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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.

Abstract This phase 2 trial assessed high-dose IV ascorbic acid in TET2 mutant clonal cytopenia. Eight of 10 patients were eligible for response assessment, with no responses at week 20 by International Working Group Myelodysplasia Syndromes/Neoplasms criteria. This trial was registered at www.clinicaltrials.gov as #NCT03418038.

AbstractThe current study was inspired by observations from exploratory analyses of an institutional cohort with chronic myelomonocytic leukemia (CMML; N = 398) that revealed no instances of blast transformation in the seven patients with plant homeodomain finger protein 6 (PHF6) mutation (PHF6MUT). A subsequent Mayo Clinic enterprise‐wide database search identified 28 more cases with PHF6MUT. Compared with their wild‐type PHF6 counterparts (PHF6WT; N = 391), PHF6MUT cases (N = 35) were more likely to co‐express TET2 (89% vs. 45%; p < .01), RUNX1 (29% vs. 14%; p = .03), CBL (14% vs. 2%; p < .01), and U2AF1 (17% vs. 6%; p = .04) and less likely SRSF2 (23% vs. 45%; p < .01) mutation. They were also more likely to display loss of Y chromosome (LoY; 21% vs. 2%; p < .01) and platelets <100 × 109/L (83% vs. 51%; p < .01). Multivariable analysis identified PHF6MUT (HR 0.28, 95% CI 0.15–0.50) and DNMT3AMUT (HR 5.8, 95% CI 3.3–10.5) as the strongest molecular predictors of overall survival. The same was true for blast transformation‐free survival with corresponding HR (95% CI) of 0.08 (0.01–0.6) and 9.5 (3.8–23.5). At median 20 months follow‐up, blast transformation was documented in none of the 33 patients with PHF6MUT/DNMT3AWT but in 6 (32%) of 19 with DNMT3AMUT and 74 (20%) of 374 with PHF6WT/DNMT3AWT (p < .01). The specific molecular signatures sustained their significant predictive performance in the context of the CMML‐specific molecular prognostic model (CPSS‐mol). PHF6MUT identifies a unique subset of patients with CMML characterized by thrombocytopenia, higher prevalence of LoY, and superior prognosis.

Abstract With emerging new drugs in myelofibrosis (MF), a robust and harmonized framework for defining the severity of anemia and response to treatment will enhance clinical investigation and facilitate interstudy comparisons. Accordingly, the lead authors on the 2013 edition of the International Working Group–European LeukemiaNet (IWG-ELN) response criteria in MF were summoned to revise their document with the intent to (1) account for gender-specific differences in determining hemoglobin levels for eligibility criteria; (2) revise the definition of transfusion-dependent anemia (TDA) based on current restrictive transfusion practices; and (3) provide a structurally simple and easy to apply response criteria that are sensitive enough to detect efficacy signals (minor response) and also account for major responses. The initial draft of the 2024 IWG-ELN proposed criteria was subsequently circulated around a wider group of international experts and their feedback incorporated. The proposed articles include new definitions for TDA (≥3 units in the 12 weeks before study enrollment) and hemoglobin thresholds for eligibility criteria (&lt;10 g/dL for women and &lt;11 g/dL for men). The revised document also provides separate (TDA vs non-TDA) and graded (major vs minor response) response criteria while preserving the requirement for a 12-week period of screening and observation on treatment.

