that somatic mutation prevalence in gene pathways for transcription, cell cycle and RAS signaling, and in genes TP53, BCOR, SF3B1, DDX41, PTPN11, SETBP1, and JAK2 were significantly associated with the probability of progression (p<0.05 in all). In multivariable models, adjusting for patient age, sex, and MDS risk level, the probability of progression (PP) was significantly higher among those with vs without somatic mutations in BCOR (PP=63% vs 29%, p=0.004), PTPN11 (PP=67% vs 29%, p=0.009), SETBP1 (PP=61% vs 30%, p=0.02), JAK2 (PP=59% vs 30%, p=0.02), DDX41 (PP=56% vs 30%, p=0.03) and TP53 (PP=43% vs 29%, p=0.04). Conclusions In this large prospective cohort of MDS and pts at risk for MDS, the annual rate of any disease progression was 8% among MDS and 2% among AR-MDS, lower than some retrospective series. Specific cytopenias and genetic factors associated with progression were identified. The MDS NHS provides an incomparable opportunity to address the critical clinical challenges of management and prevention of MDS progression across its spectrum.

Introduction: Myelodysplastic syndromes (MDS) occur due to the acquisition of mutational events over time. Tobacco smoking is a risk factor for MDS and has been associated with distinct genetic mutations in solid cancers. We investigated the association between smoking intensity and duration and the number and types of genetic mutations in MDS using a large prospective cohort. Methods: The prospective NHLBI/NCI National MDS Natural History Study includes individuals with suspected or recently diagnosed MDS enrolled between June 2016-August 2023. Patient (Pt) bone marrow samples underwent central pathology review, resulting in diagnoses including MDS, MDS/myeloproliferative neoplasm overlap (MDS/MPN), or precursor conditions, such as clonal cytopenia of undetermined significance (CCUS). Self-reported smoking data were collected at enrollment. Smoking intensity (i.e., light, medium, and heavy) was defined per CDC definitions. Included mutations were those manually annotated to be pathogenic for MDS. Mutation frequency and prevalence, as well as associations with smoking history and other key covariates, were assessed using univariate tests of association and multivariable regression models for counts and proportions. Rates of disease progression were compared between groups using survival analysis methods for cumulative incidence incorporating non-disease death as a competing risk. Results: Of 1898 evaluable pts, 52% (N=979) had a history of cigarette smoking [MDS: 58% (252/436), MDS/MPN: 57% (52/91), CCUS: 57% (230/405)], and 18% still smoked at diagnosis. The mean ± SD cigarettes per day was 15.8 ± 12.5 and the mean ± SD smoking years was 29.8 ± 16.9 years. Compared to non-smokers, smokers were more often males (68% v 54%, p<0.001) in the 70-79 year age group (45% v 34%, p<0.001). Similar proportions of those with and without a smoking history had MDS (41% v 37%, respectively). Within MDS, there was no association between smoking and MDS prognostic risk per revised international prognostic scoring system. Compared to light smokers [1-10 pack-years (PY)], heavy smokers (30+ PY) were more often male (81% v 62%, p<0.001) and had higher rates of cardiovascular disease (38% v 20%, p<0.001). In univariate analyses, smokers and non-smokers had similar numbers of mutations (mean ± SD: 2.0 ± 2.7 in both groups). Pts with CCUS had the least number of mutations (1.5 ± 1.2), followed by MDS (2.3 ± 1.8), and MDS/MPN overlap (3.3 ± 1.8). Within disease groups, smokers and non-smokers had similar numbers of mutations. Mutation