Circulating miRNA expression profile and bioinformatics analysis in patients with occult hepatitis B virus infection.

Emerging suggest that microRNAs (miRNAs) play vital roles in the occurrence and development of hepatitis B virus (HBV) infectious disease. However, miRNAs in occult hepatitis B virus infection (OBI), a special stage of HBV infection, remain largely unknown. Herein, we conducted this study to identify differentially expressed miRNAs and then to investigate the potential roles of these miRNAs in OBI. Plasma miRNA expression profiles of three OBI patients and three healthy controls were analyzed with high through-put miRNA sequencing technology. Altered expression of miRNAs was further confirmed with reverse transcription quantitative polymerase chain reaction (qRT-PCR). Finally, bioinformatics analysis was conducted to investigate the involved pathways and target genes for these differentially expressed miRNAs. Totally, 32 differentially expressed miRNAs were identified between OBI and healthy controls by miRNA sequencing (fold change ≥ 1.5, P < .1, and counts per million reads ≥ 1), including 16 downregulated and 16 upregulated miRNAs. Differential expression of hsa-miR-486-5p, -25-3p, and -92a-3p and -1-3p was further validated by qRT-PCR analysis, which was consistent with miRNA sequencing analysis. Moreover, these four miRNAs might distinguish OBI from HCs efficiently. Bioinformatics analyses indicated that the differentially expressed miRNAs were primarily involved in various biological processes related to gene expression and transcription, cell development and metabolism, protein modification and kinase activity regulation, as well as multiple signaling pathways such as PI3K/Akt signaling pathway. This study provided a global view of miRNA expression in plasma from OBI patients. These differentially expressed miRNAs might play important roles in the development of OBI, which provided intriguing insights into the screening and molecular mechanism of OBI.

Diagnostic value of long noncoding RNAs for hepatocellular carcinoma: A PRISMA-compliant meta-analysis.

BACKGROUND: Increasing evidences have shown that long noncoding RNAs (lncRNAs) are involved in cancer diagnosis and prognosis. However, the overall diagnostic accuracy of lncRNAs for hepatocellular carcinoma (HCC) remains unclear. Herein, we perform a meta-analysis to assess diagnostic value of lncRNAs for HCC. METHODS: The online PubMed, Cochrane, Web of Science, and Embase database were searched for eligible studies published until October 5, 2016. Study quality was evaluated with the Quality Assessment for Studies of Diagnostic Accuracy (QUADAS). All statistical analyses were conducted with Stata 12.0 and Meta-Disc 1.4. RESULTS: We included 19 studies from 10 articles with 1454 patients with HCC and 1300 controls. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and AUC for lncRNAs in the diagnosis of HCC were 0.83 (95% confidence interval [CI]: 0.76-0.88), 0.80 (95% CI: 0.73-0.86), 4.2 (95% CI: 3.00-5.80), 0.21 (95% CI: 0.15-0.31), 20 (95% CI: 11-34), and 0.88 (95% CI: 0.85-0.91), respectively. Additionally, the diagnostic value of lncRNAs varied based on sex ratio of cases and characteristics of methods (specimen type and reference gen). CONCLUSION: This meta-analysis suggests lncRNAs show a moderate diagnostic accuracy for HCC. However, prospective studies are required to confirm its diagnostic value.