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Abstract Background: The functional importance of bone marrow adipocytes (BMA) is frequently overlooked even though they are critical components of the BM (bone marrow) microenvironment. BMA have been proposed to play a supportive role within the hematopoietic niche and to directly sustain hematopoietic stem cell (HSC) survival as well as to preferentially support leukemia cell survival and proliferation (Sabbah Cell Commun Signal 2023). Although significant ex-vivo data implicates direct and indirect crosstalk between BMA and neoplastic HSCs (Venti Front Endocrinol 2022), the possible role of BMA in myeloproliferative neoplasms and their dynamics following therapy have yet to be characterized. Adiponectin, an anti- inflammatory adipokine that maintains metabolic homeostasis through regulation of insulin sensitivity, lipid metabolism and pro-inflammatory signaling is low in MPN patients and increases with IFN-α therapy (Avcu Int J Hematol. 2006). IFN-α has also been implicated in inhibiting adipogenesis via JAK-STAT1 signaling (Lee Biochim Biophys Act. 2016). A single institutional study of IFN-α in patients with essential thrombocythemia (ET) and polycythemia vera (PV) confirmed the potential for BM histopathologic responses and a correlation with molecular responses (Masarova Exp Hematol Oncol 2017). The aim of this analysis was to characterize the change in BM cellularity and fat composition with pegylated IFN α-2a (Pegasys; PEG) and the relationship with both hematologic and molecular response from tissue collected in prospective, global clinical trials of PEG in patients with ET/PV. Methods: A total of 24 subjects from the phase 2 MPN-RC 111 (Yacoub Blood 2019) salvage PEG study and 16 subjects from the MPN-RC 112 (Mascarenhas Blood 2022) phase 3 study comparing PEG to HU with available clinical, BM H&E slides, laboratory and molecular data were included in this retrospective analysis of prospective clinical trial data. We assigned a semi-quantitative score for changes in cellularity, fat distribution, and megakaryocyte (MK) histo-topography for changes from baseline, at 12, 24 and 36 months when available. Changes in BMA content and para-trabecular distribution were assessed on whole slide digital images with machine learning models. BMA content was quantified with a QuPath pixel classifier that distinguished adipocytes from other marrow components (Bankhead Scientific Reports 2017). Para-trabecular adipocyte distribution was assessed by leveraging UNI2-h, a self-supervised Vision Transformer (ViT-H/14) model and successor to UNI (Mahmood Nature 2024). UNI2-h was pre-trained on 200 million image tiles from over 300,000 H&E and IHC slides. In this study, UNI2-h was adapted to distinguish between high and low para-trabecular adiposity using image tiles centered on trabeculae. Trabeculae with a surrounding layer of adipocytes were labeled as ‘high’ adiposity, while ‘low’ para-trabecular fat distribution was defined by the direct contact of cellular marrow with trabeculae, lacking surrounding adipocytes. Results: A total of 40 PEG-treated ET (n=18) and PV (n=22) patients were included in this analysis with a median age of 64 years (26-85), 77% JAK2V617F+, 23% CALRmut+, and 40% treatment-naïve. The median JAK2V617F variant allele fraction (VAF) was 26% (range 3-96%). A complete hematologic response (CHR) was obtained with PEG in 58%, 61% attained >20% reduction in driver VAF and 48% attained a >50% reduction in VAF (MR) within 24 months of baseline. We observed an increase in BMA content and notable increase in para-trabecular distribution (confirmed by morphology and ML, independently) in 93% and 53% of PEG treated patients attaining a MR versus only 31% and 6% who did not attain MR, respectively (P Value=0.0004). There was more notable improvement towards normalization of MK histo-topography and orderly erythropoiesis in MR (86.6%) than in non-MR (31.2%) (P value=0.001). Increase in BMA content, BMA para-trabecular distribution, or improvement in MK histo-topography were not associated with achievement of CHR or changes in CALR VAF in this small cohort. Cytokine correlation with BMA dynamics is currently ongoing and will be reported at the meeting. Conclusion: Treatment of MPN patients with IFN-α resulted in reproducible changes in BM cellularity including MK histo-topography, erythropoiesis, BMA number and distribution. Changes in BMA were closely associated with reduction in JAK2V617F VAF following PEG treatment.

