Construction and Investigation of MicroRNA-mRNA Regulatory Network of Gastric Cancer with Helicobacter pylori Infection.

IF 3.4 Q2 BIOCHEMICAL RESEARCH METHODS

Biochemistry Research International Pub Date : 2020-07-25 eCollection Date: 2020-01-01 DOI:10.1155/2020/6285987

Ping Yang, Junjie Liu, Tianci Yang, Lei Zhang, Peiyou Gong, Boqing Li, Xiuzhi Zhou

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引用次数: 1

Abstract

Background: Helicobacter pylori (H. pylori) is a common human pathogen, which is closely correlated with gastric cancer (GC). However, the mechanism of H. pylori-related GC has not been elucidated. This study aimed to explore the role of H. pylori infection in GC and find biomarkers for early diagnosis of H. pylori-related GC.

Methods: We identified differentially expressed microRNAs (DEMs) and genes (DEGs) from the Gene Expression Omnibus (GEO) dataset, constructed microRNA-(miRNA-)mRNA expression networks, analyzed the function and signal pathway of cross-genes, analyzed the relations between cross-genes and GC prognosis with the Cancer Genome Atlas (TCGA) data, and verified the expression of cross-genes in patients with H. pylori infection.

Results: 22 DEMs and 68 DEGs were identified in GSE197694 and GSE27411 dataset. 16 miRNAs and 509 genes were involved in the expression network, while the cross-genes of the network were mainly enriched in MAP kinase (MAPK) signaling pathway and TGF-beta signaling pathway. Patients with higher expression of hsa-miR-196b-3p, CALML4, or SMAD6 or lower expression of PITX2 or TGFB2 had better outcomes than those with lower expression of hsa-miR-196b-3p, CALML4, or SMAD6 or higher expression of PITX2 or TGFB2 (P < 0.05). Patients with H. pylori infection had a higher expression of hsa-miR-196b-3p and CALML4 than those without H. pylori infection (P < 0.05).

Conclusion: The study of miRNA-mRNA expression network would provide molecular support for early diagnosis and treatment of H. pylori-related GC.

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胃癌幽门螺杆菌感染MicroRNA-mRNA调控网络的构建与研究

背景:幽门螺杆菌(Helicobacter pylori, H. pylori)是一种常见的人类致病菌，与胃癌(gastric cancer, GC)密切相关。然而，幽门螺杆菌相关GC的机制尚未阐明。本研究旨在探讨幽门螺杆菌感染在胃癌中的作用，寻找早期诊断幽门螺杆菌相关性胃癌的生物标志物。方法:从Gene Expression Omnibus (GEO)数据集中鉴定差异表达microRNA (DEMs)和基因(DEGs)，构建microRNA-(miRNA-)mRNA表达网络，分析交叉基因的功能和信号通路，利用Cancer Genome Atlas (TCGA)数据分析交叉基因与胃癌预后的关系，验证交叉基因在幽门螺杆菌感染患者中的表达。结果:在GSE197694和GSE27411数据集中共鉴定出22个dem和68个deg。16个mirna和509个基因参与了表达网络，而网络的交叉基因主要富集在MAP激酶(MAPK)信号通路和tgf - β信号通路。高表达hsa-miR-196b-3p、CALML4、SMAD6或低表达PITX2、TGFB2的患者预后优于低表达hsa-miR-196b-3p、CALML4、SMAD6或高表达PITX2、TGFB2的患者(P < 0.05)。幽门螺杆菌感染患者hsa-miR-196b-3p、CALML4表达高于未感染患者(P < 0.05)。结论:miRNA-mRNA表达网络的研究可为幽门螺杆菌相关性胃癌的早期诊断和治疗提供分子支持。

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