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Expression and prognosis analysis of DNMT family in acute myeloid leukemia
DNA methyltransferases (DNMTs) by regulating DNA methylation play crucial roles in the progression of hematologic malignancies, especially for acute myeloid leukemia (AML). Accumulating investigations have identified the high incidence of DNMT3A mutation in AML, and it is correlated with poor progno...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425446/ https://www.ncbi.nlm.nih.gov/pubmed/32597790 http://dx.doi.org/10.18632/aging.103520 |
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author | Zhang, Ting-Juan Zhang, Liu-Chao Xu, Zi-Jun Zhou, Jing-Dong |
author_facet | Zhang, Ting-Juan Zhang, Liu-Chao Xu, Zi-Jun Zhou, Jing-Dong |
author_sort | Zhang, Ting-Juan |
collection | PubMed |
description | DNA methyltransferases (DNMTs) by regulating DNA methylation play crucial roles in the progression of hematologic malignancies, especially for acute myeloid leukemia (AML). Accumulating investigations have identified the high incidence of DNMT3A mutation in AML, and it is correlated with poor prognosis. Although a few studies have shown the expression of DNMTs and their clinical significance in AML, the results remain to be discussed. Herein, we systemically analyzed the DNMTs expression and their relationship with clinic-pathological features and prognosis in AML patients. DNMTs expression especially for DNMT3A/3B was closely associated with AML among various human cancers. DNMT3A expression was increased in AML patients, whereas DNMT3B expression was decreased. Significant associations between DNMT3A/B expression and clinic-pathological features/gene mutations were observed. Kaplan-Meier analysis showed that DNMT3A expression was associated with better overall survival (OS) and leukemia-free survival (LFS) among whole-cohort AML, and independently affected OS determined by Cox repression multivariate analysis. Notably, patients that received hematopoietic stem cell transplantation (HSCT) showed significantly better OS and LFS in DNMT3A lower-expressed groups, whereas patients in DNMT3A higher-expressed groups did not. By bioinformatics analysis, DNMT3A expression was found to be positively correlated with several leukemia-associated genes/microRNAs, and DNMT3A was identified as direct targets of miR-429 and miR-29b in AML. Collectively, our study demonstrated that DNMT3A/3B showed significant expression differences in AML. DNMT3A expression acted as a potential prognostic biomarker and may guide treatment choice between chemotherapy and HSCT in AML. |
format | Online Article Text |
id | pubmed-7425446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-74254462020-08-25 Expression and prognosis analysis of DNMT family in acute myeloid leukemia Zhang, Ting-Juan Zhang, Liu-Chao Xu, Zi-Jun Zhou, Jing-Dong Aging (Albany NY) Research Paper DNA methyltransferases (DNMTs) by regulating DNA methylation play crucial roles in the progression of hematologic malignancies, especially for acute myeloid leukemia (AML). Accumulating investigations have identified the high incidence of DNMT3A mutation in AML, and it is correlated with poor prognosis. Although a few studies have shown the expression of DNMTs and their clinical significance in AML, the results remain to be discussed. Herein, we systemically analyzed the DNMTs expression and their relationship with clinic-pathological features and prognosis in AML patients. DNMTs expression especially for DNMT3A/3B was closely associated with AML among various human cancers. DNMT3A expression was increased in AML patients, whereas DNMT3B expression was decreased. Significant associations between DNMT3A/B expression and clinic-pathological features/gene mutations were observed. Kaplan-Meier analysis showed that DNMT3A expression was associated with better overall survival (OS) and leukemia-free survival (LFS) among whole-cohort AML, and independently affected OS determined by Cox repression multivariate analysis. Notably, patients that received hematopoietic stem cell transplantation (HSCT) showed significantly better OS and LFS in DNMT3A lower-expressed groups, whereas patients in DNMT3A higher-expressed groups did not. By bioinformatics analysis, DNMT3A expression was found to be positively correlated with several leukemia-associated genes/microRNAs, and DNMT3A was identified as direct targets of miR-429 and miR-29b in AML. Collectively, our study demonstrated that DNMT3A/3B showed significant expression differences in AML. DNMT3A expression acted as a potential prognostic biomarker and may guide treatment choice between chemotherapy and HSCT in AML. Impact Journals 2020-06-26 /pmc/articles/PMC7425446/ /pubmed/32597790 http://dx.doi.org/10.18632/aging.103520 Text en Copyright © 2020 Zhang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Zhang, Ting-Juan Zhang, Liu-Chao Xu, Zi-Jun Zhou, Jing-Dong Expression and prognosis analysis of DNMT family in acute myeloid leukemia |
title | Expression and prognosis analysis of DNMT family in acute myeloid leukemia |
title_full | Expression and prognosis analysis of DNMT family in acute myeloid leukemia |
title_fullStr | Expression and prognosis analysis of DNMT family in acute myeloid leukemia |
title_full_unstemmed | Expression and prognosis analysis of DNMT family in acute myeloid leukemia |
title_short | Expression and prognosis analysis of DNMT family in acute myeloid leukemia |
title_sort | expression and prognosis analysis of dnmt family in acute myeloid leukemia |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425446/ https://www.ncbi.nlm.nih.gov/pubmed/32597790 http://dx.doi.org/10.18632/aging.103520 |
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