Background:Oral squamous cell carcinoma (OSCC) represents a prevalent malignancy in the oral and maxillofacial area, having a con-siderable negative impact on both the quality of life and overall survival of affected individuals. Our research endeavors to leverage bioinfor-matic approaches to elucidate oncogenic signaling pathways, with the ultimate goal of gaining deeper insights into the molecular underpin-nings of OSCC pathogenesis, and thus laying the groundwork for the development of more effective therapeutic and preventive strategies. Methods:Differential expression analysis was performed on mRNA data from tumor and normal tissue groups to identify genes asso-ciated with OSCC, using The Cancer Genome Atlas database. Predictions of oncogenic signaling pathways linked to differentially expressed mRNAs were made, and these results were presented visually using R software, using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichments. Results:GO and KEGG analyses of 2938 differentially expressed genes in OSCC highlighted their significant involvement in various bi-ological processes. Notably, these processes were related to the extracellular matrix, structural organization, connective tissue develop-ment, and cell cycle regulation. Conclusions:The comprehensive exploration of gene expression patterns provides valuable insights into potential oncogenic mecha-nisms in OSCC.
Xing Gao;Dan-Dan Liu;Jin-Zhong Liu;Rui Wang
Department of Prevention, Hospital of Stomatology, Jilin University,Changchun 130021, China
Oral squamous cell carcinoma;Oncogenic signaling pathway;Bioinformatics
《肿瘤学与转化医学(英文)》 2024 (002)
87-92 / 6
10.1097/ot9.0000000000000025
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