Pardanani, Animesh

Abstract Background Red blood cell distribution width (RDW) is an easily accessible diagnostic test that is underutilized as a prognostic marker, despite substantial supporting evidence in cancer, cardiovascular diseases, and helathy individuals (Pilling et al. PLoS One 2028;13:e0203504). The association between increased RDW and incident acute myeloid leukemia (AML) has long been suggested in healthy volunteers (Abelson et al. Nature 2019;559:400). We looked into a similar phenomenon in patients with polycythemia vera (PV) or essential thrombocythemia (ET) in large discovery and validation cohorts. Methods A machine learning (ML) approach was used to identify baseline clinical and laboratory parameters that were predictive of leukemic transformation (LT) and develop a predictive model in a large discovery cohort of PV and ET, obtained from electronic medical records of the Maccabi Healthcare Services (MHS; Tel-Aviv, Israel). Receiver operating characteristic (ROC) curve analysis was utilized to determine the optimal cutoff points for RDW and other continuous variables. Mayo Clinic databases (Rochester, MN, USA) for patients with PV and ET were utilized as validation cohorts. Identification of study patients in the latter was according to the International Consensus Classification (Arber et al. Blood 2022; 140:1200) while in the discovery cohort was based on presence of ICD-9 codes associated with documentation of disease-specific driver mutations or treatment records that are consistent. Statistical analyses were performed using the R statistical software 4.4.2 (November, 2024) (Foundation for Statistical Computing, Vienna, Austria) or JMP Pro 18.0.0 software (SAS Institute, Cary, NC, USA). Results The discovery cohorts from Israel included 4,592 patients with PV (median age 63 yesrs; 53% males) and 5,968 with ET (median age 61 yesrs; males 40%). The validation cohorts from the Mayo Clinic included 633 PV (median 65 years; 51% males) and 634 ET (median 60 years; females 64%) patients that were informative for RDW. In the discovery cohorts, median follow-up (incident AML) was 6.1 years (N=186; 4.1%) in PV and 6.1 years (N=85; 1.4%) in ET. The corresponding values for the validation cohorts were 6.6 years (N=24; 3.8%) in PV and 7.0 years (N=22; 3.5%) in ET. Discovery cohort analyses Covariate-adjusted Cox regression analysis was utilized to estimate associations between LT and several clinical variables followed by machine learning pipeline to predict LT in a given timeframe. Conversion from continuous to binary variables was accompliched by ROC analysis. Shapley Additive exPlanations (SHAP) application enabled selection of top-ranked features that included RDW >15.5 (HR 3.2, 1.1-9.5; p=0.03), age >60 years (HR 2.9, 1.4-5.9; p<0.01), and LDH >1.5 x UNL (HR 4.0 (1.6-10.0; p<0.01). A similar analysis in ET also identified RDW >15.5 (p<0.01), age >60 years (p=0.01) as well as male sex (p=0.03) as independent risk factors for LT. Subseqent risk models based on these risk factors were externally validated and enabled robust risk stratification with 10-20 year AUCs rangening from 0.75 to 0.81. Validation cohorts analyses The indpendent predictive value of increased RDW observed in the discovery cohort was confirmed in the validation cohorts for both PV and ET and further gender-specified: female/male RDW ≥16.4/15.8 in PV (HR 7.9, 1.9-33.8) and ≥16.1/14.4 in ET (HR 5.1, 2.2-11.9). Also confirmed were the additional prognostic contributions of age ≥60 years (HR 3.8, 1.3-10.9) and LDH >1.5 x UNL (HR 3.9, 1.6-9.4), in PV, while no other clinical risk factor showed RDW-independent prognostic relevance in ET. The prognostic impact of RDW in ET was most apparent in females (p<0.01), as opposed to males (p=0.32) while the effect was equally significant in PV. In multivariable analysis that included previously recognized high risk mutations in PV (SRSF2) and ET (SF3B1), both RDW and mutations sustained significance (p<0.05). Conclusion The current study identifies higher RDW as a key risk factor for LT in both PV and ET, independent of other clinical or genetic risk factors. Possible underlying mechanisms include increased RDW as a marker of long-term pre-leukemic clones with sub-clinical ineffective erythropoiesis or an associated pro-leukemic inflammatory state.

