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      Genomic profiling of a randomized trial of interferon-α vs hydroxyurea in MPN reveals mutation-specific responses

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      Blood Advances
      American Society of Hematology

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          Key Points

          • Treatment with IFNα was associated with distinct molecular responses in patients with JAK2-mutated MPN compared with CALR-mutated MPN.

          • Among patients treated with IFNα who did not achieve CHR, DNMT3A mutations emerged more frequently than non- DNMT3A mutations.

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          Abstract

          Although somatic mutations influence the pathogenesis, phenotype, and outcome of myeloproliferative neoplasms (MPNs), little is known about their impact on molecular response to cytoreductive treatment. We performed targeted next-generation sequencing (NGS) on 202 pretreatment samples obtained from patients with MPN enrolled in the DALIAH trial (A Study of Low Dose Interferon Alpha Versus Hydroxyurea in Treatment of Chronic Myeloid Neoplasms; #NCT01387763), a randomized controlled phase 3 clinical trial, and 135 samples obtained after 24 months of therapy with recombinant interferon-alpha (IFNα) or hydroxyurea. The primary aim was to evaluate the association between complete clinicohematologic response (CHR) at 24 months and molecular response through sequential assessment of 120 genes using NGS. Among JAK2-mutated patients treated with IFNα, those with CHR had a greater reduction in the JAK2 variant allele frequency (median, 0.29 to 0.07; P < .0001) compared with those not achieving CHR (median, 0.27 to 0.14; P < .0001). In contrast, the CALR variant allele frequency did not significantly decline in those achieving CHR or in those not achieving CHR. Treatment-emergent mutations in DNMT3A were observed more commonly in patients treated with IFNα compared with hydroxyurea ( P = .04). Furthermore, treatment-emergent DNMT3A mutations were significantly enriched in IFNα–treated patients not attaining CHR ( P = .02). A mutation in TET2, DNMT3A, or ASXL1 was significantly associated with prior stroke (age-adjusted odds ratio, 5.29; 95% confidence interval, 1.59-17.54; P = .007), as was a mutation in TET2 alone (age-adjusted odds ratio, 3.03; 95% confidence interval, 1.03-9.01; P = .044). At 24 months, we found mutation-specific response patterns to IFNα: (1) JAK2- and CALR-mutated MPN exhibited distinct molecular responses; and (2) DNMT3A-mutated clones/subclones emerged on treatment.

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          Most cited references70

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          The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

          The World Health Organization (WHO) classification of tumors of the hematopoietic and lymphoid tissues was last updated in 2008. Since then, there have been numerous advances in the identification of unique biomarkers associated with some myeloid neoplasms and acute leukemias, largely derived from gene expression analysis and next-generation sequencing that can significantly improve the diagnostic criteria as well as the prognostic relevance of entities currently included in the WHO classification and that also suggest new entities that should be added. Therefore, there is a clear need for a revision to the current classification. The revisions to the categories of myeloid neoplasms and acute leukemia will be published in a monograph in 2016 and reflect a consensus of opinion of hematopathologists, hematologists, oncologists, and geneticists. The 2016 edition represents a revision of the prior classification rather than an entirely new classification and attempts to incorporate new clinical, prognostic, morphologic, immunophenotypic, and genetic data that have emerged since the last edition. The major changes in the classification and their rationale are presented here.
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            Clonal Hematopoiesis and Risk of Atherosclerotic Cardiovascular Disease

            Background Clonal hematopoiesis of indeterminate potential (CHIP), defined by the presence of an expanded somatic blood cell clone in those without other hematologic abnormalities, is common in older individuals and associates with an increased risk of developing hematologic cancer. We previously found preliminary evidence for an association of CHIP with human atherosclerotic cardiovascular disease, but the nature of this association was unclear. Methods We used whole exome sequencing to detect the presence of CHIP in peripheral blood cells and associated this with coronary heart disease in four case-control studies together comprising 4,794 cases and 3,537 controls. To assess causality, we perturbed the function of Tet2, the second most commonly mutated gene linked to clonal hematopoiesis, in the hematopoietic cells of atherosclerosis-prone mice. Results In nested case-control analyses from two prospective cohorts, carriers of CHIP had a 1.9-fold (95% confidence interval 1.4–2.7) increased risk of coronary heart disease compared to non-carriers. In two retrospective case-control cohorts for early-onset myocardial infarction, those with CHIP had a 4.0-fold greater risk (95% confidence interval 2.4–6.7) of having myocardial infarction. Mutations in DNMT3A, TET2, ASXL1, and JAK2 were each individually associated with coronary heart disease. Those with clonal hematopoiesis also had increased coronary artery calcification, a marker of coronary atherosclerosis burden. Hyperlipidemic mice engrafted with Tet2−/− or Tet2+/− bone marrow developed larger atherosclerotic lesions in the aortic root and aorta than mice receiving control marrow. Analyses of Tet2−/− macrophages demonstrated elevated expression of several chemokine and cytokine genes that contribute to atherosclerosis. Conclusions Clonal hematopoiesis robustly associates with coronary heart disease in humans and causes accelerated atherosclerosis in mice.
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              A gain-of-function mutation of JAK2 in myeloproliferative disorders.

