Jaijam Suwanwela1, Thanaphum Osathanon2,3. 1. Department of Prosthodontics, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand. 2. Department of Anatomy, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand. 3. Craniofacial Genetics and Stem Cell Research Group, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand.
Abstract
AIMS: Advanced stage of oral squamous cell carcinoma (OSCC) exhibits different properties compared with the early stage for example an invasion ability. The present study investigated a differential gene expression of surgical margin between advanced and early stage of OSCC. METHODS: Gene Expression Omnibus dataset (GSE31056) was downloaded and re-analyzed. Surgical margin samples were categorized into 2 groups; early stage and late stage. Differential gene expression analysis was performed. Dysregulated genes were further analyzed for gene ontology, enriched pathway, and disease association using a network-based analysis tools. RESULTS: Eighty-five dysregulated genes were identified in margin of late stage OSCC. Metabolic process and biological regulation were the main gene ontology of dysregulated genes. Genes involved in Jak-STAT signaling pathway were upregulated in late stage of surgical margin samples. In addition, seven upregulated genes in late stage group, namely CEBPB, S1PR1, IL6, CEBPD, CHI3L1, PTX3, and SOCS3, were categorized in acute phase reaction and inflammation categories of disease association analysis. CONCLUSION: The differential expressed genes in surgical margin of late stage OSCC could be further employed to understand cancer's behavior and to identify target pathway to prevent OSCC invasion.
AIMS: Advanced stage of oral squamous cell carcinoma (OSCC) exhibits different properties compared with the early stage for example an invasion ability. The present study investigated a differential gene expression of surgical margin between advanced and early stage of OSCC. METHODS: Gene Expression Omnibus dataset (GSE31056) was downloaded and re-analyzed. Surgical margin samples were categorized into 2 groups; early stage and late stage. Differential gene expression analysis was performed. Dysregulated genes were further analyzed for gene ontology, enriched pathway, and disease association using a network-based analysis tools. RESULTS: Eighty-five dysregulated genes were identified in margin of late stage OSCC. Metabolic process and biological regulation were the main gene ontology of dysregulated genes. Genes involved in Jak-STAT signaling pathway were upregulated in late stage of surgical margin samples. In addition, seven upregulated genes in late stage group, namely CEBPB, S1PR1, IL6, CEBPD, CHI3L1, PTX3, and SOCS3, were categorized in acute phase reaction and inflammation categories of disease association analysis. CONCLUSION: The differential expressed genes in surgical margin of late stage OSCC could be further employed to understand cancer's behavior and to identify target pathway to prevent OSCC invasion.
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