Department of Orthopaedics, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Department of Paediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Taicang Hospital of Traditional Chinese Medicine, Taicang, China.
J Cell Mol Med. 2024 Mar;28(5):e17878. doi: 10.1111/jcmm.17878. Epub 2023 Jul 26.
Ulcerative colitis (UC) is one of the high-risk pathogenic factors for colorectal cancer (CRC). However, the shared gene and signalling mechanisms between UC and CRC remain unclear. The goal of this study was to delve more into the probable causal relationship between UC and CRC. CRC and UC datasets were downloaded from the Gene Expression Omnibus database. Using R software and Perl, differentially expressed genes (DEGs) in both UC and CRC tissues were re-annotated and screened. The biological activities and signalling pathways involved in DEGs were investigated using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. The STRING database and Cytoscape software were used to construct the gene interaction network. A total of 384 DEGs were selected for further investigation, and functional analysis revealed that inflammatory and immunological responses were crucial in the development of the two diseases. Moreover, the top 15 key genes involved in the UC and CRC were screened using cytoHubba, including IL1B, CXCL10, CCL20, MMP9, ICAM1, CCL4, CXCR1, MMP3, TLR2, PTGS2, IL1RN, IL6, COL1A2, TIMP1 and CXCL1. The identification of these genes in the present study may provide a novel perspective for the prediction, prevention and personalized medicine of UC and CRC patients.
溃疡性结肠炎（UC）是结直肠癌（CRC）的高危致病因素之一。然而，UC 和 CRC 之间的共同基因和信号机制仍不清楚。本研究旨在更深入地研究 UC 和 CRC 之间可能存在的因果关系。从基因表达综合数据库中下载 CRC 和 UC 数据集。使用 R 软件和 Perl 重新注释和筛选 UC 和 CRC 组织中的差异表达基因（DEGs）。使用基因本体论和京都基因与基因组百科全书富集分析研究 DEGs 涉及的生物学活性和信号通路。使用 STRING 数据库和 Cytoscape 软件构建基因相互作用网络。选择了 384 个 DEGs 进行进一步研究，功能分析表明，炎症和免疫反应在两种疾病的发展中至关重要。此外，使用 cytoHubba 筛选出 UC 和 CRC 中涉及的 15 个关键基因，包括 IL1B、CXCL10、CCL20、MMP9、ICAM1、CCL4、CXCR1、MMP3、TLR2、PTGS2、IL1RN、IL6、COL1A2、TIMP1 和 CXCL1。本研究中这些基因的鉴定可能为 UC 和 CRC 患者的预测、预防和个体化医学提供新的视角。
