Title |
Dynamics of DNMT3A mutation and prognostic relevance in patients with primary myelodysplastic syndrome
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Published in |
Clinical Epigenetics, April 2018
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DOI | 10.1186/s13148-018-0476-1 |
Pubmed ID | |
Authors |
Ming-En Lin, Hsin-An Hou, Cheng-Hong Tsai, Shang-Ju Wu, Yuan-Yeh Kuo, Mei-Hsuan Tseng, Ming-Chih Liu, Chia-Wen Liu, Wen-Chien Chou, Chien-Yuan Chen, Jih-Luh Tang, Ming Yao, Chi-Cheng Li, Shang-Yi Huang, Bor-Sheng Ko, Szu-Chun Hsu, Chien-Ting Lin, Hwei-Fang Tien |
Abstract |
DNMT3A gene mutation has been associated with poor prognosis in acute myeloid leukemia, but its clinical implications in myelodysplastic syndrome (MDS) and dynamic changes during disease progression remain controversial. In this study, DNMT3A mutation was identified in 7.9% of 469 de novo MDS patients. DNMT3A-mutated patients had higher platelet counts at diagnosis, and patients with ring sideroblasts had the highest incidence of DNMT3A mutations, whereas those with multilineage dysplasia had the lowest incidence. Thirty-one (83.8%) of 37 DNMT3A-mutated patients had additional molecular abnormalities at diagnosis, and DNMT3A mutation was highly associated with mutations of IDH2 and SF3B1. Patients with DNMT3A mutations had a higher risk of leukemia transformation and shorter overall survival. Further, DNMT3A mutation was an independent poor prognostic factor irrespective of age, IPSS-R, and genetic alterations. The sequential study demonstrated that the original DNMT3A mutations were retained during follow-ups unless allogeneic hematopoietic stem cell transplantation was performed, while DNMT3A mutation was rarely acquired during disease progression. DNMT3A mutation predicts unfavorable outcomes in MDS and was stable during disease evolutions. It may thus be a potential biomarker to predict prognosis and monitor the treatment response. |
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United States | 1 | 100% |
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Members of the public | 1 | 100% |
Mendeley readers
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Unknown | 48 | 100% |
Demographic breakdown
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Student > Ph. D. Student | 7 | 15% |
Student > Master | 5 | 10% |
Student > Bachelor | 4 | 8% |
Researcher | 4 | 8% |
Other | 4 | 8% |
Other | 8 | 17% |
Unknown | 16 | 33% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 15 | 31% |
Medicine and Dentistry | 7 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Immunology and Microbiology | 1 | 2% |
Engineering | 1 | 2% |
Other | 0 | 0% |
Unknown | 22 | 46% |