Open Access

Four targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis case

  • Authors:
    • Qinglai Bian
    • Jiaxu Chen
    • Wenqi Qiu
    • Chenxi Peng
    • Meifang Song
    • Xuebin Sun
    • Yueyun Liu
    • Fengmin Ding
    • Jianbei Chen
    • Liqing Zhang
  • View Affiliations

  • Published online on: September 13, 2019     https://doi.org/10.3892/ol.2019.10866
  • Pages: 5043-5054
  • Copyright: © Bian et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The molecular mechanisms underlying the development and progression of colorectal cancer (CRC) have not been clarified. The purpose of the present study was to identify key genes that may serve as novel therapeutic targets or prognostic predictors in patients with CRC using bioinformatics analysis. Four gene expression datasets were downloaded from the Gene Expression Omnibus database, which revealed 19 upregulated and 34 downregulated differentially expressed genes (DEGs). The downregulated DEGs were significantly enriched in eight pathways according to Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. A protein‑protein interaction network was constructed with 52 DEGs and 458 edges. Ten key genes were identified according to the degree value, betweenness centrality and closeness centrality. Survival analysis revealed that low expression of four of the ten genes, carcinoembryonic antigen related cell adhesion molecule 7 (CEACAM7), solute carrier family 4 member 4 (SLC4A4), glucagon (GCG) and chloride channel accessory 1 (CLCA1) genes, were associated with unfavorable prognosis in CRC. Furthermore, gene set enrichment analysis revealed that two pathways were significantly enriched in the CEACAM7 low‑expression group. Thus, CEACAM7, SLC4A4, GCG and CLCA1 may be prognostic markers or therapeutic targets of CRC. Low CEACAM7 expression may be associated with the activation of glycosaminoglycan biosynthesis‑chondroitin sulfate and extracellular matrix receptor interaction pathways and may affect the prognosis of CRC.
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November-2019
Volume 18 Issue 5

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Copy and paste a formatted citation
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Spandidos Publications style
Bian Q, Chen J, Qiu W, Peng C, Song M, Sun X, Liu Y, Ding F, Chen J, Zhang L, Zhang L, et al: Four targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis case. Oncol Lett 18: 5043-5054, 2019.
APA
Bian, Q., Chen, J., Qiu, W., Peng, C., Song, M., Sun, X. ... Zhang, L. (2019). Four targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis case. Oncology Letters, 18, 5043-5054. https://doi.org/10.3892/ol.2019.10866
MLA
Bian, Q., Chen, J., Qiu, W., Peng, C., Song, M., Sun, X., Liu, Y., Ding, F., Chen, J., Zhang, L."Four targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis case". Oncology Letters 18.5 (2019): 5043-5054.
Chicago
Bian, Q., Chen, J., Qiu, W., Peng, C., Song, M., Sun, X., Liu, Y., Ding, F., Chen, J., Zhang, L."Four targeted genes for predicting the prognosis of colorectal cancer: A bioinformatics analysis case". Oncology Letters 18, no. 5 (2019): 5043-5054. https://doi.org/10.3892/ol.2019.10866