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Article Open Access

Identification of key candidate genes for colorectal cancer by bioinformatics analysis

  • Authors:
    • Zhihua Chen
    • Yilin Lin
    • Ji Gao
    • Suyong Lin
    • Yan Zheng
    • Yisu Liu
    • Shao Qin Chen
  • View Affiliations / Copyright

    Affiliations: Department of Gastrointestinal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350004, P.R. China, School of Nursing, Fujian Medical University, Fuzhou, Fujian 350004, P.R. China
    Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 6583-6593
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    Published online on: October 17, 2019
       https://doi.org/10.3892/ol.2019.10996
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Abstract

Colorectal cancer (CRC) is one of the most common cancers of the digestive tract. Although numerous studies have been conducted to elucidate the cause of CRC, the exact mechanism of CRC development remains to be determined. To identify candidate genes that may be involved in CRC development and progression, the microarray datasets GSE41657, GSE77953 and GSE113513 were downloaded from the Gene Expression Omnibus database. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used for functional enrichment analysis of differentially expressed genes (DEGs). A protein‑protein interaction network was constructed, and the hub genes were subjected to module analysis and identification using Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape. A total of 142 DEGs were identified, with enriched functions and pathways in the ‘cell cycle’, ‘cell proliferation’, ‘the mitotic cell cycle’ and ‘one‑carbon metabolic process’. In addition, 10 hub genes were identified, and functional analysis indicated that these genes are mainly enriched in ‘cell division’, ‘cell cycle’ and functions associated with nucleotide binding processes. Survival analysis demonstrated that DNA topoisomerase II α, cyclin‑dependent kinase 1 and CDC28 protein kinase regulatory subunit 2 may be involved in cancer invasion or recurrence. The DEGs identified in the present study may help explain the molecular mechanisms of CRC development and progression.
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Copy and paste a formatted citation
Spandidos Publications style
Chen Z, Lin Y, Gao J, Lin S, Zheng Y, Liu Y and Chen SQ: Identification of key candidate genes for colorectal cancer by bioinformatics analysis. Oncol Lett 18: 6583-6593, 2019.
APA
Chen, Z., Lin, Y., Gao, J., Lin, S., Zheng, Y., Liu, Y., & Chen, S.Q. (2019). Identification of key candidate genes for colorectal cancer by bioinformatics analysis. Oncology Letters, 18, 6583-6593. https://doi.org/10.3892/ol.2019.10996
MLA
Chen, Z., Lin, Y., Gao, J., Lin, S., Zheng, Y., Liu, Y., Chen, S. Q."Identification of key candidate genes for colorectal cancer by bioinformatics analysis". Oncology Letters 18.6 (2019): 6583-6593.
Chicago
Chen, Z., Lin, Y., Gao, J., Lin, S., Zheng, Y., Liu, Y., Chen, S. Q."Identification of key candidate genes for colorectal cancer by bioinformatics analysis". Oncology Letters 18, no. 6 (2019): 6583-6593. https://doi.org/10.3892/ol.2019.10996
Copy and paste a formatted citation
x
Spandidos Publications style
Chen Z, Lin Y, Gao J, Lin S, Zheng Y, Liu Y and Chen SQ: Identification of key candidate genes for colorectal cancer by bioinformatics analysis. Oncol Lett 18: 6583-6593, 2019.
APA
Chen, Z., Lin, Y., Gao, J., Lin, S., Zheng, Y., Liu, Y., & Chen, S.Q. (2019). Identification of key candidate genes for colorectal cancer by bioinformatics analysis. Oncology Letters, 18, 6583-6593. https://doi.org/10.3892/ol.2019.10996
MLA
Chen, Z., Lin, Y., Gao, J., Lin, S., Zheng, Y., Liu, Y., Chen, S. Q."Identification of key candidate genes for colorectal cancer by bioinformatics analysis". Oncology Letters 18.6 (2019): 6583-6593.
Chicago
Chen, Z., Lin, Y., Gao, J., Lin, S., Zheng, Y., Liu, Y., Chen, S. Q."Identification of key candidate genes for colorectal cancer by bioinformatics analysis". Oncology Letters 18, no. 6 (2019): 6583-6593. https://doi.org/10.3892/ol.2019.10996
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