ArticleGalen medical journal2018
Comparative Bioinformatics Characteristic of Bladder Cancer Stage 2 from Stage 4 Expression Profile: A Network-Based Study.
Article in Galen medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Investigating the Effects of Ibuprofen on the Gene Expression Profile in Hippocampus of Mice Model of Alzheimer's Disease through Bioinformatics Analysis.Iranian journal of pharmaceutical research : IJPR · 2020Article
- An Investigation of Post-radiation Gene Expression Profiles: A System Biology Study.Journal of lasers in medical sciences · 2020Article
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4 authors.
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Abstract
backgroundBladder cancer (BC) has remained as one of the most challenging issues in medicine. The aim of this study was to investigate the differential network analysis of stages 2 and 4 of BC to better understand the molecular pathology of these states. MATERIALS AND
methodsWe chose gene expression data of GSE52519 from Gene Expression Omnibus (GEO) database analyzed by the GEO2R online tool. Cytoscape version 3.6.1 and its algorithms are the methods applied for the network construction and investigation of differentially expressed genes (DEG) in these states.
resultOur result revealed that the analysis DEGs provides useful information about a common molecular feature of stages 2 and 4 of BC.
conclusionConsequently, the network finding revealed that more investigation about stage 2 is required to achieve an effective therapeutic protocol to block the transition from stage 2 to stage 4.
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