Wu Donglei, Fan Wanting, Zhang Zheng, Tang Jianming, Zhang Chenping, Chen Weixuan, Qin Nianhong, Zheng Yuyan
Department of Stomatology, Shenzhen People's Hospital, Shenzhen, China.
Department of Anesthesia, The First Affiliate Hospital of Guangzhou Medical University, Guangzhou, China.
J Oncol. 2022 Nov 22;2022:1434565. doi: 10.1155/2022/1434565. eCollection 2022.
Pyroptosis is associated with the biological behavior of the tumor and with tumor immunity. We investigated the effect of pyroptosis on the tumor microenvironment and tumor immunity in head and neck squamous cell carcinoma (HNSCC). RNA sequencing data and clinical information of HNSCC were downloaded from TCGA. Differentially expressed pyroptosis-related genes in HNSCC were identified between HNSCC and normal tissue. Pyroptosis-related classification of HNSCC was conducted based on consensus clustering analysis. LASSO-Cox regression analysis was used to construct a prognostic risk model-based pyroptosis-related gene. Evaluation of the immune microenvironment was conducted in prognostic risk signature based on pyroptosis-related genes. Total 22 differentially expressed pyroptosis-related genes were identified in HNSCC. Six prognostic-related genes were included to construct a LASSO regression model with a prognostic risk score = (0.133 ∗ GSDME (DFNA5) + 0.084 ∗ NOD1 + 0.039 ∗ IL6 + 0.003 ∗ IL1B + 0.084 ∗ CASP3 + 0.028 ∗ NLRP2). Higher fraction of resting memory CD4+ T cells and macrophages M1 was infiltrated in the high-risk group compared with the low-risk group in HNSCC. Furthermore, the PI3K-Akt signaling pathway and the IL-17 signaling pathways were identified to be involved in the development of high-risk HNSCC. Our study constructed a prognostic risk signature based on pyroptosis-related genes, which emphasizes the critical importance of pyroptosis in HNSCC and provided a novel perspective of HNSCC therapy.
细胞焦亡与肿瘤的生物学行为及肿瘤免疫相关。我们研究了细胞焦亡对头颈部鳞状细胞癌（HNSCC）肿瘤微环境和肿瘤免疫的影响。从TCGA下载了HNSCC的RNA测序数据和临床信息。在HNSCC与正常组织之间鉴定出HNSCC中差异表达的细胞焦亡相关基因。基于共识聚类分析对HNSCC进行细胞焦亡相关分类。使用LASSO - Cox回归分析构建基于细胞焦亡相关基因的预后风险模型。基于细胞焦亡相关基因在预后风险特征中评估免疫微环境。在HNSCC中总共鉴定出22个差异表达的细胞焦亡相关基因。纳入6个预后相关基因构建LASSO回归模型，预后风险评分 =（0.133 ∗ GSDME（DFNA5）+ 0.084 ∗ NOD1 + 0.039 ∗ IL6 + 0.003 ∗ IL1B + 0.084 ∗ CASP3 + 0.028 ∗ NLRP2）。与HNSCC低风险组相比，高风险组中静息记忆CD4 + T细胞和M1巨噬细胞的浸润比例更高。此外，PI3K - Akt信号通路和IL - 17信号通路被确定参与高风险HNSCC的发生发展。我们的研究构建了基于细胞焦亡相关基因的预后风险特征，强调了细胞焦亡在HNSCC中的关键重要性，并为HNSCC治疗提供了新的视角。
