ArticleOncology letters2015
Bioinformatics analysis of the target gene of fibroblast growth factor receptor 3 in bladder cancer and associated molecular mechanisms.
Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Development and Broad Application of a Double Drop-Off ddPCR Assay for Simultaneous Detection of FourCancers · 2026Article
- Ontologies and Knowledge Graphs in Oncology Research.Cancers · 2022Review
- Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence.BioMed research international · 2019Article
- Hepatic gene body hypermethylation is a shared epigenetic signature of murine longevity.PLoS genetics · 2018Article
- Cantharidin alters the expression of genes associated with the NKG2D-associated immune response in TSGH-8301 human bladder carcinoma cells.Oncology letters · 2017Article
- Overexpression of miR-100 inhibits cancer growth, migration, and chemosensitivity in human NSCLC cells through fibroblast growth factor receptor 3.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Computational identification of microRNAs associated to both epithelial to mesenchymal transition and NGAL/MMP-9 pathways in bladder cancer.Oncotarget · 2016Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the present study was to elucidate the molecular mechanisms of fibroblast growth factor receptor 3 (FGFR3) activation via overexpression or mutation of the FGFR3 target gene in bladder cancer (BC). The transcription profile data GSE41035, which included 18 BC samples, containing 3 independent FGFR3 short hairpin (sh)RNA, and 6 control samples, containing enhanced green fluorescent protein (EGFP) shRNA, were obtained from the National Center of Biotechnology Information Gene Expression Omnibus database. The Limma package with multiple testing correction was used to identify differentially expressed genes (DEGs) between FGFR3 knockdown and control samples. Gene ontology (GO) and pathway enrichment analysis were conducted in order to investigate the DEGs at the functional level. In addition, differential co-expression analysis was employed to construct a gene co-expression network. A total of 196 DEGs were acquired, of which 101 were downregulated and 95 were upregulated. In addition, a gene signature was identified linking FGFR3 signaling with
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Registered trials
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