Literature DB >> 33275703

Patient stratification in myelodysplastic syndromes: how a puzzle may become a map.

Anne Sophie Kubasch1, Uwe Platzbecker1.   

Abstract

Heterogeneity is the disease-defining epithet of myelodysplastic syndromes (MDS), a clonal disorder of hematopoietic stem and progenitor cells. During the last decade, significant progress has been made to better understand the diversity of clinical, molecular, cellular, and immunological factors that are bound to the prognosis and outcomes of patients with MDS. Despite the rapid generation of all of this biological information, how to implement it has fallen short. Redefining clinical tools to use this new information remains a challenge. The holistic integration of novel, high-impact individual risk parameters such as patient-reported outcomes or mutational and immunological data into conventional risk stratification systems may further refine patient subgroups, improve predictive power for survival, and provide a next-generation classification and prognosis system for patients with MDS. Dichotomic treatment strategies in patients with MDS according to their patient and disease profiles highlight the importance of precise risk stratification, which may be complemented by the definition of granular cohorts of patients with myeloid neoplasms and a druggable target (ie, IDH1/2 mutations) across conventional blast thresholds.
© 2020 by The American Society of Hematology.

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Year:  2020        PMID: 33275703      PMCID: PMC7727505          DOI: 10.1182/hematology.2020000126

Source DB:  PubMed          Journal:  Hematology Am Soc Hematol Educ Program        ISSN: 1520-4383


  55 in total

Review 1.  Treatment of MDS.

Authors:  Uwe Platzbecker
Journal:  Blood       Date:  2019-01-22       Impact factor: 22.113

2.  Comparison of risk stratification tools in predicting outcomes of patients with higher-risk myelodysplastic syndromes treated with azanucleosides.

Authors:  A M Zeidan; M A Sekeres; G Garcia-Manero; D P Steensma; K Zell; J Barnard; N A Ali; C Zimmerman; G Roboz; A DeZern; A Nazha; E Jabbour; H Kantarjian; S D Gore; J P Maciejewski; A List; R Komrokji
Journal:  Leukemia       Date:  2015-10-14       Impact factor: 11.528

3.  Clinical effect of point mutations in myelodysplastic syndromes.

Authors:  Rafael Bejar; Kristen Stevenson; Omar Abdel-Wahab; Naomi Galili; Björn Nilsson; Guillermo Garcia-Manero; Hagop Kantarjian; Azra Raza; Ross L Levine; Donna Neuberg; Benjamin L Ebert
Journal:  N Engl J Med       Date:  2011-06-30       Impact factor: 91.245

4.  Risk stratification based on both disease status and extra-hematologic comorbidities in patients with myelodysplastic syndrome.

Authors:  Matteo G Della Porta; Luca Malcovati; Corinna Strupp; Ilaria Ambaglio; Andrea Kuendgen; Esther Zipperer; Erica Travaglino; Rosangela Invernizzi; Cristiana Pascutto; Mario Lazzarino; Ulrich Germing; Mario Cazzola
Journal:  Haematologica       Date:  2010-12-06       Impact factor: 9.941

5.  Comorbidity as prognostic variable in MDS: comparative evaluation of the HCT-CI and CCI in a core dataset of 419 patients of the Austrian MDS Study Group.

Authors:  W R Sperr; F Wimazal; M Kundi; C Baumgartner; T Nösslinger; A Makrai; R Stauder; O Krieger; M Pfeilstöcker; P Valent
Journal:  Ann Oncol       Date:  2009-07-15       Impact factor: 32.976

Review 6.  The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

Authors:  Daniel A Arber; Attilio Orazi; Robert Hasserjian; Jürgen Thiele; Michael J Borowitz; Michelle M Le Beau; Clara D Bloomfield; Mario Cazzola; James W Vardiman
Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

7.  TP53 and Decitabine in Acute Myeloid Leukemia and Myelodysplastic Syndromes.

Authors:  John S Welch; Allegra A Petti; Christopher A Miller; Catrina C Fronick; Michelle O'Laughlin; Robert S Fulton; Richard K Wilson; Jack D Baty; Eric J Duncavage; Bevan Tandon; Yi-Shan Lee; Lukas D Wartman; Geoffrey L Uy; Armin Ghobadi; Michael H Tomasson; Iskra Pusic; Rizwan Romee; Todd A Fehniger; Keith E Stockerl-Goldstein; Ravi Vij; Stephen T Oh; Camille N Abboud; Amanda F Cashen; Mark A Schroeder; Meagan A Jacoby; Sharon E Heath; Kierstin Luber; Megan R Janke; Andrew Hantel; Niloufer Khan; Madina J Sukhanova; Randall W Knoebel; Wendy Stock; Timothy A Graubert; Matthew J Walter; Peter Westervelt; Daniel C Link; John F DiPersio; Timothy J Ley
Journal:  N Engl J Med       Date:  2016-11-24       Impact factor: 91.245

8.  Lenalidomide with or without erythropoietin in transfusion-dependent erythropoiesis-stimulating agent-refractory lower-risk MDS without 5q deletion.

Authors:  A Toma; O Kosmider; S Chevret; J Delaunay; A Stamatoullas; C Rose; O Beyne-Rauzy; A Banos; A Guerci-Bresler; S Wickenhauser; D Caillot; K Laribi; B De Renzis; D Bordessoule; C Gardin; B Slama; L Sanhes; B Gruson; P Cony-Makhoul; B Chouffi; C Salanoubat; R Benramdane; L Legros; E Wattel; G Tertian; K Bouabdallah; F Guilhot; A L Taksin; S Cheze; K Maloum; S Nimuboma; C Soussain; F Isnard; E Gyan; R Petit; J Lejeune; V Sardnal; A Renneville; C Preudhomme; M Fontenay; P Fenaux; F Dreyfus
Journal:  Leukemia       Date:  2015-10-26       Impact factor: 11.528

9.  Integrating clinical features and genetic lesions in the risk assessment of patients with chronic myelomonocytic leukemia.

Authors:  Chiara Elena; Anna Gallì; Esperanza Such; Manja Meggendorfer; Ulrich Germing; Ettore Rizzo; Jose Cervera; Elisabetta Molteni; Annette Fasan; Esther Schuler; Ilaria Ambaglio; Maria Lopez-Pavia; Silvia Zibellini; Andrea Kuendgen; Erica Travaglino; Reyes Sancho-Tello; Silvia Catricalà; Ana I Vicente; Torsten Haferlach; Claudia Haferlach; Guillermo F Sanz; Luca Malcovati; Mario Cazzola
Journal:  Blood       Date:  2016-07-06       Impact factor: 22.113

10.  Prognostic impact of gene mutations in myelodysplastic syndromes with ring sideroblasts.

Authors:  Iván Martín; Esperanza Such; Blanca Navarro; Eva Villamón; Ana Vicente; Elvira Mora; Laia Pedrola; Mariam Ibáñez; María López-Pavía; Mar Tormo; Alicia Serrano; Miguel Ángel Sanz; José Cervera; Guillermo Sanz
Journal:  Blood Cancer J       Date:  2017-11-20       Impact factor: 11.037

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