ArticlePloS one2019
Data analysis algorithm for the development of extracellular miRNA-based diagnostic systems for prostate cancer.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Exosomal Liquid Biopsy in Prostate Cancer: A Systematic Review of Biomarkers for Diagnosis, Prognosis, and Treatment Response.International journal of molecular sciences · 2025Pooled it
- MiRNA based liquid biopsy for castration-resistant prostate cancer diagnostics.Molecular and cellular biochemistry · 2026Article
- Recent progress in microRNA research for prostate cancer.Discover oncology · 2024Review
- Urinary extracellular vesicles miRNA-A new era of prostate cancer biomarkers.Frontiers in genetics · 2023Review
- Urinary microRNAs and Their Significance in Prostate Cancer Diagnosis: A 5-Year Update.Cancers · 2022Review
- MicroRNAs as Potential Liquid Biopsy Biomarker for Patients with Castration-Resistant Prostate Cancer.Research and reports in urology · 2022Article
- Article
- Urinary Extracellular Vesicles as Potential Biomarkers for Urologic Cancers: An Overview of Current Methods and Advances.Cancers · 2021Review
- Nanomaterials-Based Urinary Extracellular Vesicles Isolation and Detection for Non-invasive Auxiliary Diagnosis of Prostate Cancer.Frontiers in medicine · 2021Review
- The Influence of Radical Prostatectomy on the Expression of Cell-Free MiRNA.Diagnostics (Basel, Switzerland) · 2020Article
- The Panel of 12 Cell-Free MicroRNAs as Potential Biomarkers in Prostate Neoplasms.Diagnostics (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urine of prostate cancer (PCa) carries miRNAs originated from prostate cancer cells as a part of both nucleoprotein complexes and cell-secreted extracellular vesicles. The analysis of such miRNA-markers in urine can be a convenient option for PCa screening. The aims of this study were to reveal miRNA-markers of PCa in urine and design a robust and precise diagnostic test, based on miRNA expression analysis. The expression analysis of the 84 miRNAs in paired urine extracellular vesicles (EVs) and cell free urine supernatant samples from healthy donors, patients with benign and malignant prostate tumours was done using miRCURY LNA miRNA qPCR Panels (Exiqon, Denmark). Sets of miRNAs differentially expressed between the donor groups were found in urine EVs and urine supernatant. Diagnostically significant miRNAs were selected and algorithm of data analysis, based on expression data on 24-miRNA in urine and obtained using 17 analytical systems, was designed. The developed algorithm of data analysis describes a series of steps necessary to define cut-off values and sequentially analyze miRNA expression data according to the cut-offs to facilitate classification of subjects in case/control groups and allows to detect PCa patients with 97.5% accuracy.
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Registered trials
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