Literature DB >> 25659725

MDS prognostic scoring systems – past, present, and future.

Brian A Jonas1, Peter L Greenberg2.   

Abstract

The myelodysplastic syndromes (MDS) are a heterogeneous group of clonal myeloid haemopathies characterized by defective differentiation of haematopoietic cells and expansion of the abnormal clone. This leads to bone marrow failure with the resulting peripheral blood cytopenias and evolution to or toward acute myeloid leukaemia that characterize MDS clinically. The clinical heterogeneity of MDS has led several groups to analyze patient and clinical characteristics to develop prognostic scoring systems yielding estimates of overall and leukaemia-free survival to guide clinical decision-making. These models have evolved over time as our understanding of the pathogenesis, natural history, and treatment of MDS has improved. Rapid advances in flow cytometric analysis, adjuncts to standard metaphase cytogenetics, and gene mutation analysis are revolutionizing our understanding of MDS pathogenesis and prognosis. Despite the existence of multiple well-validated prognostic scoring systems, further refinements of current models with these new sources of prognostic data are needed and are described herein.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  cytogenetics; flow cytometry; gene expression; mutations; myelodysplastic syndromes; prognosis

Mesh:

Substances:

Year:  2014        PMID: 25659725      PMCID: PMC4324398          DOI: 10.1016/j.beha.2014.11.001

Source DB:  PubMed          Journal:  Best Pract Res Clin Haematol        ISSN: 1521-6926            Impact factor:   3.020


  86 in total

1.  Time changes in predictive power of established and recently proposed clinical, cytogenetical and comorbidity scores for Myelodysplastic Syndromes.

Authors:  Michael Pfeilstöcker; Heinz Tüchler; Anabel Schönmetzler; Thomas Nösslinger; Elisabeth Pittermann
Journal:  Leuk Res       Date:  2011-10-02       Impact factor: 3.156

2.  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

3.  Comparison of the prognostic utility of the revised International Prognostic Scoring System and the French Prognostic Scoring System in azacitidine-treated patients with myelodysplastic syndromes.

Authors:  Amer M Zeidan; Ju-Whei Lee; Thomas Prebet; Peter Greenberg; Zhuoxin Sun; Mark Juckett; Mitchell R Smith; Elisabeth Paietta; Janice Gabrilove; Harry P Erba; Martin S Tallman; Steven D Gore
Journal:  Br J Haematol       Date:  2014-04-09       Impact factor: 6.998

4.  Association of comorbidities with overall survival in myelodysplastic syndrome: development of a prognostic model.

Authors:  Kiran Naqvi; Guillermo Garcia-Manero; Sagar Sardesai; Jeong Oh; Carlos E Vigil; Sherry Pierce; Xiudong Lei; Jianqin Shan; Hagop M Kantarjian; Maria E Suarez-Almazor
Journal:  J Clin Oncol       Date:  2011-05-02       Impact factor: 44.544

Review 5.  The World Health Organization (WHO) classification of the myeloid neoplasms.

Authors:  James W Vardiman; Nancy Lee Harris; Richard D Brunning
Journal:  Blood       Date:  2002-10-01       Impact factor: 22.113

6.  Predictive factors for the outcome of allogeneic transplantation in patients with MDS stratified according to the revised IPSS-R.

Authors:  Matteo G Della Porta; Emilio Paolo Alessandrino; Andrea Bacigalupo; Maria Teresa van Lint; Luca Malcovati; Cristiana Pascutto; Michele Falda; Massimo Bernardi; Francesco Onida; Stefano Guidi; Anna Paola Iori; Raffaella Cerretti; Paola Marenco; Pietro Pioltelli; Emanuele Angelucci; Rosi Oneto; Francesco Ripamonti; Paolo Bernasconi; Alberto Bosi; Mario Cazzola; Alessandro Rambaldi
Journal:  Blood       Date:  2014-02-20       Impact factor: 22.113

7.  Prognostic impact of age and gender in 897 untreated patients with primary myelodysplastic syndromes.

Authors:  T Nösslinger; H Tüchler; U Germing; W R Sperr; O Krieger; D Haase; M Lübbert; R Stauder; A Giagounidis; P Valent; M Pfeilstöcker
Journal:  Ann Oncol       Date:  2009-07-15       Impact factor: 32.976

8.  Proposed score for survival of patients with myelodysplastic syndromes.

Authors:  Wolfgang R Sperr; Michael Kundi; Friedrich Wimazal; Thomas Nösslinger; Anabel Schönmetzler-Makrai; Reinhard Stauder; Otto Krieger; Judith Neukirchen; Ulrich Germing; Michael Pfeilstöcker; Peter Valent
Journal:  Eur J Clin Invest       Date:  2013-09-18       Impact factor: 4.686

9.  Validation of a flow cytometric scoring system as a prognostic indicator for posttransplantation outcome in patients with myelodysplastic syndrome.

