ArticleFrontiers in genetics2025
Identification of characteristic genes in cutaneous squamous cell carcinoma based on weighted gene co-expression network analysis.
Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Identification and preliminary clinical validation of type 2 diabetes signature genes through machine learning analysis of scRNA-seq data.Frontiers in medicine · 2026Article
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5 authors.
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Abstract
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- 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.
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