Tefferi, Ayalew

Abstract Introduction: The 5th edition of the World Health Organization (WHO-5) and the International Consensus Classification (ICC) recognize TP53-mutated myeloid neoplasms (MN) as a distinct disease category, reflecting their uniformly dismal outcomes and the urgent need for novel therapeutic strategies. However, both classifications do not include TP53-non-mutatedcases with 17p (TP53 locus) loss, despite emerging evidence that such lesions may confer biologic and clinical behaviour similar to TP53-mutated disease. Our preliminary work demonstrated that 17p loss without TP53 mutation in therapy-related MN (t-MN) is associated with poor survival, approximating that of TP53-mutated cases (Hiwase et al., Blood 2023). Yet, the true frequency and prognostic impact of 17p loss in TP53-non-mutatedMN remains largely undefined, representing a critical gap in current disease classification and risk stratification. To address this critical knowledge gap, we aim to define the frequency and prognostic impact of 17p loss across the TP53 locus in TP53-non-mutatedMN, including both myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Finally, we compared the survival outcomes of this cohort with those of TP53-mutated MN. Method This international collaborative study was designed to evaluate the frequency and prognostic significance of 17p loss in TP53-non-mutatedMN. We included MDS and AML patients who had conventional cytogenetic analysis and did not have TP53-mutation(TP53-non-mutated)by next-generation sequencing (NGS) with sensitivity of ≥2% variant allele frequency (VAF). These cases were systematically reviewed for 17p loss using karyotype data, and where available, fluorescence in situ hybridization (FISH) and SNP array were used to confirm the 17p/TP53 locus deletion. To assess the clinical impact, we compared the overall survival (OS) of TP53-non-mutatedcases with 17p loss against a reference cohort of TP53-mutated MNs with VAF ≥2% (n=603) (South Australian Myeloid Neoplasm Registry (SA-MN) and Mayo Clinic, Rochester, USA). Results We screened 8876 cases of TP53-non-mutatedMN cases across an international cohort comprising the SA-MN (Australia; n=1046), the Düsseldorf MDS Registry (Germany; n=545), Munich Leukaemia Laboratory (Germany; n=5785), and King's College Hospital, (United Kingdom; n=1500). We identified 85 (1%) cases with 17p loss across the TP53 locus, representing the largest international cohort to define the frequency of 17p loss in TP53-non-mutatedMN. Complex karyotype was present in 40% (n=34) of cases, frequently co-occurring with del(5q) and del(7q). Clinically, most cases were MDS (n=69; 81.2%), including MDS-IB1 (n=19), MDS-IB2 (n=15), MDS-LB (n=16), t-MDS (n=8), MDS/MPN overlap (n=3), CCUS (n=1), or unspecified MDS (n=7), while AML accounted for 16 cases (18.8%). Among evaluable cases, the majority were male (78.6%) and had a median age of 66.5 years at diagnosis. The most frequent cytogenetic abnormality causing 17p loss across the TP53 locus was monosomy 17 (39%), followed by i(17q) (29%), add (17p) (14%), derivative chromosome 17 from unbalanced translocations (11%), and del(17p) (7%). The majority represented de-novo MN (60%), with t-MN in 40% of cases. Median OS of evaluable 17p loss in TP53-non-mutatedcases (n=28; 10.2 months) was poor and comparable to TP53-mutated MN (n=603, 8.7 months; P=0.42). Similarly, survival censored for a stem cell transplant was also equally poor (10.4 vs. 8.7 months; P=0.34) in both groups. Complex vs. non-complex karyotype (7.7 vs. 10.7 months; P=0.68) did not significantly influence the OS of 17p loss. Median OS of MDS cases tended to be longer compared to AML (16.7 vs. 9.1 months; P=0.11), although not statistically significant. Conclusion: In this largest international study, 1% of TP53-non-mutatedMNs harbor 17p loss across the TP53 locus, displaying poor survival equivalent to TP53-mutated disease. Exclusive reliance on NGS to identify TP53 mutations misses these high-risk structural TP53 abnormalities, which are readily detectable by conventional karyotyping. These findings provide compelling evidence to include TP53-non-mutatedcases with 17p loss in the next revision of the classifications, enabling accurate prognostication and equitable access to curative and clinical trials of novel therapies.

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.

