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      Proposed minimal diagnostic criteria for myelodysplastic syndromes (MDS) and potential pre-MDS conditions

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      1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 8 , 10 , 11 , 10 , 12 , 13 , 14 , 15 , 16 , 6 , 17 , 18 , 1 , 2 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26
      Oncotarget
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      myelodysplasia, diagnostic criteria, standardization, pre-MDS conditions

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          Abstract

          Myelodysplastic syndromes (MDS) comprise a heterogeneous group of myeloid neoplasms characterized by peripheral cytopenia, dysplasia, and a variable clinical course with about 30% risk to transform to secondary acute myeloid leukemia (AML). In the past 15 years, diagnostic evaluations, prognostication, and treatment of MDS have improved substantially. However, with the discovery of molecular markers and advent of novel targeted therapies, new challenges have emerged in the complex field of MDS. For example, MDS-related molecular lesions may be detectable in healthy individuals and increase in prevalence with age. Other patients exhibit persistent cytopenia of unknown etiology without dysplasia. Although these conditions are potential pre-phases of MDS they may also transform into other bone marrow neoplasms. Recently identified molecular, cytogenetic, and flow-based parameters may add in the delineation and prognostication of these conditions. However, no generally accepted integrated classification and no related criteria are as yet available. In an attempt to address this challenge, an international consensus group discussed these issues in a working conference in July 2016. The outcomes of this conference are summarized in the present article which includes criteria and a proposal for the classification of pre-MDS conditions as well as updated minimal diagnostic criteria of MDS. Moreover, we propose diagnostic standards to delineate between ´normal´, pre-MDS, and MDS. These standards and criteria should facilitate diagnostic and prognostic evaluations in clinical studies as well as in clinical practice.

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          Most cited references91

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          Revised international prognostic scoring system for myelodysplastic syndromes.

          The International Prognostic Scoring System (IPSS) is an important standard for assessing prognosis of primary untreated adult patients with myelodysplastic syndromes (MDS). To refine the IPSS, MDS patient databases from international institutions were coalesced to assemble a much larger combined database (Revised-IPSS [IPSS-R], n = 7012, IPSS, n = 816) for analysis. Multiple statistically weighted clinical features were used to generate a prognostic categorization model. Bone marrow cytogenetics, marrow blast percentage, and cytopenias remained the basis of the new system. Novel components of the current analysis included: 5 rather than 3 cytogenetic prognostic subgroups with specific and new classifications of a number of less common cytogenetic subsets, splitting the low marrow blast percentage value, and depth of cytopenias. This model defined 5 rather than the 4 major prognostic categories that are present in the IPSS. Patient age, performance status, serum ferritin, and lactate dehydrogenase were significant additive features for survival but not for acute myeloid leukemia transformation. This system comprehensively integrated the numerous known clinical features into a method analyzing MDS patient prognosis more precisely than the initial IPSS. As such, this IPSS-R should prove beneficial for predicting the clinical outcomes of untreated MDS patients and aiding design and analysis of clinical trials in this disease.
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            International scoring system for evaluating prognosis in myelodysplastic syndromes.

            Despite multiple disparate prognostic risk analysis systems for evaluating clinical outcome for patients with myelodysplastic syndrome (MDS), imprecision persists with such analyses. To attempt to improve on these systems, an International MDS Risk Analysis Workshop combined cytogenetic, morphological, and clinical data from seven large previously reported risk-based studies that had generated prognostic systems. A global analysis was performed on these patients, and critical prognostic variables were re-evaluated to generate a consensus prognostic system, particularly using a more refined bone marrow (BM) cytogenetic classification. Univariate analysis indicated that the major variables having an impact on disease outcome for evolution to acute myeloid leukemia were cytogenetic abnormalities, percentage of BM myeloblasts, and number of cytopenias; for survival, in addition to the above, variables also included age and gender. Cytogenetic subgroups of outcome were as follows: "good" outcomes were normal, -Y alone, del(5q) alone, del(20q) alone; "poor" outcomes were complex (ie, > or = 3 abnormalities) or chromosome 7 anomalies; and "intermediate" outcomes were other abnormalities. Multivariate analysis combined these cytogenetic subgroups with percentage of BM blasts and number of cytopenias to generate a prognostic model. Weighting these variables by their statistical power separated patients into distinctive subgroups of risk for 25% of patients to undergo evolution to acute myeloid leukemia, with: low (31% of patients), 9.4 years; intermediate-1 (INT-1; 39%), 3.3 years; INT-2 (22%), 1.1 years; and high (8%), 0.2 year. These features also separated patients into similar distinctive risk groups for median survival: low, 5.7 years; INT-1, 3.5 years; INT-2, 1.2 years; and high, 0.4 year. Stratification for age further improved analysis of survival. Compared with prior risk-based classifications, this International Prognostic Scoring System provides an improved method for evaluating prognosis in MDS. This classification system should prove useful for more precise design and analysis of therapeutic trials in this disease.
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              Clinical effect of point mutations in myelodysplastic syndromes.

