| Literature DB >> 29394925 |
Rafael Sebastián Fort1,2, Cecilia Mathó1,2, Murilo Vieira Geraldo3,4, María Carolina Ottati1,2,5, Alex Shimura Yamashita3, Kelly Cristina Saito3, Katia Ramos Moreira Leite6, Manuel Méndez7, Noemí Maedo7, Laura Méndez7, Beatriz Garat1, Edna Teruko Kimura3, José Roberto Sotelo-Silveira8,9, María Ana Duhagon10,11.
Abstract
BACKGROUND: Nc886 is a 102 bp non-coding RNA transcript initially classified as a microRNA precursor (Pre-miR-886), later as a divergent homologue of the vault RNAs (vtRNA 2-1) and more recently as a novel type of RNA (nc886). Although nc886/vtRNA2-1/Pre-miR-886 identity is still controversial, it was shown to be epigenetically controlled, presenting both tumor suppressor and oncogenic function in different cancers. Here, we study for the first time the role of nc886 in prostate cancer.Entities:
Keywords: Cancer; DNA methylation; Metastasis; Prostate; TCGA; Tumor suppressor; Vault RNA; miR-886; nc886; vtrna2-1
Mesh:
Substances:
Year: 2018 PMID: 29394925 PMCID: PMC5797390 DOI: 10.1186/s12885-018-4049-7
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Fig. 1Nc886 TSS200 methylation status and its correlation with clinical parameters of PrCa in patients of the TCGA-PRAD cohort. a Average TSS200 methylation of nc886 in matched normal and tumor prostate tissue of 50 patients from TCGA cohort and 52 patients from STANFORD cohort data available in GSE76938 GEO dataset. b Average TSS200 methylation of nc886 for normal and metastatic prostate tissue data available in GSE38240 GEO dataset. In A and B the numbers below the boxes indicate the mean value of each distribution. c Average TSS200 methylation of nc886 in association with Gleason Score of tumor tissue of 329 patients. d Association between average TSS200 methylation of nc886 and clinical T values of tumor tissue of 272 patients. e Association between average TSS200 methylation of nc886 and biochemical recurrence in 276 patients. Clinical data analyses incorporate TCGA-PRAD DNA methylation data of the tissues with available associated Gleason score data (c), Clinical T-value data (d) and Biochemical recurrence data (e). Two-tailed T test was performed for all categories, and only significant differences are depicted: * P value < 0.05; ** P-value < 0.01; *** P -value < 0.001; **** P-value < 0.0001
Fig. 2Nc886 expression and its correlation with promoter methylation in prostate cells. Expression levels of nc886 were determined using RT and qPCR with specific primers (see Materials and Methods) and RNAU6 was used as and endogenous control of RNA amount (A, B and C). a Expression of nc886 in 6 matched normal and tumor human prostate tissue relative to RNAU6. b Expression of nc886 relative to PrEC are presented (upper plot) and average methylation of nc886 promoter (lower plot) in prostate cancer cell lines. Methylation data was extracted from publicly available GEO datasets GSE34340, GSE62053 and GSE54758. c Expression of nc886 in prostate cancer cell lines treated with 5-Azacytidine relative to untreated cell lines (control DMSO). d Correlation between the fold change in average nc886 TSS200 methylation and DNMT3B expression in tumor vs. normal tissue, assessed in 50 matched samples of the TCGA-PRAD dataset. e Average methylation of nc886 promoter 10 CpG sites of wt HCT116 and DNMT3B KO HCT116 cell line (GEO dataset GSE51810). P-value < 0.05 t-test two-tailed. * P-value < 0.05; ** P-value < 0.01; *** P-value < 0.001; two tailed t-test. The correlation was conducted by D’Agostino-Pearson normality and nonparametric Spearman tests
Fig. 3In vitro effect of the overexpression of nc886 in tumor cell proliferation and invasion. a Expression of nc886 in DU145 and LNCaP nc886 overexpressing relative to control cell line. Expression levels of nc886 were determined using RT and qPCR with specific primers (see Methods) and RNAU6 was used as and endogenous control of RNA amount. b Cell viability assay by MTT for DU145 and LNCaP cell lines overexpressing nc886 and control hairpin RNA. The absorbance at 72hs (570-690 nm) is shown as percentage. c Flow cytometric cell cycle assay based on DNA content measured with propidium iodide. The cumulative percentage of cells at the different cell cycle phases are shown for DU145 cell line overexpressing nc886 and control hairpin RNA. d Matrigel invasion assay of DU145 (3 replicates) and LNCaP (4 replicates) overexpressing nc886 and control hairpin RNA. Percentage invasion for nc886 overexpressing cell lines was calculated relative to control cell lines. * P value < 0.05; ** P-value < 0.01; *** P-value < 0.0001 two tailed t-test
Fig. 4In vivo effect of nc886 overexpression in tumor phenotype. a Tumor xenograft assay in NUDE BALB-C mice of DU145 cell lines overexpressing nc886 and control hairpin RNA. Tumor growth curves of 6 mice expressed as the average tumor volume (cm3). b Macroscopic images of selected tumors grown in NUDE BALB-C mice inoculated in with DU145 cell lines overexpressing nc886 and corresponding control cell line. The average mass(g) (c), average number of mitosis (d) and average percentage of tumor necrosis (e) of the 6 tumors assayed at the end time of the assay are shown. * P value < 0.05; ** P-value < 0.001; two-tailed t-test
Fig. 5Association between TSS200 nc886 methylation status and the prostate cancer cell cycle progression (CCP) gene expression signature in the TCGA- PRAD cohort. a Box plot of the distribution of nc886 average promoter methylation in the total TCGA-PRAD dataset and the edge 10-percentile samples selected for the clusterization. b Heat map of the expression of the genes belonging to the prostate cancer cell cycle progression (CCP) gene expression signature [32] in 10th percentile low and 90th high nc886 promoter methylated samples of TCGA-PRAD. The heatmap was generated using the Euclidean algorithm clusterization with the Morpheus software