Open Access

Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis

  • Authors:
    • Jun Man
    • Xiaomei Zhang
    • Huan Dong
    • Simin Li
    • Xiaolin Yu
    • Lihong Meng
    • Xiaofeng Gu
    • Hong Yan
    • Jinwei Cui
    • Yuxin Lai
  • View Affiliations

  • Published online on: September 16, 2019     https://doi.org/10.3892/ol.2019.10873
  • Pages: 5185-5196
  • Copyright: © Man et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The high mortality rate of lung squamous cell carcinoma (LUSC) is in part due to the lack of early detection of its biomarkers. The identification of key molecules involved in LUSC is therefore required to improve clinical diagnosis and treatment outcomes. The present study used the microarray datasets GSE31552, GSE6044 and GSE12428 from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs). Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses were conducted to construct the protein‑protein interaction network of DEGs and hub genes module using STRING and Cytoscape. The 67 DEGs identified consisted of 42 upregulated genes and 25 downregulated genes. The pathways predicted by KEGG and GO enrichment analyses of DEGs mainly included cell cycle, cell proliferation, glycolysis or gluconeogenesis, and tetrahydrofolate metabolic process. Further analysis of the University of California Santa Cruz and ONCOMINE databases identified 17 hub genes. Overall, the present study demonstrated hub genes that were closely associated with clinical tissue samples of LUSC, and identified TYMS, CCNB2 and RFC4 as potential novel biomarkers of LUSC. The findings of the present study contribute to an improved understanding of the molecular mechanisms of carcinogenesis and progression of LUSC, and assist with the identification of potential diagnostic and therapeutic targets of LUSC.
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November-2019
Volume 18 Issue 5

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

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Spandidos Publications style
Man J, Zhang X, Dong H, Li S, Yu X, Meng L, Gu X, Yan H, Cui J, Lai Y, Lai Y, et al: Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis. Oncol Lett 18: 5185-5196, 2019.
APA
Man, J., Zhang, X., Dong, H., Li, S., Yu, X., Meng, L. ... Lai, Y. (2019). Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis. Oncology Letters, 18, 5185-5196. https://doi.org/10.3892/ol.2019.10873
MLA
Man, J., Zhang, X., Dong, H., Li, S., Yu, X., Meng, L., Gu, X., Yan, H., Cui, J., Lai, Y."Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis". Oncology Letters 18.5 (2019): 5185-5196.
Chicago
Man, J., Zhang, X., Dong, H., Li, S., Yu, X., Meng, L., Gu, X., Yan, H., Cui, J., Lai, Y."Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis". Oncology Letters 18, no. 5 (2019): 5185-5196. https://doi.org/10.3892/ol.2019.10873