MicroRNAs and regulated interaction networks reveal differences between adult and pediatric acute myeloid leukemia.

Abstract

OBJECTIVES:

The purpose of this study was to identify featured microRNAs and their regulated network between adult and pediatric acute myeloid leukemia (AML) and find potential utility as biomarkers for diagnosis and treatment of pediatric AML.

METHODS:

We downloaded the microRNA expression dataset GSE35320 from Gene Expression Omnibus database and selected expression chips from bone marrow of 71 pediatric AML samples and 6 adulthood AML samples. Differentially expressed microRNAs were identified by Wilcox test. The target genes of these microRNAs were predicted using an integrative method and their functional enrichment analysis was performed using DAVID. Finally, STRING database and Cytoscape software was used to construct and analyze the interaction network.

RESULTS:

A total of 7 differentially expressed microRNAs were identified and the remarkably up-regulated and down-regulated microRNAs were miR-16 and miR-142-5p which included 323 and 22 predicted target genes, respectively. The target genes of 7 microRNAs were most associated with regulation of cell cycle, p53 signaling pathway, Wnt signaling pathway and neurotrophin signaling pathway. The interaction network of miR-16 target genes was constructed among 354 high confidence interaction pairs. The core genes of the network, such as TP53, BCL2, VEGFA, had a role in prognosis of children with AML.

CONCLUSIONS:

The featured microRNAs and their target genes are significant in the occurrence and development of pediatric AML, which is likely to be important for the identification of therapeutic targets and biomarkers for these patients.

• Authors: Jing Liu, Lei Zhou, Xiaomin Fu, Chen Xu, Sai Huang, Yan Li, Honghao Gao, Wei Guan, Lan Yang, Na Lv
• Journal: International journal of clinical and experimental pathology (Int J Clin Exp Pathol) Vol. 10 Issue 10 Pg. 10576-10583 ( 2017) ISSN: 1936-2625 [Electronic] United States
• PMID: 31966399 (Publication Type: Journal Article)
• Copyright: IJCEP Copyright © 2017.