prevalence was higher among smokers v non-smokers in gene pathways for chromatin modification (15% v 11%, p<0.01) and RNA splicing (26% v 19%, p<0.001) and for individual genes ASXL1 (12% v 8%, p<0.01), SF3B1 (9% v 6%, p<0.05), U2AF1 (6% v 3%, p<0.05) and ZRSR2 (2% v 1%, p<0.05). In multivariable regression models, after adjustment for sex, age and disease group, smokers had significantly more mutations on average than non-smokers (2.0 v. 1.4, p=0.04). Moreover, the number of mutations increased significantly with PY smoked (p=0.006), and those at the 75th and 90th percentiles of PY had 1.8 and 3.5 times the number of mutations, respectively, compared to non-smokers, indicating a dose-response relationship. After adjustment, mutation prevalence increased with PY smoked in the gene pathways for chromatin modification and RNA splicing (p<0.03 for both) and for the genes ASXL1 and ETNK1 (p<0.05 in both cases). The five-year cumulative incidence of disease progression was significantly higher among long-term smokers compared to non-smokers/those with shorter smoking history (mean [95% CI] proportion progressed, 20+ years vs <20 years smoking: 27% [19%-36%] vs 18% [13%-24%], p < 0.05). Overall survival was significantly lower for smokers compared to non-smokers for CCUS pts [HR 1.91, 95% CI (1.03-3.55), p=0.04] but not for MDS [HR 1.21, 95% CI (0.53-1.30), p=0.41]. Conclusions: In this prospective, national cohort, tobacco smoking was associated with distinct genetic mutations related to MDS, suggesting smoking potentially contributes to its multi-step molecular pathogenesis. A dose-response relationship was also demonstrated, as was an association with progression and survival. Our data suggest that pts with a new MDS diagnosis who are also smokers should be counseled to stop smoking, as it appears to contribute to the acquisition of new genetic mutations that can lead to progression.

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 Blast or accelerated phase myeloproliferative neoplasm (MPN-BP/AP) carries a dismal prognosis, with 3-year survival estimates of <5% (BCJ 2023;108). Patients with MPN-BP/AP were excluded from venetoclax (Ven) plus hypomethylating agent (HMA) clinical trials for acute myeloid leukemia (NEJM 2020;383:617). In the current retrospective study, we examined response patterns and long-term survival of newly-diagnosed MPN-BP/AP patients who received treatment with Ven+HMA, outside of clinical trials. Methods Newly-diagnosed patients with MPN-BP/AP treated with Ven+HMA at the Mayo Clinic, between March 2019 and May 2024, were retrospectively reviewed. Diagnostic criteria were according to the International Consensus Classification (Blood 2022;140:1200). Cytogenetic and molecular studies were performed by conventional karyotype and next-generation sequencing, respectively. All patients received at least one cycle of Ven+HMA (azacitidine 75 mg/m2 days 1-7 or decitabine 20 mg/m2 days 1-5). Response was assessed according to the 2022 European Leukemia Net criteria (Blood 2022;140:1345). Standard statistical analyses were performed using JMP Pro (Version 17.1.0). Results Patient characteristics 70 patients (median age 73 years, 59% males, 48% splenomegaly >14 cm, 4% isolated myeloid sarcoma) with newly-diagnosed MPN-BP (n=58) or AP (n=12) received Ven+HMA with (n=13) or without (n=57) concomitant JAK2 inhibitor. Driver mutation distribution was 69% JAK2, 21% CALR, 6% MPL, and 4% triple negative. Mutations involved ASXL1 (31%), TP53 (28%), TET2 (28%), RUNX1 (25%), SRSF2 (18%), IDH2 (12%), U2AF1 (11%), DNMT3A (9%), IDH1 (7%), and K/NRAS (7%). Karyotype was abnormal in 50 (76%) of 66 informative cases, of which 28 (56%) were complex (CK). Median TP53 mutation variant allele frequency (VAF) was 30% (8-96%) and all evaluable cases displayed CK (n=18). Response and Survival Complete remission (CR; 21%) or CR with incomplete count recovery (CRi; 19%) was documented in 28 (40%) patients with residual MPN in 18 (64%) patients. Median response duration was 5.5 months (1-60 months). After a median follow up of 7 months (1-62 months), 48 (69%) deaths, 13 relapses (46%), and 15 (21%) allogeneic stem cell transplants (ASCT; 12 in CR/CRi) were recorded. Median overall survival (OS) was 9 months and was superior with ASCT (median 22 vs. 8 months; p=0.01). In univariate analysis, transplant-censored survival was superior with CR/CRi (12 vs. 5 months; p<0.01) and IDH1 mutation (33 vs. 8 months; p=0.04) and inferior with CK (7 vs. 10 months; p=0.05), TP53 mutation (5 vs. 10 months; p<0.01), post polycythemia vera myelofibrosis (post-PV MF) (3 vs. 9 months; p=0.01), and splenomegaly >14 cm (5 vs. 16 months; p<0.01). Multivariable analysis confirmed the negative survival impact of not achieving CR/CRi (HR 3.8; p<0.01) and presence of TP53 mutation (HR 4.0; p<0.01); median survival (1/3-year survival rate) was 3 months (10%/0%) in TP53 mutated patients not achieving CR/CRi (n=11) vs. 27 months (65%/28%) in TP53 unmutated cases achieving CR/CRi (n=19) (p < 0.01). Median survival in patients with TP53 mutations or CK who achieved CR/CRi (n=7; 7 months) was inferior to that in treatment responders without TP53 mutations or CK (n=18; 23 months; p=0.01). CR/CRi rates in the presence vs. absence of TP53 mutations were 42% vs. 39% (p=0.80) and of CK (25% vs. 50% (p=0.04). Importantly, responses in the presence of TP53 mutations or CK were too short-lived to allow successful bridging to ASCT (median 2 vs. 9 months; p<0.01). Additional predictors of inferior treatment response included splenomegaly >14 cm (24% vs. 53%; p=0.01), and post-PV MF (0% vs. 46%; p<0.01) while SRSF2 (67% vs. 34%; p=0.04) and IDH2 mutations (75% vs. 35%; p=0.03) were associated with favorable response. In multivariable analysis, CK (p=0.04) and splenomegaly >14 cm (p=0.01) remained independent predictors of inferior response. The use of concomitant JAK2 inhibitor therapy did not impact treatment response (CR/CRi 46% vs. 39%; p=0.62) or survival (median 9 vs. 8 months; p=0.71). Conclusions TP53 mutations and CK undermine the value of Ven+HMA, with or without concomitant JAK2 inhibitor, in enabling successful bridging of newly-diagnosed MPN-BP/AP to ASCT. An alternative treatment approach is advised, in the particular scenario, while the observed 3-year survival rate of 28%, in treatment responders without TP53 mutations, is encouraging.

Background: Age-related clonal hematopoiesis (ARCH) is a precursor state to blood cancers and is associated with epigenetic age acceleration (EpiAgeAccel) (Aging Cell, 2021). While ARCH in combination with AgeAccel has the highest risk for all cause mortality and cardiovascular disease, not much is known about context-relevant clonal hematopoiesis (CRCH) - CH occurring in the context of prior chemo/radiation, bone marrow failure and germline predisposition syndromes. CRCH has a unique mutational signature enriched in genes in DNA damage response and repair (TP53 and PPM1D). To answer this question, we assessed EpiAge in a prospective cohort of patients with both ARCH and CRCH. Methods: Patients were prospectively recruited for CH and EpiAge assessment from the Mayo Clinic CH clinic between 2022 and 2024. Demographic and