Abstract Background: The International Prognostic Scoring System (IPSS; Cervantes et al. Blood 2009;113) and dynamic IPSS (DIPSS; Passamonti et al. Blood 2010;115:1703) were developed about 15 years ago, based on 5 clinical risk factors: age >65 years, hemoglobin <10 g/dl, white blood cell count (WBC) >25 x 109/L, peripheral blood (PB) blasts ³1%, and constitutional symptoms. DIPSS-independent genetic risk factors have since been incorporated into molecular risk models with higher predictive accuracy (Guglielmelli et al. JCO 2018;36:310; Tefferi et al JCO 2018;36:1769). Because of its accessibility, DIPSS is often preferred for use in patient selection for clinical trials. The objective of the current study was to revise DIPSS by incorporating new and refined clinical risk variables and excluding those that are subjective (e.g., symptoms) or could exaggerate the need for therapy for older adults (e.g., age). Methods: Diagnostic criteria were according to the International Consensus Classification (Arber et al. Blood 2022; 140:1200). Severity of anemia was adjudicated by the Revised International Working Group-European LeukemiaNet criteria (Blood 2024; 144:1813). Receiver operating characteristic curve analysis was utilized to determine the optimal cutoff points for age, WBC, PB blast percentage, absolute monocyte count (AMC), and platelet count. Data were collected retrospectively corresponding to the time of first referral, which, in the majority of cases, coincided within one year of initial diagnosis and before initiation of cytoreductive therapy. Survival analysis was censored for allogenic stem cell transplantation (ASCT). Time-specific AUC was computed at pre-defined landmark time points and used to compare model performance between DIPSS and the revised model (DIPSS-R). Results: The discovery cohort from the Mayo Clinic included 1,073 patients (median age 65 years; 61% males) and the validation cohort from Italy 635 patients (median age 63 years; 60% males). In the discovery cohort, median follow-up (% deaths, AML, ASCTs) was 45 months (49%, 10%, 17%) and in the validation cohort 60 months (42%, 11%, 5%). In univariate analysis, the following correlated with inferior survival, in both the discovery and validation cohorts, with significance confirmed by multivariable analysis (MVA) in the discovery cohort: severe anemia (transfusion-dependent or hemoglobin level <8 g/dL in women or <9 g/dL in men), moderate anemia (hemoglobin level 8 to <10 in women or 9 to <11 in men), marked leukocytosis (WBC ≥25 x 109/L), moderate leukocytosis (WBC 11 to <25 x 109/L), age >65 years, PB blast ≥2%, AMC ≥1 x 109/L, platelet count <150 x 109/L, constitutional symptoms, and male sex. After excluding age, sex, and constitutional symptoms, MVA-derived HRs (95% CI) were 3.5 (2.8-4.4) for severe anemia, 2.0 (1.5-2.5) moderate anemia, 2.4 (1.8-3.3) marked leukocytosis, 1.5 (1.2-1.9) moderate leukocytosis, 1.7 (1.4-2.1) PB blast ≥2%, 1.5 (1.2-2.0) AMC ≥1 x 109/L, and 1.5 (1.2-1.8) platelet count <150 x 109/L. An HR-weighted risk model was subsequently developed (Figure 1) and validated (Figure 2) using the discovery and validation cohorts, respectively: low risk (0 points; N=205; median survival 226 months), intermediate-1 risk (1 point; N=253; 131 months), intermediate-2 risk (2-3 points; N=457; 62 months), and high risk (4-7 points; N=153; 31 months); the corresponding median survival estimates in the validation cohort were “not reached”, 205 months, 96 months, and 44 months (inter-risk category p values <0.01 in all instances). Ten-year predictive accuracy was comparable between DIPSS-R (AUC 0.78) and DIPSS (AUC 0.78), despite the exclusion of age and constitutional symptoms, as risk variables, from the revised model. Furthermore, predictive performance was superior for DIPSS-R vs. DIPSS when analysis was stratified by age: >65 years (AUC 0.77 vs. 0.74) and ≤65 years (AUC 0.71 vs. 0.66). MVA that included high (ASXl1, SRSF2, U2AF1) and low (CALR type 1/like) risk mutations, karyotype, and DIPSS-R variables showed independent prognostic contribution from all except thrombocytopenia (p=0.2; Figure 3). Conclusion: DIPSS-R utilizes disease-related, as opposed to host-related, predictors of survival whose prognostic contribution was independent and complementary to genetic risk factors. The model preserves global applicability and allows for a more accurate assessment of disease severity for practice and research purposes.

