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A novel and independent survival prognostic model for OSCC: the functions and prognostic values of RNA-binding proteins

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Abstract

Background

Oral squamous cell carcinoma (OSCC), exhibiting high morbidity and malignancy, is the most common type of oral cancer. The abnormal expression of RNA-binding proteins (RBPs) plays important roles in the occurrence and progression of cancer. The objective of the present study was to establish a prognostic assessment model of RBPs and to evaluate the prognosis of OSCC patients.

Methods

Gene expression data in The Cancer Genome Atlas (TCGA) were analyzed by univariate Cox regression analysis model that established a novel nine RBPs, which were used to build a prognostic risk model. A multivariate Cox proportional regression model and the survival analysis were used to evaluate the prognostic risk model. Moreover, the receive operator curve (ROC) analysis was tested further the efficiency of prognostic risk model based on data from TCGA database and Gene Expression Omnibus (GEO).

Results

Nine RBPs’ signatures (ACO1, G3BP1, NMD3, RNGTT, ZNF385A, SARS, CARS2, YARS and SMAD6) with prognostic value were identified in OSCC patients. Subsequently, the patients were further categorized into high-risk group and low-risk in the overall survival (OS) and disease-free survival (DFS), and external validation dataset. ROC analysis was significant for both the TCGA and GEO. Moreover, GSEA revealed that patients in the high-risk group significantly enriched in many critical pathways correlated with tumorigenesis than the low, including cell cycle, adheres junctions, oocyte meiosis, spliceosome, ERBB signaling pathway and ubiquitin-mediated proteolysis.

Conclusions

Collectively, we developed and validated a novel robust nine RBPs for OSCC prognosis prediction. The nine RBPs could serve as an independent and reliable prognostic biomarker and guiding clinical therapy for OSCC patients.

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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

Not applicable.

Funding

The Startup Fund for scientific research, University of Chinese Academy of Sciences—Shenzhen Hospital, HRF-2020012, Xuegang Hu, the Guangming District Economic Development Special Fund, 2021R01063, Xuegang Hu, 2021R01065, Long Zhang, Natural Science Foundation of Fujian Province, 2020J011142, Lina Fan, Shenzhen Science and Technology Innovation Committee Foundation, JCYJ20180302145402866, Baorong Zhang, Education and Teaching Reform Research Project of Fujian Medical University, J21017, Lina Fan.

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Author notes

  1. Shanshan Wang and Shuang Liu have contributed equally to this work.

Authors and Affiliations

  1. Shenzhen Stomatology Hospital, Shenzhen, 518001, Guangdong, People’s Republic of China

    Shanshan Wang, Yaomin Zhu, Yongtao Yang, Limei Li & Yingying Sun

  2. Shenzhen Luohu People’s Hospital, Shenzhen, 518001, Guangdong, People’s Republic of China

    Shuang Liu

  3. Department of Stomatology, University of Chinese Academy of Sciences Shenzhen Hospital, Songbai Road 4253, Shenzhen, 518107, Guangdong, People’s Republic of China

    Baorong Zhang, Long Zhang, Xuegang Hu & Chunyu Huang

  4. Department of Stomatology, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, 350025, Fujian, China

    Lina Fan

  5. Medical Affairs Department, University of Chinese Academy of Sciences-Shenzhen Hospital, Songbai Road 4253, Shenzhen, 518107, Guangdong, China

    Chunyu Huang

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  1. Shanshan Wang
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Wang, S., Liu, S., Zhu, Y. et al. A novel and independent survival prognostic model for OSCC: the functions and prognostic values of RNA-binding proteins. Eur Arch Otorhinolaryngol 281, 397–409 (2024). https://doi.org/10.1007/s00405-023-08200-9

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