ArticleScientific reports2022
Circulating microRNA sequencing revealed miRNome patterns in hematology and oncology patients aiding the prognosis of invasive aspergillosis.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Review
- Candidate miRNA Regulators of Blood Transcriptional Signatures for Differential Diagnosis of Chronic Lymphocytic Leukemia and Multiple Myeloma: A Comprehensive In Silico Study.Current issues in molecular biology · 2026Article
- The Role of microRNAs and Cell-Free DNAs in Fungal Infections: Systematic Review and Meta-Analysis of the Literature.Journal of fungi (Basel, Switzerland) · 2025Review
- Identification of an Exosomal miRNA Signature in Newly Diagnosed Essential Hypertensive Adults.British journal of biomedical science · 2025Article
- MicroRNA expression profile of alveolar epithelial cells infected with Aspergillus fumigatus.Journal of applied genetics · 2024Article
- MicroRNAs in infectious diseases: potential diagnostic biomarkers and therapeutic targets.Clinical microbiology reviews · 2023Review
- Sonobiopsy for enrichment of circulating microRNAs in glioma patients.Neuro-oncology advancesArticle
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
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Abstract
Invasive aspergillosis (IA) may occur as a serious complication of hematological malignancy. Delays in antifungal therapy can lead to an invasive disease resulting in high mortality. Currently, there are no well-established blood circulating microRNA biomarkers or laboratory tests which can be used to diagnose IA. Therefore, we aimed to define dysregulated miRNAs in hematology and oncology (HO) patients to identify biomarkers predisposing disease. We performed an in-depth analysis of high-throughput small transcriptome sequencing data obtained from the whole blood samples of our study cohort of 50 participants including 26 high-risk HO patients and 24 controls. By integrating in silico bioinformatic analyses of small noncoding RNA data, 57 miRNAs exhibiting significant expression differences (P < 0.05) were identified between IA-infected patients and non-IA HO patients. Among these, we found 36 differentially expressed miRNAs (DEMs) irrespective of HO malignancy. Of the top ranked DEMs, we found 14 significantly deregulated miRNAs, whose expression levels were successfully quantified by qRT-PCR. MiRNA target prediction revealed the involvement of IA related miRNAs in the biological pathways of tumorigenesis, the cell cycle, the immune response, cell differentiation and apoptosis.
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