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  <ns1:general>
    <ns1:identifier>o:36612</ns1:identifier>
    <ns1:title language="en">Bioinformatics analysis of prostate cancer-related microRNA panel miR-141- 3p, miR-21-5p and miR-375-3p</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en"> Circulatory microRNAs are among the most extensively studied biomarker candidates 
for prostate cancer (PCa) diagnosis and monitoring through liquid biopsy. Besides their 
biomarker significance, regulatory properties of cell-free microRNAs became a subject of broader 
interest of researchers involved in the field of molecular basis of PCa. A set of circulatory 
microRNAs (miR-21-5p, miR-141-3p and miR-375-3p) was frequently reported as potentially 
valuable biomarker panel for PCa diagnosis and/or prognosis, including the extracellular vesicle 
(EV)-derived fraction. Since EVs act as major mediators of intercellular communication, the aim 
of the present study was to investigate functional properties of this microRNA panel via an in 
silico analysis. MicroRNA-mRNA network was constructed by using miRNet 2.0 with validated 
targets, while KEGG pathway and Gene Ontology (GO) enrichment analysis were used for 
exploring key biological processes (BP), cellular components (CC), and molecular functions (MF). 
KEGG pathway analysis revealed that the most enriched pathways are cancer-related, including 
the ‘pathways in cancer’ and ‘prostate cancer’. The BP analysis highlighted enrichment in terms 
related to cell cycle progression and cell division, EGFR signalling and intracellular protein 
transport and degradation. In the MF category, the potential targets of these microRNAs were 
predominantly linked to activation of signalling pathways, including nucleotide binding, kinase 
activity and ligase activity. After cross analysing the target gene list with the downregulated 
differentially expressed genes in PCa from TCGA database, 70 genes remained at cross section, 
with the largest GO enrichment effect determined for ‘Positive regulation of vascular endothelial 
growth factor production’ process. A broader protein-protein interaction (PPI) network 
constructed using STRING data identified 12 hub genes, which are concentrated on two cancer
related pathway terms: ‘pathways in cancer’ and ‘proteoglycans in cancer’. The presented results 
of bioinformatics analysis illustrate the biological relevance and highlight the potential functions 
of selected microRNA panel, supporting their possible roles as both biomarkers and regulators of 
malignant phenotype in PCa. </ns1:description>
    <ns1:keyword language="en">prostate cancer, microRNA, extracellular vesicles, gene ontology</ns1:keyword>
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      <ns2:resource>1552099</ns2:resource>
      <ns2:identifier>10.46793/ICCBIKG25.296D</ns2:identifier>
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    <ns1:upload_date>2025-10-02T11:27:46.016Z</ns1:upload_date>
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        <ns3:firstname>Zorana</ns3:firstname>
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        <ns3:lastname>Goč</ns3:lastname>
        <ns3:institution>University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia</ns3:institution>
        <ns3:title1>doktor bioloških nauka</ns3:title1>
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        <ns3:lastname>Matijašević Joković</ns3:lastname>
        <ns3:institution>University of Belgrade, Faculty of Biology, Centre for Human Molecular Genetics, Belgrade,  Serbia</ns3:institution>
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        <ns3:institution>University of Belgrade, Faculty of Biology, Centre for Human Molecular Genetics, Belgrade,  Serbia</ns3:institution>
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        <ns3:institution>University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia</ns3:institution>
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        <ns3:institution>University of Belgrade, Faculty of Biology, Centre for Human Molecular Genetics, Belgrade,  Serbia</ns3:institution>
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    <ns12:name_collection language="en">3rd International Conference on Chemo and BioInformatics, Book of Proceedings</ns12:name_collection>
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    <ns12:releaseyear>2025</ns12:releaseyear>
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