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Identification of core biomarkers associated with pathogenesis and prognostic outcomes of laryngeal squamous-cell cancer using bioinformatics analysis

  • Laryngology
  • Published:
European Archives of Oto-Rhino-Laryngology Aims and scope Submit manuscript

Abstract

Purpose

Despite advances in the treatment of laryngeal squamous-cell carcinoma (LSCC), the survival rate of LSCC remains poor. Thereby, it is urgent to identify novel diagnostic and prognostic biomarkers for LSCC. The study aimed to identify potential core genes associated with the pathogenesis and prognosis of LSCC.

Methods

Differentially expressed genes between LSCC and normal laryngeal tissue samples were screened by an integrated analysis of data from GEO and TCGA databases. Core genes related to the pathogenesis and prognosis of LSCC were identified by employing protein–protein interaction network and Cox proportional hazards model analyses.

Results

Ten hub genes (AURKA, AURKB, CDC45, KIF2C, NDC80, EXO1, TYMS, RAD51AP1, ITGA3, and UBE2T) that might be highly related to the pathogenesis of LSCC were identified. An eight-gene prognostic signature consisted of ZG16B, STATH, RTN4R, MSRA, CBX8, SLC5A1, EFNB1 and CNTFR was constructed with a good performance in predicting overall survivals.

Conclusion

Our findings might shed some new light on the pathogenesis of LSCC and help identify new therapeutic targets of LSCC.

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Abbreviations

LSCC:

Laryngeal squamous-cell carcinoma

TCGA:

The Cancer Genome Atlas

GEO:

Gene expression omnibus

PPI:

The protein–protein interaction network

GO:

Gene ontology

DEG:

Differentially expressed gene

OS:

Overall survival

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Funding

This work was supported by the Natural Science Foundation of Fujian Province (Grant numbers: 2016J01548); Professor Foundation of Fujian Medical University (Grant numbers: JS15019); Medical Innovation Project of Fujian Medical University (Grant numbers: 2017-CX-23).

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Author notes

  1. Wei Chen and Lianming Liao contributed equally to this work.

Authors and Affiliations

  1. Department of Otolaryngology, Fujian Medical University Union Hospital, 29# Xinquan Road, Fujian, 350001, Fuzhou, China

    Wei Chen, Haichun Lai, Xuehan Yi & Desheng Wang

  2. Department of Laboratory Medicine, Fujian Medical University Union Hospital, Fujian, 350001, Fuzhou, China

    Lianming Liao

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  1. Wei Chen
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Contributions

CW, WDS and LLM performed the conception and design of this manuscript. WDS and LLM provided useful suggestions in methodology. CW, LHC and YXH performed data analysis and prepared the figure. CW and LLM drafted the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Desheng Wang.

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The authors declare that they have no competing interests.

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All the data used was open access and approved with the ethics approval of The National Cancer Institute’s (NCI) Genomic Data Commons (GDC) policy.

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Chen, W., Liao, L., Lai, H. et al. Identification of core biomarkers associated with pathogenesis and prognostic outcomes of laryngeal squamous-cell cancer using bioinformatics analysis. Eur Arch Otorhinolaryngol 277, 1397–1408 (2020). https://doi.org/10.1007/s00405-020-05856-5

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