ArticlePloS one2024
Use of extracellular vesicle microRNA profiles in patients with acute myeloid leukemia for the identification of novel biomarkers.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- miR-330-3p Inhibits the Development of Acute Myeloid Leukemia by Targeting SYTL4.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026Article
- Article
- The Exosome Landscape in Acute Myeloid Leukemia: From Molecular Mechanisms to Translational Frontiers.Genes · 2026Review
- Unveiling the role of microRNAs, the PI3K/AKT pathway, and their associations in various types of leukemia: a comprehensive review.Blood research · 2025Review
- Exosomal miRNA expression profiling in patients with imatinib resistant Chronic myeloid leukemia: A pilot study.PloS one · 2025Article
- Exosomal biomarkers in leukemia: translational potential and regulatory challenges for precision medicine applications.Frontiers in immunology · 2025Review
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Authors and funding
7 authors.
Funding
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Abstract
objectivesThis study aimed to establish clinically significant microRNA (miRNA) sets using extracellular vesicles (EVs) from bone marrow (BM) aspirates of patients with acute myelogenous leukemia (AML), and to identify the genes that interact with these EV-derived miRNAs in AML. MATERIALS AND
methodsBM aspirates were collected from 32 patients with AML at the time of AML diagnosis. EVs were isolated using size-exclusion chromatography. A total of 965 EV-derived miRNAs were identified in all the samples.
resultsWe analyzed the expression levels of these EV-derived miRNAs of the favorable (n = 10) and non-favorable (n = 22) risk groups; we identified 32 differentially expressed EV-derived miRNAs in the non-favorable risk group. The correlation of these miRNAs with risk stratification and patient survival was analyzed using the information of patients with AML from The Cancer Genome Atlas (TCGA) database. Of the miRNAs with downregulated expression in the non-favorable risk group, hsa-miR-181b and hsa-miR-143 were correlated with non-favorable risk and short overall survival. Regarding the miRNAs with upregulated expression in the non-favorable risk group, hsa-miR-188 and hsa-miR-501 were correlated with non-favorable risk and could predict poor survival. Through EV-derived miRNAs-mRNA network analysis using TCGA database, we identified 21 mRNAs that could be potential poor prognosis biomarkers.
conclusionsOverall, our findings revealed that EV-derived miRNAs can serve as biomarkers for risk stratification and prognosis in AML. In addition, these EV-derived miRNA-based bioinformatic analyses could help efficiently identify mRNAs with biomarker potential, similar to the previous cell-based approach.
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