              Polycythemia vera, essential thrombocythemia, and idiopathic myelofibrosis are clonal myeloproliferative disorders arising from a multipotent progenitor. The loss of heterozygosity (LOH) on the short arm of chromosome 9 (9pLOH) in myeloproliferative disorders suggests that 9p harbors a mutation that contributes to the cause of clonal expansion of hematopoietic cells in these diseases. We performed microsatellite mapping of the 9pLOH region and DNA sequencing in 244 patients with myeloproliferative disorders (128 with polycythemia vera, 93 with essential thrombocythemia, and 23 with idiopathic myelofibrosis). Microsatellite mapping identified a 9pLOH region that included the Janus kinase 2 (JAK2) gene. In patients with 9pLOH, JAK2 had a homozygous G-->T transversion, causing phenylalanine to be substituted for valine at position 617 of JAK2 (V617F). All 51 patients with 9pLOH had the V617F mutation. Of 193 patients without 9pLOH, 66 were heterozygous for V617F and 127 did not have the mutation. The frequency of V617F was 65 percent among patients with polycythemia vera (83 of 128), 57 percent among patients with idiopathic myelofibrosis (13 of 23), and 23 percent among patients with essential thrombocythemia (21 of 93). V617F is a somatic mutation present in hematopoietic cells. Mitotic recombination probably causes both 9pLOH and the transition from heterozygosity to homozygosity for V617F. Genetic evidence and in vitro functional studies indicate that V617F gives hematopoietic precursors proliferative and survival advantages. Patients with the V617F mutation had a significantly longer duration of disease and a higher rate of complications (fibrosis, hemorrhage, and thrombosis) and treatment with cytoreductive therapy than patients with wild-type JAK2. A high proportion of patients with myeloproliferative disorders carry a dominant gain-of-function mutation of JAK2. Copyright 2005 Massachusetts Medical Society.
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                Author and article information

                Journal
                Blood Adv
                Blood Adv
                bloodoa
                Blood Advances
                Blood Advances
                American Society of Hematology (Washington, DC )
                2473-9529
                2473-9537
                12 April 2022
                30 March 2022
                : 6
                : 7
                : 2107-2119
                Affiliations
                [1 ]Department of Hematology, Zealand University Hospital, Roskilde, Denmark;
                [2 ]Department of Data Science, Dana-Farber Cancer Institute, Boston, MA;
                [3 ]Division of Hematology, Brigham and Women's Hospital, Boston, MA;
                [4 ]Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA;
                [5 ]Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA;
                [6 ]Department of Hematology, Odense University Hospital, Odense, Denmark;
                [7 ]Department of Data and Innovation Support, Region Zealand, Soroe, Denmark;
                [8 ]Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark;
                [9 ]Department of Laboratory Medicine, Boston Children's Hospital, Boston, MA;
                [10 ]Department of Pathology, Harvard Medical School, Boston, MA;
                [11 ]Department of Hematology, Herlev and Gentofte Hospital, Herlev, Denmark;
                [12 ]Department of Hematology, Copenhagen University Hospital, Copenhagen, Denmark;
                [13 ]Department of Pathology, Odense University Hospital, Odense, Denmark;
                [14 ]Statens Serum Institut, Copenhagen, Denmark;
                [15 ]Department of Hematology, Hospital of Southern Jutland, Haderslev, Denmark;
                [16 ]Department of Clinical Genetics, Odense University Hospital, Odense, Denmark;
                [17 ]Department of Hematology, Hospital of South West Jutland, Esbjerg, Denmark;
                [18 ]Department of Hematology, Clinical Cancer Research Center, Aalborg University Hospital, Aalborg, Denmark;
                [19 ]Department of Clinical Medicine, Aalborg University, Aalborg, Denmark;
                [20 ]Department of Hematology, Aarhus University Hospital, Aarhus, Denmark;
                [21 ]Department of Hematology, Holstebro Hospital, Holstebro, Denmark; and
                [22 ]Broad Institute, Cambridge, MA
                Author notes
                [*]

                H.C.H., R.C.L., and A.M. contributed equally to this study.

                Presented in abstract form at the 61st annual meeting of the American Society of Hematology, Orlando, FL, 7-10 December 2019.

                Requests for data sharing may be made by contacting the corresponding author (Ann Mullally; e-mail: amullally@ 123456partners.org ).

                Correspondence: Ann Mullally, Harvard Institutes of Medicine Building, Room 738, 77 Ave Louis Pasteur, Boston, MA 02115; e-mail: ann_mullally@ 123456dfci.harvard.edu .
                Author information
                https://orcid.org/0000-0001-9829-3099
                https://orcid.org/0000-0003-0097-7826
                https://orcid.org/0000-0002-0000-2829
                https://orcid.org/0000-0002-4478-1297
                https://orcid.org/0000-0002-3088-4375
                https://orcid.org/0000-0001-6282-5348
                https://orcid.org/0000-0003-0996-1812
                https://orcid.org/0000-0001-6767-0226
                https://orcid.org/0000-0003-3936-8032
                https://orcid.org/0000-0001-9822-806X
                https://orcid.org/0000-0001-9727-8495
                Article
                2022/ADV2021004856
                10.1182/bloodadvances.2021004856
                9006286
                34507355
                e4e9046c-67f3-4464-adf5-6dc2e5721889
                © 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) , permitting only noncommercial, nonderivative use with attribution. All other rights reserved.
                History
                : 29 March 2021
                : 15 June 2021
                : 10 September 2021
                Page count
                Pages: 13
                Categories
                20
                25
                Myeloid Neoplasia

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