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MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia

Acute myeloid leukemia (AML) requires refined risk stratification tools to drive decisions concerning effective therapeutic strategies. Here, genome-wide screening was carried out for identifying miRNA molecules capable of predicting treatment outcome in AML patients based on the TCGA dataset. We id...

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Autores principales: Niu, Mingshan, Zhang, Ninghan, Wang, Rong, Shao, Tingting, Feng, Yuan, Shen, Yangling, Liu, Xuejiao, Zhao, Kai, Zhu, Shengyun, Xu, Linyan, Yao, Yao, Xu, Kailin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798954/
https://www.ncbi.nlm.nih.gov/pubmed/31681594
http://dx.doi.org/10.3389/fonc.2019.01058
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author Niu, Mingshan
Zhang, Ninghan
Wang, Rong
Shao, Tingting
Feng, Yuan
Shen, Yangling
Liu, Xuejiao
Zhao, Kai
Zhu, Shengyun
Xu, Linyan
Yao, Yao
Xu, Kailin
author_facet Niu, Mingshan
Zhang, Ninghan
Wang, Rong
Shao, Tingting
Feng, Yuan
Shen, Yangling
Liu, Xuejiao
Zhao, Kai
Zhu, Shengyun
Xu, Linyan
Yao, Yao
Xu, Kailin
author_sort Niu, Mingshan
collection PubMed
description Acute myeloid leukemia (AML) requires refined risk stratification tools to drive decisions concerning effective therapeutic strategies. Here, genome-wide screening was carried out for identifying miRNA molecules capable of predicting treatment outcome in AML patients based on the TCGA dataset. We identified miR-340 as a prognostic factor for selecting treatment between chemotherapy and allogeneic transplantation (allo-HSCT). In multivariable analyses, low miR-340 expression independently predicted reduced OS (HR = 2.07, P = 0.004) and EFS (HR = 1.909, P = 0.01) independent of other well-known prognostic factors. Meanwhile, allo-HSCT overcome deleterious outcomes related to low miR-340. Cases administered allo-HSCT showed markedly improved OS (HR = 0.316, P < 0.0001) and EFS (HR = 0.391, P = 0.002) in comparison with those receiving chemotherapy in the low miR-340 group. Gene expression assessment revealed that elevated miR-340 amounts were negatively correlated with HOXA/HOXB cluster levels, as well as the amounts of the HOX cofactor MEIS1. Strikingly, in silico analysis pointing to HOXA10, HOXB2, and MEIS1 as miR-340 targets. The miR-340 expression may help identify cases requiring strategies for selecting the optimal therapeutic option between chemotherapy and allo-HCST. AML cases showing low miR-340 levels should be strongly considered for early allo-HSCT treatment.
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spelling pubmed-67989542019-11-01 MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia Niu, Mingshan Zhang, Ninghan Wang, Rong Shao, Tingting Feng, Yuan Shen, Yangling Liu, Xuejiao Zhao, Kai Zhu, Shengyun Xu, Linyan Yao, Yao Xu, Kailin Front Oncol Oncology Acute myeloid leukemia (AML) requires refined risk stratification tools to drive decisions concerning effective therapeutic strategies. Here, genome-wide screening was carried out for identifying miRNA molecules capable of predicting treatment outcome in AML patients based on the TCGA dataset. We identified miR-340 as a prognostic factor for selecting treatment between chemotherapy and allogeneic transplantation (allo-HSCT). In multivariable analyses, low miR-340 expression independently predicted reduced OS (HR = 2.07, P = 0.004) and EFS (HR = 1.909, P = 0.01) independent of other well-known prognostic factors. Meanwhile, allo-HSCT overcome deleterious outcomes related to low miR-340. Cases administered allo-HSCT showed markedly improved OS (HR = 0.316, P < 0.0001) and EFS (HR = 0.391, P = 0.002) in comparison with those receiving chemotherapy in the low miR-340 group. Gene expression assessment revealed that elevated miR-340 amounts were negatively correlated with HOXA/HOXB cluster levels, as well as the amounts of the HOX cofactor MEIS1. Strikingly, in silico analysis pointing to HOXA10, HOXB2, and MEIS1 as miR-340 targets. The miR-340 expression may help identify cases requiring strategies for selecting the optimal therapeutic option between chemotherapy and allo-HCST. AML cases showing low miR-340 levels should be strongly considered for early allo-HSCT treatment. Frontiers Media S.A. 2019-10-11 /pmc/articles/PMC6798954/ /pubmed/31681594 http://dx.doi.org/10.3389/fonc.2019.01058 Text en Copyright © 2019 Niu, Zhang, Wang, Shao, Feng, Shen, Liu, Zhao, Zhu, Xu, Yao and Xu. http://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
Niu, Mingshan
Zhang, Ninghan
Wang, Rong
Shao, Tingting
Feng, Yuan
Shen, Yangling
Liu, Xuejiao
Zhao, Kai
Zhu, Shengyun
Xu, Linyan
Yao, Yao
Xu, Kailin
MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia
title MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia
title_full MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia
title_fullStr MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia
title_full_unstemmed MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia
title_short MiR-340 Is a Biomarker for Selecting Treatment Between Chemotherapy and Allogeneic Transplantation in Acute Myeloid Leukemia
title_sort mir-340 is a biomarker for selecting treatment between chemotherapy and allogeneic transplantation in acute myeloid leukemia
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798954/
https://www.ncbi.nlm.nih.gov/pubmed/31681594
http://dx.doi.org/10.3389/fonc.2019.01058
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