Abstract Background Although myeloproliferative neoplasm-unclassifiable (MPN-U) stands as a distinct entity in the International Consensus Classification (ICC) for myeloproliferative neoplasms, its diagnosis and management remain challenging due to the overlapping clinico-pathological characteristics with other MPNs. In the current study, we describe a well-defined cohort of patients with MPN-U and compare their presentation and outcome with those of a separate cohort with essential thrombocythemia (ET). Methods Diagnostic criteria were according to the ICC (Blood 2022; 140:1200). Non-driver mutations were screened by next-generation sequencing (NGS) and were available for subsets of patients with MPN-U or ET. Conventional statistical methods were employed, using JMP Pro 18.0.0 software SAS Institute, Cary, NC, USA. Results Thirty Mayo Clinic patients who met the ICC criteria for MPN-U (median age 64 years; range 33-94; 60% males) and 658 with ET (median age 60 years; range 18-90; 36% males) were included in the current study. Table 1 outlines a comparative list of presenting characteristics (including mutations), clinical outcomes, and treatment details between patients with MPN-U vs. ET. JAK2 mutations were significantly more prevalent in MPN-U cohort (87% vs. 63% in ET; p<0.01) and CALR mutations less common (3% vs. 25%; p<0.01). Other somatic mutations, including ASXL1, SRSF2, and EZH2 were more frequently observed in the MPN-U group (p<0.05 in all). Abnormal karyotype was reported in 14% of patients with MPN-U vs. 8% with ET (p=0.3). Compared to patients with ET, those with MPN-U were more likely to be males (60% vs. 36%; p<0.01) and, as expected from disease presentation and indications for diagnostic work up of suspected cases, present with venous thrombosis (43% vs. 10%; p<0.01) and palpable splenomegaly (40% vs. 8.5%; p<0.01). Similarly, they were less likely to display thrombocytosis or leukocytosis (p<0.01 for both). Portal, superior mesenteric, and hepatic vein thromboses constituted 77% (vs. 27% in ET; p<0.01) of the venous events in MPN-U; in contrast, the incidences of pre-diagnosis arterial events were similar between the two groups (10% vs. 12%; p=0.7). At a median follow-up of 2.8 years in the MPN-U cohort, 6 (20%) deaths and 1 (3%) leukemic transformation were documented while 3 (10%) patients progressed to meet the diagnostic criteria for polycythemia vera. Four (13%) patients with MPN-U experienced venous thrombo-embolic events (VTEs) including 2 with recurrent VTEs, despite active therapy with systemic anticoagulation and aspirin. The ET cohort was followed for a median of 7.3 years with 161 (24%) deaths, 23 (3%) leukemic transformations, and 66 (10%) VTEs. Among the latter, 27 (41%) had recurrent episodes despite treatment with systemic anticoagulation, aspirin, and/or cytoreductive drugs. Notably, patients with MPN-U were less likely to receive aspirin and cytoreductive therapy during the clinical course (77% vs. 91% and 37% vs. 79%; p<0.01 for both, respectively). Long-term survival rates were similar between MPN-U and ET (15-year survival 70% vs. 65%; p=0.1). Consistent with previous associations seen in ET, patients with JAK2-mutated MPN-U were more likely to be males (58% vs. 30%; p<0.01, Table 2), and display a lower platelet and leukocyte count at the time of diagnosis (p<0.01 for both). These patients were also more likely to present with venous thrombosis (50% vs. 12% in JAK2 wild-type cases; p<0.01) and palpable splenomegaly (46% vs. 9%; p<0.01). Of note, the incidences of pre- and post-diagnosis arterial and post-diagnosis venous events were similar between JAK2-mutated MPN-U vs. JAK2-mutated ET patients (12% vs. 14%; p=0.7, 4% vs. 12.5%; p=0.1, and 15% vs. 12%, p=0.6, respectively). Similarly, long-term outcomes including deaths (15% vs. 26%; p=0.2), leukemic transformations (4% vs. 4%; p=0.9), and 15-year survival rates (78% vs. 60%; p=0.9) were also comparable between the two groups. Conclusion The findings from the current study were not unexpected and underline the ongoing challenges that face formal classification systems in formulating accurate diagnostic criteria for patients with MPN-U whose clinical presentation is biased by disease definitions. Regardless, it is comforting to document a favorable long-term outcome that appeared to be similar to that of ET while venous thrombosis remains a treatment challenge in both groups.

