
<ns0:uwmetadata xmlns:ns0="http://phaidra.univie.ac.at/XML/metadata/V1.0" xmlns:ns1="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0" xmlns:ns10="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0" xmlns:ns11="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0/entity" xmlns:ns12="http://phaidra.univie.ac.at/XML/metadata/digitalbook/V1.0" xmlns:ns13="http://phaidra.univie.ac.at/XML/metadata/etheses/V1.0" xmlns:ns2="http://phaidra.univie.ac.at/XML/metadata/extended/V1.0" xmlns:ns3="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/entity" xmlns:ns4="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/requirement" xmlns:ns5="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/educational" xmlns:ns6="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/annotation" xmlns:ns7="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/classification" xmlns:ns8="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/organization" xmlns:ns9="http://phaidra.univie.ac.at/XML/metadata/histkult/V1.0">
  <ns1:general>
    <ns1:identifier>o:36610</ns1:identifier>
    <ns1:title language="en">Identification of potential microRNA biomarkers for early diagnosis of  hepatocellular carcinoma applying bioinformatics approaches </ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality 
worldwide, largely due to limited tools for early detection and the asymptomatic nature of early
stage disease. Circulating microRNAs (miRNAs) have emerged as promising non‐invasive 
biomarkers because of their high stability in body fluids and disease‐specific expression patterns. 
In this study, we performed an in silico analysis of serum miRNA expression profiles using the 
Gene Expression Omnibus (GEO) dataset GSE113740, which included 40 patients with HCC and 
10 healthy controls. A total of 257 differentially expressed miRNAs were identified, of which 
seven (hsa‐miR‐885‐3p, hsa‐miR‐320a, hsa‐miR‐744‐5p, hsa‐miR‐221‐3p, hsa‐miR‐561‐3p, 
hsa‐miR‐124‐3p, and hsa‐miR‐637) were prioritized based on network metrics, including the 
number of single‐line regulators (NSR) and transcription factor percentage (TFR) (p &lt; 0.05). The 
majority have previously been reported as functionally associated with HCC. Meta‐profile 
analysis across 40 cancer types revealed distinct liver cancer‐specific expression for five of these 
miRNAs (hsa-miR-885-3p, hsa-miR-320a, hsa-miR-744-5p, has-miR-221-3p, and has-miR-124-3p). 
Network topology and pathway enrichment highlighted key regulatory hubs and cancer‐related 
targets. Ultimately, four miRNAs (hsa‐miR‐885‐3p, hsa‐miR‐320a, hsa‐miR‐744‐5p, and 
hsa‐miR‐124‐3p) emerged as promising diagnostic biomarkers for early HCC detection.</ns1:description>
    <ns1:keyword language="en"> hepatocellular carcinoma, microRNA, biomarker</ns1:keyword>
    <ns2:identifiers>
      <ns2:resource>1552099</ns2:resource>
      <ns2:identifier>10.46793/ICCBIKG25.288G</ns2:identifier>
    </ns2:identifiers>
  </ns1:general>
  <ns1:lifecycle>
    <ns1:upload_date>2025-10-02T11:07:14.848Z</ns1:upload_date>
    <ns1:status>44</ns1:status>
    <ns2:peer_reviewed>yes</ns2:peer_reviewed>
    <ns1:contribute seq="0">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Sanja</ns3:firstname>
        <ns3:lastname>Goč</ns3:lastname>
        <ns3:institution>University of Belgrade, Institute for the Application of Nuclear Energy, Serbia</ns3:institution>
        <ns3:title1>dr bioloških nauka</ns3:title1>
        <ns3:orcid>0000-0002-6104-693X</ns3:orcid>
      </ns1:entity>
      <ns1:entity seq="1">
        <ns3:firstname>Zorana</ns3:firstname>
        <ns3:lastname>Dobrijević</ns3:lastname>
        <ns3:institution>University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia</ns3:institution>
        <ns3:title1>dr bioloških nauka</ns3:title1>
        <ns3:type>person</ns3:type>
        <ns3:orcid>0000-0002-4652-7719</ns3:orcid>
      </ns1:entity>
      <ns1:entity seq="2">       
 <ns3:firstname>Tamara</ns3:firstname>
        <ns3:lastname>Janković</ns3:lastname>
        <ns3:institution> University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia</ns3:institution>
        <ns3:title1>Magistar farmacije-medicinski biohemičar</ns3:title1>
        <ns3:type>person</ns3:type>
        <ns3:orcid>0000-0002-8188-0921</ns3:orcid>
      </ns1:entity>
      <ns1:entity seq="3">
        <ns3:firstname>Filip</ns3:firstname>
        <ns3:lastname>Janjić</ns3:lastname>
        <ns3:institution> University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia</ns3:institution>
        <ns3:title1>dr medicinskih nauka-veterinarska medicina</ns3:title1>
        <ns3:type>person</ns3:type>
        <ns3:orcid>0000-0002-5121-1145</ns3:orcid>
      </ns1:entity>
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        <ns3:firstname>Ninoslav</ns3:firstname>
        <ns3:lastname>Mitić</ns3:lastname>
        <ns3:institution> University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia</ns3:institution>
        <ns3:title1>dr bioloških nauka</ns3:title1>
        <ns3:type>person</ns3:type>
        <ns3:orcid>0000-0003-2756-6517</ns3:orcid>
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        <ns3:firstname>Miroslava</ns3:firstname>
        <ns3:lastname>Janković</ns3:lastname>
        <ns3:institution>University of Belgrade, Institute for the Application of Nuclear Energy INEP, Serbia</ns3:institution>
        <ns3:title1>dr bioloških nauka</ns3:title1>
        <ns3:type>person</ns3:type>
        <ns3:orcid>0000-0002-7889-5110</ns3:orcid>
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    <ns12:name_magazine language="en">Identification of potential microRNA biomarkers for early diagnosis of hepatocellular carcinoma applying bioinformatics approaches</ns12:name_magazine>
    <ns12:from_page>289</ns12:from_page>
    <ns12:to_page>293</ns12:to_page>
    <ns12:name_collection language="en">3rd International Conference on Chemo and BioInformatics, Book of Proceedings</ns12:name_collection>
    <ns12:publisher>Institut za informacione tehnologije, Univerzitet u Kragujevcu, Srbija</ns12:publisher>
    <ns12:releaseyear>2025</ns12:releaseyear>
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