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A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients
Core Binding Factor (CBF)-AML is one of the most common somatic mutations in acute myeloid leukemia (AML). t(8;21)/AML1-ETO-positive acute myeloid leukemia accounts for 5-10% of all AMLs. In this study, we consecutively included 254 AML1-ETO patients diagnosed and treated at our institute from Decem...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796117/ https://www.ncbi.nlm.nih.gov/pubmed/35096581 http://dx.doi.org/10.3389/fonc.2021.783114 |
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author | Yang, Min Zhao, Bide Wang, Jinghan Zhang, Yi Hu, Chao Liu, Lixia Qin, Jiayue Lou, Feng Cao, Shanbo Wang, Chengcheng Yu, Wenjuan Tong, Hongyan Meng, Haitao Huang, Jian Zhu, Honghu Jin, Jie |
author_facet | Yang, Min Zhao, Bide Wang, Jinghan Zhang, Yi Hu, Chao Liu, Lixia Qin, Jiayue Lou, Feng Cao, Shanbo Wang, Chengcheng Yu, Wenjuan Tong, Hongyan Meng, Haitao Huang, Jian Zhu, Honghu Jin, Jie |
author_sort | Yang, Min |
collection | PubMed |
description | Core Binding Factor (CBF)-AML is one of the most common somatic mutations in acute myeloid leukemia (AML). t(8;21)/AML1-ETO-positive acute myeloid leukemia accounts for 5-10% of all AMLs. In this study, we consecutively included 254 AML1-ETO patients diagnosed and treated at our institute from December 2009 to March 2020, and evaluated molecular mutations by 185-gene NGS platform to explore genetic co-occurrences with clinical outcomes. Our results showed that high KIT VAF(≥15%) correlated with shortened overall survival compared to other cases with no KIT mutation (3-year OS rate 26.6% vs 59.0% vs 69.6%, HR 1.50, 95%CI 0.78-2.89, P=0.0005). However, no difference was found in patients’ OS whether they have KIT mutation in two or three sites. Additionally, we constructed a risk model by combining clinical and molecular factors; this model was validated in other independent cohorts. In summary, our study showed that c-kit other than any other mutations would influence the OS in AML1-ETO patients. A proposed predictor combining both clinical and genetic factors is applicable to prognostic prediction in AML1-ETO patients. |
format | Online Article Text |
id | pubmed-8796117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87961172022-01-29 A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients Yang, Min Zhao, Bide Wang, Jinghan Zhang, Yi Hu, Chao Liu, Lixia Qin, Jiayue Lou, Feng Cao, Shanbo Wang, Chengcheng Yu, Wenjuan Tong, Hongyan Meng, Haitao Huang, Jian Zhu, Honghu Jin, Jie Front Oncol Oncology Core Binding Factor (CBF)-AML is one of the most common somatic mutations in acute myeloid leukemia (AML). t(8;21)/AML1-ETO-positive acute myeloid leukemia accounts for 5-10% of all AMLs. In this study, we consecutively included 254 AML1-ETO patients diagnosed and treated at our institute from December 2009 to March 2020, and evaluated molecular mutations by 185-gene NGS platform to explore genetic co-occurrences with clinical outcomes. Our results showed that high KIT VAF(≥15%) correlated with shortened overall survival compared to other cases with no KIT mutation (3-year OS rate 26.6% vs 59.0% vs 69.6%, HR 1.50, 95%CI 0.78-2.89, P=0.0005). However, no difference was found in patients’ OS whether they have KIT mutation in two or three sites. Additionally, we constructed a risk model by combining clinical and molecular factors; this model was validated in other independent cohorts. In summary, our study showed that c-kit other than any other mutations would influence the OS in AML1-ETO patients. A proposed predictor combining both clinical and genetic factors is applicable to prognostic prediction in AML1-ETO patients. Frontiers Media S.A. 2022-01-14 /pmc/articles/PMC8796117/ /pubmed/35096581 http://dx.doi.org/10.3389/fonc.2021.783114 Text en Copyright © 2022 Yang, Zhao, Wang, Zhang, Hu, Liu, Qin, Lou, Cao, Wang, Yu, Tong, Meng, Huang, Zhu and Jin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Yang, Min Zhao, Bide Wang, Jinghan Zhang, Yi Hu, Chao Liu, Lixia Qin, Jiayue Lou, Feng Cao, Shanbo Wang, Chengcheng Yu, Wenjuan Tong, Hongyan Meng, Haitao Huang, Jian Zhu, Honghu Jin, Jie A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients |
title | A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients |
title_full | A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients |
title_fullStr | A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients |
title_full_unstemmed | A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients |
title_short | A Predictor Combining Clinical and Genetic Factors for AML1-ETO Leukemia Patients |
title_sort | predictor combining clinical and genetic factors for aml1-eto leukemia patients |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796117/ https://www.ncbi.nlm.nih.gov/pubmed/35096581 http://dx.doi.org/10.3389/fonc.2021.783114 |
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