ABSTRACT Survival prediction models in essential thrombocythemia (ET) include the International Prognostic Scoring System (IPSET) and the more recently introduced triple‐A (AAA) prognostic score. The latter enlists age and absolute neutrophil (ANC) and lymphocyte (ALC) counts as risk variables. In the current study, a Mayo Clinic discovery cohort of 658 patients with ET was used to identify AAA‐independent risk variables. Accordingly, multivariable analysis‐derived HRs (95% CI) were 15.7 (8.4–29.5) for age > 70 years (8 points); 4.2 (2.3–7.5) for age 50 to 70 years (2 points); 1.8 (1.2–2.5) for ANC ≥ 8 × 10 9 /L (1 point); 1.4 (1.03–1.9) for ALC < 1.7 × 10 9 /L (1 point); 1.8 (1.2–2.6) for absolute monocyte count (AMC) ≥ 0.5 × 10 9 /L (1 point); 1.8 (1.2–2.3) for male sex (1 point); 1.8 (1.3–2.4) for arterial hypertension (1 point); and 1.6 (1.2–2.3) for arterial thrombosis (1 point). HR‐weighted scoring enabled a 4‐tiered risk classification: ultra‐low (0–1 points; N = 94; median survival 42.7 years), low (2–4 points; N = 297; 23 years), intermediate (5 points; N = 66; 17.3 years), and high (6–14 points; N = 201; 10.8 years). Time‐dependent predictive performance at 20/25 years favored AAA + (AUC 0.92/0.91) vs. AAA (0.86/0.86) vs. IPSET (0.81/0.84). The AAA + risk model was subsequently validated by two external cohorts from Israel ( N = 5968) and Italy ( N = 682). In the cohort from Israel, disease‐specific mortality was assessed by comparing observed survival to an age‐ and sex‐matched reference population, which suggested near‐normal life expectancy in ultra‐low risk patients. The current study highlights host‐related factors as the primary determinants of longevity in ET and provides a composite risk score (AAA + ) that is based on complete blood count‐derived parameters and host‐related factors. Predictive performance of the new model was shown to be superior to that of IPSET and AAA.

ABSTRACT This study aimed to distinguish between essential thrombocythemia (ET) and prefibrotic primary myelofibrosis (pre‐PMF) using routine blood tests, with a focus on white blood cell (WBC) and platelet (PLT) levels. We evaluated the predicted probability of a pre‐PMF diagnosis based on the interaction between WBC and PLT levels using data from a logistic regression model involving 891 patients with ET and 180 patients with pre‐PMF. Patients were divided into four groups based on whether their WBC and PLT values were below or above the respective thresholds of 8.85 × 10 9 /L and 793 × 10 9 /L. The results showed that patients with low levels of both WBCs and PLTs had the lowest predicted probability of pre‐PMF (6%), indicating a profile more typical of ET. When either WBC or PLT levels were elevated, the probability increased to approximately 18%–19%, indicating a potential shift toward pre‐PMF features. Notably, patients with elevated levels of both WBCs and PLTs had the highest probability of a pre‐PMF diagnosis (26%), which was more than four times higher than that of the low–low group. The association between combined WBC/PLT levels and a pre‐PMF diagnosis remained significant ( p < 0.001), even when adjusting for serum lactate dehydrogenase (LDH) and splenomegaly. These findings suggest that elevated WBC and PLT levels together can serve as a practical and accessible diagnostic tool for supporting the differential diagnosis of ET or pre‐PMF in cases of uncertainty, and for deferring bone marrow biopsy in cases of early disease presenting with isolated thrombocytosis.

