GAFAD: A liquid chromatography-tandem mass spectrometry-based model for early hepatocellular carcinoma detection beyond GALAD’s limitations

BACKGROUND/AIMS: The GALAD (Gender, Age, Lens culinaris agglutinin-reactive alpha-fetoprotein [AFP-L3], alpha-fetoprotein [AFP], and des-γ-carboxy prothrombin) score, widely used for hepatocellular carcinoma (HCC) detection, was primarily derived from cohorts with advanced-stage tumors and elevated biomarker levels, potentially overestimating accuracy in early-stage disease. Furthermore, the lectin-based AFP-L3 assay has poor sensitivity at low AFP concentrations, limiting detection of small or AFP-negative tumors. METHODS: We developed GAFAD, a multivariable model replacing AFP-L3 with fucosylated AFP percentage, quantified by a validated liquid chromatography-tandem mass spectrometry assay. The model was trained and tested using a hepatitis B virus (HBV)-related cohort (HCC n=235; non-HCC n=290), a diagnostically challenging set with substantial overlap in biomarker levels between HCC and non-HCC. Moreover, a final model (GAFAD) was validated in two independent cohorts (HCC n=210; non-HCC n=245), comprising HBV-, HCV-related and non-viral etiologies. RESULTS: In the development cohort, GAFAD showed superior diagnostic performance to GALAD for distinguishing HCC from non-HCC, with a higher area under the receiver operating characteristic curve (AUC, 0.938 vs. 0.887; P