Xiao-Tian Liu1, Tian-Tian Liu1,2, Meng-Yuan Wu1, Qing-Xi Chen1, Jiang-Xing Zhuang3, Qin Wang1. 1. School of Life Science, Xiamen University, Xiamen, China. 2. Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China. 3. Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, China.
Abstract
Aims: We analyzed and compared the gene expression profiles (GSE92763) from normal melanocytes with malignant melanoma cell lines to identify genes that were differentially expressed that could serve as potential biomarkers for melanoma diagnosis. Materials and Methods: Gene expression profiles from the GSE92763 dataset were downloaded from the Gene Expression Omnibus (GEO) database. By comparing normal human melanocytes with multiple melanoma cell lines we identified 127 differentially expressed genes whose expression was altered. These data were used to identify hub genes associated with protein-protein interaction networks using Cytoscape software. To explore the biological functions of the aforementioned hub genes, we utilized the clusterProfiler package in R studio to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. We then used the Gene Expression Profiling Interactive Analysis (GEPIA) website to determine the association of these hub genes with overall survival (OS). In addition, we utilized the Oncomine and Cancer Cell Line Encyclopedia (CCLE) databases to further analyze and compare the expression of these key genes associated with melanoma with other tumor types. Results: The hub genes included three upregulated and seven downregulated genes, which were linked with extracellular junctions, migration, paracrine and proliferation functions based on GO. In addition, we performed a confirmatory analysis of the hub genes using The Cancer Genome Atlas (TCGA) database. This analysis revealed that the expression of the Fibulin 1 (FBLN1; gene ID: 2192) gene was significantly downregulated in melanomas, and that its expression level in melanoma patients was significantly associated with OS with high expressors having better OS (log-rank p = 0.0034, hazard ratio = 1.5, p = 0.0036). We further analyzed the expression of FBLN1 in melanoma using the TCGA and Oncomine databases, and confirmed that FBLN1 is expressed at lower levels than in other cells (p = 2.03E-15, t = -15.586). FBLN1 has extremely high DNA copy number and low messenger RNA expression in melanoma cell lines according to the CCLE analysis. Conclusion: These results suggest that FBLN1 expression may be utilized as a biomarker and essential prognostic factor for melanoma; as well as provide an important theoretical basis for the development of melanoma treatments.
Aims: We analyzed and compared the gene expression profiles (GSE92763) from normal melanocytes with malignant melanoma cell lines to identify genes that were differentially expressed that could serve as potential biomarkers for melanoma diagnosis. Materials and Methods: Gene expression profiles from the GSE92763 dataset were downloaded from the Gene Expression Omnibus (GEO) database. By comparing normal human melanocytes with multiple melanoma cell lines we identified 127 differentially expressed genes whose expression was altered. These data were used to identify hub genes associated with protein-protein interaction networks using Cytoscape software. To explore the biological functions of the aforementioned hub genes, we utilized the clusterProfiler package in R studio to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. We then used the Gene Expression Profiling Interactive Analysis (GEPIA) website to determine the association of these hub genes with overall survival (OS). In addition, we utilized the Oncomine and Cancer Cell Line Encyclopedia (CCLE) databases to further analyze and compare the expression of these key genes associated with melanoma with other tumor types. Results: The hub genes included three upregulated and seven downregulated genes, which were linked with extracellular junctions, migration, paracrine and proliferation functions based on GO. In addition, we performed a confirmatory analysis of the hub genes using The Cancer Genome Atlas (TCGA) database. This analysis revealed that the expression of the Fibulin 1 (FBLN1; gene ID: 2192) gene was significantly downregulated in melanomas, and that its expression level in melanoma patients was significantly associated with OS with high expressors having better OS (log-rank p = 0.0034, hazard ratio = 1.5, p = 0.0036). We further analyzed the expression of FBLN1 in melanoma using the TCGA and Oncomine databases, and confirmed that FBLN1 is expressed at lower levels than in other cells (p = 2.03E-15, t = -15.586). FBLN1 has extremely high DNA copy number and low messenger RNA expression in melanoma cell lines according to the CCLE analysis. Conclusion: These results suggest that FBLN1 expression may be utilized as a biomarker and essential prognostic factor for melanoma; as well as provide an important theoretical basis for the development of melanoma treatments.
Authors: Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker Journal: Genome Res Date: 2003-11 Impact factor: 9.043
Authors: Gang Liu; Marion A Cooley; Andrew G Jarnicki; Alan C-Y Hsu; Prema M Nair; Tatt Jhong Haw; Michael Fricker; Shaan L Gellatly; Richard Y Kim; Mark D Inman; Gavin Tjin; Peter A B Wark; Marjorie M Walker; Jay C Horvat; Brian G Oliver; W Scott Argraves; Darryl A Knight; Janette K Burgess; Philip M Hansbro Journal: JCI Insight Date: 2016-06-16
Authors: W O Twal; A Czirok; B Hegedus; C Knaak; M R Chintalapudi; H Okagawa; Y Sugi; W S Argraves Journal: J Cell Sci Date: 2001-12 Impact factor: 5.285