Identification of prostate cancer LncRNAs by RNA-Seq.

PURPOSE: To identify prostate cancer lncRNAs using a pipeline proposed in this study, which is applicable for the identification of lncRNAs that are differentially expressed in prostate cancer tissues but have a negligible potential to encode proteins. MATERIALS AND METHODS: We used two publicly available RNA-Seq datasets from normal prostate tissue and prostate cancer. Putative lncRNAs were predicted using the biological technology, then specific lncRNAs of prostate cancer were found by differential expression analysis and co-expression network was constructed by the weighted gene co-expression network analysis. RESULTS: A total of 1,080 lncRNA transcripts were obtained in the RNA-Seq datasets. Three genes (PCA3, C20orf166-AS1 and RP11-267A15.1) showed a significant differential expression in the prostate cancer tissues, and were thus identified as prostate cancer specific lncRNAs. Brown and black modules had significant negative and positive correlations with prostate cancer, respectively. CONCLUSIONS: The pipeline proposed in this study is useful for the prediction of prostate cancer specific lncRNAs. Three genes (PCA3, C20orf166-AS1, and RP11-267A15.1) were identified to have a significant differential expression in prostate cancer tissues. However, there have been no published studies to demonstrate the specificity of RP11-267A15.1 in prostate cancer tissues. Thus, the results of this study can provide a new theoretic insight into the identification of prostate cancer specific genes.

Association between the pre-mir-218 polymorphism and cancer risk in the Chinese population: a meta-analysis.

BACKGROUND: Several recent studies have explored associations between pre-mir-218 polymorphism (rs11134527) and cancer risk. However, published data are still inconclusive. To obtain a more precise estimation of the relationship in the Chinese population, we carried out a meta-analysis for the first time. MATERIALS AND METHODS: Through retrieval from the PubMed, Medline, Embase, Web of Science databases, China National Knowledge Infrastructure and the Chinese BioMedical Literature Database, a total of four studies were analyzed with 3,561 cases and 3,628 controls for SNP pre-mir-218 rs11134527. We calculated odds ratios (ORs) and 95% confidence intervals (95%CIs) to explore the strength of associations. RESULTS: The results showed that the rs11134527 polymorphism was associated with decreased cancer risk in GG versus AA and GG versus AA+AG models tested ( GG vs AA: OR=0.82, 95%CI: 0.71-0.94; GG vs AA+AG: OR=0.84, 95%CI: 0.74-0.96), and significantly decreased cervical cancer risk was observed in GG versus AA and GG versus AA+AG models (GG vs AA: OR=0.79, 95%CI: 0.66-0.94; GG vs AA+AG: OR=0.80, 95%CI: 0.68-0.94). However, no significant association between the rs11134527 polymorphism and hepatocellular carcinoma risk was observed in all comparison models tested (AG vs AA: OR=0.94, 95%CI: 0.79-1.11; GG vs AA: OR=0.88, 95%CI: 0.70-1.10; GG+AG vs AA: OR=0.92, 95%CI: 0.79-1.08; GG vs AA+AG: OR=0.91, 95%CI: 0.75-1.11). CONCLUSION: The findings suggest that pre-miR-218 rs11134527 polymorphism may have some relation to cancer development in Chinese. However, well-designed studies with larger sample size and more detailed data are needed to confirm these conclusions.