Use of extracellular vesicle microRNA profiles in patients with acute myeloid leukemia for the identification of novel biomarkers

This 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. BM aspirates were collected fr...

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Published in:PloS one 2024-08, Vol.19 (8), p.e0306962
Main Authors: Kang, Ka-Won, Gim, Jeong-An, Hong, Sunghoi, Kim, Hyun Koo, Choi, Yeonho, Park, Ji-Ho, Park, Yong
Format: Article
Language:English
Subjects:
Acute myeloid leukemia
Adult
Aged
Antibodies
Biological markers
Biomarkers
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Bone marrow
Cancer
Cell organelles
Chromatography
Correlation
Extracellular vesicles
Extracellular Vesicles - genetics
Extracellular Vesicles - metabolism
Female
Gene expression
Gene Expression Profiling
Genomes
Health aspects
Humans
Leukemia
Leukemia, Myeloid, Acute - diagnosis
Leukemia, Myeloid, Acute - genetics
Leukemia, Myeloid, Acute - metabolism
Leukemia, Myeloid, Acute - pathology
Male
Measurement
Medical prognosis
MicroRNA
MicroRNAs
MicroRNAs - genetics
MicroRNAs - metabolism
Middle Aged
miRNA
Molecular weight
mRNA
Network analysis
Oncology, Experimental
Pathogenesis
Patients
Plasma
Prognosis
Proteins
Ribonucleic acid
Risk groups
RNA
Size exclusion chromatography
Software
Survival
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Gim, Jeong-An
Hong, Sunghoi
Kim, Hyun Koo
Choi, Yeonho
Park, Ji-Ho
Park, Yong
description This 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. BM 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. We 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. Overall, 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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subjects Acute myeloid leukemia
Adult
Aged
Antibodies
Biological markers
Biomarkers
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Bone marrow
Cancer
Cell organelles
Chromatography
Correlation
Extracellular vesicles
Extracellular Vesicles - genetics
Extracellular Vesicles - metabolism
Female
Gene expression
Gene Expression Profiling
Genomes
Health aspects
Humans
Leukemia
Leukemia, Myeloid, Acute - diagnosis
Leukemia, Myeloid, Acute - genetics
Leukemia, Myeloid, Acute - metabolism
Leukemia, Myeloid, Acute - pathology
Male
Measurement
Medical prognosis
MicroRNA
MicroRNAs
MicroRNAs - genetics
MicroRNAs - metabolism
Middle Aged
miRNA
Molecular weight
mRNA
Network analysis
Oncology, Experimental
Pathogenesis
Patients
Plasma
Prognosis
Proteins
Ribonucleic acid
Risk groups
RNA
Size exclusion chromatography
Software
Survival
title Use of extracellular vesicle microRNA profiles in patients with acute myeloid leukemia for the identification of novel biomarkers
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