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Objectives To study E2F3a expression and its clinical significance in children with acute lymphoblastic leukemia ( ALL). Methods We quantified E2F3a expression at diagnosis in 148 children with ALL by real-time PCR. In the test cohort ( n = 48), receiver operating characteristic ( ROC) curve was used to find the best cut-off point to divide the patients into E2F3a low- and high-expression groups. The prognostic significance of E2F3a expression was investigated in the test cohort and confirmed in the validation cohort ( n = 100). The correlations of E2F3a expression with the clinical features and treatment outcome of these patients were analyzed. Results ROC curve analysis indicated that the best cut-off point of E2F3a expression was 0.3780. In the test cohort, leukemia-free survival ( LFS) and event-free survival ( EFS) of the low-expression group were lower than those of the high-expression group (log rank: P = 0.026 for both). This finding was verified in the validation cohort. LFS, EFS, and overall survival were also lower in the low-expression group than in the high-expression group (log rank, P = 0.015, 0.008, and 0.002 respectively). E2F3a low expression was correlated with the existence of BCR- ABL fusion. An algorithm composed of E2F3a expression and minimal residual disease ( MRD) could predict relapse or induction failure more precisely than current risk stratification. These results were still significant in the ALL patients without BCR- ABL fusion. Conclusions Low expression of E2F3a was associated with inferior prognosis in childhood ALL. An algorithm composed of E2F3a expression and MRD could predict relapse or induction failure more precisely than that of the current risk stratification. [ABSTRACT FROM AUTHOR]

The aim of this study was to identify a microRNA (miRNA) expression signature for predicting HCC (hepatocellular carcinoma) survival. A total of 322 HCC patients in The Cancer Genome Atlas (TCGA) database were randomly divided into training and testing set. miRNAs, associated with survival time in the training set, were identified by using univariate Cox regression analysis. The risk score was formulated based on the expression levels of these miRNAs. Then the miRNA signature was validated in testing set through Kaplan-Meier analysis and log-rank test. hsa-miR-301a, hsa-miR-132, hsa-miR-212, hsa-miR-489, and hsa-miR-1468 were identified to formulate risk score in training set and used to calculate the risk score of each patients in testing set. About 161 patients in testing set were segregated into high- and low-risk group according to the median risk score. The survival time of high-risk group was significantly shorter (p = 0.0248) than low-risk group in testing test. The target genes of five miRNAs were significantly enriched in valine, leucine, and isoleucine degradation pathway and PPAR signaling pathway. hsa-miR-1468 had an up-regulated tendency in HCC tissues compared to adjacent tumor tissues. The expression of hsa-miR-301a, hsa-miR-132, hsa-miR-212, hsa-miR-489, and hsa-miR-1468, which might be potential biomarkers to evaluate HCC patients' prognosis. [ABSTRACT FROM AUTHOR]