Skip to main content

ORIGINAL RESEARCH article

Front. Cell Death
Sec. Apoptosis
Volume 3 - 2024 | doi: 10.3389/fceld.2024.1503241
This article is part of the Research Topic Hot Topics in Cell Death 2023: Circular and Non-Coding Endogenous RNA in Cancer Progression View all articles

Identification of miR-342-5p/MDM4/p53 network in acute myeloid leukemia

Provisionally accepted
Sema MISIR Sema MISIR 1*Serap Ozer Yaman Serap Ozer Yaman 2Ceylan Hepokur Ceylan Hepokur 1Osman Akidan Osman Akidan 3Yuksel Aliyazicioglu Yuksel Aliyazicioglu 2Francisco J. Enguita Francisco J. Enguita 4Mazhar Salim Al Zoubi Mazhar Salim Al Zoubi 5
  • 1 Cumhuriyet University, Sivas, Türkiye
  • 2 Karadeniz Technical University, Trabzon, Trabzon, Türkiye
  • 3 Mengücek Gazi Education and Research Hospital, Erzincan, Türkiye
  • 4 University of Lisbon, Lisbon, Lisboa, Portugal
  • 5 Yarmouk University, Irbid, Irbid, Jordan

The final, formatted version of the article will be published soon.

    Acute myeloid leukemia (AML) is one of the most prevalent hematological malignancies. miRNAs are involved in cancer initiation and progression in various cancer types by post-transcriptional regulation of gene expression. The aim of this study is to investigate the mechanisms in the development and progression of acute myeloid leukemia and to identify potential target genes and miRNAs by bioinformatic analysis. miRNA expression profiles were obtained from the GSE51908 dataset on the Gene Expression Omnibus (GEO). GEO2R was used to identify differentially expressed miRNAs. The diagnostic and overall survival effects of the identified miRNA were determined using ROC analysis and Kaplan-Meier curve, respectively. Putative miRNA targets were determined based on miRWalk and miRDB tools. The expression change and overall survival analysis of the identified target gene were analyzed by Gene Expression Profiling Interactive Analysis (GEPIA). Protein-protein interaction (PPI) networks of the target gene were determined using STRING and GeneMANIA. Functional enrichment analysis was performed using the DAVID program. 24 DE-miRNAs were identified, including 16 upregulated and 8 downregulated genes. miR-342-5p expression had significantly shorter survival than those in higher expression control group (p = 0.0001), and its AUC value to discriminate AML from control groups was 0.795. High expression of MDM4 predicts an unfavorable prognosis in AML patients. The MDM4 gene was determined to be associated with decreased survival rates. According to KEGG results, microRNAs, p53 signaling pathway, and cell cycle are associated with AML development. The current study based on the GEO database, miR-342-5p/MDM4/p53 axis AML may provide new therapeutic targets.

    Keywords: Acute Myeloid Leukemia, biomarkers, bioinformatics, non-coding RNAs, miRNA

    Received: 28 Sep 2024; Accepted: 31 Oct 2024.

    Copyright: © 2024 MISIR, Ozer Yaman, Hepokur, Akidan, Aliyazicioglu, Enguita and Al Zoubi. 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) or licensor 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.

    * Correspondence: Sema MISIR, Cumhuriyet University, Sivas, Türkiye

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.