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Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification

Studies have revealed key genomic aberrations in pediatric acute myeloid leukemia (AML) based on Western populations. It is unknown to what extent the current genomic findings represent populations with different ethnic backgrounds. Here we present the genomic landscape of driver alterations of Chin...

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Autores principales: Liu, Ting, Rao, Jianan, Hu, Wenting, Cui, Bowen, Cai, Jiaoyang, Liu, Yuhan, Sun, Huiying, Chen, Xiaoxiao, Tang, Yanjing, Chen, Jing, Wang, Xiang, Wang, Han, Qian, Wubin, Mao, Binchen, Guo, Sheng, Wang, Ronghua, Liu, Yu, Shen, Shuhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960760/
https://www.ncbi.nlm.nih.gov/pubmed/35347147
http://dx.doi.org/10.1038/s41467-022-29336-y
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author Liu, Ting
Rao, Jianan
Hu, Wenting
Cui, Bowen
Cai, Jiaoyang
Liu, Yuhan
Sun, Huiying
Chen, Xiaoxiao
Tang, Yanjing
Chen, Jing
Wang, Xiang
Wang, Han
Qian, Wubin
Mao, Binchen
Guo, Sheng
Wang, Ronghua
Liu, Yu
Shen, Shuhong
author_facet Liu, Ting
Rao, Jianan
Hu, Wenting
Cui, Bowen
Cai, Jiaoyang
Liu, Yuhan
Sun, Huiying
Chen, Xiaoxiao
Tang, Yanjing
Chen, Jing
Wang, Xiang
Wang, Han
Qian, Wubin
Mao, Binchen
Guo, Sheng
Wang, Ronghua
Liu, Yu
Shen, Shuhong
author_sort Liu, Ting
collection PubMed
description Studies have revealed key genomic aberrations in pediatric acute myeloid leukemia (AML) based on Western populations. It is unknown to what extent the current genomic findings represent populations with different ethnic backgrounds. Here we present the genomic landscape of driver alterations of Chinese pediatric AML and discover previously undescribed genomic aberrations, including the XPO1-TNRC18 fusion. Comprehensively comparing between the Chinese and Western AML cohorts reveal a substantially distinct genomic alteration profile. For example, Chinese AML patients more commonly exhibit mutations in KIT and CSF3R, and less frequently mutated of genes in the RAS signaling pathway. These differences in mutation frequencies lead to the detection of previously uncharacterized co-occurring mutation pairs. Importantly, the distinct driver profile is clinical relevant. We propose a refined prognosis risk classification model which better reflected the adverse event risk for Chinese AML patients. These results emphasize the importance of genetic background in precision medicine.
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spelling pubmed-89607602022-04-20 Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification Liu, Ting Rao, Jianan Hu, Wenting Cui, Bowen Cai, Jiaoyang Liu, Yuhan Sun, Huiying Chen, Xiaoxiao Tang, Yanjing Chen, Jing Wang, Xiang Wang, Han Qian, Wubin Mao, Binchen Guo, Sheng Wang, Ronghua Liu, Yu Shen, Shuhong Nat Commun Article Studies have revealed key genomic aberrations in pediatric acute myeloid leukemia (AML) based on Western populations. It is unknown to what extent the current genomic findings represent populations with different ethnic backgrounds. Here we present the genomic landscape of driver alterations of Chinese pediatric AML and discover previously undescribed genomic aberrations, including the XPO1-TNRC18 fusion. Comprehensively comparing between the Chinese and Western AML cohorts reveal a substantially distinct genomic alteration profile. For example, Chinese AML patients more commonly exhibit mutations in KIT and CSF3R, and less frequently mutated of genes in the RAS signaling pathway. These differences in mutation frequencies lead to the detection of previously uncharacterized co-occurring mutation pairs. Importantly, the distinct driver profile is clinical relevant. We propose a refined prognosis risk classification model which better reflected the adverse event risk for Chinese AML patients. These results emphasize the importance of genetic background in precision medicine. Nature Publishing Group UK 2022-03-28 /pmc/articles/PMC8960760/ /pubmed/35347147 http://dx.doi.org/10.1038/s41467-022-29336-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liu, Ting
Rao, Jianan
Hu, Wenting
Cui, Bowen
Cai, Jiaoyang
Liu, Yuhan
Sun, Huiying
Chen, Xiaoxiao
Tang, Yanjing
Chen, Jing
Wang, Xiang
Wang, Han
Qian, Wubin
Mao, Binchen
Guo, Sheng
Wang, Ronghua
Liu, Yu
Shen, Shuhong
Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification
title Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification
title_full Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification
title_fullStr Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification
title_full_unstemmed Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification
title_short Distinct genomic landscape of Chinese pediatric acute myeloid leukemia impacts clinical risk classification
title_sort distinct genomic landscape of chinese pediatric acute myeloid leukemia impacts clinical risk classification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960760/
https://www.ncbi.nlm.nih.gov/pubmed/35347147
http://dx.doi.org/10.1038/s41467-022-29336-y
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