ArticleScientific reports2020
Identification of candidate miRNAs in early-onset and late-onset prostate cancer by network analysis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Integrated miRNA Sequencing and Network Analysis Reveal a Molecular Continuum Between Peritumoral and Tumor Tissue in Prostate Cancer.International journal of molecular sciences · 2026Article
- miRNA-mediated resistance mechanisms in prostate cancer: implications for targeted therapy and metastatic progression.Medical oncology (Northwood, London, England) · 2025Review
- Tumor Suppressor MicroRNAs in Clinical and Preclinical Trials for Neurological Disorders.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Deregulated microRNAs Involved in Prostate Cancer Aggressiveness and Treatment Resistance Mechanisms.Cancers · 2023Review
- Article
- Bioinformatic Tools for the Analysis and Prediction of ncRNA Interactions.International journal of molecular sciences · 2021Review
- Coexpression network analysis identified lncRNAs-mRNAs with potential relevance in African ancestry prostate cancer.Future science OA · 2021Article
- The tumor suppressor miR-642a-5p targets Wilms Tumor 1 gene and cell-cycle progression in prostate cancer.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence of patients under 55 years old diagnosed with Prostate Cancer (EO-PCa) has increased during recent years. The molecular biology of PCa cancer in this group of patients remains unclear. Here, we applied weighted gene coexpression network analysis of the expression of miRNAs from 24 EO-PCa patients (38-45 years) and 25 late-onset PCa patients (LO-PCa, 71-74 years) to identify key miRNAs in EO-PCa patients. In total, 69 differentially expressed miRNAs were identified. Specifically, 26 and 14 miRNAs were exclusively deregulated in young and elderly patients, respectively, and 29 miRNAs were shared. We identified 20 hub miRNAs for the network built for EO-PCa. Six of these hub miRNAs exhibited prognostic significance in relapse-free or overall survival. Additionally, two of the hub miRNAs were coexpressed with mRNAs of genes previously identified as deregulated in EO-PCa and in the most aggressive forms of PCa in African-American patients compared with Caucasian patients. These genes are involved in activation of immune response pathways, increased rates of metastasis and poor prognosis in PCa patients. In conclusion, our analysis identified miRNAs that are potentially important in the molecular pathology of EO-PCa. These genes may serve as biomarkers in EO-PCa and as possible therapeutic targets.
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