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Updated: Jan 26, 2026
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miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
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Data analysis algorithm for the development of extracellular miRNA-based diagnostic systems for prostate cancer
O E Bryzgunova1,2, I A Zaporozhchenko1,2, E A Lekchnov1,2
1The Laboratory of Molecular Medicine, Institute of Chemical Biology and Fundamental Medicine SB RAS, Novosibirsk, Russia.
Plos One
|April 11, 2019
Summary
Urine analysis reveals specific microRNA (miRNA) signatures for prostate cancer (PCa) detection. A novel diagnostic algorithm using 24 urinary miRNAs achieves 97.5% accuracy in identifying PCa patients.
Area of Science:
- Oncology
- Molecular Diagnostics
- Biochemistry
Background:
- Prostate cancer (PCa) detection often relies on invasive methods.
- Urinary microRNAs (miRNAs) show promise as non-invasive biomarkers for PCa.
- Extracellular vesicles and cell-free supernatants in urine contain cancer-derived miRNAs.
Purpose of the Study:
- To identify specific miRNA biomarkers in urine for prostate cancer.
- To develop a precise and robust diagnostic test for PCa using urinary miRNA expression.
- To evaluate the diagnostic accuracy of the developed miRNA-based test.
Main Methods:
- Analysis of 84 miRNAs in urine extracellular vesicles (EVs) and cell-free supernatant from healthy donors and patients with benign/malignant prostate tumors.
- Utilized miRCURY LNA miRNA qPCR Panels for expression analysis.
- Developed a data analysis algorithm based on 24 differentially expressed miRNAs.
Main Results:
- Identified distinct sets of differentially expressed miRNAs in both urine EVs and supernatant between patient groups.
- Selected diagnostically significant miRNAs for the test.
- The developed algorithm achieved 97.5% accuracy in detecting prostate cancer patients.
Conclusions:
- Urinary miRNAs are reliable biomarkers for non-invasive prostate cancer screening.
- The developed 24-miRNA expression analysis algorithm provides a highly accurate diagnostic tool for PCa.
- This miRNA-based approach offers a convenient and precise method for PCa detection.
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