Development of a prognostic pyroptosis-related gene signature for head and neck squamous cell carcinoma patient

Cancer Cell International

Jie Wang¹  Mengqi Wang¹  Weiwen Zhu¹  Rundong Zhai¹  Yanbin Xu¹  Jiayi Zhang¹  Laikui Liu¹  Mengyao Wang¹  Hang Zhang² 

[1] Department of Basic Science of Stomatology, The Affiliated Stomatological Hospital of Nanjing Medical University, 136# Hanzhong Road, 210029, Nanjing, Jiangsu, China;Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu, China;Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, Jiangsu, China;Jiangsu Province Key Laboratory of Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu, China;Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, Jiangsu, China;

关键词: Head and neck squamous cell carcinoma;    Pyroptosis;    Prognostic model;    NLRP3;   

DOI  :  10.1186/s12935-022-02476-3

来源: Springer

【 摘 要 】

ObjectiveHead and neck squamous cell carcinoma (HNSCC) is a major threat to public health. Pyroptosis is a form of inflammatory programmed cell death that is still incompletely understood. The role of pyroptotic cell death in HNSCC remains to be fully defined. As such, the present study was developed to explore the potential prognostic utility of a pyroptosis-related gene (PRG) signature in HNSCC.MethodsPRG expression patterns and the associated mutational landscape in HNSCC were analyzed, after which a 6-gene prognostic model was constructed through least absolute shrinkage and selection operator (LASSO) and Cox regression analyses using the TCGA dataset, followed by validation with two GEO datasets (GSE41643 and GSE65858). The relative expression of the genes in the prognostic model was assessed via RT-qPCR in tumor and paired adjacent normal tissue samples from a 32-patient cohort. Potential predictors of patient outcomes associated with this 6-gene model were identified through topological degree analyses of a protein–protein interaction network. Moreover, the prognostic value of NLRP3 as a predictor of HNSCC patient prognosis was established through immunohistochemical (IHC) analyses of samples from 176 HNSCC patients. Lastly, in vitro studies were performed to further demonstrate the relevance of NLRP3 in the context of HNSCC development.ResultsDifferentially expressed PRGs were able to readily differentiate between HNSCC tumors and normal tissues. Risk scores derived from the 6-gene PRG model were independent predictors of HNSCC patient prognosis, and genes that were differentially expressed between low- and high-risk groups were associated with tumor immunity. RT-qPCR assays also showed the potential protective role of NLRP3 in HNSCC patients. IHC analyses further supported the value of NLRP3 as a predictor of HNSCC patient outcomes. Invasion and migration assays demonstrated the potential role of NLRP3 in the inhibition of HNSCC development.ConclusionsOverall, these results highlight a novel prognostic gene signature that offers value in the context of HNSCC patient evaluation, although additional research will be essential to elucidate the mechanisms linking these PRGs to HNSCC outcomes.

【 授权许可】

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