4.6 Article

Dynamics of DNMT3A mutation and prognostic relevance in patients with primary myelodysplastic syndrome

期刊

CLINICAL EPIGENETICS
卷 10, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s13148-018-0476-1

关键词

DNMT3A; Myelodysplastic syndrome; Prognosis; Paired samples

资金

  1. Ministry of Science and Technology (Taiwan) [MOST 103-2628-B-002-008-MY3, 103-2923-B-002-001, MOST 103-2314-B-002- 130-MY3, 103-2314-B-002-131 MY3, 104-2314-B-002-128-MY4, 106- 2314-B-002-226-MY3]
  2. National Taiwan University Hospital-National Taiwan University joint research grant [UN103-051]
  3. Ministry of Health and Welfare (Taiwan) [MOHW 105-TDU-B-211-134004]
  4. Department of Medical Research, National Taiwan University Hospital [NTUH 102P06]
  5. Taiwan Health Foundation

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Background: 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. Results: 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. Conclusions: 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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