Hub genes in adenocarcinoma of the esophagogastric junction based on weighted gene co-expression network analysis and immunohistochemistry

基于加权基因共表达网络分析和免疫组织化学的食管胃交界处腺癌枢纽基因

阅读:2

Abstract

BACKGROUND: Gastric cancer (GC) is the fifth most common malignant tumor, and it is usually fatal. Adenocarcinoma of the esophagogastric junction (AEG) accounts for about 50% of all GC cases. However, the systematic co-expression analysis of this tumor does not fully explain its pathogenesis. This study aimed to identify hub genes based on weighted gene co-expression networks and immunohistochemistry analyses. METHODS: The RNA-seq data of 22 AEG patients were processed using weighted gene co-expression network analysis. We differentiated the modules with clinical tumor markers and performed Gene Ontology and pathway enrichment analysis. We identified the hub genes related to the biological processes of tumorigenesis based on weighted gene co-expression network analysis and immunohistochemistry analysis. RESULTS: Twenty-five distinct co-expression gene modules were identified; the tumorigenic genes CD93, TRIM28, SLC3A2, CBX4, PATL1, and ZNF473 had high intramodular connectivity. Immunohistochemistry confirmed that these hub genes are upregulated in AEG. Statistical analysis indicated that the expression of CD93 was correlated with the T stage and maximum tumor diameter. CONCLUSION: Weighted gene co-expression network analysis and immunohistochemistry identified CD93 as a hub gene that might be critical for AEG biology.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。