Abstract Introduction: Only 30% of patients (pts) presenting with abnormal bleeding symptoms receive a clear diagnosis, with many classified as having bleeding disorder of unknown cause, or BDUC (Baker et al. 2021). Currently, the recommended diagnostic workup for BDUC by the International Society on Thrombosis and Haemostasis (ISTH) includes plasmatic assays for coagulation factors, von Willebrand factor (vWF) antigen/activity, and platelet function testing (PFT), specifically platelet function analyzer-100 (PFA-100) and light transmission aggregometry (LTA). However, PFTs are not widely available and cannot be mailed to reference laboratories. We studied the diagnostic yield of an expanded testing panel which includes quantitative platelet glycoprotein flow cytometry (GpFL) and platelet electron microscopy (PTEM), which we have optimized for specimen mailing. Methods: We conducted a minimal risk, retrospective study by reviewing the electronic health records of pts (18 years and older) who were seen in the Coagulation Clinic of a tertiary academic medical center for evaluation of a bleeding disorder between October 2017 and June 2025. Testing included plasma-based assays including PT, APTT, vWF assay, FVIII, FIX, FXIII screen, and thrombin time (and additional reflex assays as needed). At the discretion of the treating clinician, PFTs (PFA-100 and LTA), GpFL, PTEM, and fibrinolysis assays (plasminogen activator inhibitor-1 antigen [PAI-1 Ag] and alpha-2 plasmin inhibitor) were included. We abstracted clinical data on pt demographics, ISTH bleeding scores, and the results of coagulation testing. Pts with an established diagnosis of a bleeding disorder, underlying malignancy, and those who did not have plasma-based coagulation testing were excluded from this study. Results: 109 pts met study criteria, and 82.6% were females (n = 90) with a median age of 45 years (range = 18-88 years). The median ISTH-BAT score was 7 (range: 2-21). About half of the pts, 49.5% (n = 54), had normal coagulation profiles and PFTs. All 54 had PTEM performed, of which 14.8% (n = 8) were abnormal (alpha and/or dense granule deficiencies). 85.2% (n = 46) had GpFL testing performed, with one showing reduced Gp2b/CD42 and Gp3a/CD61 expression, four showing reduced Gp1a/CD49b expression, and three showing reduced GpVI expression. Half of the pts, 50.5% (n = 55) had an abnormal coagulation profile from plasma and/or PFTs, of which 20% (n = 11) had a clinically significant coagulation factor deficiency (FV, FVII, FX). Roughly 9.1% (n = 5) had type 1 vWD of which 1 also had PAI-1 deficiency. One pt had isolated PAI-1 deficiency. Abnormal coagulation profiles were noted in 53 pts who had PFA-100 and LTA done, and both tests were normal in 22.6% (n = 12). Within the abnormal coagulation profile group, 10.9% (n = 6) had ultrastructural abnormalities on PTEM (dense and alpha granule abnormalities). Majority of the pts (n = 46) had GpFL done, and one had abnormal reductions in Gp1b-aCD42b, three in Gp1aCD49b, and seven in GPVI. Comparison of the ISTH BAT score between the normal and abnormal coagulation profiles/PFTs groups by non-parametric (Mann-Whitney U test) and parametric (Welch's t-test) showed no significant difference (p = 0.56 and p = 0.87) respectively. Conclusion: In this cohort of pts with abnormal bleeding, standard recommended testing resulted in a diagnosis in 66.4% pts. The remainder would have been classified as BDUC. The addition of GpFL and PTEM resulted in establishing a diagnosis that explains the bleeding phenotype in 14.8% of pts with an otherwise normal coagulation profile and PFT. Although abnormal PFTs indicate a platelet function defect, GpFL and PTEM may further define the abnormalities particularly differentiating syndromic from non-syndromic inherited platelet disorders. Additional studies are needed to confirm our findings and explore the possibility of addition of GpFL and PTEM for patients with BDUC.

