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Analysis of differentially expressed genes during cetuximab treatment of head and neck squamous cell carcinoma using bioinformaticsYU Kena1, SUN Kaiyue2, ZHANG Jie1, JIN Peng1 1. Department of Otorhinolaryngology & Head and Neck Surgery, The Second Hospital of Shandong University, Jinan 250033, Shandong, China; 2. Shandong Provincial Otorhinolaryngology Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250022, Shandong, ChinaAbstract:
ObjectiveThe aim of this study was to provide new perspectives and targets for the treatment of HNSCC by screening differentially expressed genes during cetuximab treatment of head and neck squamous cell carcinoma(HNSCC)using bioinformatics. MethodsThe chip dataset, GSE109756, was downloaded from the GEO database, and the online analysis tool, GEO2R, was used to screen differentially expressed genes in head and neck squamous cell carcinoma tissues treated with and without cetuximab. The DAVID 6.8 and STRING online software were used to analyze the function of the differentially expressed genes, their pathway enrichment, and their protein interactions. Cytoscape was used to visualize and analyze the protein interactions. The online analysis tool, X2K, was used to find the transcription factors, the kinases of differentially expressed genes, and their mutual regulatory relationship with the targeted genes. ResultsNinety-one differentially expressed genes, including 50 up-regulated and 41 down-regulated genes(P<0.05; | logFC | > 1), were found in head and neck squamous cell carcinoma tissues treated with and without cetuximab. The GO and KEGG pathway analyses suggested that these differentially expressed genes were mainly enriched with immunomodulation, extracellular matrix, and other processes. Through the construction of a protein-protein interaction network, we screened CD163, VSIG4, and 3 other core differentially expressed genes(P<0.05), which were up-regulated after cetuximab treatment. In addition, our analysis shows that transcription factors, including SUZ12, TP63, and ESR1, played a key role in cetuximab treatment(P<0.05)and MAPK14, CDK1, and MAPK1 were the most important kinases during the process(P<0.05). ConclusionCD163, VSIG4, and the aforementioned transcription factors and protein kinases may be involved in the biological processes that underlie cetuximab treatment of HNSCC. This study provides new perspectives to facilitate further understanding of the biological mechanism that underlies cetuximab treatment of HNSCC and the exploration of the effectiveness of HNSCC treatment.
Journal of Otolaryngology and Ophthalmology of Shandong University
2020, 34 (4):
117-124.
DOI: 10.6040/j.issn.1673-3770.0.2020.189
Objective The aim of this study was to provide new perspectives and targets for the treatment of HNSCC by screening differentially expressed genes during cetuximab treatment of head and neck squamous cell carcinoma(HNSCC)using bioinformatics. Methods The chip dataset, GSE109756, was downloaded from the GEO database, and the online analysis tool, GEO2R, was used to screen differentially expressed genes in head and neck squamous cell carcinoma tissues treated with and without cetuximab. The DAVID 6.8 and STRING online software were used to analyze the function of the differentially expressed genes, their pathway enrichment, and their protein interactions. Cytoscape was used to visualize and analyze the protein interactions. The online analysis tool, X2K, was used to find the transcription factors, the kinases of differentially expressed genes, and their mutual regulatory relationship with the targeted genes. Results Ninety-one differentially expressed genes, including 50 up-regulated and 41 down-regulated genes(P<0.05; | logFC | > 1), were found in head and neck squamous cell carcinoma tissues treated with and without cetuximab. The GO and KEGG pathway analyses suggested that these differentially expressed genes were mainly enriched with immunomodulation, extracellular matrix, and other processes. Through the construction of a protein-protein interaction network, we screened CD163, VSIG4, and 3 other core differentially expressed genes(P<0.05), which were up-regulated after cetuximab treatment. In addition, our analysis shows that transcription factors, including SUZ12, TP63, and ESR1, played a key role in cetuximab treatment(P<0.05)and MAPK14, CDK1, and MAPK1 were the most important kinases during the process(P<0.05). Conclusion CD163, VSIG4, and the aforementioned transcription factors and protein kinases may be involved in the biological processes that underlie cetuximab treatment of HNSCC. This study provides new perspectives to facilitate further understanding of the biological mechanism that underlies cetuximab treatment of HNSCC and the exploration of the effectiveness of HNSCC treatment.
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