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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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.
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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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DOI: https://doi.org/10.1007/s00405-020-05856-5