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Development and validation of a novel metabolic signature for predicting prognosis in patients with laryngeal cancer

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

A Letter to the Editor to this article was published on 17 February 2021

Abstract

Purpose

Despite advances in the development of treatments for laryngeal cancer (LC), including surgical treatments and radio-chemotherapy, the survival rate of LC remains low. Therefore, novel metabolic signatures are urgently needed to evaluate the prognosis of LC patients.

Methods

Differentially expressed metabolic genes were extracted via bioinformatics analysis from the raw data of The Cancer Genome Atlas and Gene Expression Omnibus (GEO) databases. Univariate Cox regression and LASSO analyses were performed to identify metabolic genes that were significantly correlated with overall survival (OS). Using the Kaplan–Meier analysis and receiver operating characteristics, the prognostic power of candidate signatures was evaluated in the two databases. Gene Set Enrichment Analysis (GSEA) was performed to explore significant signaling pathways and underlying mechanisms in the high- and low-risk groups.

Results

Thirteen metabolism genes showed superior ability to predict OS for LC when compared to clinical variables, and patients in the high-risk group showed significantly poorer OS than those in the low-risk group. The area under the curve of receiver operating curves for 5- and 3-year OS was 0.929 and 0.899, respectively, which were better than the OS obtained with clinicopathological variables. Similar results obtained in the GEO cohort indicated that this gene signature could differentiate between LC patients with and without recurrence.

Conclusion

To our knowledge, this study is the first to report that the 13 metabolic genes could serve as an independent biomarker for LC, which could provide vital prognostic information and prediction for personalized treatment of LC.

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Acknowledgements

The authors thank the efforts of the National Cancer Institute in the creation of the TCGA and GEO databases.

Funding

No financial assistance was required for this study.

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Author notes

  1. Wenfei Li and Min Fu are co-first author.

Authors and Affiliations

  1. Department of Radiology, First Hospital of Qinhuangdao, Wenhua Road 258, Qinhuangdao, 066000, Hebei, China

    Wenfei Li, Min Fu & Zhanqiu Wang

  2. Department of Otolaryngology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China

    Kun Zhao

  3. Department of Radiology, Affiliated Zhongshan Hospital of DaLian University, Dalian, Liaoning, China

    Fang Han

  4. Department of Anesthesiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China

    Ning Bu

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Contributions

WFL and ZQW conceived and designed the study; HF and NB collected the data. MF and KZ analyzed the data. WFL and MF contributed to the writing of the manuscript.

Corresponding author

Correspondence to Zhanqiu Wang.

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All authors indicated no potential conflicts of interest.

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The data used to support the findings of this study are included within the article.

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Li, W., Fu, M., Zhao, K. et al. Development and validation of a novel metabolic signature for predicting prognosis in patients with laryngeal cancer. Eur Arch Otorhinolaryngol 278, 1129–1138 (2021). https://doi.org/10.1007/s00405-020-06444-3

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  • DOI: https://doi.org/10.1007/s00405-020-06444-3

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