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Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations

Background: DNA methyltransferase 3A (DNMT3A) plays a unique role in hematopoiesis and acute myeloid leukemia (AML) pathogenesis. While the influences of DNMT3A mutation subtypes are still under debate. Purpose: Exploration of the clinical and molecular differences between AML patients carrying DNMT...

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Autores principales: Yang, Li, Shen, Ke'Feng, Zhang, Mei'Lan, Zhang, Wei, Cai, Hao'Dong, Lin, Li'Man, Long, Xiao'Lu, Xing, Shu'Gang, Tang, Yang, Xiong, Jie, Wang, Jia'Chen, Li, Deng'Ju, Zhou, Jian'Feng, Xiao, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821681/
https://www.ncbi.nlm.nih.gov/pubmed/31709191
http://dx.doi.org/10.3389/fonc.2019.01133
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author Yang, Li
Shen, Ke'Feng
Zhang, Mei'Lan
Zhang, Wei
Cai, Hao'Dong
Lin, Li'Man
Long, Xiao'Lu
Xing, Shu'Gang
Tang, Yang
Xiong, Jie
Wang, Jia'Chen
Li, Deng'Ju
Zhou, Jian'Feng
Xiao, Min
author_facet Yang, Li
Shen, Ke'Feng
Zhang, Mei'Lan
Zhang, Wei
Cai, Hao'Dong
Lin, Li'Man
Long, Xiao'Lu
Xing, Shu'Gang
Tang, Yang
Xiong, Jie
Wang, Jia'Chen
Li, Deng'Ju
Zhou, Jian'Feng
Xiao, Min
author_sort Yang, Li
collection PubMed
description Background: DNA methyltransferase 3A (DNMT3A) plays a unique role in hematopoiesis and acute myeloid leukemia (AML) pathogenesis. While the influences of DNMT3A mutation subtypes are still under debate. Purpose: Exploration of the clinical and molecular differences between AML patients carrying DNMT3A R882 mutations and DNMT3A frameshift mutations. Methods: Next generation of sequencing (NGS) and clinical data of 118 AML patients in our center were analyzed and compared. NGS, mRNA and miRNA profiling and clinical data from 12 patients in TCGA database were integrative analyzed. Results: Among all patients enrolled, 113 patients were positive for the variants of interest. Overall, a total of 295 variants were discovered, among which 24 DNMT3A mutations were detected, including 1 non-sense, 20 missense, 3 frameshift mutations. And 7 DNMT3A R882 mutations (3 R882H, 2 R882C, and 2 R882P) were found. Clinical analysis from our cohort and TCGA database indicated that patients carrying DNMT3A R882 mutation exhibited significantly higher levels of peripheral blood hemoglobin and non-significantly inferior prognosis compared with patients with DNMT3A frameshift mutations. Integrative analysis indicated that miR-10b, miR-143, and miR-30a were significantly decreased in the DNMT3A R882 group. High miR-143 expression is significantly associated with better prognosis in AML patients with DNMT3A mutations. Conclusion: Different molecular and clinical characteristics existed between patients with DNMT3A variant subtypes. The distinct microRNA expression pattern for DNMT3A R882 AML patients might not only act as markers to predict disease prognosis, but also could be further investigated to develop novel therapeutic targets for patients with DNMT3A mutations.
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spelling pubmed-68216812019-11-08 Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations Yang, Li Shen, Ke'Feng Zhang, Mei'Lan Zhang, Wei Cai, Hao'Dong Lin, Li'Man Long, Xiao'Lu Xing, Shu'Gang Tang, Yang Xiong, Jie Wang, Jia'Chen Li, Deng'Ju Zhou, Jian'Feng Xiao, Min Front Oncol Oncology Background: DNA methyltransferase 3A (DNMT3A) plays a unique role in hematopoiesis and acute myeloid leukemia (AML) pathogenesis. While the influences of DNMT3A mutation subtypes are still under debate. Purpose: Exploration of the clinical and molecular differences between AML patients carrying DNMT3A R882 mutations and DNMT3A frameshift mutations. Methods: Next generation of sequencing (NGS) and clinical data of 118 AML patients in our center were analyzed and compared. NGS, mRNA and miRNA profiling and clinical data from 12 patients in TCGA database were integrative analyzed. Results: Among all patients enrolled, 113 patients were positive for the variants of interest. Overall, a total of 295 variants were discovered, among which 24 DNMT3A mutations were detected, including 1 non-sense, 20 missense, 3 frameshift mutations. And 7 DNMT3A R882 mutations (3 R882H, 2 R882C, and 2 R882P) were found. Clinical analysis from our cohort and TCGA database indicated that patients carrying DNMT3A R882 mutation exhibited significantly higher levels of peripheral blood hemoglobin and non-significantly inferior prognosis compared with patients with DNMT3A frameshift mutations. Integrative analysis indicated that miR-10b, miR-143, and miR-30a were significantly decreased in the DNMT3A R882 group. High miR-143 expression is significantly associated with better prognosis in AML patients with DNMT3A mutations. Conclusion: Different molecular and clinical characteristics existed between patients with DNMT3A variant subtypes. The distinct microRNA expression pattern for DNMT3A R882 AML patients might not only act as markers to predict disease prognosis, but also could be further investigated to develop novel therapeutic targets for patients with DNMT3A mutations. Frontiers Media S.A. 2019-10-24 /pmc/articles/PMC6821681/ /pubmed/31709191 http://dx.doi.org/10.3389/fonc.2019.01133 Text en Copyright © 2019 Yang, Shen, Zhang, Zhang, Cai, Lin, Long, Xing, Tang, Xiong, Wang, Li, Zhou and Xiao. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Yang, Li
Shen, Ke'Feng
Zhang, Mei'Lan
Zhang, Wei
Cai, Hao'Dong
Lin, Li'Man
Long, Xiao'Lu
Xing, Shu'Gang
Tang, Yang
Xiong, Jie
Wang, Jia'Chen
Li, Deng'Ju
Zhou, Jian'Feng
Xiao, Min
Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations
title Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations
title_full Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations
title_fullStr Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations
title_full_unstemmed Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations
title_short Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations
title_sort clinical features and microrna expression patterns between aml patients with dnmt3a r882 and frameshift mutations
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821681/
https://www.ncbi.nlm.nih.gov/pubmed/31709191
http://dx.doi.org/10.3389/fonc.2019.01133
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