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Chinese Archives of General Surgery(Electronic Edition) ›› 2020, Vol. 14 ›› Issue (05): 349-354. doi: 10.3877/cma.j.issn.1674-0793.2020.05.007

Special Issue:

• Original Article • Previous Articles     Next Articles

Bioinformatics analysis and significance of key genes for oxaliplatin resistance in colorectal cancer

Jianbo Xu1,(), Xingyu Zhou1, Qinqin Xie2, Xinde Ou1, Jinning Ye1, Jianjun Peng1, Hui Wu1   

  1. 1. Department of Gastrointestinal Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
    2. School of Nursing, Sun Yat-sen University, Guangzhou 510080, China
  • Received:2020-06-05 Online:2020-10-01 Published:2020-10-01
  • Contact: Jianbo Xu
  • About author:
    Corresponding author: Xu Jianbo, Email:

Abstract:

Objective

To identify the gene signatures and pathways associated with oxaliplatin (OXA) resistance in colorectal cancer (CRC).

Methods

The gene expression profile of GSE76092 was analyzed from the Gene Expression Omnibus (GEO) database. Via GEO2R tool, differentially expressed genes (DEGs) between OXA-sensitive and OXA-resistant cell lines of CRC were sorted. Then the DAVID online tool was used to analyze Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway. Next, protein-protein interaction (PPI) networks were constructed by STRING and modified by Cytoscape. The hub genes were selected via MCODE plugin and the survival analysis was performed on the GEPIA. Finally, the miRWalk was used to predict the gene-related miRNAs.

Results

A total of 474 DEGs were obtained. The DEGs-related GO and KEGG pathways were identified and the PPI networks were built. Among them, 15 hub genes were screened out, 7 of which were significantly involved in NF-kappa B signaling pathway and Chemokine signaling pathway. The survival analysis of the 7 key genes indicated that CXCL8, IL-1β and PTGS2 expression levels were associated with overall survival. Finally, hsa-miR-6893-5p, hsa-miR-7851-3p and hsa-miR-96-3p were predicted as the core miRNAs.

Conclusion

On the basis of bioinformatical methods, key genes and pathways in OXA-resistant CRC were identified, which could provide a deeper understanding of underlying mechanisms of OXA resistance in CRC.

Key words: Colorectal Neoplasms, Oxaliplatin, Resistance, Bioinformatics analysis

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