Abstract
Purpose
Predicting the prognosis in laryngeal squamous cell carcinoma (LSCC) patients will improve clinical decision-making. Here, we aimed to identify a qualitative signature based on the within-sample relative expression orderings (REOs) of microRNA (miRNA) pairs to predict the overall survival (OS) of LSCC patients.
Methods
First, we constructed non-repeating miRNA pairs based on differentially expressed miRNAs (DEmiRNAs) between LSCC and normal tissues. Then, we applied a bootstrap-based feature selection method to identify a robust miRNA-pair signature. The bootstrap-based feature selection improved the stability of feature selection by an ensemble based on the data perturbation. Furthermore, a series of bioinformatics analyses were carried out to explore the potential mechanisms of the signature and potential drug targets for LSCC.
Results
Based on the REOs of miRNA pairs, we identified a qualitative signature that consisted of 12 miRNA pairs. The constructed signature has good performance in predicting the OS of LSCC patients. It is robust against batch effects and more suitable for individual clinical applications. Furthermore, we identified several hub genes that may be potential drug targets for LSCC.
Conclusion
Overall, our findings provided a promising signature for predicting the OS of LSCC patients.
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Availability of data and materials
The datasets of this article are available in the TCGA database.
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Acknowledgements
We acknowledge the TCGA database for providing their platforms and contributors for uploading their meaningful datasets.
Funding
This study is funded by Sanming Project of Medicine in Shenzhen (SZSM201812062 and SZSM201612097).
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SZ conceived and designed the study. SZ performed the computations. SZ, QM and ZW wrote the manuscript. All the authors contributed to the final version of the manuscript. All authors have read and agreed to the published version of the manuscript.
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Zhou, S., Meng, Q. & Wang, Z. Prognostic value of a microRNA-pair signature in laryngeal squamous cell carcinoma patients. Eur Arch Otorhinolaryngol 279, 4451–4460 (2022). https://doi.org/10.1007/s00405-022-07404-9
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DOI: https://doi.org/10.1007/s00405-022-07404-9