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Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia

We investigated genome-wide DNA methylation patterns in 64 pediatric patients with acute myeloid leukemia (AML). Based on unsupervised clustering with the 567 most variably methylated cytosine guanine dinucleotide (CpG) sites, patients were categorized into 4 clusters associated with genetic alterat...

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Autores principales: Yamato, Genki, Kawai, Tomoko, Shiba, Norio, Ikeda, Junji, Hara, Yusuke, Ohki, Kentaro, Tsujimoto, Shin-Ichi, Kaburagi, Taeko, Yoshida, Kenichi, Shiraishi, Yuichi, Miyano, Satoru, Kiyokawa, Nobutaka, Tomizawa, Daisuke, Shimada, Akira, Sotomatsu, Manabu, Arakawa, Hirokazu, Adachi, Souichi, Taga, Takashi, Horibe, Keizo, Ogawa, Seishi, Hata, Kenichiro, Hayashi, Yasuhide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Hematology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198913/
https://www.ncbi.nlm.nih.gov/pubmed/35008106
http://dx.doi.org/10.1182/bloodadvances.2021005381
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author Yamato, Genki
Kawai, Tomoko
Shiba, Norio
Ikeda, Junji
Hara, Yusuke
Ohki, Kentaro
Tsujimoto, Shin-Ichi
Kaburagi, Taeko
Yoshida, Kenichi
Shiraishi, Yuichi
Miyano, Satoru
Kiyokawa, Nobutaka
Tomizawa, Daisuke
Shimada, Akira
Sotomatsu, Manabu
Arakawa, Hirokazu
Adachi, Souichi
Taga, Takashi
Horibe, Keizo
Ogawa, Seishi
Hata, Kenichiro
Hayashi, Yasuhide
author_facet Yamato, Genki
Kawai, Tomoko
Shiba, Norio
Ikeda, Junji
Hara, Yusuke
Ohki, Kentaro
Tsujimoto, Shin-Ichi
Kaburagi, Taeko
Yoshida, Kenichi
Shiraishi, Yuichi
Miyano, Satoru
Kiyokawa, Nobutaka
Tomizawa, Daisuke
Shimada, Akira
Sotomatsu, Manabu
Arakawa, Hirokazu
Adachi, Souichi
Taga, Takashi
Horibe, Keizo
Ogawa, Seishi
Hata, Kenichiro
Hayashi, Yasuhide
author_sort Yamato, Genki
collection PubMed
description We investigated genome-wide DNA methylation patterns in 64 pediatric patients with acute myeloid leukemia (AML). Based on unsupervised clustering with the 567 most variably methylated cytosine guanine dinucleotide (CpG) sites, patients were categorized into 4 clusters associated with genetic alterations. Clusters 1 and 3 were characterized by the presence of known favorable prognostic factors, such as RUNX1-RUNX1T1 fusion and KMT2A rearrangement with low MECOM expression, and biallelic CEBPA mutations (all 8 patients), respectively. Clusters 2 and 4 comprised patients exhibiting molecular features associated with adverse outcomes, namely internal tandem duplication of FLT3 (FLT3-ITD), partial tandem duplication of KMT2A, and high PRDM16 expression. Depending on the methylation values of the 1243 CpG sites that were significantly different between FLT3-ITD(+) and FLT3-ITD(−) AML, patients were categorized into 3 clusters: A, B, and C. The STAT5-binding motif was most frequently found close to the 1243 CpG sites. All 8 patients with FLT3-ITD in cluster A harbored high PRDM16 expression and experienced adverse events, whereas only 1 of 7 patients with FLT3-ITD in the other clusters experienced adverse events. PRDM16 expression levels were also related to DNA methylation patterns, which were drastically changed at the cutoff value of PRDM16/ABL1 = 0.10. The assay for transposase-accessible chromatin sequencing of AMLs supported enhanced chromatin accessibility around genomic regions, such as HOXB cluster genes, SCHIP1, and PRDM16, which were associated with DNA methylation changes in AMLs with FLT3-ITD and high PRDM16 expression. Our results suggest that DNA methylation levels at specific CpG sites are useful to support genetic alterations and gene expression patterns of patients with pediatric AML.
