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Integrative analysis of tissue and circulating miRNAs as biomarkers for progression and survival in hepatocellular carcinoma

  • Abdullah Jabri
  • , Abdulaziz Mhannayeh
  • , Mohamed Alsharif
  • , Bader Taftafa
  • , Tooba Mujtaba
  • , Arshiya Akbar
  • , Ahmed Abu-zaid
  • , Tanveer Ahmad Mir
  • , Mohammad Imran Khan
  • , Firoz Ahmed
  • , Itika Arora
  • , Ahmed Yaqinuddin
  • College of Medicine Alfaisal University
  • King Faisal Specialist Hospital and Research Center
  • University of Jeddah
  • Department of Epidemiology and Public Health

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, with limited biomarkers available for early diagnosis and risk stratification. In this study, we performed an integrative analysis of tissue and circulating microRNA (miRNA) expression profiles to identify candidates linked to disease progression and clinical outcomes. Tumor miRNA data from The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) and serum miRNA data from the Gene Expression Omnibus (GSE113740) were analyzed using differential expression, survival analysis, functional enrichment, and clinical subgroup evaluation. We identified 16 significantly dysregulated miRNAs in HCC tissues, including hsa-miR-187 and hsa-miR-6718, which were associated with poor survival, and hsa-miR-5589, which showed a protective effect. Clinical analyses revealed stage-specific upregulation of hsa-miR-106b and downregulation of the hsa-miR-124 family in metastatic tumors. Functional enrichment highlighted pathways such as PI3K-Akt, MAPK signalling, and nucleocytoplasmic transport. Circulating miRNAs, including hsa-miR-3619-3p, hsa-miR-1290, and hsa-miR-1185-2-3p, correlated with AFP levels and disease stage, underscoring their value as non-invasive biomarkers. These findings demonstrate that integrated analysis of tissue and serum miRNAs can identify clinically relevant biomarkers and potential therapeutic targets in HCC.

Original languageBritish English
Pages (from-to)167-177
Number of pages11
JournalNon-coding RNA Research
Volume16
DOIs
StatePublished - Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Bioinformatics
  • Biomarkers
  • Hepatocellular carcinoma
  • miRNA
  • Survival analysis
  • TCGA

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