ArticleThe Kaohsiung journal of medical sciences2015
Identification of genes associated with melanoma metastasis.
Article in The Kaohsiung journal of medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
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- An Oxidative Stress-Related Genes Signature for Predicting Survival in Bladder Cancer: Based on TCGA Database and Bioinformatics.International journal of general medicine · 2022Article
- SFPQ promotes an oncogenic transcriptomic state in melanoma.Oncogene · 2021Article
- Article
- Identified the novel resistant biomarkers for taxane-based therapy for triple-negative breast cancer.International journal of medical sciences · 2021Article
- Gene Expression Signature of BRAF Inhibitor Resistant Melanoma Spheroids.Pathology oncology research : POR · 2020Article
- Interaction of Deubiquitinase 2A-DUB/MYSM1 with DNA Repair and Replication Factors.International journal of molecular sciences · 2020Article
- Identification of Hub Prognosis-Associated Oxidative Stress Genes in Pancreatic Cancer Using Integrated Bioinformatics Analysis.Frontiers in genetics · 2020Article
- Identification of Key Genes and Circular RNAs in Human Gastric Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Genomic expression differences between cutaneous cells from red hair color individuals and black hair color individuals based on bioinformatic analysis.Oncotarget · 2017Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aims of the study were to identify the differentially expressed genes (DEGs) between primary melanomas and metastasis melanomas (MMs), and to investigate the mechanisms of MMs. The microarray data GSE8401 including 31 primary melanomas and 52 MMs were downloaded from Gene Expression Omnibus. DEGs were identified using the Linear Models for Microarray Data package. The functional and pathway enrichment analyses were performed for DEGs. Identification of transcription factors, tumor-associated genes (TAGs), and tumor suppressor genes (TSGs) were performed with the TRANSFAC, TAG, and TSGene databases, respectively. A protein-protein interaction network was constructed using Search Tool for the Retrieval of Interacting Genes. The modules construction and analysis was performed using Molecular Complex Detection and Gene Cluster with Literature Profiles, respectively. In total, 1004 upregulated and 1008 downregulated DEGs were identified. The upregulated DEGs, such as CDK1, BRCA1, MAD2L1, and PCNA, were significantly enriched in cell cycles, DNA replication, and mismatch repair. The downregulated DEGs, such as COLIAL, COL4A5, COL18A1, and LAMC2, were enriched in cell adhesion and extracellular matrix-receptor interaction. BRCA1 was identified as a transcription factor and TSG, and COL18A1 and LAMC2 were identified as a TSG and TAG, respectively. The upregulated DEGs had higher degrees in the protein-protein interaction network and module, such as PCNA, CDK1, and MAD2L1, and the heat map showed they were clustered in the functions of cell cycle and division. These results may demonstrate the potential roles of DEGs such as CDK1, BRCA1, COL18A1, and LAMC2 in the mechanism of MM.
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