18 research outputs found

    Analysis of Deregulated microRNAs and Their Target Genes in Gastric Cancer

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    <div><p>Background</p><p>MicroRNAs (miRNAs) are widely studied non-coding RNAs that modulate gene expression. MiRNAs are deregulated in different tumors including gastric cancer (GC) and have potential diagnostic and prognostic implications. The aim of our study was to determine miRNA profile in GC tissues, followed by evaluation of deregulated miRNAs in plasma of GC patients. Using available databases and bioinformatics methods we also aimed to evaluate potential target genes of confirmed differentially expressed miRNA and validate these findings in GC tissues.</p><p>Methods</p><p>The study included 51 GC patients and 51 controls. Initially, we screened miRNA expression profile in 13 tissue samples of GC and 12 normal gastric tissues with TaqMan low density array (TLDA). In the second stage, differentially expressed miRNAs were validated in a replication cohort using qRT-PCR in tissue and plasma samples. Subsequently, we analyzed potential target genes of deregulated miRNAs using bioinformatics approach, determined their expression in GC tissues and performed correlation analysis with targeting miRNAs.</p><p>Results</p><p>Profiling with TLDA revealed 15 deregulated miRNAs in GC tissues compared to normal gastric mucosa. Replication analysis confirmed that miR-148a-3p, miR-204-5p, miR-223-3p and miR-375 were consistently deregulated in GC tissues. Analysis of GC patients’ plasma samples showed significant down-regulation of miR-148a-3p, miR-375 and up-regulation of miR-223-3p compared to healthy subjects. Further, using bioinformatic tools we identified targets of replicated miRNAs and performed disease-associated gene enrichment analysis. Ultimately, we evaluated potential target gene <i>BCL2</i> and <i>DNMT3B</i> expression by qRT-PCR in GC tissue, which correlated with targeting miRNA expression.</p><p>Conclusions</p><p>Our study revealed miRNA profile in GC tissues and showed that miR-148a-3p, miR-223-3p and miR-375 are deregulated in GC plasma samples, but these circulating miRNAs showed relatively weak diagnostic performance as sole biomarkers. Target gene analysis demonstrated that <i>BCL2</i> and <i>DNMT3B</i> expression in GC tissue correlated with their targeting miRNA expression.</p></div

    Correlation of lincRNAs and microRNAs.

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    (A) Correlogram of GIST deregulated validated microRNAs and lincRNAs FENDRR, H19 and MALAT1. The size and color intensity of the circle reflects the strength of Spearman correlation. (B) Significant high positive correlation between lincRNA H19 and miR-455-3p. Spearman’s correlation coefficient and p value are shown in the plot.</p

    Expression levels of candidate miRNA in tissue and plasma samples.

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    <p>The boxplots for miR-148a-3p (<b>a</b>); miR-204-5p (<b>b</b>); miR-223-3p (<b>c</b>); miR-375 (<b>d</b>); miR-135a-5p (<b>e</b>) and miR-155-5p (<b>f</b>) represent the results of qRT-PCR comparing GC samples with healthy controls. qRT-PCR data are represented as log2 2-(deltaCt) values. The red and blue colors shows expression levels of candidate miRNAs in tissue and plasma samples, respectively. *—FDR adjusted p < 0.05 by Mann-Whitney U test in tissue. **- FDR adjusted p < 0.05 by Mann-Whitney U test in plasma.</p

    Network of candidate miRNAs and their putative target genes.

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    <p>Network includes the individual miRNAs (red circles) and four types of their predicted mRNA target genes (hexagons), obtained from miRTarBase and miRecords databases. The pink color represents target genes which are regulated by a single miRNA. The orange and green colors indicate target genes regulated simultaneously by two or three distinct miRNAs, respectively. GC-associated target genes retrieved from DisGeNet database are represented by blue hexagons. The databases included in the regulatory interaction networks are identified by the color of the connecting arrows: miRTarBase (blue) and miRecords (red).</p

    Expression levels of <i>BCL2</i> and <i>DNMT3B</i> in GC tissue and correlation analysis with their putatively targeting miRNAs.

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    <p>(<b>a</b>) Expression levels of <i>BCL2</i> and <i>DNMT3B</i> was analyzed using qRT-PCR. The data are represented as log2 2-(deltaCt) values; Pearson correlation analysis: (<b>b</b>) between relative expression levels of <i>DNMT3B</i> and relative expression levels miR-375; (<b>c</b>) between relative expression levels of <i>DNMT3B</i> and relative expression levels miR-148a-3p; (<b>d</b>) between relative expression levels of <i>BCL2</i> and relative expression levels miR-148a-3p; (<b>e</b>) between relative expression levels of <i>BCL2</i> and relative expression levels miR-204-5p; (<b>f</b>) between relative expression levels of <i>BCL2</i> and relative expression levels miR-375 in gastric tissue samples. P value below 0.05 was considered significant.</p
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