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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7476826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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