| Experiment ID | EXP00117 |
| Reference | Title: MicroRNA profile predicts recurrence after resection in patients withhepatocellular carcinoma within the Milan Criteria. Author: Sato F, Hatano E, Kitamura K, Myomoto A, Fujiwara T, Takizawa S, Tsuchiya S,Tsujimoto G, Uemoto S, Shimizu K. Journal: PLoS One. 2011 Jan 27;6(1):e16435. doi: 10.1371/journal.pone.0016435. Abstract: OBJECTIVE: Hepatocellular carcinoma (HCC) is difficult to manage due to the high frequency of post-surgical recurrence. Early detection of the HCC recurrenceafter liver resection is important in making further therapeutic options, such assalvage liver transplantation. In this study, we utilized microRNA expressionprofiling to assess the risk of HCC recurrence after liver resection.METHODS: We examined microRNA expression profiling in paired tumor and non-tumor liver tissues from 73 HCC patients who satisfied the Milan Criteria. Weconstructed prediction models of recurrence-free survival using the Coxproportional hazard model and principal component analysis. The predictionefficiency was assessed by the leave-one-out cross-validation method, and thetime-averaged area under the ROC curve (ta-AUROC).RESULTS: The univariate Cox analysis identified 13 and 56 recurrence-relatedmicroRNAs in the tumor and non-tumor tissues, such as miR-96. The number ofrecurrence-related microRNAs was significantly larger in the non-tumor-derivedmicroRNAs (N-miRs) than in the tumor-derived microRNAs (T-miRs, P<0.0001). Thebest ta-AUROC using the whole dataset, T-miRs, N-miRs, and clinicopathologicaldataset were 0.8281, 0.7530, 0.7152, and 0.6835, respectively. Therecurrence-free survival curve of the low-risk group stratified by the best modelwas significantly better than that of the high-risk group (Log-rank:P = 0.00029). The T-miRs tend to predict early recurrence better than laterecurrence, whereas N-miRs tend to predict late recurrence better (P<0.0001).This finding supports the concept of early recurrence by the dissemination ofprimary tumor cells and multicentric late recurrence by the 'field effect'.CONCLUSION: MicroRNA profiling can predict HCC recurrence in Milan criteriacases. PMID: 21298008 |
| Expressiion Profile | Description: MicroRNA Profile Predicts Recurrence of Hepatocellular Carcinoma in Milan Criteria Cases with Mild Liver Cirrhosis Organism: Homo sapiens GEO ID: GSE21362 Platform: GPL10312 Number of samples: 146 |
| Design and Sample | Cancer Type: hepatocellular carcinoma Cancer SubType: N/D Cell Line: N/D Experimental Design: cancer vs normal Case Sample: hepatocellular carcinoma Control Sample: normal liver Num of Case: 73 Num of Control: 73 Quantification Software: Limma Num of miRNAs: 856 |
| Identification | Num of Up: 69 Num of Down: 68 |