ArticleBioMed research international2020
Screening and Identification of Key Biomarkers for Bladder Cancer: A Study Based on TCGA and GEO Data.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed, 51 citations in OpenAlex.
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- Bioinformatics combined with network pharmacology and experimental validation to identify key biomarkers of hepatocellular carcinoma and corresponding compounds in Radix Astragali and Pueraria Mirifica.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
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- Prospects for the Protective Mechanisms and Compounds of Bufei Huoxue Capsule against COVID-19 Convalescence: Evaluation of Integrating UHPLC-HRMS Analysis and Network Pharmacology Strategy.Combinatorial chemistry & high throughput screening · 2025Article
- SurfR: Riding the wave of RNA-seq data with a comprehensive bioconductor package to identify surface protein-coding genes.Bioinformatics advances · 2025Article
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- CCNB1 is involved in bladder cancer pathogenesis and silencing CCNB1 decelerates tumor growth and improves prognosis of bladder cancer.Experimental and therapeutic medicine · 2023Article
- BICC1 drives pancreatic cancer progression by inducing VEGF-independent angiogenesis.Signal transduction and targeted therapy · 2023Article
- Activation of assembly factor for spindle microtubules triggers progression of renal cell carcinoma via Wnt3a pathway.Journal of Cancer · 2023Article
- ScreeningFrontiers in genetics · 2023Article
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- Analysis of prognostic oncogene filaggrin (Translational andrology and urology · 2022Article
- Integrated Transcriptome Profiling Identifies Prognostic Hub Genes as Therapeutic Targets of Glioblastoma: Evidenced by Bioinformatics Analysis.ACS omega · 2022Article
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Corrections and comments
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder cancer (BLCA) is a common malignant cancer, and it is the most common genitourinary cancer in the world. The recurrence rate is the highest of all cancers, and the treatment of BLCA has only slightly improved over the past 30 years. Genetic and environmental factors play an important role in the development and progression of BLCA. However, the mechanism of cancer development remains to be proven. Therefore, the identification of potential oncogenes is urgent for developing new therapeutic directions and designing novel biomarkers for the diagnosis and prognosis of BLCA. Based on this need, we screened overlapping differentially expressed genes (DEG) from the GSE7476, GSE13507, and TCGA BLCA datasets. To identify the central genes from these DEGs, we performed a protein-protein interaction network analysis. To investigate the role of DEGs and the underlying mechanisms in BLCA, we performed Gene Ontology (GO) and Kyoto Gene and Genomic Encyclopedia (KEGG) analysis; we identified the hub genes via different evaluation methods in cytoHubba and then selected the target genes by performing survival analysis. Finally, the relationship between these target genes and tumour immunity was analysed to explore the roles of these genes. In summary, our current studies indicate that both cell division cycle 20 (CDC20) and abnormal spindle microtubule assembly (ASPM) genes are potential prognostic biomarkers for BLCA. It may also be a potential immunotherapeutic target with future clinical significance.
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