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Updated: Jun 8, 2025

Use of Hematopoietic Stem Cell Transplantation to Assess the Origin of Myelodysplastic Syndrome
Published on: October 3, 2018
Recurrent cytogenetic abnormalities reveal alterations that promote progression and transformation in myelodysplastic
Rolando García1, Tasnim Alkayyali1, Luis Mosquera Gomez1
1Department of Pathology, UT Southwestern Medical Center, Dallas TX, United States.
Objective:
To illustrate patterns of cytogenetic abnormalities that promote progression and/or transformation in myelodysplastic syndrome.
Methods:
In this study we evaluated three different data sets to identify recurrent cytogenetic abnormalities (RCAs) to delineate the cytogenetic evolutionary trajectories and their clinical significance.
Results:
Datasets 1 and 2 were 2402 cross sectional samples from Mitelman database of Chromosome Aberrations and Gene Fusions in Cancer; these were used to discover RCAs and to validate them. Dataset 3 was a cohort of 163 institutional patients with serial samples from 35 % of them. This was used to further validate RCAs identified in the cross-sectional data, and their clinical impact. We identified MDS subtype associated RCAs, and some exclusive RCAs (Xp-, 2q-, 17q-, 21q-) that led to disease progression or transformation to leukemia. Evolutionary pathway analysis had shown temporal acquisition of RCAs. Therefore, presence of two or more RCAs suggests cooperative or complementary role in disease progression or transformation. Patients with one or more of these RCAs had poor prognosis and high risk for transformation. Genes frequently altered in MDS are mapped to some of the RCAs and suggest a close correlation between RCAs and molecular alterations in MDS. Karyotypic complexity, clonal evolution, loss of 17p had poor clinical outcomes.
Conclusion:
This study identified a unique combination of RCAs that are components in distinct cytogenetic trajectories. Some of these were primary changes while others were secondary or tertiary changes. Acquiring specific additional aberrations predicts progression or transformation to leukemia.
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