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BACKGROUND Dynactin (DCTN) is a multi-subunit protein encoded by DCTN genes for 6 subunits. In different diseases the DCTN genes may have different roles; therefore, we investigated the prognostic potential of DCTN mRNA expression in cutaneous melanoma (CM). MATERIAL AND METHODS Data for DCTN mRNA expression in CM patients were obtained from the OncoLnc database, which contains updated gene expression data for 459 CM patients based on the Cancer Genome Atlas. Kaplan-Meier analysis and a Cox regression model were used to determine overall survival (OS) with calculation of hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS The multivariate survival analysis showed that individually low expression of DCTN1, DCTN2, and DCTN5 and high expression of DCTN6 were associated with favorable OS (adjusted P=0.008, HR=0.676, 95% CI=0.506-0.903; adjusted P=0.004, HR=0.648, 95% CI=0.485-0.867; adjusted P=0.011, HR=0.686, 95% CI=0.514-0.916; and adjusted P=0.018, HR=0.706, 95% CI=0.530-0.942, respectively). In a joint-effects analysis, combinations of low expression of DCTN1, DCTN2, and DCTN5 and high expression of DCTN6 were found to be more highly correlated with favorable OS (all P<0.05). CONCLUSIONS Our findings suggest that downregulated DCTN1, DCTN2, and DCTN5 and upregulated DCTN6 mRNA expression in CM are associated with favorable prognosis and may represent potential prognostic biomarkers. Moreover, use of the 4 genes in combination can improve the sensitivity for predicting OS in CM patients.
Pubmed ID: 29864111
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Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
View all literature mentionsBioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis.
View all literature mentionsIntegrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
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