Plasma proteomic profiling reveals distinct protein signatures associated with hepatocellular carcinoma in chronic hepatitis B infection

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Authors: Sidnooma Véronique Zongo, Michael Bauer, Lassina Traoré, Tégwindé Rébeca Compaore, Albert Théophane Yonli, Augustin Tozoula Bambara, Palwendé Romuald Boua, Roger Sombié, Oumar Barro, Sosthène Somda, Mahamoudou Sanou, Jeremy James Martinson
+8 more Jean Christopher Chamcheu, Lewis Rowland Roberts, Mitesh J. Borad, Bolni Marius Nagalo, Alan J. Tackett, Adama Sanou, Florencia Wendkuuni Djigma, Jacques Simporè
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References: 42

Abstract

BACKGROUND: Chronic hepatitis B virus (HBV) infection is a leading cause of hepatocellular carcinoma (HCC), yet reliable biomarkers for early detection and risk stratification remain limited. This study aimed to identify plasma proteins associated with disease progression from chronic HBV infection to HCC. METHODS: Plasma proteomic profiling was conducted using high-resolution LC–MS/MS on samples from healthy controls, chronic HBV carriers, patients with cirrhosis, and individuals with HBV-associated HCC. Differentially expressed proteins were identified through bioinformatics analysis, and protein–protein interaction networks were reconstructed to assess functional relevance. RESULTS: Eight proteins displayed distinct, stage-specific expression patterns along the disease continuum. ICAM1, TIMP1, and IGFBP7 were progressively upregulated, reflecting roles in inflammation, fibrosis, and tumorigenesis. In contrast, PF4V1 and GPLD1 were downregulated, suggesting loss of protective functions during disease progression. PFN1, TUBA1B, and MDH1 exhibited dynamic modulation linked to cytoskeletal remodeling, cell division, and metabolic reprogramming. Network analysis revealed their involvement in pathways critical for immune regulation, extracellular matrix remodeling, and angiogenesis. Random forest modeling further confirmed their strong discriminatory potential for disease staging. CONCLUSION: This study identifies a panel of plasma proteins closely associated with HBV-related HCC progression. These biomarkers may facilitate early detection, improve risk stratification in HBV-infected individuals, and provide new insights into the molecular mechanisms driving liver cancer development.

Fields of Study & Subjects

Hepatitis B Virus Studies Hepatocellular Carcinoma Treatment and Prognosis Advanced Proteomics Techniques and Applications

Publication details

Journal / source
Clinical Proteomics
Volume
23
Issue
1
Pages
7–7
Publication date
17 January 2026
Language
EN