clinical data including chronologic age, BMI, sex, blood counts, and medical history were recorded at the time of enrollment. CH status was determined using error corrected sequencing on peripheral blood (PB) DNA. All somatic variants with a variant allele frequency (VAF) ≥0.5% were considered as CH. For EpiAge analysis PB DNA was analyzed using the Illumina MethylationEPIC array. The resulting beta values were used to obtain epigenetic age estimates using Horvath's clock (Genome Biol., 2013), Hannum's Clock (Mol Cell., 2013), PhenoAge (Aging, 2018), DunedinPACE (eLife, 2022), and predicted telomere length (Aging, 2019). Results: 106 (62%) of 170 patients assessed were found to have CH, with the most frequent mutations being TET2 (19%), PPM1D (17%), DNMT3A (16%), ASXL1 (9%), and TP53 (6%); median VAF 9.5%. Except for a higher median chronologic age (68 vs 60 years, p<0.001) in the CH group, baseline characteristics including BMI, comorbidities, baseline blood counts, sex and tobacco use history were similar between the two groups. The CH group demonstrated significant EpiAgeAccel by all three clocks: Horvath (p=0.001), Hannum (p<0.001), and PhenoAge (p<0.001); with an increase in biological age of 4.9 years (95% CI 2-7.7) by Horvath clock, 4.8 years (95% CI 2.2-7.5) by Hannum clock, and 7 years (95% CI 2.9-10.5) by PhenoAge, after adjusting for chronologic age, sex, smoking status, and cancer history. CH was also associated with increased DunedinPACE of aging by 0.13 biological year per chronologic year (bioyear/chronoyear) (95% CI 0.06-0.2, p<0.001), and shortened telomere lengths by 0.24kb (95% CI 0.11-0.35, p<0.001) after adjusting for chronologic age and excluding patients with telomere biology disorders. CH patients were then further classified into ARCH-63 (59%) and CRCH-43 (41%). While the median chronological age (69 vs 67 years) was similar between the 2 groups, CRCH patients had lower Hgb [10.9g/dL vs. 13g/dL (p=0.0001)] , lower platelet [146x109/L vs. 192x109/L (p=0.0132)] and lower WBC [4.4x109/L vs. 5.2x109/L (p=0.0345)]. The median BMI, comorbidities, and tobacco use history were similar between the 2 groups. The 3 most common ARCH mutations were TET2 (20%), DNMT3A (19%), and ASXL1 (14%), while, PPM1D (27%), TET2 (18%), and DNMT3A (14%) were frequent in CRCH. There was no significant difference found in median EpiAge via Horvath (68 vs 67.5years p=0.2826), Hannum (65 vs 66 years p=0.9333), or PhenoAge (55 vs 56 years p=0.618) between ARCH and CRCH. However, DunedinPACE of aging was higher in CRCH (1.27 vs 1.18 bioyear/chronoyear p=0.0148) and median telomere length was shorter in CRCH (6.35 vs 6.49kb p=0.0247), in comparison to ARCH. Multivariable regression analysis was completed for both ARCH and CRCH compared to non-CH, adjusting for chronologic age, smoking status, and male sex. While both ARCH and CRCH demonstrated EpiAgeAccel via Horvath(5.8years p=0.0001, 3.4 years p=0.051), Hannum(5years p=0.001, 4.5 years p=0.007), and PhenoAge (6.7years p=0.002, 7.6 years p=0.002) clocks, CRCH more than doubled DunedinPACE (0.2 bioyear/chronoyear, p<0.001) of aging compared to ARCH (0.08 bioyear/chronoyear, p=0.026). CRCH also demonstrated double the decrease in telomere length (0.34kb, p<0.001) compared to ARCH (0.17kb, p=0.015). Conclusion: Our prospective CH cohort study validates the association between CH and EpiAgeAccel using several different methylation clocks and for the first time, highlights increased pace of aging and shorter telomere lengths in CRCH versus ARCH. Correlations with cardiovascular disease and mortality outcomes are ongoing.

