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Background: Early recurrence is the main obstacle for long-term survival of hepatocellular carcinoma (HCC) patients after curative resection., Objective: We aimed to develop a long non-coding RNA (lncRNA) based signature to predict early recurrence., Methods: Using bioinformatics analysis and quantitative reverse transcription PCR (RT-qPCR), we screened for lncRNA candidates that were abnormally expressed in HCC. The expression levels of candidate lncRNAs were analyzed in HCC tissues from 160 patients who underwent curative resection, and a risk model for the prediction of recurrence within 1 year (early recurrence) of HCC patients was constructed with linear support vector machine (SVM)., Results: An lncRNA-based classifier (Clnc), which contained nine differentially expressed lncRNAs including AF339810, AK026286, BC020899, HEIH, HULC, MALAT1, PVT1, uc003fpg, and ZFAS1 was constructed. In the test set, this classifier reliably predicted early recurrence (AUC, 0.675; sensitivity, 72.0%; specificity, 63.1%) with an odds ratio of 4.390 (95% CI, 2.120-9.090). Clnc showed higher accuracy than traditional clinical features, including tumor size, portal vein tumor thrombus (PVTT) in predicting early recurrence (AUC, 0.675 vs 0.523 vs 0.541), and had much higher sensitivity than Barcelona Clinical Liver Cancer (BCLC; 72.0% vs 50.0%), albeit their AUCs were comparable (0.675 vs 0.678). Moreover, combining Clnc with BCLC significantly increased the AUC, compared with Clnc or BCLC alone in predicting early recurrence (all P< 0.05). Finally, logistic and Cox regression analyses suggested that Clnc was an independent prognostic factor and associated with the early recurrence and recurrence-free survival of HCC patients after resection, respectively (all P= 0.001)., Conclusions: Our lncRNA-based classifier Clnc can predict early recurrence of patients undergoing surgical resection of HCC.

Increasing evidences indicate that dys-regulation of MicroRNAs contributes to hepatocellular carcinoma. However, the roles of miR-485-5p in HCC are still largely unexplored. In the present study, our quantitative real-time PCR analysis found that miR-485-5p was significantly down-regulated in 50 pairs of human HCC tissues. Moreover, the reduced expression of miR-485-5p was significantly correlated with larger tumor size and more tumor number in patients with HCC. In vitro studies further showed that overexpression of miR-485-5p mimics could inhibit, while its antisense oligos promote cell proliferation and invasion. Results from the dual-luciferase reporter gene assays and western blot further showed that stanniocalcin 2 was a direct target of miR-485-5p. Therefore, our data suggest a novel role for miR-485-5p in the regulation of HCC progression.