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通过综合生物信息学分析鉴定与胃腺癌发生发展相关的枢纽基因

Identification of Hub Genes Associated With the Development of Stomach Adenocarcinoma by Integrated Bioinformatics Analysis.

作者信息

Zhang Kehui, Wang Jian, Zhu YingYing, Liu Xiaolin, Li Jiacheng, Shi Zhe, Cao Mengxing, Li Yong

机构信息

Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

出版信息

Front Oncol. 2022 May 24;12:844990. doi: 10.3389/fonc.2022.844990. eCollection 2022.

Abstract

OBJECTIVE

This study was conducted in order to gain a better understanding of the molecular mechanisms of stomach adenocarcinoma (STAD), which is necessary to predict the prognosis of STAD and develop novel gene therapy strategies.

METHODS

In this study, the gene expression profile of GSE118916 in the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas Program (TCGA) was used to explore the differential co-expression genes of STAD and normal tissues.

RESULTS

A total of 407 STAD samples were collected, consisting of 375 from stomach adenocarcinoma tissues and 32 from normal tissues, as well as RNA-seq count data for 19,600 genes. Forty-two differentially expressed genes were screened by weighted gene co-expression network analysis (WGCNA) and differentially expressed gene analysis. According to the functional annotation analysis of the clusterProfiler R package, these genes were analyzed for GO function enrichment, digestion (biological process), tube bottom material membrane (cell component), and oxidoreductase activity (molecular function). The KEGG pathway was enriched in gastric acid secretion and chemical carcinogenesis. In addition, Cytoscape's cytoHubba plug-in was used to identify seven hub genes (, , , , , , and ) in a protein-protein interaction (PPI) network consisting of 7 nodes and 11 edges. Compared with normal tissues, and genes were upregulated in stomach adenocarcinoma ( < 0.05). was expressed differently in stages II and IV, was expressed differently in stages II and III, and was expressed differently in stages I-III. Among the seven hub genes, Kaplan-Meier analysis and TCGG showed that the expression levels of and were significantly correlated with OS in patients with stomach adenocarcinoma ( < 0.05). GEPIA2 analysis showed that expression was closely correlated with OS and DFS in gastric adenocarcinoma ( < 0.05). Then, the expression of the genes and their correlations were revealed by the R2 Platform (http://r2.amc.nl). Finally, we collected 18 pairs of gastric mucosal tissues from normal people and cancer tissues from patients with stomach adenocarcinoma. The expression levels of the above seven hub genes and their relative protein expression were detected by RT-PCR and immunohistochemistry (IHC). The results showed that the gene and protein expression levels in stomach adenocarcinoma tissues were increased than those in the normal group.

CONCLUSION

In summary, we believe that the identified hub genes were related to the occurrence of stomach adenocarcinoma, especially the expression of , , and genes, which are related to the prognosis and overall survival of patients and may become the potential for the future diagnosis and treatment of STAD.

摘要

目的

开展本研究以更好地了解胃腺癌(STAD)的分子机制,这对于预测STAD的预后和制定新的基因治疗策略是必要的。

方法

在本研究中,使用基因表达综合数据库(GEO)中的GSE118916基因表达谱以及癌症基因组图谱计划(TCGA)来探索STAD与正常组织的差异共表达基因。

结果

共收集了407份STAD样本,其中375份来自胃腺癌组织,32份来自正常组织,以及19600个基因的RNA测序计数数据。通过加权基因共表达网络分析(WGCNA)和差异表达基因分析筛选出42个差异表达基因。根据clusterProfiler R包的功能注释分析,对这些基因进行了基因本体(GO)功能富集分析,包括消化(生物学过程)、管底物质膜(细胞成分)和氧化还原酶活性(分子功能)。京都基因与基因组百科全书(KEGG)通路富集于胃酸分泌和化学致癌作用。此外,使用Cytoscape的cytoHubba插件在一个由7个节点和11条边组成的蛋白质-蛋白质相互作用(PPI)网络中鉴定出7个枢纽基因(、、、、、、和)。与正常组织相比,和基因在胃腺癌中上调(<0.05)。在II期和IV期表达不同,在II期和III期表达不同,在I - III期表达不同。在这7个枢纽基因中,Kaplan - Meier分析和TCGG显示,和基因的表达水平与胃腺癌患者的总生存期(OS)显著相关(<0.05)。GEPIA2分析显示,在胃腺癌中表达与OS和无病生存期(DFS)密切相关(<0.05)。然后,通过R2平台(http://r2.amc.nl)揭示了这些基因的表达及其相关性。最后,我们收集了18对正常人胃黏膜组织和胃腺癌患者的癌组织。通过逆转录聚合酶链反应(RT - PCR)和免疫组织化学(IHC)检测上述7个枢纽基因的表达水平及其相对蛋白表达。结果显示,胃腺癌组织中的基因和蛋白表达水平高于正常组。

结论

综上所述,我们认为所鉴定的枢纽基因与胃腺癌的发生有关,尤其是、和基因的表达,它们与患者的预后和总生存期相关,可能成为未来STAD诊断和治疗的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd9d/9170954/ba15b551108f/fonc-12-844990-g001.jpg

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