DOI: 10.3390/life16071079 ISSN: 2075-1729

Exploring the Predictive Value of Circulating Cell-Free DNA Within a Multiparameter Panel for Hepatocellular Carcinoma Detection

Ioana Manea, Speranta Maria Iacob, Razvan Iacob, Alina-Veronica Ghionescu, Andrei Sorop, Roxana Elena Saizu, Daria-Ana-Arina Gheorghe, Delia Prisecariu, Simona Olimpia Dima, Liliana Simona Gheorghe

Background: Hepatocellular carcinoma (HCC) is one of the most common and deadliest cancers worldwide. Alpha-fetoprotein (AFP), a widely used and accessible tumoral marker, has limited performance in the early detection of HCC among high-risk populations. This study aims to evaluate the potential added value of ccfDNA (circulating cell-free DNA) fragment size, alone or in a multiparameter panel, using accessible, feasible ccfDNA analysis. Methods: A prospective cohort of 125 patients with chronic liver disease was analyzed. Patients with incomplete clinical or laboratory data and patients without cirrhosis were excluded from the final analysis. Nonparametric tests, logistic regression and ROC curve analysis were performed. ccfDNA fragment size was measured using on-chip electrophoresis. Results: ccfDNA fragment size was significantly lower in the cirrhosis-HCC subgroup compared to the cirrhosis-only subgroup (p < 0.001). While AFP remains an independent predictor of HCC among cirrhosis patients, ccfDNA fragment size did not prove to be an independent predictor in this cohort. AUROC (area under the receiver operating characteristic curve) analysis revealed that a combined model of AFP, age, liver reserve, and ccfDNA fragment size did not perform better than the corresponding panel without ccfDNA. Moreover, after DeLong comparison, the difference between the two AUROCs proved statistically insignificant. Age and platelet count remain the strongest independent predictors in our exploratory cohort. Conclusions: Although ccfDNA fragment size proved to be lower in the HCC subgroup, its statistical significance fades when included into a multimarker panel. However, all panels should undergo further validation in a larger cohort, in order to better assess the individual contribution of each parameter and to discriminate between added diagnostic value and confounding effect of age and liver reserve parameters.

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