Literature DB >> 30573039

The current approach to the diagnosis of myelodysplastic syndromes.

Olga K Weinberg1, Robert P Hasserjian2.   

Abstract

Myelodysplastic syndromes (MDS) are heterogeneous hematopoietic neoplasms that share key clinical and biologic features, including peripheral blood cytopenias, morphologic dysplasia, ineffective and clonal hematopoiesis, and a variable risk of transformation to acute myeloid leukemia. Diagnostic evaluation of MDS relies on morphologic assessment of the peripheral blood and bone marrow, conventional cytogenetics, and exclusion of secondary causes of dysplasia. The diagnosis of MDS has important clinical consequences, but it can be challenging and requires distinction from mimics. In this review, the principles of bone marrow interpretation with respect to the diagnosis and classification of MDS in the current era will be discussed, including accurate morphologic interpretation, use of flow cytometry and immunohistochemistry, appropriate use of cytogenetics, and the emerging role of molecular genetics.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Cytogenetic findings; Diagnosis; Etiology; Mutations; Myelodysplastic syndrome; Prognosis

Mesh:

Year:  2018        PMID: 30573039     DOI: 10.1053/j.seminhematol.2018.05.015

Source DB:  PubMed          Journal:  Semin Hematol        ISSN: 0037-1963            Impact factor:   3.851


  6 in total

1.  Screening and identification of key candidate genes and pathways in myelodysplastic syndrome by bioinformatic analysis.

Authors:  Ying Le
Journal:  PeerJ       Date:  2019-11-29       Impact factor: 2.984

2.  A Deep Learning Model for the Automatic Recognition of Aplastic Anemia, Myelodysplastic Syndromes, and Acute Myeloid Leukemia Based on Bone Marrow Smear.

Authors:  Meifang Wang; Chunxia Dong; Yan Gao; Jianlan Li; Mengru Han; Lijun Wang
Journal:  Front Oncol       Date:  2022-04-14       Impact factor: 5.738

3.  The Differential Expression of CD47 may be Related to the Pathogenesis From Myelodysplastic Syndromes to Acute Myeloid Leukemia.

Authors:  Xiao Yan; Binbin Lai; Xuyan Zhou; Shujun Yang; Qunfang Ge; Miao Zhou; Cong Shi; Zhijuan Xu; Guifang Ouyang
Journal:  Front Oncol       Date:  2022-03-31       Impact factor: 6.244

4.  Iron Overload Impairs Bone Marrow Mesenchymal Stromal Cells from Higher-Risk MDS Patients by Regulating the ROS-Related Wnt/β-Catenin Pathway.

Authors:  Lei Huang; Zhaoyun Liu; Hui Liu; Kai Ding; Fu Mi; Chenhuan Xiang; Guanrou Wang; Yixuan Guo; Rong Fu
Journal:  Stem Cells Int       Date:  2020-10-31       Impact factor: 5.443

5.  The relationship between red cell distribution width and prognostic scores in myelodysplastic syndrome.

Authors:  Atakan Turgutkaya; Nesim Akın; Gökhan Sargın; Zahit Bolaman; İrfan Yavaşoğlu
Journal:  Hematol Transfus Cell Ther       Date:  2021-01-29

6.  Exploring blast composition in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasms: CD45RA and CD371 improve diagnostic value of flow cytometry through assessment of myeloblast heterogeneity and stem cell aberrancy.

Authors:  Afshin Shameli; Poonam Dharmani-Khan; Joanne Luider; Iwona Auer; Meer-Taher Shabani-Rad
Journal:  Cytometry B Clin Cytom       Date:  2020-12-24       Impact factor: 3.058

  6 in total

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