Citations

ABSTRACT Disease Overview JAK2 unmutated erythrocytosis encompasses a heterogeneous spectrum of hereditary and acquired entities. Diagnosis The foremost step is excluding polycythemia vera (PV) with JAK2 mutation screening (exons 12–15). Apparent polycythemia such as physiological outliers or relative polycythemia secondary to volume contraction should be considered. A historical overview of hematocrit (Hct) and hemoglobin (Hgb) levels helps distinguish longstanding from acquired erythrocytosis. Serum erythropoietin (Epo) levels are variably informative. Hereditary Erythrocytosis Hereditary erythrocytosis should be considered in longstanding erythrocytosis with a positive family history; causes include EPOR mutations (subnormal Epo), high oxygen affinity hemoglobin variants, PIEZO1 mutations, 2,3‐bisphosphoglycerate deficiency, methemoglobinemia, and germline oxygen sensing pathway mutations ( HIF2A ‐ PHD2 ‐ VHL ). Acquired Erythrocytosis Acquired erythrocytosis results from central (cardiopulmonary disease) or peripheral (renal artery stenosis) hypoxia, Epo‐producing tumors (renal cell carcinoma) or drugs (testosterone, sodium glucose co‐transporter‐2 inhibitors (SGLT2‐i), erythropoiesis stimulating agents). Idiopathic Erythrocytosis Idiopathic erythrocytosis is an ill‐defined terminology that presumes the existence of an increased Hgb/Hct level without an identifiable etiology. Management Cytoreductive therapy should be avoided. Phlebotomy should be considered for symptom control. Cardiovascular risk optimization and low‐dose aspirin are advised, while the role of HIF2A inhibitors remains unclear. Recent Advances EPO mutations which produce hyperactive, hepatic‐like Epo were identified. In cases with negative workup but high clinical suspicion, an expanded next generation sequencing panel for hereditary erythrocytosis is recommended. Among drugs, SGLT2‐i‐associated erythrocytosis is increasingly recognized. Future Directions Advances in molecular hematology are expected to improve the characterization of “idiopathic erythrocytosis”. Results from prospective studies are needed to elucidate the underlying pathology and guide management.

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 RAS pathway (RASp) mutations induce proliferative features, and promote transformation in chronic myelomonocytic leukemia (CMML). However, the unique clonal landscape and hierarchy of distinct RASp mutations remain unexplored. To characterize the landscape, architecture, and implications of unique RASp mutations in CMML, we evaluated a cohort of 814 patients with CMML. We identified 461 RASp mutations among 342 patients (42%). N/KRAS and CBL mutations were the most common, frequently involved the P-loop or RING domains, respectively, and frequently appeared as dominant events (63% and 65%, respectively). BRAF, NF1, and PTPN11 mutations spanned throughout the gene structure, and frequently appeared as subclonal events (75%, 64%, and 59%, respectively). CBL mutations frequently occurred in codominance with SRSF2 and multihit TET2, and were enriched for KIT mutations. PTPN11 mutations more frequently co-occurred with SETBP1 and DNMT3A mutations, and were infrequently codominant with TET2 or ASXL1. RASp mutations predicted for shorter overall survival (hazard ratio [HR], 1.55; 95% confidence interval [CI], 1.15-2.07; P = .0075) and leukemia-free survival (LFS; HR, 1.67; 95% CI, 1.26-2.20; P = .0011), influenced outcomes of myelodysplastic and TET2 mutant CMML, and cooperated with IDH2 and RUNX1 mutations to induce shorter LFS. These data set the bases for refined genomic classifications of CMML, and underscore the need to develop RAS-directed therapies for patients with CMML.