ArticleOncology letters2018
Identification of key genes associated with bladder cancer using gene expression profiles.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 17 citations in OpenAlex.
- E-ABIN: an explainable module for anomaly detection in biological networks.NAR genomics and bioinformatics · 2025Article
- DNA Methylome Changes of Muscle- and Neuronal-Related Processes Precede Bladder Cancer Invasiveness.Cancers · 2022Article
- A Review of DUSP26: Structure, Regulation and Relevance in Human Disease.International journal of molecular sciences · 2021Review
- Pioglitazone Alters the Proteomes of Normal Bladder Epithelial Cells but Shows No Tumorigenic Effects.International neurourology journal · 2020Article
- Identification of differentially expressed protein-coding genes in lung adenocarcinomas.Experimental and therapeutic medicine · 2020Article
- Identification of Key Biomarkers in Bladder Cancer: Evidence from a Bioinformatics Analysis.Diagnostics (Basel, Switzerland) · 2020Article
- Stemness Related Genes Revealed by Network Analysis Associated With Tumor Immune Microenvironment and the Clinical Outcome in Lung Adenocarcinoma.Frontiers in genetics · 2020Article
- Study of Gene Expression Profiles of Breast Cancers in Indian Women.Scientific reports · 2019Article
- Identification of prognosis markers for endometrial cancer by integrated analysis of DNA methylation and RNA-Seq data.Scientific reports · 2019Article
- Prognostic Genes of Breast Cancer Identified by Gene Co-expression Network Analysis.Frontiers in oncology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 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 further investigate the molecular mechanisms of bladder cancer. The microarray data GSE52519 were downloaded from Gene Expression Omnibus, comprising 9 bladder cancer and 3 normal bladder tissue samples. Differentially expressed genes (DEGs) were identified using Limma package analysis. Subsequently, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes and Reactome pathway enrichment analyses were performed for down- and upregulated DEGs. Transcription factors and genes associated with cancer from DEGs were identified. Protein-protein interaction (PPI) networks were constructed using STRING, and pathway enrichment analysis was also conducted for genes in the core sub-network that was identified using BioNet. In total, 420 downregulated and 335 upregulated DEGs were identified. Functional and pathway enrichment analyses identified that a number of DEGs, including
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.