Animal model and bioinformatics analyses suggest the TIMP1/MMP9 axis as a potential biomarker in oral squamous cell carcinoma
| Autor: | Guoqiang Xu, Jianing Wei, Jiping Gao, Lanfei Xiao, Guohua Song, Ruijing Xuan, Bing Huangfu, Zhao-yang Chen, Xiaotang Wang |
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| Rok vydání: | 2020 |
| Předmět: |
Male
0301 basic medicine Cancer Research Candidate gene Apoptosis MMP9 Biology Metastasis Mice 03 medical and health sciences Cricetulus 0302 clinical medicine Piperidines Cricetinae Biomarkers Tumor Tumor Cells Cultured medicine Animals Humans KEGG Molecular Biology Gene Cell Proliferation Anthracenes Tissue Inhibitor of Metalloproteinase-1 Computational Biology Cancer Cell migration Prognosis medicine.disease Gene Expression Regulation Neoplastic Gene expression profiling Disease Models Animal 030104 developmental biology Matrix Metalloproteinase 9 030220 oncology & carcinogenesis Carcinoma Squamous Cell Cancer research Mouth Neoplasms |
| Zdroj: | Molecular Carcinogenesis. 59:1302-1316 |
| ISSN: | 1098-2744 0899-1987 |
| Popis: | Oral squamous cell carcinoma (OSCC) is a common malignant tumor of the head and neck. However, the molecular mechanism underlying its development and progression is yet unclear. Genes that are differentially expressed, that is, differentially expressed genes (DEGs), between normal and diseased tissues are believed to be involved in disease development and progression. To identify the DEGs in OSCC and explore their role in occurrence and progression, we established a Chinese hamster OSCC model, determined the DEG, screened the identified DEGs, and performed Gene Ontology (GO) and KEGG enrichment analyses. A protein-protein interaction (PPI) network was generated to screen potential candidate genes. We then analyzed the expression, tumor stage and prognosis of candidate genes using the Gene Expression Profiling Interactive Analysis (GEPIA) database. Finally, we verified the candidate DEGs by quantitative real-time PCR and Gene Expression Omnibus analysis. The results showed 194 significantly DEGs, 140 enriched GO terms, and 8 KEGG pathways, which suggested that OSCC was closely related to the immune system, cell migration, and extracellular matrix. GEPIA and PPI network analysis revealed that SPP1, TNC, and ACTA1 were significantly related to tumor staging; SPP1, tissue inhibitors of matrix metallopeptidases (MMPs) 1 (TIMP1), and ACTA1 were closely related to prognosis. The scores for the top five highest degree genes were close, and the TIMP1/MMP9 axis appeared to be at the center of the PPI network, indicating that expression changes in the TIMP1/MMP9 axis and related genes may be involved in tumor invasion and metastasis. These findings provide novel insights into the mechanism of oral cancer. |
| Databáze: | OpenAIRE |
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