Literature DB >> 23391717

Prognostic model to identify patients with myelofibrosis at the highest risk of transformation to acute myeloid leukemia.

Alfonso Quintás-Cardama1, Hagop Kantarjian, Sherry Pierce, Jorge Cortes, Srdan Verstovsek.   

Abstract

BACKGROUND: Some patients with myelofibrosis (MF) progress to acute myeloid leukemia (AML). Current prognostic tools were not devised to assess risk of AML transformation.
METHODS: Multivariate analysis in 649 patients followed for a median of 19 months (range, 1-180 months).
RESULTS: We identified age > 60 (P = .004; hazard ratio [HR], 1.63), platelets <100 × 10(9)/L (P < .001; HR, 1.62), bone marrow blast > 10% (P = .002; HR, 2.18), high-risk karyotype (P < .001; HR, 2.44), transfusion dependency (P < .001; HR, 2.64), performance status > 1 (P = .003; HR, 1.47), lactate dehydrogenase > 2000 U/L (P < .001; HR, 1.62), previous hydroxyurea (P < .001; HR, 1.69), and male sex (P = .005; HR, 1.41) as independent poor prognostic factors for survival. Using the same baseline variables we identified bone marrow blasts >10% and worst karyotype as independent risk factors for AML transformation. Patients with 1 or both of these risk factors (n = 80; 12%) had a median survival of 10 months and a 1-year AML transformation rate of 13% (2% if none of those factors, P = .001).
CONCLUSION: We have identified risk factors that predict high risk of transformation from MF to AML.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23391717      PMCID: PMC3901422          DOI: 10.1016/j.clml.2013.01.001

Source DB:  PubMed          Journal:  Clin Lymphoma Myeloma Leuk        ISSN: 2152-2669


  17 in total

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Journal:  Blood       Date:  2004-12-07       Impact factor: 22.113

4.  Leukemia and myelodysplasia effect of multiple cytotoxic therapy in essential thrombocythemia.

Authors:  M L Randi; F Fabris; A Girolami
Journal:  Leuk Lymphoma       Date:  2000-04

5.  Treatment of progression of Philadelphia-negative myeloproliferative neoplasms to myelodysplastic syndrome or acute myeloid leukemia by azacitidine: a report on 54 cases on the behalf of the Groupe Francophone des Myelodysplasies (GFM).

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Journal:  Blood       Date:  2010-07-27       Impact factor: 22.113

6.  A dynamic prognostic model to predict survival in primary myelofibrosis: a study by the IWG-MRT (International Working Group for Myeloproliferative Neoplasms Research and Treatment).

Authors:  Francesco Passamonti; Francisco Cervantes; Alessandro Maria Vannucchi; Enrica Morra; Elisa Rumi; Arturo Pereira; Paola Guglielmelli; Ester Pungolino; Marianna Caramella; Margherita Maffioli; Cristiana Pascutto; Mario Lazzarino; Mario Cazzola; Ayalew Tefferi
Journal:  Blood       Date:  2009-12-14       Impact factor: 22.113

7.  Leukemic transformation in myelofibrosis with myeloid metaplasia: a single-institution experience with 91 cases.

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8.  New prognostic scoring system for primary myelofibrosis based on a study of the International Working Group for Myelofibrosis Research and Treatment.

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9.  Dynamic model for predicting death within 12 months in patients with primary or post-polycythemia vera/essential thrombocythemia myelofibrosis.

Authors:  Constantine S Tam; Hagop Kantarjian; Jorge Cortes; Alice Lynn; Sherry Pierce; Lingsha Zhou; Michael J Keating; Deborah A Thomas; Srdan Verstovsek
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10.  Hydroxyurea in the treatment of polycythemia vera: a prospective study of 100 patients over a 20-year period.

Authors:  W O West
Journal:  South Med J       Date:  1987-03       Impact factor: 0.954

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  10 in total

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6.  Clinical Significance of Bone Marrow Blast Percentage in Patients With Myelofibrosis and the Effect of Ruxolitinib Therapy.

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7.  MYB deregulation from a EWSR1-MYB fusion at leukemic evolution of a JAK2 (V617F) positive primary myelofibrosis.

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8.  Long-term treatment with ruxolitinib for patients with myelofibrosis: 5-year update from the randomized, double-blind, placebo-controlled, phase 3 COMFORT-I trial.

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Journal:  J Hematol Oncol       Date:  2017-02-22       Impact factor: 17.388

9.  Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model.

Authors:  Rangit R Vallapureddy; Mythri Mudireddy; Domenico Penna; Terra L Lasho; Christy M Finke; Curtis A Hanson; Rhett P Ketterling; Kebede H Begna; Naseema Gangat; Animesh Pardanani; Ayalew Tefferi
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Review 10.  Primary myelofibrosis: spectrum of imaging features and disease-related complications.

Authors:  Sheng Fei Oon; Dalveer Singh; Teng Han Tan; Allan Lee; Geertje Noe; Kate Burbury; Joseph Paiva
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  10 in total

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