Long non-coding RNAs as potential biomarkers or therapeutic targets in gastric cancer.

Q3 Medicine
Nahid Askari, Behnaz Salek Esfahani, Sepideh Parvizpour, Sara Shafieipour, Morteza Hadizadeh
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引用次数: 1

Abstract

Aim: This study aimed to find lncRNAs and mRNAs that were expressed differently by combining microarray datasets from different studies. This was done to find important target genes in gastric cancer for anti-cancer therapy.

Background: Gastric cancer (GC) is the fourth most frequent and second-most deadly malignancy worldwide. Thus, genetic diagnosis and treatment should focus on genetic and epigenetic variables. Based on several studies, disordered expression of non-coding RNAs (ncRNAs), such as lncRNAs, regulate gastric cancer invasion and metastasis. Besides, lncRNAs cooperatively regulate gene expression and GC progression.

Methods: We obtained differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) from three GC tissue microarray datasets by meta-analysis and screened genes using the "Limma" package. Then, using the RNAInter database, we allocated DEmRNAs to each DElncRNA. ClusterProfiler and GOplot programs were used to analyze function enrichment pathways and gene ontologies for final DEmRNAs.

Results: A total of 9 differentially expressed lncRNAs (DElncRNAs) (5 up-regulated and 4 down-regulated), and 856 DEmRNAs (451 up-regulated and 405 down-regulated) between tumor and adjacent normal samples were found. Finally, 117 differentially expressed mRNAs were predicted as interactors of six DElncRNAs (H19, WT1-AS, EMX2OS, HOTAIR, ZEB1-AS1, and LINC00261).

Conclusion: In order to promote cancer therapeutics and give knowledge on the process of carcinogenesis, our study projected a network of drug-gene interactions for discovered genes and presented relevant prospective biomarkers for the prognosis of patients with stomach cancer.

Abstract Image

Abstract Image

Abstract Image

作为癌症潜在生物标志物或治疗靶点的长非编码RNA。
目的:本研究旨在通过结合不同研究的微阵列数据集,找到不同表达的lncRNA和mRNA。这是为了寻找癌症抗癌治疗的重要靶基因。背景:癌症(GC)是世界上第四常见、第二致命的恶性肿瘤。因此,遗传诊断和治疗应侧重于遗传和表观遗传学变量。根据几项研究,非编码RNA(ncRNA)的无序表达,如lncRNA,调节癌症的侵袭和转移。此外,lncRNA协同调节基因表达和GC进展。方法:我们通过荟萃分析从三个GC组织微阵列数据集中获得差异表达的mRNA(DEmRNAs)和lncRNA(DElncRNAs),并使用“Limma”软件包筛选基因。然后,使用RNAInter数据库,我们将DEmRNA分配给每个DElncRNA。使用ClusterProfiler和GOplot程序分析最终DEmRNA的功能富集途径和基因本体。结果:在肿瘤和邻近正常样本之间共发现9个差异表达的lncRNA(DElncRNA)(5个上调和4个下调),856个DEmRNA(451个上调和405个下调)。最后,117个差异表达的mRNA被预测为6个DElncRNA(H19、WT1-as、EMX2OS、HOTAIR、ZEB1-AS1和LINC00261)的相互作用因子,我们的研究为发现的基因预测了一个药物-基因相互作用网络,并提出了癌症患者预后的相关前瞻性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
29
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