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Identification of core miRNA prognostic markers in patients with laryngeal cancer using bioinformatics analysis

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Abstract

Purpose

Lots of studies indicated that many microRNAs (miRNAs) are associated with the prognosis of patients with laryngeal cancer (LC). The objective of our study is to identify potential core miRNAs associated with the pathogenesis and prognosis of LC.

Methods

Using the Cancer Genome Atlast database, we identified 70 differentially expressed miRNAs between LC tumor specimens and non-tumor specimens. Then Cox regression analyses and the least absolute shrinkage and selection operator regression signature were performed to detect miRNA prognostic markers. A nomogram integrating miRNA prognostic markers was constructed to predict overall survival (OS) for LC patients. The potential target genes of the key miRNA were predicted by miRTarBase and miRDB databases. Subsequently, their potential functions were revealed by gene ontology annotation and kyoto encyclopedia of genes and genomes pathway enrichment analysis. Related biological pathways of the key target gene involved in LC were detected through gene set enrichment analysis (GSEA).

Results

A prognostic miRNA signature was constructed. The up-regulated miR‐105–1 was related to a worse OS (p = 0.043), which suggested that miR‐105–1 may likely be the key miRNA prognostic marker. Survival analyses and paired expression analyses of target genes indicated that ENDOU may be the key target gene. Finally, we conducted GSEA to elucidate the pathways enriched between low- and high-ENDOU expression datasets.

Conclusion

Our findings might bring some new light on the pathogenesis of LC. Then, it might facilitate doctors to predict the prognosis and improve treatment outcomes for LC patients. However, the behaviors of LC are relatively heterogeneous, and the TCGA database cannot provide detailed information about the subsites and treatment modalities of LC. Further molecular biological experiments and clinical investigations would be required to confirm this conclusion.

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Acknowledgements

We are grateful to Dr. Hui-Zi Li for his technical support.

Funding

The work was supported by grants from the National Natural Science Foundation of China (No.81172561), the Ministry of Science and Technology of the People’s Republic of China (No. 2014CB541700), and Department of Science and Technology of Zhejiang Province (No. 2015C03035).

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Authors and Affiliations

  1. Department of Otorhinolaryngology, School of Medicine, The Second Affiliated Hospital, Zhejiang University, 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China

    Guan-Jiang Huang & Bei-Bei Yang

Authors
  1. Guan-Jiang Huang
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  2. Bei-Bei Yang
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Contributions

G-J Huang and B-B Y performed the conception and design of this manuscript. G-J Huang and B-B Y performed data analysis and prepared the figure. G-J Huang and B-B Y drafted and revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Bei-Bei Yang.

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The authors declare no conflicts of interest in the work.

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Ethics approval and patient written informed consent were not required because all analyses in our study were mainly performed based on data from the TCGA database.

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Huang, GJ., Yang, BB. Identification of core miRNA prognostic markers in patients with laryngeal cancer using bioinformatics analysis. Eur Arch Otorhinolaryngol 278, 1613–1626 (2021). https://doi.org/10.1007/s00405-020-06275-2

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