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Assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype

This study was performed to assess if a recently recommended genomic classification is predictive in patients with normal-karyotype (NK) acute myeloid leukemia (AML). A total of 393 patients were included. Analysis of genetic mutations was performed using targeted resequencing with an Illumina Hiseq...

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Autores principales: Ahn, Jae-Sook, Kim, Hyeoung-Joon, Kim, Yeo-Kyeoung, Lee, Seung-Shin, Ahn, Seo-Yeon, Jung, Sung-Hoon, Yang, Deok-Hwan, Lee, Je-Jung, Park, Hee Jeong, Lee, Ja-Yeon, Choi, Seung Hyun, Jung, Chul Won, Jang, Jun-Ho, Kim, Hee Je, Moon, Joon Ho, Sohn, Sang Kyun, Lee, Yoo Jin, Won, Jong-Ho, Kim, Sung-Hyun, Zhang, Zhaolei, Kim, TaeHyung, Kim, Dennis Dong Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797026/
https://www.ncbi.nlm.nih.gov/pubmed/29435155
http://dx.doi.org/10.18632/oncotarget.23575
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author Ahn, Jae-Sook
Kim, Hyeoung-Joon
Kim, Yeo-Kyeoung
Lee, Seung-Shin
Ahn, Seo-Yeon
Jung, Sung-Hoon
Yang, Deok-Hwan
Lee, Je-Jung
Park, Hee Jeong
Lee, Ja-Yeon
Choi, Seung Hyun
Jung, Chul Won
Jang, Jun-Ho
Kim, Hee Je
Moon, Joon Ho
Sohn, Sang Kyun
Lee, Yoo Jin
Won, Jong-Ho
Kim, Sung-Hyun
Zhang, Zhaolei
Kim, TaeHyung
Kim, Dennis Dong Hwan
author_facet Ahn, Jae-Sook
Kim, Hyeoung-Joon
Kim, Yeo-Kyeoung
Lee, Seung-Shin
Ahn, Seo-Yeon
Jung, Sung-Hoon
Yang, Deok-Hwan
Lee, Je-Jung
Park, Hee Jeong
Lee, Ja-Yeon
Choi, Seung Hyun
Jung, Chul Won
Jang, Jun-Ho
Kim, Hee Je
Moon, Joon Ho
Sohn, Sang Kyun
Lee, Yoo Jin
Won, Jong-Ho
Kim, Sung-Hyun
Zhang, Zhaolei
Kim, TaeHyung
Kim, Dennis Dong Hwan
author_sort Ahn, Jae-Sook
collection PubMed
description This study was performed to assess if a recently recommended genomic classification is predictive in patients with normal-karyotype (NK) acute myeloid leukemia (AML). A total of 393 patients were included. Analysis of genetic mutations was performed using targeted resequencing with an Illumina Hiseq 2000. We identified driver mutations across 40 genes, with one or more driver mutations identified in 95.7% of patients. The molecular subclassification was as follows: 34.6% patients (n = 136) with AML with the NPM1 mutation, 10.7% (n = 42) with AML with mutated chromatin or RNA-splicing genes or both, 1.5% (n = 6) with AML with TP53 mutations, 13.5% (n = 53) with AML with biallelic CEBPA mutations, 2.0% (n = 8) with AML with IDH2-R172 mutations and no other class-defining lesion, 29.5% (n = 116) with AML with driver mutations but no detected class-defining lesion, 4.3% (n = 17) with AML with no detected driver mutation, and 3.8% (n = 15) patients with AML who met the criteria for ≥2 genomic subgroups. The 5-year overall survival and relapse rate of subgroup in AML with mutated chromatin, RNA-splicing genes, or both was 11.6% (95% CI = 1.4–21.8%) and 71.4% (95% CI = 45.7–86.5%), respectively. This study suggests that the recently recommended genomic classification is an appropriate and replicable categorization system in the NK AML population. The subgroup of AML with mutated chromatin, RNA-splicing genes, or both showed extremely poor survival in NK-AML; thus, a novel approach is needed to improve their prognosis.
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spelling pubmed-57970262018-02-12 Assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype Ahn, Jae-Sook Kim, Hyeoung-Joon Kim, Yeo-Kyeoung Lee, Seung-Shin Ahn, Seo-Yeon Jung, Sung-Hoon Yang, Deok-Hwan Lee, Je-Jung Park, Hee Jeong Lee, Ja-Yeon Choi, Seung Hyun Jung, Chul Won Jang, Jun-Ho Kim, Hee Je Moon, Joon Ho Sohn, Sang Kyun Lee, Yoo Jin Won, Jong-Ho Kim, Sung-Hyun Zhang, Zhaolei Kim, TaeHyung Kim, Dennis Dong Hwan Oncotarget Research Paper This study was performed to assess if a recently recommended genomic classification is predictive in patients with normal-karyotype (NK) acute myeloid leukemia (AML). A total of 393 patients were included. Analysis of genetic mutations was performed using targeted resequencing with an Illumina Hiseq 2000. We identified driver mutations across 40 genes, with one or more driver mutations identified in 95.7% of patients. The molecular subclassification was as follows: 34.6% patients (n = 136) with AML with the NPM1 mutation, 10.7% (n = 42) with AML with mutated chromatin or RNA-splicing genes or both, 1.5% (n = 6) with AML with TP53 mutations, 13.5% (n = 53) with AML with biallelic CEBPA mutations, 2.0% (n = 8) with AML with IDH2-R172 mutations and no other class-defining lesion, 29.5% (n = 116) with AML with driver mutations but no detected class-defining lesion, 4.3% (n = 17) with AML with no detected driver mutation, and 3.8% (n = 15) patients with AML who met the criteria for ≥2 genomic subgroups. The 5-year overall survival and relapse rate of subgroup in AML with mutated chromatin, RNA-splicing genes, or both was 11.6% (95% CI = 1.4–21.8%) and 71.4% (95% CI = 45.7–86.5%), respectively. This study suggests that the recently recommended genomic classification is an appropriate and replicable categorization system in the NK AML population. The subgroup of AML with mutated chromatin, RNA-splicing genes, or both showed extremely poor survival in NK-AML; thus, a novel approach is needed to improve their prognosis. Impact Journals LLC 2017-12-22 /pmc/articles/PMC5797026/ /pubmed/29435155 http://dx.doi.org/10.18632/oncotarget.23575 Text en Copyright: © 2018 Ahn et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Ahn, Jae-Sook
Kim, Hyeoung-Joon
Kim, Yeo-Kyeoung
Lee, Seung-Shin
Ahn, Seo-Yeon
Jung, Sung-Hoon
Yang, Deok-Hwan
Lee, Je-Jung
Park, Hee Jeong
Lee, Ja-Yeon
Choi, Seung Hyun
Jung, Chul Won
Jang, Jun-Ho
Kim, Hee Je
Moon, Joon Ho
Sohn, Sang Kyun
Lee, Yoo Jin
Won, Jong-Ho
Kim, Sung-Hyun
Zhang, Zhaolei
Kim, TaeHyung
Kim, Dennis Dong Hwan
Assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype
title Assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype
title_full Assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype
title_fullStr Assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype
title_full_unstemmed Assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype
title_short Assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype
title_sort assessment of a new genomic classification system in acute myeloid leukemia with a normal karyotype
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797026/
https://www.ncbi.nlm.nih.gov/pubmed/29435155
http://dx.doi.org/10.18632/oncotarget.23575
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