764: Differential Expression of RAL GTPases and their Effectors in Bladder Cancer

2007 ◽  
Vol 177 (4S) ◽  
pp. 256-256
Author(s):  
Steven Smith ◽  
Gary Oxford ◽  
Dan Theodorescu
2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 410-410
Author(s):  
Ryan Didde ◽  
Weiya Liu ◽  
Karim Pirani ◽  
Gaurav Kaushik ◽  
Benjamin L. Woolbright ◽  
...  

410 Background: Bladder cancer remains the fourth most common cancer in American males with a higher risk of recurrence and progression for patients with diabetes mellitus. Urothelial bladder cancer is characterized by aerobic glycolysis with upregulation of glycolytic enzymes (known as the Warburg effect) such as phosphoglycerate mutase. Phosphoglycerate mutase 2 (PGAM2), a reversible glycolytic enzyme expressed highly in muscle, represents a target for modulation because of its differential expression from another isoform, phosphoglycerate mutase 1. PGAM2 knockdown may impact bladder cancer growth significantly via its effect on glucose metabolism at different glucose concentrations seen in patients with diabetes mellitus. Methods: UM-UC3 bladder cancer cells were assessed for PGAM2 expression at different glucose concentrations via Western blot and quantitative PCR. One native UM-UC3 line, three PGAM2 knockdown lines, and one vector control cell line were included in the western blot study. Cellular proliferation was analyzed using an enzyme based hexoseaminidase assay and was further supported with an automated cell counter. The effects of cisplatin were also investigated. Results: Increased PGAM2 expression at increased glucose concentrations in UM-UC3 was confirmed by Western blot and quantitative PCR. PGAM2 knockdown cells responded differently to changes in glucose concentration compared to the control cell lines, with a large increase in growth at a low glucose level of 25mg/dL after day 4. Cell proliferation demonstrated similar growth between the knockdown and controls at higher glucose concentrations of 100 and 200mg/dL. Proliferation data using automated cell counter demonstrate the same growth trend. Conclusions: Increased cell growth of PGAM2 knockdowns, most notably at 25mg/dL, suggests that PGAM2 may play a different role in glycolysis than expected, possibly serving as a modulator in cell growth instead of a simple reversible enzyme. We are currently investigating its differential expression compared to PGAM1, an enzyme recently characterized to have an opposite effect to PGAM2.


2014 ◽  
Vol 191 (4S) ◽  
Author(s):  
John Shields ◽  
Miguel Gosalbez ◽  
Marie Hupe ◽  
Soum Lokeshwar ◽  
Travis Yates ◽  
...  

2007 ◽  
Vol 13 (13) ◽  
pp. 3803-3813 ◽  
Author(s):  
Steven Christopher Smith ◽  
Gary Oxford ◽  
Alexander S. Baras ◽  
Charles Owens ◽  
Dmytro Havaleshko ◽  
...  

2019 ◽  
Vol 18 (9) ◽  
pp. e3358
Author(s):  
C. Suvieri ◽  
R. Cagnani ◽  
V. Maulà ◽  
E. Sarti ◽  
A. Tiezzi ◽  
...  

BMC Urology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongjian Wu ◽  
Wubing Jiang ◽  
Guanghua Ji ◽  
Rong Xu ◽  
Gaobo Zhou ◽  
...  

Abstract Background Bladder cancer (BC) is the second most frequent malignancy of the urinary system. The aim of this study was to identify key microRNAs (miRNAs) and hub genes associated with BC as well as analyse their targeted relationships. Methods According to the microRNA dataset GSE112264 and gene microarray dataset GSE52519, differentially expressed microRNAs (DEMs) and differentially expressed genes (DEGs) were obtained using the R limma software package. The FunRich software database was used to predict the miRNA-targeted genes. The overlapping common genes (OCGs) between miRNA-targeted genes and DEGs were screened to construct the PPI network. Then, gene ontology (GO) analysis was performed through the “cluster Profiler” and “org.Hs.eg.db” R packages. The differential expression analysis and hierarchical clustering of these hub genes were analysed through the GEPIA and UCSC Cancer Genomics Browser databases, respectively. KEGG pathway enrichment analyses of hub genes were performed through gene set enrichment analysis (GSEA). Results A total of 12 DEMs and 10 hub genes were identified. Differential expression analysis of the hub genes using the GEPIA database was consistent with the results for the UCSC Cancer Genomics Browser database. The results indicated that these hub genes were oncogenes, but VCL, TPM2, and TPM1 were tumour suppressor genes. The GSEA also showed that hub genes were most enriched in those pathways that were closely associated with tumour proliferation and apoptosis. Conclusions In this study, we built a miRNA-mRNA regulatory targeted network, which explores an understanding of the pathogenesis of cancer development and provides key evidence for novel targeted treatments for BC.


Oncotarget ◽  
2017 ◽  
Vol 8 (29) ◽  
pp. 47595-47606 ◽  
Author(s):  
Sebastien Rinaldetti ◽  
Ralph Markus Wirtz ◽  
Thomas Stefan Worst ◽  
Markus Eckstein ◽  
Cleo Aaron Weiss ◽  
...  

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