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Journals / Middle Black Sea Journal of Health Science / 2019 / Cilt: 5 - Sayı: 2

In Silico Analysis of Biomarker Potentials of miRNA-Mediated ceRNAs in Gastric Neoplasms

Diler Us altay
Sercan Ergün
Pages
106–119
Publication Date
2019-08-28
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Still, larger and more comprehensive studies are needed on this issue.

📌 3 Key Takeaways

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Objective & Hypothesis:Objectives: The objective of this study is to define novel biomarkers for gastric neoplasm (GN) via in silico analysis that takes GN-specific miRNAs, finds their combinatorial target genes (potential ceRNAs), selects ones containing T-UCR among them and potentiates their relevance with GN.
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Key Findings & Data:Using the ComiR database, 1008 genes targeted by these 4 miRNAs simultaneously were identified.
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Conclusion & Impact:Still, larger and more comprehensive studies are needed on this issue.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Gastric neoplasms · miRNA · ceRNA

Abstract

Objectives: The objective of this study is to define novel biomarkers for gastric neoplasm (GN) via in silico analysis that takes GN-specific miRNAs, finds their combinatorial target genes (potential ceRNAs), selects ones containing T-UCR among them and potentiates their relevance with GN. Based on this study we can plan new in vitro and in vivo studies. Methods: Four miRNAs of which clinical relevances with GN were proved experimentally were exported via mirTarbase. Using the ComiR database, 1008 genes targeted by these 4 miRNAs simultaneously were identified. Genes containing T-UCR and showing potential ceRNA activity were extracted. Among GN-associated ceRNAs including T-UCR, we identified genes with significant expression differences between GN and normal stomach tissue using the GEPIA database. The statistical evaluation of the association of NFAT5 and CLK3 genes with GN was performed by Spearman correlation test in GEPIA database. Results: GN-associated ceRNAs cross-matching with genes including T-UCR in their exonic regions were NFAT5 and CLK3. We identified genes with significant expression differences between GN and normal stomach tissues among GN-associated ceRNAs including T-UCR. According to this analysis, only NFAT5 gene was significantly higher expressed in GN than in normal stomach tissue while the other didn’t show any significant differential expression pattern. NFAT5 and CLK3 genes were found to be significantly correlated with GN (p<0.001; R=0.22) Conclusion: All in all, this is the study associating NFAT5 gene with GN for the first time and giving it ongogenic potential for GN. Still, larger and more comprehensive studies are needed on this issue.

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Cite This Article

altay, D. U., Ergün, S. (2019). In Silico Analysis of Biomarker Potentials of miRNA-Mediated ceRNAs in Gastric Neoplasms. Middle Black Sea Journal of Health Science, Cilt: 5 - Sayı: 2, 106–119. https://ajindex.com/articles/791188

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