Integrated and Ultrafast Multiomics Sample Preparation Workflow for Screening Biomarker Panel of Platelet Biomolecules for Early Diagnosis of HCC

= 0.68) groups. Differential analysis revealed 10 biomolecules significantly dysregulated in HCC platelets (TEK, citric acid, glycerol-3-phosphate (G3P), P2RX4, malic acid, ATP, PRG3, ITGAM, CXCR2, ITGB2) that participate in key pathways driving proliferation and metastasis. Accompanied by machine learning, the 10 biomolecules were ultimately identified as a potential biomarker panel for early diagnosis of HCC. It shows superior diagnostic efficacy (accuracy = 0.81, sensitivity = 0.74) over α-fetoprotein (AFP) (accuracy = 0.75, sensitivity = 0.45) for early HCC detection.