When we examined detailed data on a prevalent occupational exposure associated with increased bladder cancer risk, straight metalworking fluids, we also observed statistically significant additive interaction for rs798766 (TMEM129-TACC3-FGFR3, P interaction = .02), with the interaction more apparent in patients with tumors positive for FGFR3 expression.All statistical tests were two-sided.
We further demonstrate that activating mutations in FGFR3 associated with both multiple myeloma and bladder cancer can modulate expression of genes that regulate NFκB signaling, and promote both NFκB transcriptional activity and cell adhesion in a manner dependent on TAK1 expression in both cancer cell types.
We discovered a positive feedback loop, in which the activation of p38 and AKT downstream from the altered FGFR3 upregulates <i>MYC</i> mRNA levels and stabilizes MYC protein, respectively, leading to the accumulation of MYC, which directly upregulates <i>FGFR3</i> expression by binding to active enhancers upstream from <i>FGFR3</i> Disruption of this FGFR3/MYC loop in bladder cancer cell lines by treatment with FGFR3, p38, AKT, or BET bromodomain inhibitors (JQ1) preventing <i>MYC</i> transcription decreased cell viability <i>in vitro</i> and tumor growth <i>in vivo</i> A relevance of this loop to human bladder tumors was supported by the positive correlation between <i>FGFR3</i> and <i>MYC</i> levels in tumors bearing <i>FGFR3</i> mutations, and the decrease in FGFR3 and MYC levels following anti-FGFR treatment in a PDX model bearing an <i>FGFR3</i> mutation.
We determined the frequency of FGFR3 mutations and P53 alterations in patients with pT1 bladder cancer and correlated these data to histopathological variables and clinical outcomes.
We carried out a meta-analysis of published findings for FGFR3 and TP53 mutations in bladder cancer (535 tumours, 6 publications) and additional unpublished data for 382 tumours.
We assessed the performance of associating a FGFR3 mutation assay and a DNA methylation analysis to improve bladder cancer detection and to predict disease recurrence of NMIBC patients.
This study indicates that the FGFR3 urine assay, which was originally developed to monitor bladder cancer, is also a useful tool for diagnosing upper urinary tract cancer in a real-life setting.
This is a comprehensive genomic characterization of 40 urothelial bladder carcinoma (UBC) cell lines including information on origin, mutation status of genes implicated in bladder cancer (FGFR3, PIK3CA, TP53, and RAS), copy number alterations assessed using high density SNP arrays, uniparental disomy (UPD) events, and gene expression.
These studies provide in vivo evidence demonstrating an oncogenic role of FGFR3 in bladder cancer and support antibody-based targeting of FGFR3 in hematologic and epithelial cancers driven by WT or mutant FGFR3.
The two most important developments are the identification of a mutation in the fibroblast growth factor receptor 3 gene in more than 50% of urothelial carcinomas and the discovery of cDNA profiles characteristic of different subsets of bladder cancer.
The recently initiated [Bladder Cancer Urine Marker Project (BLU-P) study www.blu-project.org] assesses the feasibility of a population-based screening for BC and at the same time evaluates a screening algorithm using next to hematuria testing, sensitive specific urine markers for BC (NMP22, FGFR3, MA analyses and MLPa) in an attempt to circumvent the high number of cystoscopies.
The present study examined the utility of fibroblast growth factor receptor 3 (<i>FGFR3</i>) mutation status and gene expression as a prognostic marker in primary pT1 bladder cancer (BC).
The phenotypic consequences of constitutive activation of FGFR3 in bladder cancer have not been elucidated and further studies are required to confirm the consequences of inhibiting receptor activity in urothelial cells.
The GSE41035 dataset downloaded from Gene Expression Omnibus was used to identify the differentially expressed genes (DEGs) between bladder cancer cell line RT112 with or without depletion of FGFR3, and gene ontology enrichment analysis was performed.