Journal of Shandong University (Health Sciences) ›› 2024, Vol. 62 ›› Issue (1): 21-30.doi: 10.6040/j.issn.1671-7554.0.2023.1090

• Clinical Medicine • Previous Articles    

Exploring colorectal cancer related genes and their functions based on GEO

JING Kai1,2, XU Zhiwei3, LI Leping1,4   

  1. 1. Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China;
    2. The Peoples Hospital of Huaiyin. Jinan, Jinan 250117, Shandong, China;
    3. Department of Outpatient, Yantai Yuhuangding Hospital, Yantai 264200, Shandong, China;
    4. Shandong Provincial Hospital, Jinan 250021, Shandong, China
  • Published:2024-02-02

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Abstract: Objective To explore the differential expression genes(DEGs)in colorectal cancer(CRC)using bioinformatic analysis in combination with the Gene Expression Omnibus(GEO)database. Methods The gene expression data of tumor tissue and normal tissue of CRC patients were obtained from the GEO database. The DEGs were screened using GEO2R, which then underwent GO enrichment analysis using the David database to identify the molecular functions, cellular components and biological processes. The signaling pathways of the DEGs were obtained from the KEGG to construct protein interaction network. Topological analysis of key nodes in the network was performed using Cytoscape software to screen out key genes in the pathogenesis of CRC. Results Through bioinformatic analysis of the GSE21510 dataset, a total of 664 DEGs were screened, including 234 upregulated and 430 downregulated genes, which were mainly involved in the biological processes, such as cell division, positive and negative regulation of RNA polymerase II promoter transcription, as well as in the composition of cellular components, such as the nucleus, cytoplasm, cytosol, plasma, and cell membrane, and in processes such as the expression and realization of molecular functions of protein-binding, ATP-binding, and so on. Protein network analysis identified the upregulated genes, including CDK1, CCNB1, TOP2A, AURKA, UBE2C, BUB1, CHEK1, RRM2, MYC, and TPX2, and the downregulated genes, including SLC26A3, CLCA4, GUCA2A, MS4A12, ZG16, GUCA2B, CLCA1, AQP8, MT1E and MT1G. Survival analysis showed that the low expression of the key gene CCNB1 was significantly correlated with poor prognosis of CRC patients(logrank P<0.01). Moreover, CCNB1 was significantly correlated with tumor pathological stage(P<0.01). Conclusion The screened key genes may become markers or potential targets for the diagnosis or treatment of CRC, which provide theoretical reference for the research on the pathogenesis and treatment of CRC.

Key words: Colorectal cancer, Gene Expression Omnibus, Database chip, Bioinformatic analysis, Differential expression genes

CLC Number: 

  • R574
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