Identification of Potential Gene in Laryngeal Squamous Cell Carcinoma using Bioinformatics Analysis

##plugins.themes.bootstrap3.article.sidebar##

asdasd
PDF
Published May 31, 2025
DOI https://doi.org/10.52845/CS/2025-5-3-51

##plugins.themes.bootstrap3.article.main##

Yue Zhang
Dalian University of Technology.Department of Otorhinolaryngology Head and Neck Surgery, Dalian Municipal Central Hospital ,826 Xinan Road, Dalian, Liaoning,116033, China
Donghui Zeng
Dalian University of Technology.Department of Otorhinolaryngology Head and Neck Surgery, Dalian Municipal Central Hospital ,826 Xinan Road, Dalian, Liaoning,116033, China
Delong Liu
Dalian University of Technology.Department of Otorhinolaryngology Head and Neck Surgery, Dalian Municipal Central Hospital ,826 Xinan Road, Dalian, Liaoning,116033, China
Yahui Wang
School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China
Weiqiang Wang
School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China
Jingjing Zhang
Dalian University of Technology.Department of Otorhinolaryngology Head and Neck Surgery, Dalian Municipal Central Hospital ,826 Xinan Road, Dalian, Liaoning,116033, China

Abstract

Background: The current treatment results of laryngeal squamous cell carcinoma （LSCC）still remain poor. Lacking molecular targets, radiotherapy and chordectomy are the main treatment for LSCC patients. It is urgent to identify novel diagnostic and prognostic biomarkers for LSCC.The present study aimed to investigate the differentially expressed genes (DEGs) between LSCC samples and normal laryngeal tissue samples, and identify potential core genes associated with the pathogenesis and prognosis of LSCC.


Materials and Methods: To explore potential therapeutic targets for LSCC, we analyzed three microarray datasets (GSE51985, GSE58911, and GSE59102) derived from the Gene Expression Omnibus (GEO) database. The GEO2R tool was used to screen out DEGs between LSCC and normal tissue. Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the Database for Annotation, Visualization and Integrated Discovery to identify the pathways and functional annotation of DEGs. Protein–protein interaction (PPI) of these DEGs was analyzed based on the Search Tool for the Retrieval of Interacting Genes database and visualized by Cystoscope software. In addition, we used Texas Cotton Ginners' Association（TCGA）database to express difference analysis of potential hub genes between laryngeal tumor tissues and normal tissues,and the online Kaplan–Meier plotter survival analysis tool to evaluate the prognostic value of hub genes expression in LSCC patients.


Results: A total of 44 upregulated DEGs and 60 downregulated DEGs were identified. Among them, ten hub genes with a high degree of connectivity were picked out. Overexpression of these hub genes was associated with unfavorable prognosis of laryngeal cancer.Especially, CXCL12 overexpression was observed and indicated poor outcome of LSCC.


Conclusion: Our study suggests that CXCL12 was overexpressed in LSCC compared with normal laryngeal tissue, and overexpression of CXCL12 was an unfavorable prognostic factor of LSCC patients. Further study is needed to explore the value of CXCL12 in the treatment of LSCC.


Keywords: laryngeal squamous cell carcinoma, hub genes, CXCL12, bioinformatics analysis

Downloads

Download data is not yet available.

##plugins.themes.bootstrap3.article.details##

Issue
Vol. 5 No. 3 (2025): Current Science
Section
Medical Research-Current Science