Background: The addition of midostaurin (M), an oral multi-kinase inhibitor, to intensive chemotherapy (IC) prolongs survival in newly diagnosed (ND) FLT3 mutated (m) AML. It is not known if there is a benefit to more potent and selective FLT3 inhibitors. Among these is Gilteritinib (G), now approved as a single agent in relapsed/refractory FLT3m AML. Combined with IC, G also leads to high measurable residual disease (MRD)negative (-) composite complete remission (CRc) in FLT3 Internal Tandem Duplication (ITD)m AML. The aim of the PrECOG 0905 study was to compare FLT3m clearance and CRc rates of G vs M with IC in adults with ND FLT3m AML. Methods: We conducted a randomized, open-label, phase 2 trial comparing G to M in combination with IC during induction and consolidation in ND AML pts with centrally PCR detected FLT3 ITD or TKD mutations. Pts age 18-70 with non M3 AML and no known core binding factor rearrangement were eligible. Pts were stratified by mutation type (TKD only vs. ITD (+/- TKD)), NPM1 mutation status, and FLT3-ITD allelic ratio. Induction consisted of cytarabine 100 mg/m2 by continuous infusion daily, on day (d) 1-7 and daunorubicin 90 mg/m2 IV on d 1-3. G 120 mg daily or M 50 mg twice daily was given orally on d8-21. Consolidation (up to 4 cycles) began within 60 d of induction with Cytarabine (1.5-3 g/m2 IV) X 6 doses and G or M (as per randomization) on d8-21. Pts could proceed to transplant (HCT) at any time. Maintenance was not included. The primary outcome was FLT3m MRD (-) CRc after induction. MRD for TKD mutations was tested by PCR (sensitivity 10-2); ITD MRD was tested by amplicon-based NGS (sensitivity 10-4). Safety and efficacy were analyzed in all eligible pts who received treatment. Secondary endpoints included comparison of CRc, MRD by flow cytometry (sensitivity 10-3), and survival. Results: From 11/2019 to 11/2022, 722 pts were screened at 37 centers, 180 pts randomized, and 177 pts (58% female, 77% white, 8.5% black, 8.5% hispanic) treated on the G (n=90) or M (n=87) arm. Median age was 54, with 27.7% > age 60. FLT3-ITD was present in 80% in the G arm and 78.2% in the M arm. Of those with FLT3-ITD, NPM1 was detected in 56.9% pts in G arm and 58.8% in M arm. 24.4% G and 20.7% M pts had co-occuring FLT3-ITD, NPM1 and DNMT3A mutations. Adverse karyotype was seen in 3.4% G and 9.3% M while 10% G and 13.8% M were ELN 2022 adverse risk. For pts on G arm, 85.6% achieved CRc compared to 72.4% for M (p=0.042). 5 (5.6%) pts on G arm and 6 (6.9%) on M arm received 2 cycles in induction. Post induction, the FLT3m- CRc rate was 40% for G vs 47.1% for M (p=0.366). FLT3-TKD only mutated pts achieved CRc in 88.9 % with G and 63.2% with M and FLT3m- CRc in 72.2% and 63.2% respectively. FLT3-ITDm (+/- TKDm) pts achieved CRc/FLT3m- CRc in 84.7%/31.9% with G and 75%/42.6% with M, respectively. In pts with FLT3-ITD, NPM1 and DNMT3A mutations, 95.5% G and 72.2% M achieved CRc and 50% G vs 33.3% on M achieved FLT3m- CRc. Flow cytometry MRD negative CRc was documented in 64.4% on G arm and 59.8% on M arm after induction (p=0.539). On G arm 67 (74%) patients received at least one cycle of consolidation compared to 53 (61%) pts on M arm. On exploratory analysis, 54 (66%) G and 40 (46%) M were reported to proceed to HCT in first remission. FLT3m testing was done post consolidation cycle 1 in 27 pts in FLT3m+ CRc after induction and 15/18 (83%) on G and 4/9 (44.4%) on M converted to FLT3m-. On multivariate logistic regression analysis for FLT3m-CRc post-induction, FLT3-ITD allelic ratio, NPM1m, WBC and hemoglobin at baseline were significant at the 0.10 two-sided level, while treatment arm, and 2017 ELN risk were not. There were no deaths from treatment-related (TR) adverse events (TRAEs) while grade >=3 TRAE was reported in 73%G vs 70% M during induction and 79%G vs 73%M pts during consolidation. Conclusion: Induction therapy with daunorubicin 90 mg/m2 X 3 days, cytarabine 100 mg/m2 and gilteritinib results in an excellent CRc rate with no TR deaths in pts with ND FLT3m AML up to age 70. Compared to M, G increased the CRc but not the FLT3m- CRc rate after induction. More post induction FLT3m+CRc pts who received G became FLT3m- after consolidation cycle 1 and more G pts succeeded in proceeding to HCT. Future survival data will help evaluate the clinical impact of G and MRD assessments in ND FLT3mAML. Larger studies will be needed to establish most predictive timing of MRD and for definitive comparisons of these drugs in patients with specific mutation profiles ( ie TKD, ITD/NPM1/DNMT3).