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Identification of a cuproptosis-related lncRNA prognostic signature in lung adenocarcinoma

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Abstract

Purpose

Cuproptosis-related long non-coding RNA (lncRNA) diseases are associated with the occurrence and development of tumors. This study aimed to investigate whether cuproptosis-related lncRNA can predict the prognosis of patients with lung adenocarcinoma (LUAD).

Methods

Cuproptosis-related lncRNA prognosis (CLPS) model was successfully constructed through cox regression and lasso regression analyses. Then, the prognostic value of CLPS model was tested through the survival analysis, the ROC curve and the nomogram. Finally, the correlation of CLPS model with tumor immunity and tumor mutation burden was analyzed, and the potential susceptibility of drugs for LUAD were predicted.

Results

CLPS model for LUAD (AC090948.1, CRIM1-DT, AC026356.2, AC004832.5, AL161431.1) was successfully constructed, which has an independent prognostic value. Furthermore, the risk score of CLPS model was correlated with tumor immune characteristics and immune escape, which can predict the sensitivity of drugs including Cisplatin, Etoposide, Gemcitabine, and Erlotinib.

Conclusions

In conclusion, it was found that CLPS model was associated with tumor immunity and tumor mutation load, which also predicted four potentially sensitive drugs for LUAD patients at different risks.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

We thank the The Cancer Genome Atlas (TCGA) network for sharing large amounts of data.

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Author notes

  1. Ran Chen and Haichao Luo have contributed equally to this work.

Authors and Affiliations

  1. Department of Oncology, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, 441000, China

    Ran Chen, Haichao Luo, Qitian Chen & Changying Wang

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  1. Ran Chen
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  2. Haichao Luo
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  3. Qitian Chen
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Contributions

RC conceived and designed the study, and drafted the manuscript. HL and QC collected, analyzed and interpreted the experimental data. CW revised the manuscript for important intellectual content. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Qitian Chen or Changying Wang.

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Chen, R., Luo, H., Chen, Q. et al. Identification of a cuproptosis-related lncRNA prognostic signature in lung adenocarcinoma. Clin Transl Oncol 25, 1617–1628 (2023). https://doi.org/10.1007/s12094-022-03057-6

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  • DOI: https://doi.org/10.1007/s12094-022-03057-6

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