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-naïve 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.
