2015
DOI: 10.3892/ol.2015.3472
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Genomic profiling screens small molecules of metastatic prostate carcinoma

Abstract: Abstract. The aim of the present study was to investigate the pathogenesis of metastatic prostate carcinoma, to find the metabolic pathways changed in the disease and to screen out the potential therapeutic drugs. GSE38241 was downloaded from Gene Expression Omnibus; the Geoquery package was applied to preprocessed expression profiling, and the differentially-expressed genes (DEGs) were selected with limma (linear regression model packages). Next, WikiPathways cluster analysis was performed for DEGs on a Gene … Show more

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Cited by 16 publications
(17 citation statements)
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References 41 publications
(35 reference statements)
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“…Importantly, our data show that its expression is strongly associated with pathological stages and Gleason scores in human PCa samples, indicating the pro-malignance role of this nuclear importer. In support of this observation, recent genomic profiling screening also demonstrated the importance of KPNA4 during the process of prostate carcinoma (50). …”
Section: Discussionmentioning
confidence: 67%
“…Importantly, our data show that its expression is strongly associated with pathological stages and Gleason scores in human PCa samples, indicating the pro-malignance role of this nuclear importer. In support of this observation, recent genomic profiling screening also demonstrated the importance of KPNA4 during the process of prostate carcinoma (50). …”
Section: Discussionmentioning
confidence: 67%
“…We used PARADIGM, a network modeling approach that integrates multiple data types to infer alterations in biological pathway activity that contribute to a specific phenotype or cell state [ 19 ]. PARADIGM inferred from the molecular profiling data an Integrated Pathway Level (IPL) score for each node in a reference pathway curated from Reactome, BioCarta, and NCI Nature pathway resources [ 37 ]. A key feature of PARADIGM is that the IPL for each node reflects both the input data (e.g., gene expression and copy number) as well as the scores of neighboring nodes.…”
Section: Resultsmentioning
confidence: 99%
“…Microarray analysis was performed by an Affymetrix GeneChip Hybridization Oven 640 and Gene Array Scanner 3000. Microarray data analysis was performed by the R software platform (v.2.13.0) and the limma (linear regression model) package (Ritchie et al, 2015; Xu and Sun, 2015). Detected global gene expressions at each time point following sciatic nerves transection were compared with the control group.…”
Section: Methodsmentioning
confidence: 99%