Background: Previously published risk variables for chronic myelomonocytic leukemia (CMML) included age, gender, CMML subtype, red blood cell (RBC) transfusion status, hemoglobin, leukocyte, monocyte, lymphocyte and platelet counts, immature myeloid cells, peripheral blood (PB) or bone marrow blast percentage, and mutations including ASXL1, RUNX1, NRAS, and SETBP1. Recent studies have reported on additional prognostically favorable (TET2) or unfavorable (DNMT3A, ASXL1, NRAS, SETBP1) mutations. In the current study, we took advantage of a clinically well-characterized and molecularly annotated cohort of CMML patients, in order to revisit the prognostic interaction between the aforementioned risk factors, with emphasis on mutations. Methods: The current study was conducted under an institutional review board approved protocol that allowed retrospective collection and analysis of data from Mayo Clinic patient records. Mutations were screened by multi-gene next-generation sequencing (NGS). Diagnostic criteria were according to the International Consensus Classification (Blood 2022; 140:1200). Conventional statistical methods were employed (JMP Pro 17.0.0 software SAS Institute, Cary, NC, USA). Survival analysis was censored for allogeneic stem cell transplantation (ASCT). Receiver Operating Characteristic (ROC) plots and Akaike Information Criterion (AIC) were used to compare predictive performance of the new model (MMMv2) vs. the Mayo Molecular Model (MMM) vs. the CMML-specific prognostic scoring system (CPSS). Results: The study cohort included 416 patients with CMML that were fully annotated for mutations. Cytogenetic information was available in 404 patients. At a median follow-up of 18 months, 302 (72%) deaths, 72 (18%) leukemic transformations, and 44 (11%) ASCTs were documented. Age-adjusted multivariable analysis (MVA) of mutations identified the following as risk factors: DNMT3A (HR 5.5; p<0.01), PHF6 (HR 0.3; p<0.01), TET2 (HR 0.6; p<0.01), PTPN11 (HR 2.5; p=0.01), NRAS (HR 1.6; p<0.01), ASXL1 (HR 1.3; p=0.02), and SETBP1 (HR 1.8; p=0.01). A separate MVA of clinical and cytogenetic variables identified RBC transfusion need, leukocyte count ≥13 x 109/L, peripheral blood blast ≥1%, abnormal karyotype, older age, and male sex to be independently associated with inferior survival (p<0.04 in all instances). All-inclusive MVA identified the following as independent risk factors for survival (p <0.01): DNMT3A mutation (HR 3.7; 95% CI 2.0-6.7), absence of PHF6 mutation (HR 2.8; 1.3-5.8), RBC transfusion need (HR 2.3; 1.7-3.1), leukocyte count ≥13 x 109/L (HR 2.0; 1.5-2.6), abnormal karyotype (HR 1.6; 1.2-2.2), and absence of TET2 mutation (HR 1.4,1.1-1.8). An HR based prognostic model was subsequently constructed by assigning 3 points to DNMT3A mutation, 2 points each for RBC transfusion need, leukocyte count ≥13 x 109/L, and absence of PHF6 mutation and one point each for abnormal karyotype and absence of TET2 mutation, resulting in a 4-tiered survival risk model (MMMv2): low risk (0-2 points; N=103) with median survival of 74 months; intermediate-1 (3 points; N=65) with median 37 months; intermediate-2 (4-5 points; N=126) with median 19 months; and high (6 points; N=88) with median 12 months (p<0.01). Independent genetic risk factors associated with inferior leukemia-free survival included DNMT3A (HR 5.5), PHF6 (HR 0.2), abnormal karyotype (HR 2.0), PTPN11 (HR 5.2), ASXL1 (HR 2.0), and BCOR (HR 8.7). Leukocyte count ≥13 x 109/L (p=0.01) but not RBC transfusion need (p=0.2) was additionally significant. However, presence of immature myeloid cells (p<0.01) and circulating blasts ≥1% (p<0.01) were prognostically more relevant than leukocyte count ≥13 x 109/L and independently predicted leukemic transformation, along with DNMT3A, PTPN11 and ASXL1 mutations. Predictive performance was superior for MMMv2 (AUC 87, AIC 137) vs. MMM (AUC 74, AIC 194) vs. CPSS (AUC 76, AIC 177). Conclusion: The revised Mayo Molecular Model (MMMv2) provides a contemporary risk model for CMML that recognizes DNMT3A as the most unfavorable and PHF6 as the most favorable mutation and confirms the mutation-independent prognostic contribution from red cell transfusion need and sustained leukocytosis (≥13 x 109/L). Mutations were also important in predicting leukemic transformation, notably DNMT3A, PTPN11 and ASXL1.