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Construction of a novel MPT-driven necrosis-related lncRNAs signature for prognosis prediction in laryngeal squamous cell carcinoma

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Abstract

Mitochondrial permeability transition (MPT)-driven necrosis, a type of programmed cell death, has recently gained much attention in a variety of tumor types. Few studies have been performed to explore the role of MPT-driven necrosis-related lncRNAs (MPTDNRlncRNAs) in laryngeal squamous cell carcinoma (LSCC). The purpose of our study is to screen MPTDNRlncRNAs with prognostic value and to explore their potential roles in LSCC. The RNA-sequencing data and the corresponding clinical data of LSCC patients were obtained from the TCGA database, and those MPT-driven necrosis-related genes were extracted from the Gene Set Enrichment Analysis (GSEA) database. We identified MPTDNRlncRNAs differentially expressed in LSCC. Also, we gained MPT-driven necrosis-related prognostic lncRNAs by univariate cox regression analysis. A novel MPTDNRlncRNAs signature was constructed by LASSO-COX. The accuracy and utility of the MPTDNRlncRNAs signature were evaluated via a variety of statistical methods. Multiple bioinformatics tools were used to explore the underlying difference in biological functions and signaling pathways between the different risk groups. The expressions levels of MPTDNRlncRNAs were analyzed using RT-qPCR in LSCC cell line. Finally, we identified A 5 MPTDNRlncRNAs signature in LSCC. Our prognostic model demonstrated an efficient ability to predict outcomes. The proportion difference of immune cells in the subgroups were significant, such as M0 macrophage and T follicular helper cells. The in vitro experiments suggested that our MPTDNRlncRNAs were significantly different. This 5 MPTDNRlncRNAs signature is a prognostic biomarker for LSCC. More importantly, the novel biologic prognostic model can be utilized for personalized immunotherapy in LSCC patients.

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Data availability

The dataset used in our study may be found in the article/Supplemental Material. The original data is available at https://portal.gdc.cancer.gov/. Any further questions should be forwarded to the corresponding author.

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Acknowledgements

We thank the investigators and institutions of the TCGA research network that have significantly contributed to uploading their meaningful datasets used for this study.

Funding

This work was supported by the Hospital-level Project of QingPu Branch of Zhongshan Hospital Affiliated to Fudan University (QYT2021-02), the Discipline Leader Training Program of Health Commission (WD2019-13, Qingpu District, Shanghai, People’s Republic of China), and the Project of Health Commission (W2021-03, Qingpu District, Shanghai, People’s Republic of China).

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Authors and Affiliations

  1. Xiangya Hospital, Central South University, Changsha, Hunan, 41000, People’s Republic of China

    Min Zhang

  2. Department of Otolaryngology-Head and Neck Surgery, QingPu Branch of Zhongshan Affilated to Fudan University, Shanghai, 201700, People’s Republic of China

    Jian Liu, Qing Sun, Xuemei Qin, Tianle Gao, Yinwei Xu, Shuhui Han, Yujie Zhang & Zhiqiang Guo

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  1. Jian Liu
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Contributions

JL and MZ drafted the manuscript and performed the experiments. QS, XQ, and TG provided the algorithms and analyzed the data. YX, SH, and YZ produced the figures and tables. ZG corrected the manuscript. All authors contributed by their comments to the article preparation, writing, and approved the final version to be published.

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Correspondence to Zhiqiang Guo.

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Jian Liu and Min Zhang are co-first authors and contribute equally to this work.

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Liu, J., Zhang, M., Sun, Q. et al. Construction of a novel MPT-driven necrosis-related lncRNAs signature for prognosis prediction in laryngeal squamous cell carcinoma. Environ Sci Pollut Res 30, 77210–77225 (2023). https://doi.org/10.1007/s11356-023-26996-1

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