Abstract Most myelofibrosis (MF) drug approvals by Health Authorities are based on 1 or 2 outcome measures such as spleen volume reduction and/or improved quality-of-life. This 1–2 dimensional approach fails to capture the clinical complexity of MF. A European LeukemiaNet (ELN) taskforce developed a composite endpoint which allows multiple outcomes to be simultaneously measured. The panel used the Desirability-Of-Outcome-Ranking (DOOR) method to assign 25 outcomes into 4 quartiles based on a multi-dimensional desirability score and build a 5-layer composite outcome named Desirability-of-Myelofibrosis-Outcomes (DEMYO). Outcome operational definitions were tested by Delphi consensus and correlations with survival validated by a literature review. The outcomes assigned to the first two quartiles were negatively correlated with leukemia-free survival and survival. DEMYO comprehensively captures relevant MF clinical features and meaningful endpoints. Despite DEMYO requires validation based on available trial data, it is expected to improve the quality of Health Authority approvals for new drugs for MF.

Importance Essential thrombocythemia, a clonal myeloproliferative neoplasm with excessive platelet production, is associated with an increased risk of thrombosis and bleeding. The annual incidence rate of essential thrombocythemia in the US is 1.5/100 000 persons. Observations Patients with essential thrombocythemia have a persistent platelet count of 450 × 10 9 /L or greater. The differential diagnosis includes myeloproliferative neoplasms (polycythemia vera, primary myelofibrosis, chronic myeloid leukemia); inflammatory conditions such as rheumatoid arthritis and systemic lupus erythematosus; infections; splenectomy; iron deficiency anemia; and solid tumors such as lung cancer. Approximately 90% of individuals with essential thrombocythemia have genetic variants that upregulate the JAK-STAT (signal transducer and activator of transcription 5) signaling pathway, including Janus kinase 2 (JAK2, 64%), calreticulin (CALR , 23%), and myeloproliferative leukemia virus oncogene (MPL , 4%). The median age at diagnosis of essential thrombocythemia is 59 years. The median overall survival exceeds 35 years in those diagnosed at 40 years or younger. Patients with essential thrombocythemia are at increased risk of arterial thrombosis (11%), venous thrombosis (7%), and hemorrhagic complications (8%). Thrombosis risk is increased among those with a history of thrombosis, age older than 60 years, a JAK2 gene variant, and cardiovascular risk factors (eg, hypertension, diabetes mellitus, hyperlipidemias, tobacco use). Use of aspirin (81-100 mg/d) is suggested for most patients with essential thrombocythemia to lower thrombosis risk. In a retrospective study of 300 affected patients with a low thrombosis risk (younger than 60 years with no prior thrombosis), those not taking aspirin (100 mg/d) had a risk of arterial thrombosis of 9.4/1000 patient-years and a venous thrombosis risk of 8.2/1000 patient years; cardiovascular risk factors were associated with a higher risk of arterial thrombi (incidence rate ratio, 2.5 [95% CI, 1.02-6.1]), and a JAK2 gene variant was associated with increased risk of venous thrombosis (incidence rate ratio, 4.0 [95% CI, 1.2-12.9]). In a randomized trial of 114 patients at higher risk for thrombosis (age older than 60 years or a prior thrombotic event), cytoreduction with hydroxyurea significantly lowered the risk of arterial or venous thrombotic events compared with no cytoreductive therapy (3.6% vs 24%; P &amp;lt; .01). At a median of 8.5 years from diagnosis, approximately 10% of patients with essential thrombocythemia develop myelofibrosis and about 3% develop acute myeloid leukemia. Conclusions Essential thrombocythemia is a rare clonal myeloproliferative neoplasm associated with an increased risk of venous and arterial thrombosis, hemorrhage, myelofibrosis, and acute myeloid leukemia. Based on individual risk factors for thrombosis, persons with essential thrombocythemia may be treated with low-dose aspirin, either alone or in combination with a cytoreductive drug such as hydroxyurea.