Abstract Background: JAK2-unmutated erythrocytosis constitutes a spectrum of hereditary and acquired entities. We assessed the diagnostic yield and utility of next generation sequencing panel for hereditary erythrocytosis (NGS-HEP) in adults with JAK2-unmutated and otherwise unexplained erythrocytosis (OUE). Additionally, we describe the clinical phenotype, genetic findings, treatment approaches, and thrombotic outcomes in this cohort. Methods: Adults (≥18 years) withOUE, defined as hemoglobin (Hgb) >16.5 g/dL or hematocrit (Hct) >49% in males and Hgb >16 g/dL or Hct > 48% in females, negative for JAK2 exon 12-15mutations, absence of acquired cause, and high-oxygen affinity variants, underwent NGS-HEP; the gene panel included ACO1, ANKRD26, BHLHE41, BPGM, CYB5A, CYB5R3, EGLN1, EGLN2, EGLN3, EPAS1, EPO, EPOR, GFI1B, HIF1A, HIF1AN, HIF3A, JAK2, KDM6A, PFKM, PIEZO1, PKLR, SH2B3, SOCS3 and VHL, including deletion/duplication analysis.Variant curation was performed using ACMG-AMP guidelines and classified as pathogenic or variants of uncertain significance (VUS). Family and thrombosis history, and symptoms were recorded. Results: A total of 44 adult patients with JAK2-unmutated OUE (median age 48 years, range 21–79; 34 males [77%]) underwent NGS-HEP at the Mayo Clinic between March 2023 and June 2025. Variants were identified in 27 patients (61%), with a single variant detected in 19 (70%) and two distinct variants in 8 (30%). 26 variants (96%) were classified as heterozygous VUS and involved PIEZO1 (n=9, 20%; median variant allele frequency [VAF] 47.1%), HIF1A (n=8, 18%;46.2%), ANKRD26 (n=4, 9%;43.7%), SH2B3 (n=3, 7%; 49.9%), HIF3A (n=3, 7%;51.4%), EGLN2 (n=2, 5%;47.9%), BPGM (n=1, 2%; 50.4%), VHL (n=1, 2%; 41.8%), EPO (n=1, 2%; 45.4%) and BHLHE41 (n=1, 2%; 54.2%), while a pathogenic mutation in PKLR was detected in one patient. Presenting median Hgb/Hct values for males and females, respectively were 18.3 g/dL/53.5% and 16.9 g/dl/51.2% in variant- positive cases, and 17.8 g/dl/53.1% and 16.1 g/dl/49.3% in variant-negative cases (p>0.05). Median serum erythropoietin (sEpo) levels were 8.35 mIU/mL (range: <1-52.9) vs 8.8 mIU/mL (range: 1.6-54.7), respectively (p=0.67). Notably, sEpo was < 1 mIU/mL in a patient with ANKRD26/HIF3A VUS. Family history of erythrocytosis was documented in 5 patients (11%). Hyperviscosity-related symptoms were reported in 24 patients (55%), with no significant difference in prevalence between variant-positive and variant-negative cases (59% vs 47% p=0.42). Also, there was no significant association between the presence of symptoms and Hgb or Hct levels (p>0.05). Eight thrombotic events occurred in 7 patients (16%; median age 44 years; 71% males; 4 arterial and 4 venous; 3 provoked deep venous thromboses). Five (71%) of the 7 patients harbored VUS in PIEZO1, PIEZO1/HIF1A, ANKRD26, SH2B3, or BHLHE41. Notably, two younger male patients experienced arterial events in the absence of identifiable risk factors: a 32-year-old with PIEZO1/HIF1A VUS (VAF 46.2%/47.6%; sEpo 10.3 mIU/mL) suffered a myocardial