              Myelodysplastic syndromes are clinically heterogeneous disorders characterized by clonal hematopoiesis, impaired differentiation, peripheral-blood cytopenias, and a risk of progression to acute myeloid leukemia. Somatic mutations may influence the clinical phenotype but are not included in current prognostic scoring systems. We used a combination of genomic approaches, including next-generation sequencing and mass spectrometry-based genotyping, to identify mutations in samples of bone marrow aspirate from 439 patients with myelodysplastic syndromes. We then examined whether the mutation status for each gene was associated with clinical variables, including specific cytopenias, the proportion of blasts, and overall survival. We identified somatic mutations in 18 genes, including two, ETV6 and GNAS, that have not been reported to be mutated in patients with myelodysplastic syndromes. A total of 51% of all patients had at least one point mutation, including 52% of the patients with normal cytogenetics. Mutations in RUNX1, TP53, and NRAS were most strongly associated with severe thrombocytopenia (P<0.001 for all comparisons) and an increased proportion of bone marrow blasts (P<0.006 for all comparisons). In a multivariable Cox regression model, the presence of mutations in five genes retained independent prognostic significance: TP53 (hazard ratio for death from any cause, 2.48; 95% confidence interval [CI], 1.60 to 3.84), EZH2 (hazard ratio, 2.13; 95% CI, 1.36 to 3.33), ETV6 (hazard ratio, 2.04; 95% CI, 1.08 to 3.86), RUNX1 (hazard ratio, 1.47; 95% CI, 1.01 to 2.15), and ASXL1 (hazard ratio, 1.38; 95% CI, 1.00 to 1.89). Somatic point mutations are common in myelodysplastic syndromes and are associated with specific clinical features. Mutations in TP53, EZH2, ETV6, RUNX1, and ASXL1 are predictors of poor overall survival in patients with myelodysplastic syndromes, independently of established risk factors. (Funded by the National Institutes of Health and others.).
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                Author and article information

                Journal
                Oncotarget
                Oncotarget
                Oncotarget
                ImpactJ
                Oncotarget
                Impact Journals LLC
                1949-2553
                26 September 2017
                5 July 2017
                : 8
                : 43
                : 73483-73500
                Affiliations
                1 Department of Internal Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria
                2 Ludwig Boltzmann Cluster Oncology, Medical University of Vienna, Vienna, Austria
                3 Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, USA
                4 Division of Hematological Malignancies, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
                5 Division of Hematology, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
                6 Clinic of Hematology and Medical Oncology, Universitymedicine Göttingen, Göttingen, Germany
                7 Department of Molecular Medicine, University of Pavia, Pavia, Italy
                8 Department of Hematology Cancer Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
                9 Munich Leukemia Laboratory (MLL), Munich, Germany
                10 Hematologics, Inc., Seattle, WA, USA
                11 Department of Internal Medicine II, Marien Hospital, Düsseldorf, Germany
                12 Servicio Central de Citometría, Centro de Investigación del Cáncer (IBMCC, CSIC-USAL) and IBSAL, Universidad de Salamanca, Salamanca, Spain
                13 Department of Medicine I, Medical Center-University of Freiburg, Freiburg, Germany
                14 Department of Hematology, Hemostasis, Oncology, and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
                15 Department of Hematology and Oncology, University Hospital Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
                16 Metropolitan Research and Treatment Center for Blood Disorders (MRTC Japan), Tokyo, Japan
                17 Laboratoire d’Hématologie CHU de Nantes, Nantes, France
                18 Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
                19 Institute of Pathology, Paracelsus Medical University Salzburg, Salzburg, Austria
                20 Elisabethinen Hospital, Linz, Austria
                21 Department of Internal Medicine V (Haematology and Oncology) Innsbruck Medical University, Innsbruck, Austria
                22 3rd Medical Department, Hanusch Hospital, Vienna, Austria
                23 Institute of Pathology, Ludwig-Maximilians University, Munich, Germany
                24 Department of Hematology, Oncology, and Clinical Immunology, Heinrich-Heine-University, Düsseldorf, Germany
                25 Stanford University Cancer Institute, Stanford, CA, USA
                26 Department of Pathology, Hematopathology Unit and James P Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, New York, USA
                Author notes
                Correspondence to : Peter Valent, peter.valent@ 123456meduniwien.ac.at
                Article
                19008
                10.18632/oncotarget.19008
                5650276
                29088721
                56c96e8d-ea34-4bf4-b01b-3b30151e9e14
                Copyright: © 2017 Valent et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 May 2017
                : 26 June 2017
                Categories
                Priority Review

                Oncology & Radiotherapy
                myelodysplasia,diagnostic criteria,standardization,pre-mds conditions
                Oncology & Radiotherapy
                myelodysplasia, diagnostic criteria, standardization, pre-mds conditions

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