Background An increased risk of second cancers (SC), in patients with myeloproliferative neoplasms (MPN), has been suggested by a number of population-based and cancer registry studies (Blood 2011;118:6515). Such studies often included patients belonging to a broad category of MPN entities and did not always account for history of cancer prior to the diagnosis of MPN, associated comorbidities, mutations, or treatments received, in assessing risk association and prediction (Leukemia 2019;33:1996). The current study seeks to fill knowledge gaps, in this regard, in the context of a biologically more homogeneous MPN setting, vis-ẚ-vis polycythemia vera (PV) and essential thrombocythemia (ET). Methods The present study was conducted under an institutional review board approved minimum risk protocol that allowed retrospective collection and analysis of data from Mayo Clinic patient records. Diagnostic criteria were according to the International Consensus Classification (Blood 2022; 140:1200). Documented primary cancers were annotated in 17 categories, not including pre-cancerous conditions or MPN progressions. SC was defined as any cancer that developed after 3 months from the initial diagnosis of MPN. Cox proportional hazard regression model was used for univariable and multivariable analysis. Kaplan-Meier plots were used for time-to-event assessment (considering the first in case of multiple events). Results The study population included 1,968 consecutive patients (median age 60 years; 56% females) with PV (N=1,001) or ET (N=967), seen at the Mayo Clinic between 1970 and 2024. Median follow-up was 8.6 years. The incidences of arterial/venous thrombosis were14%/12% at diagnosis and 12%/10% after diagnosis. Co-morbid conditions included diabetes (12%), hypertension (52%), tobacco use (16%), and history of autoimmune/inflammatory disease (AID; 6%); hyperlipidemia was annotated in PV cases only (51%). Non-driver mutation information was available in 620 patients: TET2 (13%), ASXL1 (7%), DNMT3A (5%), SRSF2 (3%), SF3B1 (3%) and TP53 (2%). A history of another cancer was documented in 598 (30%) patients and included cancers documented before/at (N=291; 15%) or after (N=404; 20%) the diagnosis of MPN, with only the latter being referred to as “SC”. Most frequent cancer type was non-melanoma skin cancer (NMSC), accounting for 28% of cancers diagnosed before/at MPN, and 47% of SC; other SC types included lymphoid neoplasms (10%), melanoma (10%), prostate cancer (9%), and trachea/lung/bronchial cancer (8%), as the most frequent. On multivariable analysis, cancer history, before/at or after MPN diagnosis, clustered with age &gt;60 years (OR 2.7), male sex (OR 1.5), and history of AID (OR 1.7). History of cancer prior to MPN diagnosis, NMSC or otherwise, was associated with inferior overall survival (p&lt;0.01); by contrast, neither myelofibrosis-free (p=0.5) nor leukemia-free (p=0.8) survival was affected. Median time from MPN diagnosis to SC was 5.7 years. In multivariable analysis including all cancers, SC-free survival was adversely affected by age&gt;60 years (HR 2.5; p&lt;0.01), male sex (HR 1.7; p&lt;0.01), history of previous cancer (HR 2.5, p&lt;0.01), and AID history (HR 1.6; p&lt;0.01); all these 4 risk factors remained significant after excluding NMSC. Interestingly, among informative cases, SRSF2 mutation also predicted SC (HR 2.6; p=0.02), even after NMSC cases were excluded (HR 3.4; p=0.02). Pre-MPN history of cancer did not affect either arterial (p=0.9) or venous thrombosis-free survival (p=0.7), in age- and sex-adjusted analysis. Conversely, after excluding post-SC thrombotic events, venous (p=0.02) but not arterial (p=0.1) events, occurring after MPN diagnosis, were predictive of SC. This association remained significant in multivariable analysis that included age, sex, and venous thrombosis history (p=0.03). Additional observations from this study, include an independent association between SC and hyperlipidemia in PV (p&lt;0.01) and ruxolitinib monotherapy with NMSC (HR 9; p&lt;0.01). Conclusions The risk of SC in patients with MPN is significantly higher in older patients, men, and in the presence of pre-MPN cancer history and AID. Incidental venous, but not arterial, thrombosis was associated with subsequent SC, not NMSC. The observed association of SC with SRSF2 mutations and hyperlipidemia is noted but requires further validation.