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Genome‐wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients

Leukemia is the second common blood cancer after lymphoma, and its incidence rate has an increasing trend in recent years. Acute myeloid leukemia (AML) is one of the prevalent forms of leukemia. Although previous studies have investigated the methylation profile for AML patients, the AML methylation...

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Autores principales: Gao, Haiyan, He, Xin, Li, Qiang, Wang, Ying, Tian, Yaoyao, Chen, Xi, Wang, Jinghua, Guo, Yan, Wang, Wei, Li, Xiaoyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476826/
https://www.ncbi.nlm.nih.gov/pubmed/32628355
http://dx.doi.org/10.1002/cam4.3291
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author Gao, Haiyan
He, Xin
Li, Qiang
Wang, Ying
Tian, Yaoyao
Chen, Xi
Wang, Jinghua
Guo, Yan
Wang, Wei
Li, Xiaoyun
author_facet Gao, Haiyan
He, Xin
Li, Qiang
Wang, Ying
Tian, Yaoyao
Chen, Xi
Wang, Jinghua
Guo, Yan
Wang, Wei
Li, Xiaoyun
author_sort Gao, Haiyan
collection PubMed
description Leukemia is the second common blood cancer after lymphoma, and its incidence rate has an increasing trend in recent years. Acute myeloid leukemia (AML) is one of the prevalent forms of leukemia. Although previous studies have investigated the methylation profile for AML patients, the AML methylation subtypes based on the genome‐wide methylome are still unclear. In the present study, we identified three methylation subtypes for AML samples based on the methylation profiles at CGI, CGI shore, CGI shelf, and opensea genomic contexts. Analyzing the molecular characteristics and clinical factors of the three subtypes revealed different methylation patterns and clinical outcomes between them. Further analysis revealed subtype dependent marker genes and their promoter CpG sites with regulatory function. Finally, we found that combining the AML patient age and methylation pattern brought better clinical outcome classification. In conclusion, we identified AML methylation subtypes and their marker genes, these results may help to excavate potential targets for clinical therapy and the development of precision medicine for AML patients.
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spelling pubmed-74768262020-09-11 Genome‐wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients Gao, Haiyan He, Xin Li, Qiang Wang, Ying Tian, Yaoyao Chen, Xi Wang, Jinghua Guo, Yan Wang, Wei Li, Xiaoyun Cancer Med Clinical Cancer Research Leukemia is the second common blood cancer after lymphoma, and its incidence rate has an increasing trend in recent years. Acute myeloid leukemia (AML) is one of the prevalent forms of leukemia. Although previous studies have investigated the methylation profile for AML patients, the AML methylation subtypes based on the genome‐wide methylome are still unclear. In the present study, we identified three methylation subtypes for AML samples based on the methylation profiles at CGI, CGI shore, CGI shelf, and opensea genomic contexts. Analyzing the molecular characteristics and clinical factors of the three subtypes revealed different methylation patterns and clinical outcomes between them. Further analysis revealed subtype dependent marker genes and their promoter CpG sites with regulatory function. Finally, we found that combining the AML patient age and methylation pattern brought better clinical outcome classification. In conclusion, we identified AML methylation subtypes and their marker genes, these results may help to excavate potential targets for clinical therapy and the development of precision medicine for AML patients. John Wiley and Sons Inc. 2020-07-06 /pmc/articles/PMC7476826/ /pubmed/32628355 http://dx.doi.org/10.1002/cam4.3291 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Gao, Haiyan
He, Xin
Li, Qiang
Wang, Ying
Tian, Yaoyao
Chen, Xi
Wang, Jinghua
Guo, Yan
Wang, Wei
Li, Xiaoyun
Genome‐wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients
title Genome‐wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients
title_full Genome‐wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients
title_fullStr Genome‐wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients
title_full_unstemmed Genome‐wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients
title_short Genome‐wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients
title_sort genome‐wide dna methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476826/
https://www.ncbi.nlm.nih.gov/pubmed/32628355
http://dx.doi.org/10.1002/cam4.3291
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