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spelling pubmed-91989132022-06-15 Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia Yamato, Genki Kawai, Tomoko Shiba, Norio Ikeda, Junji Hara, Yusuke Ohki, Kentaro Tsujimoto, Shin-Ichi Kaburagi, Taeko Yoshida, Kenichi Shiraishi, Yuichi Miyano, Satoru Kiyokawa, Nobutaka Tomizawa, Daisuke Shimada, Akira Sotomatsu, Manabu Arakawa, Hirokazu Adachi, Souichi Taga, Takashi Horibe, Keizo Ogawa, Seishi Hata, Kenichiro Hayashi, Yasuhide Blood Adv Myeloid Neoplasia We investigated genome-wide DNA methylation patterns in 64 pediatric patients with acute myeloid leukemia (AML). Based on unsupervised clustering with the 567 most variably methylated cytosine guanine dinucleotide (CpG) sites, patients were categorized into 4 clusters associated with genetic alterations. Clusters 1 and 3 were characterized by the presence of known favorable prognostic factors, such as RUNX1-RUNX1T1 fusion and KMT2A rearrangement with low MECOM expression, and biallelic CEBPA mutations (all 8 patients), respectively. Clusters 2 and 4 comprised patients exhibiting molecular features associated with adverse outcomes, namely internal tandem duplication of FLT3 (FLT3-ITD), partial tandem duplication of KMT2A, and high PRDM16 expression. Depending on the methylation values of the 1243 CpG sites that were significantly different between FLT3-ITD(+) and FLT3-ITD(−) AML, patients were categorized into 3 clusters: A, B, and C. The STAT5-binding motif was most frequently found close to the 1243 CpG sites. All 8 patients with FLT3-ITD in cluster A harbored high PRDM16 expression and experienced adverse events, whereas only 1 of 7 patients with FLT3-ITD in the other clusters experienced adverse events. PRDM16 expression levels were also related to DNA methylation patterns, which were drastically changed at the cutoff value of PRDM16/ABL1 = 0.10. The assay for transposase-accessible chromatin sequencing of AMLs supported enhanced chromatin accessibility around genomic regions, such as HOXB cluster genes, SCHIP1, and PRDM16, which were associated with DNA methylation changes in AMLs with FLT3-ITD and high PRDM16 expression. Our results suggest that DNA methylation levels at specific CpG sites are useful to support genetic alterations and gene expression patterns of patients with pediatric AML. American Society of Hematology 2022-05-27 /pmc/articles/PMC9198913/ /pubmed/35008106 http://dx.doi.org/10.1182/bloodadvances.2021005381 Text en © 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.
spellingShingle Myeloid Neoplasia
Yamato, Genki
Kawai, Tomoko
Shiba, Norio
Ikeda, Junji
Hara, Yusuke
Ohki, Kentaro
Tsujimoto, Shin-Ichi
Kaburagi, Taeko
Yoshida, Kenichi
Shiraishi, Yuichi
Miyano, Satoru
Kiyokawa, Nobutaka
Tomizawa, Daisuke
Shimada, Akira
Sotomatsu, Manabu
Arakawa, Hirokazu
Adachi, Souichi
Taga, Takashi
Horibe, Keizo
Ogawa, Seishi
Hata, Kenichiro
Hayashi, Yasuhide
Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia
title Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia
title_full Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia
title_fullStr Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia
title_full_unstemmed Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia
title_short Genome-wide DNA methylation analysis in pediatric acute myeloid leukemia
title_sort genome-wide dna methylation analysis in pediatric acute myeloid leukemia
topic Myeloid Neoplasia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198913/
https://www.ncbi.nlm.nih.gov/pubmed/35008106
http://dx.doi.org/10.1182/bloodadvances.2021005381
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