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Tefferi A, Fathima S, Alsugair AKA, Aperna F, Natu A, Abdelmagid MG, Csizmar CM, Gurney M, Lasho TL, Finke CM, Mangaonkar AA, Al-Kali A, Pardanani A, Reichard KK, He R, Gangat N, Patnaik MM. PHF6 mutations in chronic myelomonocytic leukemia identify a unique subset of patients with distinct phenotype and superior prognosis. Am J Hematol 2024; 99:2321-2327. [PMID: 39329442 DOI: 10.1002/ajh.27492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Accepted: 09/19/2024] [Indexed: 09/28/2024]
Abstract
The 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.
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Affiliation(s)
- Ayalew Tefferi
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | - Saubia Fathima
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Fnu Aperna
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | - Anuya Natu
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | - Mark Gurney
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | - Terra L Lasho
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | - Christy M Finke
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Aref Al-Kali
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Kaaren K Reichard
- Department of Laboratory Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Rong He
- Department of Laboratory Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Naseema Gangat
- Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA
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Csizmar CM, Gurney M, Kanagal-Shamanna R, Chien K, Hammond D, Lasho TL, Finke CM, Dean C, Natu A, Mangaonkar AA, Al-Kali A, Gangat N, Tefferi A, Alkhateeb H, Garcia-Manero G, Komrokji RS, Ali NA, Padron E, Montalban-Bravo G, Patnaik MM. ASXL1/TET2 genotype-based risk stratification outperforms ASXL1 mutational impact and is independent of mutant variant allele fractions in chronic myelomonocytic leukemia. Haematologica 2024; 109:3419-3425. [PMID: 38899337 PMCID: PMC11443373 DOI: 10.3324/haematol.2024.285410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Indexed: 06/21/2024] Open
Affiliation(s)
- Clifford M Csizmar
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Mark Gurney
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kelly Chien
- Division of Cancer Medicine, Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Danielle Hammond
- Division of Cancer Medicine, Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Terra L Lasho
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Christy M Finke
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Christopher Dean
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Anuya Natu
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | | | - Aref Al-Kali
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Naseema Gangat
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Ayalew Tefferi
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Hassan Alkhateeb
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Guillermo Garcia-Manero
- Division of Cancer Medicine, Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Rami S Komrokji
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center, Tampa, FL
| | - Najla A Ali
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center, Tampa, FL
| | - Eric Padron
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center, Tampa, FL
| | - Guillermo Montalban-Bravo
- Division of Cancer Medicine, Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Mrinal M Patnaik
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.
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Patnaik MM, Tefferi A. Chronic myelomonocytic leukemia: 2024 update on diagnosis, risk stratification and management. Am J Hematol 2024; 99:1142-1165. [PMID: 38450850 PMCID: PMC11096042 DOI: 10.1002/ajh.27271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 03/08/2024]
Abstract
DISEASE OVERVIEW Chronic myelomonocytic leukemia (CMML) is a clonal hematopoietic stem cell disorder with overlapping features of myelodysplastic syndromes and myeloproliferative neoplasms, characterized by prominent monocytosis and an inherent risk for leukemic transformation (~15%-20% over 3-5 years). DIAGNOSIS Newly revised diagnostic criteria include sustained (>3 months) peripheral blood (PB) monocytosis (≥0.5 × 109/L; monocytes ≥10% of leukocyte count), consistent bone marrow (BM) morphology, <20% BM or PB blasts (including promonocytes), and cytogenetic or molecular evidence of clonality. Cytogenetic abnormalities occur in ~30% of patients, while >95% harbor somatic mutations: TET2 (~60%), SRSF2 (~50%), ASXL1 (~40%), RAS pathway (~30%), and others. The presence of ASXL1 and DNMT3A mutations and absence of TET2 mutations negatively impact overall survival (ASXL1WT/TET2MT genotype being favorable). RISK STRATIFICATION Several risk models serve similar purposes in identifying high-risk patients that are considered for allogeneic stem cell transplant (ASCT) earlier than later. Risk factors in the Mayo Molecular Model (MMM) include presence of truncating ASXL1 mutations, absolute monocyte count >10 × 109/L, hemoglobin <10 g/dL, platelet count <100 × 109/L, and the presence of circulating immature myeloid cells; the resulting 4-tiered risk categorization includes high (≥3 risk factors), intermediate-2 (2 risk factors), intermediate-1 (1 risk factor), and low (no risk factors); the corresponding median survivals were 16, 31, 59, and 97 months. CMML is also classified as being "myeloproliferative (MP-CMML)" or "myelodysplastic (MD-CMML)," based on the presence or absence of leukocyte count of ≥13 × 109/L. TREATMENT ASCT is the only treatment modality that secures cure or long-term survival and is appropriate for MMM high/intermediate-2 risk disease. Drug therapy is currently not disease-modifying and includes hydroxyurea and hypomethylating agents; a recent phase-3 study (DACOTA) comparing hydroxyurea and decitabine, in high-risk MP-CMML, showed similar overall survival at 23.1 versus 18.4 months, respectively, despite response rates being higher for decitabine (56% vs. 31%). UNIQUE DISEASE ASSOCIATIONS These include systemic inflammatory autoimmune diseases, leukemia cutis and lysozyme-induced nephropathy; the latter requires close monitoring of renal function during leukocytosis and is a potential indication for cytoreductive therapy.
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Affiliation(s)
- Mrinal M Patnaik
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Ayalew Tefferi
- Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
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Karion A, Ghosh S, Lopez-Coto I, Mueller K, Gourdji S, Pitt J, Whetstone J. Methane Emissions Show Recent Decline but Strong Seasonality in Two US Northeastern Cities. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:19565-19574. [PMID: 37941355 DOI: 10.1021/acs.est.3c05050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
Urban methane emissions estimated using atmospheric observations have been found to exceed estimates derived by using traditional inventory methods in several northeastern US cities. In this work, we leveraged a nearly five-year record of observations from a dense tower network coupled with a newly developed high-resolution emissions map to quantify methane emission rates in Washington, DC, and Baltimore, Maryland. Annual emissions averaged over 2018-2021 were 80.1 [95% CI: 61.2, 98.9] Gg in the Washington, DC urban area and 47.4 [95% CI: 35.9, 58.5] Gg in the Baltimore urban area, with a decreasing trend of approximately 4-5% per year in both cities. We also find wintertime emissions 44% higher than summertime emissions, correlating with natural gas consumption. We further attribute a large fraction of total methane emissions to the natural gas sector using a least-squares regression on our spatially resolved estimates, supporting previous findings that natural gas systems emit the plurality of methane in both cities. This study contributes to the relatively sparse existing knowledge base of urban methane emissions sources and variability, adding to our understanding of how these emissions change in time and providing evidence to support efforts to mitigate natural gas emissions.
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Affiliation(s)
- Anna Karion
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States
| | - Subhomoy Ghosh
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States
- Center for Research Computing, University of Notre Dame, South Bend, Indiana 46556, United States
| | - Israel Lopez-Coto
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York 11794, United States
| | - Kimberly Mueller
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States
| | - Sharon Gourdji
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States
| | - Joseph Pitt
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York 11794, United States
- School of Chemistry, University of Bristol, Bristol BS8 1QU, U.K
| | - James Whetstone
- Special Programs Office, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States
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