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MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...

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Related Experiment Video

Updated: May 28, 2026

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

Tissue microRNA Profiling Identifies Prognostic Signatures in Prostate Cancer and Highlights CPEB3 as a Candidate

Jae-Heon Kim¹, Ah-Rim Moon², Miho Song¹

¹Department of Urology, Soonchunhyang University School of Medicine, Seoul 04404, Republic of Korea.

|May 27, 2026

Summary

This summary is machine-generated.

This study identified specific microRNAs (miRNAs) linked to prostate cancer aggressiveness. Downregulated miR-206 and upregulated miR-25-3p show potential as prognostic biomarkers for better patient outcomes.

Keywords:

CPEB3 biochemical recurrence microRNA next-generation sequencing prostate cancer

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Last Updated: May 28, 2026

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

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Published on: September 8, 2015

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)

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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

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Area of Science:

Oncology
Molecular Biology
Genetics

Background:

Prostate cancer prognosis relies on suboptimal methods.
MicroRNAs (miRNAs) are implicated in prostate cancer progression.
Identifying novel prognostic biomarkers is crucial for patient management.

Purpose of the Study:

To identify microRNAs (miRNAs) associated with adverse clinical outcomes in prostate cancer.
To compare miRNA expression profiles between tumors with favorable and unfavorable prognostic features.
To discover potential miRNA biomarkers for prostate cancer aggressiveness.

Main Methods:

High-throughput next-generation sequencing (NGS) analyzed miRNA expression in prostate cancer tissues.
Patients were stratified into favorable and unfavorable prognosis groups.
Differential expression analysis identified significant miRNAs (fold-change ≥2, FDR <0.05).

Main Results:

Several miRNAs were differentially expressed based on prognostic category.
miR-206 was downregulated in high-risk tumors; miR-7704 and miR-4454 were reduced in high-Gleason-grade tumors.
miR-25-3p and let-7f-5p were upregulated; miR-7704 and miR-10400-5p were downregulated in patients with early recurrence.

Conclusions:

Distinct miRNA expression patterns correlate with prostate cancer aggressiveness.
miR-206, miR-7704, miR-4454, miR-25-3p, and let-7f-5p are candidate prognostic biomarkers.
CPEB3 is a prioritized candidate target for future research, requiring validation in larger cohorts.