Bioinformatics-driven identification of key non-invasive prognostic biomarkers in hepatocellular carcinoma

Abstract Background Hepatocellular carcinoma is a highly encountered primary liver malignancy, currently ranked as the third major contributor to death worldwide. This research endeavoured to establish non-invasive prognostic determinants of hepatocellular carcinoma (HCC) and characterise their underpinning molecular mechanisms. Methods Publicly available microarray data within the Gene Expression Omnibus repository were analysed to determine genetic elements that were differentially expressed. We subsequently developed a network of protein–protein interactions and established the densely interconnected clusters (core genes) underlying the network using these differentially expressed genes (DEGs). The prognostic significance of individual core gene was characterised by evaluating its impact on overall survival in HCC. The levels of expression of these core genes underwent further verification from a proteomic perspective by utilising The Human Protein Atlas (HPA) and evaluated for their link with immune cell trafficking within HCC tissues. Results Four core genes ( GTF2H1 , SF3A3 , FANCI , and XRCC5 ) were identified, which have been associated with HCC and play significant roles in immune cell trafficking through a positive correlation with neutrophils, dendritic cells, and macrophages. Furthermore, GTF2H1 exhibited positive correlations with genetic markers of M1 macrophages ( IRF5 ), dendritic cells ( NRP1 ), and Th1 cells ( STAT1 ); SF3A3 with dendritic cells ( NRP1 ) and PDL1 ( CD274 ); FANCI with M1 macrophages ( IRF5 ); and XRCC5 with PDL1 ( CD274 ) and Th1 cells ( STAT1 ), implying that these core genes might influence or be involved in immune response pathways by promoting immune cell activity. Using the HPA protein expression database, immunohistochemistry findings reaffirmed that the four genes’ expressed protein levels were more elevated in HCC than in healthy hepatocytes. Conclusion Our prognostic signature and immune infiltration provided novel insights into prognostic indicators and potential immunotherapeutic targets for HCC. Future research endeavours are warranted to explore further the clinical importance, applicability, and therapeutic consequences of the identified biomarkers in larger cohorts.

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Publication Details

Journal
Egyptian Journal of Medical Human Genetics
Published
2025-04-29
DOI
https://doi.org/10.1186/s43042-025-00714-7
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Bioinformatics-driven identification of key non-invasive prognostic biomarkers in hepatocellular carcinoma

Ryia Illani Mohd Yunos, Mira Farzana Mohamad Mokhtar, Shing Cheng Tan, Nur Alyaa Afifah Md Shahri et al.
Egyptian Journal of Medical Human Genetics
Ferroptosis and cancer prognosis
article

Bioinformatics-driven identification of key non-invasive prognostic biomarkers in hepatocellular carcinoma

Ryia Illani Mohd Yunos, Mira Farzana Mohamad Mokhtar, Shing Cheng Tan, Nur Alyaa Afifah Md Shahri, Nurul‐Syakima Ab Mutalib, Rahman Jamal, Muhammad Irfan Abdul Jalal, Muhammad‐Redha Abdullah‐Zawawi, Loscheni Varma
article en

Abstract

Abstract Background Hepatocellular carcinoma is a highly encountered primary liver malignancy, currently ranked as the third major contributor to death worldwide. This research endeavoured to establish non-invasive prognostic determinants of hepatocellular carcinoma (HCC) and characterise their underpinning molecular mechanisms. Methods Publicly available microarray data within the Gene Expression Omnibus repository were analysed to determine genetic elements that were differentially expressed. We subsequently developed a network of protein–protein interactions and established the densely interconnected clusters (core genes) underlying the network using these differentially expressed genes (DEGs). The prognostic significance of individual core gene was characterised by evaluating its impact on overall survival in HCC. The levels of expression of these core genes underwent further verification from a proteomic perspective by utilising The Human Protein Atlas (HPA) and evaluated for their link with immune cell trafficking within HCC tissues. Results Four core genes ( GTF2H1 , SF3A3 , FANCI , and XRCC5 ) were identified, which have been associated with HCC and play significant roles in immune cell trafficking through a positive correlation with neutrophils, dendritic cells, and macrophages. Furthermore, GTF2H1 exhibited positive correlations with genetic markers of M1 macrophages ( IRF5 ), dendritic cells ( NRP1 ), and Th1 cells ( STAT1 ); SF3A3 with dendritic cells ( NRP1 ) and PDL1 ( CD274 ); FANCI with M1 macrophages ( IRF5 ); and XRCC5 with PDL1 ( CD274 ) and Th1 cells ( STAT1 ), implying that these core genes might influence or be involved in immune response pathways by promoting immune cell activity. Using the HPA protein expression database, immunohistochemistry findings reaffirmed that the four genes’ expressed protein levels were more elevated in HCC than in healthy hepatocytes. Conclusion Our prognostic signature and immune infiltration provided novel insights into prognostic indicators and potential immunotherapeutic targets for HCC. Future research endeavours are warranted to explore further the clinical importance, applicability, and therapeutic consequences of the identified biomarkers in larger cohorts.

Egyptian Journal of Medical Human GeneticsVol. 26(1)
University Kebangsaan Malaysia Medical Centre (MY), National Institutes of Biotechnology Malaysia (MY)
Universiti Kebangsaan Malaysia
Openalex Percentile: Top 86%
Ferroptosis and cancer prognosis
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