Identification of potential microRNA biomarkers for early diagnosis of hepatocellular carcinoma applying bioinformatics approaches
Goč, Sanja
Mitić, Ninoslav
Janković, Tamara
Dobrijević, Zorana
Janjić, Filip
Janković, Miroslava
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 < 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.
engleski
2025
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Creative Commons CC BY-NC-ND 4.0 - Creative Commons Autorstvo - Nekomercijalno - Bez prerada 4.0 International License.
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
hepatocellular carcinoma, microRNA, biomarker