In general, microRNAs, a class of small (~21 nucleotide) non-coding RNAs, negatively regulate the expression of their target genes. Dysregulation of miRNAs is a common feature in human cancers, but this phenomenon has not been studied extensively in hepatocellular carcinoma (HCC). miR‑148a, a member of the miR-148/152 family, has been found to be downregulated in several tumor types and has been suggested to be a tumor suppressor gene; however, its function in HCC remains unclear. Herein, we describe the epigenetic regulation of miR-148a and its impact on HCC cells. We found that, due to the hypermethylation of its CpG island, miR-148a undergoes methylation-mediated silencing in HCC cell lines. Additionally, DNMT1, the DNA methyltransferase that maintains methylation patterns, is aberrantly upregulated in HCC cell lines, and its overexpression is responsible for hypermethylation of the miR-148a promoter. Intriguingly, the expression of DNMT1, which is a target of miR-148a, is inversely correlated with the expression of miR-148a in HCC cells. These results lead us to propose the existence of a negative feedback regulatory loop between miR-148a and DNMT1 in HCC. Importantly, we demonstrate that the overexpression of miR-148a significantly inhibits HCC cell proliferation and cell cycle progression. Our results suggest the existence of a novel miR-148a-DNMT1 regulatory circuit and indicate that miR-148a acts as a tumor suppressor during hepatocellular carcinogenesis. These results may provide a promising alterative strategy for the therapeutic treatment of HCC.
Hepatocellular carcinoma (HCC) is a common cancer with very poor survival due to lack of reliable biomarker for early diagnosis. In this study, we investigated microRNA (miRNA) profile of whole blood with a custom microarray containing probes for 1849 miRNA species in a total 213 successive subjects who were divided into a discovery set and a validation set. An 88-miRNA signature was established to diagnose health controls (HC), chronic hepatitis B (CHB), liver cirrhosis (LC) and HCC with 100% accuracy in the discovery set using Fisher discriminant analysis. This diagnostic signature was confirmed in the validation set with accuracy rates of 100%, 95.2%, 93.7% and 98.4% for HC, CHB, LC and HCC patients, respectively. Compared with AFP, the only available non-invasive and routinely used biomarker for diagnosis of HCC, the 88-miRNA signature has much higher accuracy (99.5% vs 76.5%), sensitivity (100% vs 63.8%), and specificity (99.2% vs 84.2%). More importantly, the signature detects small HCCs (<3cm) with 100% (17/17) accuracy while AFP has only 64.7% (11/17). In conclusion, we have identified a powerful and sensitive blood 88-miRNA signature for diagnosing early HCC and other chronic liver diseases (CHB and LC) with a high accuracy.
ObjectiveThis study sought to establish an effective and reliable prognostic nomogram to guide the decision for post-surgical adjuvant transarterial chemoembolization (PA-TACE) in patients with hepatitis B virus-related (HBV) hepatocellular carcinoma (HCC).ResultsThe 1, 3, 5-year overall survival rates were, respectively, 87.7%, 52.1% and 28.3% in the patients from the derivation set and 91.7%, 57.1% and 34.1% in those from the validation set. Five risk factors (HBV-DNA level, platelet count, vascular invasion, change of Child-Pugh score, and tumor diameter) in the multivariate analysis were significantly associated with prognosis. The statistical nomogram incorporated these five factors achieved good calibration and discriminatory abilities with c-index of 0.75 (95% CI 0.67 to 0.83). The findings were supported by the independent external validation set (c-index, 0.69; 95% CI 0.56 to 0.83). Patients who had a nomogram score of less than 180 was considered to have higher survival benefit from PA-TACE.MethodsThe nomogram was established based on data obtained from a retrospective study on 235 consecutive patients with HBV HCC who received PA-TACE as an initial therapy from 2006 to 2010 in our center. 84 patients who were collected at another institution between 01/2008 and 12/2010 served as an external validation set. The prognostic nomogram was developed based on the data obtained before the PA-TACE procedure. Predictive accuracy and discriminative ability of the nomogram were assessed by concordance index (C-index), calibration curves, and validation set.ConclusionThe novel nomogram may achieve an optimal prognostic prediction for PA-TACE in HBV-related HCC.
This study sought to develop an effective and reliable nomogram for predictions of recurrence for postoperative adjuvant transarterial chemoembolization (PA-TACE) in patients with hepatitis B virus-related (HBV) hepatocellular carcinoma (HCC).The nomogram was established based on data obtained from a retrospective study on 235 consecutive patients with HBV HCC who received PA-TACE as an initial therapy from 2006 to 2010 in our center. Eighty-four patients who were collected at another institution between 01/2008 and 12/2010 served as an external validation set. Recurrence-free survival (RFS) was collected. The nomogram for tumor recurrence was developed based on the data obtained before the PA-TACE procedure. Predictive accuracy and discriminative ability of the nomogram were assessed by concordance index (C-index), calibration curves, and validation set.The 1, 2, 3-year RFS rates were 55.5%, 27.0%, and 14.1%, respectively, in the patients from the derivation set and 60.7%, 33.2%, and 23.8% in those from the validation set. Four risk factors (HBV-DNA level, vascular invasion, change of Child–Pugh score, and tumor diameter) in the multivariate analysis were significantly associated with RFS. The statistical nomogram incorporated these 4 factors achieved good calibration and discriminatory abilities with the c-index of 0.74 (95% CI 0.66–0.82). The findings were supported by the independent external validation set (c-index, 0.70; 95% CI 0.58–0.83). The area under the receiver operating characteristic curve in our model was greater than those of conventional staging systems in the validation patients (corresponding c-indices, 0.56–0.64).The novel nomogram may achieve an optimal prediction for recurrence outcome in HBV-related HCC with PA-TACE.
This study sought to develop a reliable and easy-to-use scoring model to guide the decision to perform postsurgical adjuvant transarterial chemoembolization (PA-TACE) in patients with hepatitis B-related hepatocellular carcinoma (HCC).The study included 235 consecutive patients with hepatitis B-related HCC undergoing PA-TACE at our medical center. Patients were assigned to 2 sets according to the PA-TACE date: initial (2005–2007; n = 130) and internal validation (2008–2009; n = 105) sets. With the aid of a Cox regression model, we developed a risk-scoring model from the independent predictive factors of our initial set designed as a guide for PA-TACE, and the performance of the model was validated with an internal set. External validation was also performed with an independent dataset (n = 84) to assess the discriminatory power of the scoring model.In the multivariate analysis, 4 risk factors (an increase in Child-Pugh score of at least 1 point, hepatitis B virus deoxyribonucleic acid [HBV-DNA] level >104 IU/mL, tumor diameter ≥5 cm, and the presence of vascular invasion) were significantly associated with prognosis. These factors were incorporated into a novel clinicopathological scoring model (assessment for PA-TACE [APT] risk-scoring model) ranging from 0 to 8 that was correlated with prognosis. Different survival outcomes were identified in three groups (0–2 points, 3–6 points, and 7–8 points). The risk-scoring model was further confirmed with 2 independent sets.The novel APT risk-scoring model, merging 4 prognostic factors, may achieve an optimal postsurgical prediction of PA-TACE in HBV-related HCC. The risk for an individual patient with an APT score of ≥7.0 prior to the PA-TACE, who may not profit from further PA-TACE, can be determined, and this may lead to a more appropriate choice of treatment.
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