Phosphopeptidome Profiling of Human Plasma for Hepatocellular Carcinoma Biomarker Discovery

Hepatocellular carcinoma (HCC) remains a leading cause of cancer mortality, and current biomarkers such as alpha-fetoprotein (AFP) lack diagnostic accuracy. Here, we report the first comprehensive profiling of the plasma endogenous phosphopeptidome in HCC, cirrhosis, and healthy controls using a digestion-free LC-MS/MS workflow. From 60 plasma samples, 1,365 phosphopeptides corresponding to 549 proteins were identified and quantified. Among these, the statherin-derived peptide DSSEEKFLR demonstrated outstanding discrimination between HCC and cirrhosis (AUC = 0.968), outperforming AFP (AUC = 0.648). Additional peptides, including PPGAPHTEEEGAE (NST1), YEYDELPAKDD (C4A), SLPGESEEMMEEVD (ITIH4), and VSLGSPSGEVSHPRKT (AHSG), also showed high accuracy (AUC > 0.80). Functional enrichment revealed perturbations in acute-phase response, coagulation, lipid metabolism, and LXR/RXR signaling. Collectively, this work defines a novel plasma phosphopeptide signature that reflects disease-specific proteolytic and phosphorylation dynamics, providing a foundation for developing biomarkers for early detection and clinical monitoring of HCC.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-12-31
DOI
https://doi.org/10.1021/acs.jproteome.5c01004
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
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article

Phosphopeptidome Profiling of Human Plasma for Hepatocellular Carcinoma Biomarker Discovery

Alexander Kroemer, Zaki A. Sherif, Habtom W. Ressom, Rency S. Varghese et al.
Journal of Proteome Research
Advanced Proteomics Techniques and Applications
article

Phosphopeptidome Profiling of Human Plasma for Hepatocellular Carcinoma Biomarker Discovery

Alexander Kroemer, Zaki A. Sherif, Habtom W. Ressom, Rency S. Varghese, Muhammad Salman Sajid, S M Saleem
article en

Abstract

Hepatocellular carcinoma (HCC) remains a leading cause of cancer mortality, and current biomarkers such as alpha-fetoprotein (AFP) lack diagnostic accuracy. Here, we report the first comprehensive profiling of the plasma endogenous phosphopeptidome in HCC, cirrhosis, and healthy controls using a digestion-free LC-MS/MS workflow. From 60 plasma samples, 1,365 phosphopeptides corresponding to 549 proteins were identified and quantified. Among these, the statherin-derived peptide DSSEEKFLR demonstrated outstanding discrimination between HCC and cirrhosis (AUC = 0.968), outperforming AFP (AUC = 0.648). Additional peptides, including PPGAPHTEEEGAE (NST1), YEYDELPAKDD (C4A), SLPGESEEMMEEVD (ITIH4), and VSLGSPSGEVSHPRKT (AHSG), also showed high accuracy (AUC > 0.80). Functional enrichment revealed perturbations in acute-phase response, coagulation, lipid metabolism, and LXR/RXR signaling. Collectively, this work defines a novel plasma phosphopeptide signature that reflects disease-specific proteolytic and phosphorylation dynamics, providing a foundation for developing biomarkers for early detection and clinical monitoring of HCC.

Journal of Proteome ResearchVol. 25(2)
Howard University (US), Georgetown University (US), Georgetown University Medical Center (US), MedStar Georgetown University Hospital (US), Vince Lombardi Cancer Clinic (US), U-M Rogel Cancer Center (US)
Openalex Percentile: Top 39%
Advanced Proteomics Techniques and Applications
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