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Updated: Jun 27, 2026

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
MicroRNA Biogenesis Pathway Gene Variants Are Associated with Prostate Cancer Susceptibility
Irina Gilyazova1,2, Yanina Timasheva1,2, Elizaveta Ivanova3
1Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.
Genetic variations in microRNA (miRNA) biogenesis genes increase prostate cancer (PrC) risk. A polygenic risk score (PRS) combining these variations significantly predicts PrC susceptibility, especially in diverse populations.
Area of Science:
- Genetics
- Oncology
- Molecular Biology
Background:
- Prostate cancer (PrC) is a prevalent male malignancy globally.
- Genetic factors influencing PrC risk are not fully understood, particularly in diverse ethnic groups.
- The role of genetic variations in microRNA (miRNA) biogenesis pathways in PrC susceptibility requires further investigation.
Purpose of the Study:
- To investigate the association between genetic variations in miRNA biogenesis pathway genes and PrC risk.
- To evaluate the utility of polygenic risk scores (PRSs) for predicting PrC susceptibility.
- To assess the combined predictive value of PRS and prostate-specific antigen (PSA) for PrC.
Main Methods:
- A case-control study was conducted with 532 PrC patients and 550 controls from the Volga-Ural region.
- Twenty-one single nucleotide polymorphisms (SNPs) in miRNA biogenesis genes were analyzed using single-variant and polygenic approaches.
- Weighted and unweighted polygenic risk scores (PRSs) were constructed and evaluated for association with PrC risk and discriminatory performance.
Main Results:
- The SNP rs595055 in the AGO1 gene was significantly associated with PrC risk after multiple testing correction.
- The weighted PRS demonstrated a strong association with PrC risk (OR per SD increase = 1.63, P = 1.37 × 10^-13) and moderate discriminatory performance (AUC = 63.1%).
- Individuals in the highest PRS quartile had threefold higher odds of PrC compared to the lowest quartile. Combining PRS with PSA improved discrimination (AUC = 68.1%).
Conclusions:
- Genetic variations within miRNA biogenesis pathway genes contribute to prostate cancer susceptibility.
- Pathway-based polygenic risk stratification shows promise for identifying individuals at higher risk, particularly in understudied populations.
- The developed PRS, especially when combined with PSA, can enhance PrC risk prediction.
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