Assessment of peripheral gene expression signatures as predictive biomarkers for hepatocellular carcinoma following DAA treatment

Hepatocellular carcinoma (HCC) is a major cause of cancer mortality worldwide, with viral hepatitis accounting for about 80 % of incidences. In Egypt, HCV contributes to 63 % of HCC cases. Although DAAs have achieved high SVR rates, they do not eliminate the risk of HCV-related HCC. Persistent epigenetic changes induced by HCV-infection may establish an "oncogenic memory" that promotes HCC even after viral clearance. Peripheral blood mononuclear cells (PBMCs) offer a non-invasive platform for detecting systemic immune and oncogenic signatures, aiding HCC risk assessment. This study aimed to characterize the expression of an epigenetically induced gene panel, comprising JUNB, WNT10A, SPHK1, EDN1, and KLF4 in hepatic tissues and PBMCs from Egyptian HCC patients with HCV genotype 4 who achieved SVR. In silico analyses revealed strong epigenetic associations of these genes, including links to histone-modifying enzymes, protein-protein interaction networks, and enrichment in cancer-related pathways. Gene expression was analyzed using qRT-PCR in SVR individuals, chronic HCV patients, and healthy controls, with diagnostic performance evaluated using multivariate regression and ROC curve analyses. Our results showed significant upregulation of WNT10A, SPHK1, JUNB, and EDN1 and downregulation of KLF4 in PBMCs, particularly post-SVR. PBMC expression showed high diagnostic accuracy (AUROC > 0.92 for SPHK1, WNT10A, JUNB). In conclusion, combining PBMC gene expression profiling with in-silico analyses highlights JUNB, WNT10A, SPHK1, EDN1, and KLF4 as promising non-invasive biomarker panel for HCC risk in DAA-SVR patients, reflecting their integration into epigenetic and oncogenic networks and supporting their potential for risk stratification and therapeutic targeting.

Authors

Institutions

Publication Details

Journal
Journal of Genetic Engineering and Biotechnology
Published
2025-10-09
DOI
https://doi.org/10.1016/j.jgeb.2025.100583
Primary Topic
Kruppel-like factors research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of peripheral gene expression signatures as predictive biomarkers for hepatocellular carcinoma following DAA treatment

Hend Ibrahim Shousha, Sally Farouk, Ahmed Khairy, Heba Shawky et al.
Journal of Genetic Engineering and Biotechnology
Kruppel-like factors research
article

Assessment of peripheral gene expression signatures as predictive biomarkers for hepatocellular carcinoma following DAA treatment

Hend Ibrahim Shousha, Sally Farouk, Ahmed Khairy, Heba Shawky, Noha G. Bader El Din, Ashraf Omar Abdelaziz, Hassan Elsayed, Yasser K. Elesnawy, Amr Abdelaal, A. Gabr, Rehab I. Moustafa
article en

Abstract

Hepatocellular carcinoma (HCC) is a major cause of cancer mortality worldwide, with viral hepatitis accounting for about 80 % of incidences. In Egypt, HCV contributes to 63 % of HCC cases. Although DAAs have achieved high SVR rates, they do not eliminate the risk of HCV-related HCC. Persistent epigenetic changes induced by HCV-infection may establish an "oncogenic memory" that promotes HCC even after viral clearance. Peripheral blood mononuclear cells (PBMCs) offer a non-invasive platform for detecting systemic immune and oncogenic signatures, aiding HCC risk assessment. This study aimed to characterize the expression of an epigenetically induced gene panel, comprising JUNB, WNT10A, SPHK1, EDN1, and KLF4 in hepatic tissues and PBMCs from Egyptian HCC patients with HCV genotype 4 who achieved SVR. In silico analyses revealed strong epigenetic associations of these genes, including links to histone-modifying enzymes, protein-protein interaction networks, and enrichment in cancer-related pathways. Gene expression was analyzed using qRT-PCR in SVR individuals, chronic HCV patients, and healthy controls, with diagnostic performance evaluated using multivariate regression and ROC curve analyses. Our results showed significant upregulation of WNT10A, SPHK1, JUNB, and EDN1 and downregulation of KLF4 in PBMCs, particularly post-SVR. PBMC expression showed high diagnostic accuracy (AUROC > 0.92 for SPHK1, WNT10A, JUNB). In conclusion, combining PBMC gene expression profiling with in-silico analyses highlights JUNB, WNT10A, SPHK1, EDN1, and KLF4 as promising non-invasive biomarker panel for HCC risk in DAA-SVR patients, reflecting their integration into epigenetic and oncogenic networks and supporting their potential for risk stratification and therapeutic targeting.

Journal of Genetic Engineering and BiotechnologyVol. 23(4)
Ain Shams University (EG), Cairo University (EG), Modern University for Information and Technology (EG), National Research Centre (EG), Ministry of Health and Population (EG)
Openalex Percentile: Top 75%
Kruppel-like factors research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.