ArticleOncology letters2021
Screening and identification of hub genes in bladder cancer by bioinformatics analysis and KIF11 is a potential prognostic biomarker.
Article in Oncology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 13 citations in OpenAlex.
- Kinesins in Cancer Drug Resistance: Mechanisms, Therapeutic Targeting, and Translational Potential.Cancers · 2026Review
- Machine learning-based determination of sex-related bladder cancer biomarkers.Frontiers in bioinformatics · 2026Article
- A competing TMPO-AS1-let-7b-5p-kinesin superfamily RNA network predicts poor lung cancer patient survival.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026Article
- Machine-learning-based determination of sex-related bladder cancer biomarkers.bioRxiv : the preprint server for biology · 2025Article
- A Bioinformatics Investigation of Hub Genes Involved in Treg Migration and Its Synergistic Effects, Using Immune Checkpoint Inhibitors for Immunotherapies.International journal of molecular sciences · 2024Article
- Mitotic Functions and Characters of KIF11 in Cancers.Biomolecules · 2024Review
- Eg5 and Diseases: From the Well-Known Role in Cancer to the Less-Known Activity in Noncancerous Pathological Conditions.Biochemistry research international · 2024Review
- Polygenic risk modeling of tumor stage and survival in bladder cancer.BioData mining · 2022Article
- Article
- Identification of hub genes associated with bladder cancer using bioinformatic analyses.Translational cancer research · 2022Article
- A Multiomics Profiling Based on Online Database Revealed Prognostic Biomarkers of BLCA.BioMed research international · 2022Article
- A pan-cancer analysis of the oncogenic role of Keratin 17 (Translational cancer research · 2021Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder cancer (BC) is the ninth most common lethal malignancy worldwide. Great efforts have been devoted to clarify the pathogenesis of BC, but the underlying molecular mechanisms remain unclear. To screen for the genes associated with the progression and carcinogenesis of BC, three datasets were obtained from the Gene Expression Omnibus. A total of 37 tumor and 16 non-cancerous samples were analyzed to identify differentially expressed genes (DEGs). Subsequently, 141 genes were identified, including 55 upregulated and 86 downregulated genes. The protein-protein interaction network was established using the Search Tool for Retrieval of Interacting Genes database. Hub gene identification and module analysis were performed using Cytoscape software. Hierarchical clustering of hub genes was conducted using the University of California, Santa Cruz Cancer Genomics Browser. Among the hub genes, kinesin family member 11 (KIF11) was identified as one of the most significant prognostic biomarkers among all the candidates. The Kaplan Meier Plotter database was used for survival analysis of KIF11. The expression profile of KIF11 was analyzed using the ONCOMINE database. The expression levels of KIF11 in BC samples and bladder cells were measured using reverse transcription-quantitative pCR, immunohistochemistry and western blotting. In summary, KIF11 was significantly upregulated in BC and might act as a potential prognostic biomarker. The present identification of DEGs and hub genes in BC may provide novel insight for investigating the molecular mechanisms of BC.
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