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

Among 1306 patients with primary myelofibrosis (PMF), we sought to identify risk factors that predicted leukemic transformation (LT) in the first 5 years of disease and also over the course of the disease. 149 (11%) LT were documented; patients who subsequently developed LT (n = 149), compared to th...

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Autores principales: Vallapureddy, Rangit R., Mudireddy, Mythri, Penna, Domenico, Lasho, Terra L., Finke, Christy M., Hanson, Curtis A., Ketterling, Rhett P., Begna, Kebede H., Gangat, Naseema, Pardanani, Animesh, Tefferi, Ayalew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347609/
https://www.ncbi.nlm.nih.gov/pubmed/30683837
http://dx.doi.org/10.1038/s41408-019-0175-y
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author Vallapureddy, Rangit R.
Mudireddy, Mythri
Penna, Domenico
Lasho, Terra L.
Finke, Christy M.
Hanson, Curtis A.
Ketterling, Rhett P.
Begna, Kebede H.
Gangat, Naseema
Pardanani, Animesh
Tefferi, Ayalew
author_facet Vallapureddy, Rangit R.
Mudireddy, Mythri
Penna, Domenico
Lasho, Terra L.
Finke, Christy M.
Hanson, Curtis A.
Ketterling, Rhett P.
Begna, Kebede H.
Gangat, Naseema
Pardanani, Animesh
Tefferi, Ayalew
author_sort Vallapureddy, Rangit R.
collection PubMed
description Among 1306 patients with primary myelofibrosis (PMF), we sought to identify risk factors that predicted leukemic transformation (LT) in the first 5 years of disease and also over the course of the disease. 149 (11%) LT were documented; patients who subsequently developed LT (n = 149), compared to those who remained in chronic phase disease (n = 1,157), were more likely to be males (p = 0.02) and display higher circulating blasts (p = 0.03), ASXL1 (p = 0.01), SRSF2 (p = 0.001) and IDH1 (p = 0.02) mutations. Logistic regression analysis identified IDH1, ASXL1 and SRSF2 mutations, very high-risk karyotype, age > 70 years, male sex, circulating blasts ≥ 3%, presence of moderate or severe anemia and constitutional symptoms, as predictors of LT in the first 5 years of diagnosis. Time-to-event Cox analysis confirmed LT prediction for IDH1 mutation (HR 4.3), circulating blasts ≥ 3% (HR 3.3), SRSF2 mutation (HR 3.0), age > 70 years (HR 2.1), ASXL1 mutation (HR 2.0) and presence of moderate or severe anemia (HR 1.9). HR-based risk point allocation resulted in a three-tiered LT risk model: high-risk (LT incidence 57%; HR 39.3, 95% CI 10.8–114), intermediate-risk (LT incidence 17%; HR 4.1, 95% CI 2.4–7.3) and low-risk (LT incidence 8%). The current study provides a highly discriminating LT predictive model for PMF.
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spelling pubmed-63476092019-01-28 Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model Vallapureddy, Rangit R. Mudireddy, Mythri Penna, Domenico Lasho, Terra L. Finke, Christy M. Hanson, Curtis A. Ketterling, Rhett P. Begna, Kebede H. Gangat, Naseema Pardanani, Animesh Tefferi, Ayalew Blood Cancer J Article Among 1306 patients with primary myelofibrosis (PMF), we sought to identify risk factors that predicted leukemic transformation (LT) in the first 5 years of disease and also over the course of the disease. 149 (11%) LT were documented; patients who subsequently developed LT (n = 149), compared to those who remained in chronic phase disease (n = 1,157), were more likely to be males (p = 0.02) and display higher circulating blasts (p = 0.03), ASXL1 (p = 0.01), SRSF2 (p = 0.001) and IDH1 (p = 0.02) mutations. Logistic regression analysis identified IDH1, ASXL1 and SRSF2 mutations, very high-risk karyotype, age > 70 years, male sex, circulating blasts ≥ 3%, presence of moderate or severe anemia and constitutional symptoms, as predictors of LT in the first 5 years of diagnosis. Time-to-event Cox analysis confirmed LT prediction for IDH1 mutation (HR 4.3), circulating blasts ≥ 3% (HR 3.3), SRSF2 mutation (HR 3.0), age > 70 years (HR 2.1), ASXL1 mutation (HR 2.0) and presence of moderate or severe anemia (HR 1.9). HR-based risk point allocation resulted in a three-tiered LT risk model: high-risk (LT incidence 57%; HR 39.3, 95% CI 10.8–114), intermediate-risk (LT incidence 17%; HR 4.1, 95% CI 2.4–7.3) and low-risk (LT incidence 8%). The current study provides a highly discriminating LT predictive model for PMF. Nature Publishing Group UK 2019-01-25 /pmc/articles/PMC6347609/ /pubmed/30683837 http://dx.doi.org/10.1038/s41408-019-0175-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Vallapureddy, Rangit R.
Mudireddy, Mythri
Penna, Domenico
Lasho, Terra L.
Finke, Christy M.
Hanson, Curtis A.
Ketterling, Rhett P.
Begna, Kebede H.
Gangat, Naseema
Pardanani, Animesh
Tefferi, Ayalew
Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model
title Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model
title_full Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model
title_fullStr Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model
title_full_unstemmed Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model
title_short Leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model
title_sort leukemic transformation among 1306 patients with primary myelofibrosis: risk factors and development of a predictive model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347609/
https://www.ncbi.nlm.nih.gov/pubmed/30683837
http://dx.doi.org/10.1038/s41408-019-0175-y
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