Yang Ping, Liu Junjie, Yang Tianci, Zhang Lei, Gong Peiyou, Li Boqing, Zhou Xiuzhi
Department of Pathology, Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, Shandong Province, China.
School of Basic Medical Sciences, Binzhou Medical University, Yantai 264003, Shandong Province, China.
Biochem Res Int. 2020 Jul 25;2020:6285987. doi: 10.1155/2020/6285987. eCollection 2020.
() is a common human pathogen, which is closely correlated with gastric cancer (GC). However, the mechanism of -related GC has not been elucidated. This study aimed to explore the role of infection in GC and find biomarkers for early diagnosis of -related GC.
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 i infection.
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 ( < 0.05). Patients with infection had a higher expression of hsa-miR-196b-3p and CALML4 than those without infection ( < 0.05).
The study of miRNA-mRNA expression network would provide molecular support for early diagnosis and treatment of -related GC.
()是一种常见的人类病原体,与胃癌(GC)密切相关。然而,与()相关的胃癌发病机制尚未阐明。本研究旨在探讨()感染在胃癌中的作用,并寻找与()相关胃癌早期诊断的生物标志物。
我们从基因表达综合数据库(GEO)数据集中鉴定差异表达的微小RNA(DEM)和基因(DEG),构建微小RNA-(miRNA-)mRNA表达网络,分析交叉基因的功能和信号通路,利用癌症基因组图谱(TCGA)数据分析交叉基因与胃癌预后的关系,并验证()感染患者中交叉基因的表达。
在GSE197694和GSE27411数据集中鉴定出22个DEM和68个DEG。16个miRNA和509个基因参与表达网络,而该网络的交叉基因主要富集于丝裂原活化蛋白激酶(MAPK)信号通路和转化生长因子-β(TGF-β)信号通路。与hsa-miR-196b-3p、CALML4或SMAD6低表达或PITX2或TGFB2高表达的患者相比,hsa-miR-196b-3p、CALML4或SMAD6高表达或PITX2或TGFB2低表达的患者预后更好(<0.05)。()感染患者的hsa-miR-196b-3p和CALML4表达高于未感染()的患者(<0.05)。
miRNA-mRNA表达网络的研究将为()相关胃癌的早期诊断和治疗提供分子支持。