9018 Background: Comprehensive hematology education during fellowship is paramount for providing high-quality care, especially in busy practices. Variability in fellow educational experiences is expected. However, fellowship programs must ensure a well-rounded, equitable educational experience for all fellows to prepare them for practice and board exams in the increasingly dynamic field of hematology. Methods: We administered an e-mail survey to hematology/oncology fellows (n=30) at Mayo (Rochester) to explore inpatient hematology education experiences and the Fellow Hematology Curriculum (FHC) during 2021-2022. Based on results, we designed a fellow-led, consultant-supervised quality improvement (QI) initiative to improve FHC. Responses were in a five-point Likert scale and open-ended format. Results: Twenty fellows completed the survey (66% response rate). Respondents were well distributed (35% PGY4, 25% PGY5, 40% PGY6). Resources most used for self-education were ASH SAP (85%), UpToDate (80%), and NCCN guidelines (50%). 100% of respondents agreed/strongly agreed that the FHC could be improved. 95% agreed/strongly agreed that there is a high degree of variability among consultants regarding engagement in fellows’ education. 45% agreed that education is adequately paired with relevant clinical duties to reinforce key concepts. 25% agreed that FHC had well-defined structure and objectives. In the open-ended responses, a structured curriculum covering a set list of topics paired with the relevant rotation was the most common recommendation by the fellows for improving the FHC and the inpatient hematology educational experience. This prompted a QI initiative to implement a structured, evidence-based curriculum covering essential topics required for hematology practice. Each week of a four-week rotation has a relevant theme (eg, “Marrow Failure week” during the inpatient leukemia service). Fellows selected a topic of interest and created a lecture to be used by all faculty and learners during the relevant rotation (eg, “Aplastic Anemia” during the Marrow Failure). Consultants and pharmacists in respective disease groups reviewed the topics and presentations. These lectures are now provided to fellows and faculty via e-mail prior to relevant rotations. Conclusions: Our survey demonstrated that trainees’ individual educational experiences on inpatient hematology services are widely variable and largely unsatisfying without some form of structured, relevant learning. We identified the need for deliberate, coordinated education as a gap to bridge toward achieving the goal of equitable, comprehensive learning. We intend to perform a post-implementation survey after one year of practicing a structured, relevantly paired FHC. This assessment will be used to make improvements in subsequent iterations of the FHC using the Plan-Do-Study-Act methodology.

AbstractTwo‐hundred pregnancies involving 100 women with essential thrombocythemia (ET) were accessed from Mayo Clinic databases (1990–2023). Median platelet count displayed a decline during pregnancy, nadiring at 48% of baseline, in the third trimester: 704–369 × 109/L. Live birth rate was 72%. Of 53 (27%) unintentional pregnancy losses, 48 (24%) occurred in the first trimester. Other fetal complications included preterm birth 3%, intrauterine growth retardation 3%, and stillbirth 1%. Maternal complications included major hemorrhage (7%), preeclampsia (6%), thrombosis (1%), and placental abruption (0.5%). Antepartum management included no specific therapy in 52 (26%), aspirin alone in 112 (56%), aspirin combined with cytoreductive drugs or systemic anticoagulants in 23 (12%), and other permutations in the remaining. Postpartum systemic anticoagulation was documented in 29 (15%) pregnancies. Unintentional first‐trimester loss was predicted by prior fetal loss (43% vs. 18%; p < .01), diabetes mellitus (DM; 67% vs. 23%; p = .02), and absence of aspirin therapy (45% vs. 14%; p < .01); the salutary effect of aspirin therapy was independent of the other two risk factors and apparent in both high (presence of ≥1 risk factor; 33% vs. 61%; p = .07) and low (absence of both risk factors; 10% vs. 34%; p < .01) risk scenarios. The benefit of aspirin therapy, in preventing first‐trimester loss, was significant in both JAK2‐mutated (18% vs. 50%; p < .01) and CALR‐mutated (8% vs. 43%; p < .01) cases. Aspirin use was also associated with a lower risk of venous thrombosis (0% vs. 3%; p = .03). By contrast, the use of systemic anticoagulation, antepartum or postpartum, did not influence fetal or maternal complication rates. CALR mutation and DM predicted maternal hemorrhage (13% vs. 4%; p = .05) and preeclampsia (33% vs. 5%; p = .03), respectively. The current study demonstrates the protective role of aspirin in preventing first‐trimester loss in ET, independent of driver mutation status or other risk factors.