Authors:  Bart L Scott; Denise A Wells; Michael R Loken; David Myerson; Wendy M Leisenring; H Joachim Deeg
Journal:  Blood       Date:  2008-07-07       Impact factor: 22.113

10.  A decision analysis of allogeneic bone marrow transplantation for the myelodysplastic syndromes: delayed transplantation for low-risk myelodysplasia is associated with improved outcome.

Authors:  Corey S Cutler; Stephanie J Lee; Peter Greenberg; H Joachim Deeg; Waleska S Pérez; Claudio Anasetti; Brian J Bolwell; Mitchell S Cairo; Robert Peter Gale; John P Klein; Hillard M Lazarus; Jane L Liesveld; Philip L McCarthy; Gustavo A Milone; J Douglas Rizzo; Kirk R Schultz; Michael E Trigg; Armand Keating; Daniel J Weisdorf; Joseph H Antin; Mary M Horowitz
Journal:  Blood       Date:  2004-03-23       Impact factor: 22.113

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  9 in total

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

Authors:  Anne Sophie Kubasch; Uwe Platzbecker
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2020-12-04

2.  PAS positivity of erythroid precursor cells is associated with a poor prognosis in newly diagnosed myelodysplastic syndrome patients.

Authors:  Kenta Masuda; Shuichi Shiga; Hiroshi Kawabata; Akifumi Takaori-Kondo; Satoshi Ichiyama; Yasuhiko Kamikubo
Journal:  Int J Hematol       Date:  2018-03-29       Impact factor: 2.490

3.  Effect of Chinese medicine treatment based on pattern identification on cellular immunophenotype of myelodysplastic syndrome.

Authors:  Yu Zhang; Li-Li Qian; Jian-Ping Shen; Jun-Fa Chen; Yan-Ting Gao; Jing-Jing Xiang; Bao-Dong Ye; Yu-Hong Zhou
Journal:  Chin J Integr Med       Date:  2016-12-09       Impact factor: 1.978

4.  Myelodysplastic Syndrome in Pakistan: Clinicohematological Characteristics, Cytogenetic Profile, and Risk Stratification.

Authors:  Rafia Mahmood; Chaudry Altaf; Parvez Ahmed; Saleem Ahmed Khan; Hamid Saeed Malik
Journal:  Turk J Haematol       Date:  2017-06-07       Impact factor: 1.831

5.  Bone marrow MSCs in MDS: contribution towards dysfunctional hematopoiesis and potential targets for disease response to hypomethylating therapy.

Authors:  Zhiyong Poon; Niraja Dighe; Subhashree S Venkatesan; Alice M S Cheung; Xiubo Fan; Sudipto Bari; Monalisa Hota; Sujoy Ghosh; William Y K Hwang
Journal:  Leukemia       Date:  2018-12-21       Impact factor: 11.528

6.  Gender disparity in the survival of patients with primary myelodysplastic syndrome.

Authors:  Fangfang Wang; Jun Ni; Lei Wu; Ying Wang; Bin He; Duonan Yu
Journal:  J Cancer       Date:  2019-01-30       Impact factor: 4.207

7.  Translocation (6;15)(q12;q15): A Novel Mutation in a Patient with Therapy-Related Myelodysplastic Syndrome.

Authors:  Saba F Ali; Rebecca J Sonu; Denis M Dwyre; Brian A Jonas; Hooman H Rashidi
Journal:  Case Rep Hematol       Date:  2015-12-21

8.  Clinico-Pathological Spectrum and Novel Karyotypic Findings in Myelodysplastic Syndrome: Experience of Tertiary Care Center in India.

Authors:  Ruchi Gupta; Khaliqur Rahman; Manish Kumar Singh; Surabhi Kumari; Geeta Yadav; Soniya Nityanand
Journal:  Mediterr J Hematol Infect Dis       Date:  2017-08-16       Impact factor: 2.576

Review 9.  Techniques for detecting chromosomal aberrations in myelodysplastic syndromes.

Authors:  Qibin Song; Min Peng; Yuxin Chu; Shiang Huang
Journal:  Oncotarget       Date:  2017-05-09
  9 in total

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