Role of Circulating Micrornas to Predict Hepatocellular Carcinoma Recurrence in Patients Treated with Radiofrequency Ablation or Surgery.

Background: Loco-regional treatments have improved the survival of patients with early hepatocellular carcinoma (HCC), but tumor relapse is a frequent event and survival rates remain low. Moreover, conflicting evidences address early HCC patients to surgery or radiofrequency ablation (RFA), with the clinical need to find predictive non-invasive biomarkers able to guide treatment choice and define patients survival. Methods: Two independent case series of treatment-naive HCC patients treated with local RFA, and a cohort of 30 HCC patients treated with liver surgery were enrolled. On the basis of literature evidence, we customized a panel of 21 miRNAs correlated with relapse and prognosis after local curative treatment of HCC. Results: Expression levels of let-7c predict tumor relapse after RFA; we also investigated the same panel in a small cohort of HCC patients undergoing surgery, finding no statistically significance in predicting tumor relapse or survival. Moreover, interaction test indicated that let-7c expression levels are predictive for identifying a subset of patients that should be addressed to surgery. Conclusion: Results from this study could predict prognosis of early HCC patients, helping to address early HCC patients to surgery or RFA treatment.