通过生物信息学分析克罗恩病与结肠癌网络的共表达——趋化因子配体1（CXCL1）肿瘤微环境及预后相关基因CXCL1。

The co-expression of Crohn's disease and colon cancer network was analyzed by bioinformatics-CXCL1 tumour microenvironment and prognosis-related gene CXCL1.

作者信息

Mao Zijuan, Gu Yuyang, Tao Ganxue, Dai Qiang, Xu Yangjie, Fei Zhenghua

机构信息

Department of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.

Department of Oncology, The First Affiliated Hospital of Jiaxing University, No. 1882, Zhonghuan South Road, Jiaxing, 314000, Zhejiang, People's Republic of China.

出版信息

Discov Oncol. 2024 Oct 15;15(1):557. doi: 10.1007/s12672-024-01423-0.

DOI:10.1007/s12672-024-01423-0

PMID:39402186

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11479648/

Abstract

PURPOSE

This study aimed to investigate the molecular links and mechanisms between Crohn's disease (CD) and colorectal cancer (CRC).

METHODS

This study used the Gene Expression Omnibus (GEO) database to identify Differentially expressed genes (DEGs) in CD (GSE112366) and CRC (GSE110224), analyzed by 'edgeR' and 'limma'. The Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes explored DEG functions, and the Search Tool for the Retrieval of Interacting Genes (STRING) informed the protein-protein interaction network construction visualized in Cytoscape (version 3.7.2). Cyto-Hubba identified key genes, whose biomarker potential for CD and CRC was evaluated.

RESULTS

The study discovered 61 DEGs, with 44 up- and 17 down-regulated, linked to immune responses and signaling pathways. CXCL1, highly expressed in colon cancer, correlated with better prognosis and lower staging. It also showed associations with immune infiltration and checkpoint molecules, suggesting a role in cancer progression and retreat.

CONCLUSION

CXCL1 may play a role in the development of colorectal cancer from inflammatory bowel disease.

摘要

目的

本研究旨在探究克罗恩病（CD）与结直肠癌（CRC）之间的分子联系及机制。

方法

本研究利用基因表达综合数据库（GEO）来鉴定CD（GSE112366）和CRC（GSE110224）中的差异表达基因（DEG），采用“edgeR”和“limma”进行分析。基因本体论和京都基因与基因组百科全书对DEG功能进行了探究，检索相互作用基因的搜索工具（STRING）为在Cytoscape（版本3.7.2）中可视化的蛋白质-蛋白质相互作用网络构建提供了信息。Cyto-Hubba鉴定出关键基因，并对其在CD和CRC中的生物标志物潜力进行了评估。