基于加权基因共表达网络分析的皮肤鳞状细胞癌特征基因鉴定
Identification of characteristic genes in cutaneous squamous cell carcinoma based on weighted gene co-expression network analysis.
作者信息
Xiao Qipeng, Xu Pengfei, Xu Wenjun, Song Qiuhe, Mao Yousheng
机构信息
Department of Dermatology, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi, China.
College of Nursing, Jiujiang Vocational University, Jiujiang, Jiangxi, China.
出版信息
Front Genet. 2025 Apr 14;16:1470584. doi: 10.3389/fgene.2025.1470584. eCollection 2025.
OBJECTIVE
This study aims to identify characteristic genes associated with cutaneous squamous cell carcinoma (cSCC).
METHODS
Differentially expressed genes (DEGs) and hub genes in key module were identified using the limma package and weighted gene co-expression network analysis (WGCNA) in R software, respectively. The intersection of these genes was then subjected to LASSO regression to pinpoint characteristic genes. The correlation between immune cell infiltration and these characteristic genes was further elucidated using single-sample Gene Set Enrichment Analysis and Spearman correlation analysis.
RESULTS
A total of 113 DEGs were identified, along with their associated biological pathways. From this pool, five characteristic genes-, , , and -were selected and validated. Immune infiltration analysis revealed significant correlations between these genes and various immune cell types, particularly with , , and .
CONCLUSION
The identification of characteristic genes for cSCC provides valuable insights into its molecular mechanisms. The correlations between these genes and immune cell infiltration suggests their potential roles in tumor immunity.
目的
本研究旨在鉴定与皮肤鳞状细胞癌（cSCC）相关的特征基因。
方法
分别使用R软件中的limma软件包和加权基因共表达网络分析（WGCNA）来鉴定关键模块中的差异表达基因（DEGs）和枢纽基因。然后对这些基因的交集进行LASSO回归以确定特征基因。使用单样本基因集富集分析和Spearman相关性分析进一步阐明免疫细胞浸润与这些特征基因之间的相关性。
结果
共鉴定出113个DEGs及其相关的生物学途径。从这些基因中选择并验证了5个特征基因—— 、 、 、 和 。免疫浸润分析显示这些基因与多种免疫细胞类型之间存在显著相关性，特别是与 、 、 和 。
结论
cSCC特征基因的鉴定为其分子机制提供了有价值的见解。这些基因与免疫细胞浸润之间的相关性表明它们在肿瘤免疫中的潜在作用。
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