infarction, and a 35-year-old with SH2B3 VUS (VAF 50.2%; sEpo 3.7 mIU/mL) had recurrent cerebrovascular accident despite phlebotomy, aspirin and apixaban. Overall, there was no significant association between thrombosis and the presence of a variant (19% in variant-positive vs 12% in variant-negative, p=0.54). Active therapies included phlebotomy in 22 patients (50%), antiplatelet agents in 23 (52%), systemic anticoagulation in 5 (11%), and hydroxyurea in one patient (2%). Among those who received phlebotomy, 10 patients (45%) reported improvement in symptoms, however, symptom relief did not correlate with Hgb or Hct levels (p>0.05). A separate analysis of 9 patients with heterozygous PIEZO1 VUS, none of whom had undergone splenectomy, showed a numerically higher incidence of symptoms (67% vs 51%) and thrombosis (22% vs 14%) compared to those without PEIZO1 variants, although the differences were not statistically significant (p>0.05). Conclusion: NGS-HEP yielded a molecular diagnosis in 61% of adults with JAK2-unmutated and OUE with heterozygous PIEZO1 variants being the most frequent. No consistent association was observed between variant status and presence of hyperviscosity-related symptoms or thrombotic events. These findings underscore the importance of NGS-HEP testing in the diagnostic workup of JAK2-unmutated and OUE and continued investigation into novel candidate genes.

Abstract Objective Gastrointestinal (GI) symptoms are common in systemic mastocytosis (SM). We hereby report the clinicopathologic and molecular features of GI mastocytosis. Methods The study includes 104 patients with suspected SM. Of 258 GI biopsy ­specimens, 33 (20 patients, 19%) were mastocytosis-positive, with 19 (16 patients) initially missed. Results Tryptase (n = 29) was weakly positive/negative in two-thirds of the mastocytosis-positive GI biopsy specimens. Additional immunohistochemistry (n = 23) showed positive mast cell expression for CD30 (n = 2), CD123 (n = 7), and PD-L1 (n = 12), as well as increased PD-1–positive cells (n = 4). Sixty patients had positive bone marrow (BM) for SM (SM-BM+), including 19 with positive GI biopsy specimens (SM-GI+). Almost all (43/44) SM-BM– patients were SM-GI–. The SM-GI vs SM-BM status showed high positive predictive value (95%) and specificity (98%). Patients with SM with mastocytosis-positive vs mastocytosis-negative GI biopsy specimens had higher serum tryptase levels (P = .04). KIT D816V mutation was detected in 7 of 13 and 12 of 13 mastocytosis-positive GI biopsy specimens using allele-specific polymerase chain reaction and droplet digital polymerase chain reaction (ddPCR), respectively. Conclusions GI mastocytosis is highly predictive of SM in BM; however, most SM-BM+ patients are SM-GI–. The SM-BM– patients are very unlikely to be SM-GI+. Because GI neoplastic mast cells are often tryptase negative, diagnostic evaluation should include CD117 and CD25 immunohistochemistry, as well as KIT D816V mutation analysis by ddPCR as needed.

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.