Wang Jinhang, Cui Zifeng, Hei Naiheng, Yang Qian, Peng Shixiong
Department of Stomatology, The Second Hospital of Shijiazhuang, Huaxi Road 53, Shijiazhuang, 050051, Hebei, China.
Department of Stomatology, The Fourth Hospital of Hebei Medical University, Jiankang Road 12, Shijiazhuang, 050000, Hebei, China.
Appl Biochem Biotechnol. 2025 Feb;197(2):1258-1279. doi: 10.1007/s12010-024-05097-w. Epub 2024 Nov 20.
Head and neck squamous cell carcinoma (HNSCC) is a common malignant tumor occurring in various sites such as the oral cavity, pharynx, larynx, and nasal cavity. This study aimed to explore the biological functions and prognostic value of E2F transcription factor 1 (E2F1) in HNSCC. Transcriptome and single-cell sequencing (scRNA-seq) data of HNSCC patients were analyzed using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). All samples were divided into high and low expression groups based on the expression levels of E2F1. A risk model was constructed based on Lasso-Cox regression, and the differences between the two groups in terms of prognosis were explored. The scRNA-seq data of HNSCC samples were analyzed using the Seurat package to identify cell types. AUCell was used to score different types of cells, and subsequently, the interaction pathways between the high-scoring cell population and other cell populations were explored using the CellChat package. The expression level of E2F1 in tumor tissues was higher than that in normal tissues, which was confirmed by in vitro experiments. Analysis of transcriptome data from TCGA revealed significant differences in overall survival (OS) between the high and low expression groups. Prognostic genes were selected based on DEGs between the two groups, and a risk model was constructed. Subsequently, a nomogram model was constructed based on clinical factors and risk scores, which exhibited good predictive performance. The expression landscape of prognostic genes in different cell types was explored using scRNA-seq data of HNSCC samples. Dendritic cell populations were identified as high-scoring cell populations, and the pathways of interaction between this cell population and other cell populations were explored. We identified E2F1 as an independent prognostic factor closely associated with the prognosis and immune response of HNSCC.
头颈部鳞状细胞癌（HNSCC）是一种常见的恶性肿瘤，发生于口腔、咽、喉和鼻腔等多个部位。本研究旨在探讨E2F转录因子1（E2F1）在HNSCC中的生物学功能和预后价值。利用来自癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）的数据，分析了HNSCC患者的转录组和单细胞测序（scRNA-seq）数据。根据E2F1的表达水平将所有样本分为高表达组和低表达组。基于套索-考克斯回归构建风险模型，并探讨两组之间的预后差异。使用Seurat软件包分析HNSCC样本的scRNA-seq数据，以识别细胞类型。使用AUCell对不同类型的细胞进行评分，随后，使用CellChat软件包探索高分细胞群体与其他细胞群体之间的相互作用途径。肿瘤组织中E2F1的表达水平高于正常组织，体外实验证实了这一点。对TCGA转录组数据的分析显示，高表达组和低表达组之间的总生存期（OS）存在显著差异。根据两组之间的差异表达基因（DEG）选择预后基因，并构建风险模型。随后，基于临床因素和风险评分构建列线图模型，该模型具有良好的预测性能。利用HNSCC样本的scRNA-seq数据探索不同细胞类型中预后基因的表达图谱。树突状细胞群体被确定为高分细胞群体，并探索了该细胞群体与其他细胞群体之间的相互作用途径。我们确定E2F1是一个与HNSCC的预后和免疫反应密切相关的独立预后因素。
