ArticleFrontiers in genetics2019
Identification of Hub Genes Associated With Progression and Prognosis in Patients With Bladder Cancer.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Genome-wide characterization of the Eceriferum (CER) gene family in barley (Hordeum vulgare L.).Scientific reports · 2025Article
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- Integrative multi-omics analysis for identifying novel therapeutic targets and predicting immunotherapy efficacy in lung adenocarcinoma.Cancer drug resistance (Alhambra, Calif.) · 2025Article
- Unravelling Phyto-Compound Therapeutics Against Colorectal Cancer: Targeting SRC proto-oncogene via Fibroblast Growth Factor Signalling Pathway -A Comprehensive Approach Integrating Omics Data Analysis, Network Pharmacology, Virtual Screening, and Molecular Dynamics.Recent advances in food, nutrition & agriculture · 2025Article
- Cross-species conserved miRNA as biomarker of radiation injury over a wide dose range using nonhuman primate model.PloS one · 2024Article
- Identification of Potential Key Genes Linked to Gender Differences in Bladder Cancer Based on Gene Expression Omnibus (GEO) Database.Advanced biomedical research · 2023Article
- Identifying potential biomarkers for non-obstructive azoospermia using WGCNA and machine learning algorithms.Frontiers in endocrinology · 2023Article
- Six potential biomarkers for bladder cancer: key proteins in cell-cycle division and apoptosis pathways.Journal of the Egyptian National Cancer Institute · 2022Article
- Integrative Pan-Cancer Analysis of KIF15 Reveals Its Diagnosis and Prognosis Value in Nasopharyngeal Carcinoma.Frontiers in oncology · 2022Article
- Cell-specific gene association network construction from single-cell RNA sequence.Cell cycle (Georgetown, Tex.) · 2021Article
- Identification ofCell journal · 2021Article
- Article
- Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.BMC cancer · 2021Article
- Construction of a long noncoding RNA-based competing endogenous RNA network and prognostic signatures of left- and right-side colon cancer.Cancer cell international · 2021Article
- The New Paradigm of Network Medicine to Analyze Breast Cancer Phenotypes.International journal of molecular sciences · 2020Article
- Identification and Validation of an Individualized Prognostic Signature of Bladder Cancer Based on Seven Immune Related Genes.Frontiers in genetics · 2020Article
- ZNF367-induced transcriptional activation of KIF15 accelerates the progression of breast cancer.International journal of biological sciences · 2020Article
- Comprehensive Analysis of Competitive Endogenous RNAs Network, Being Associated With Esophageal Squamous Cell Carcinoma and Its Emerging Role in Head and Neck Squamous Cell Carcinoma.Frontiers in oncology · 2019Article
- Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence.BioMed research international · 2019Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given that most bladder cancers (BCs) are diagnosed in advanced stages with poor prognosis, this study aims to find novel biomarkers associated with the progression and prognosis in patients with BC. 1,779 differentially expressed genes (DEGs) between BC samples and normal bladder tissues were identified in total. Then, 24 DEGs were regarded as candidate hub genes by constructing a protein-protein interaction (PPI) network and a random forest model. Among them, six genes (BUB1B, CCNB1, CDK1, ISG15, KIF15, and RAD54L) were eventually identified by using five analysis methods (one-way Analysis of Variance analysis, spearman correlation analysis, distance correlation analysis, receiver operating characteristic curve, and expression values comparison), which were correlated with the progression and prognosis of BC. Moreover, the validation of hub genes was conducted based on GSE13507, Oncomine, and CBioPortal. Results of univariate Cox regression analysis showed that the expression levels of all the hub genes were influence features of overall survival (OS) and cancer specific survival (CSS) based on GSE13507, and we further established a six-gene signature based on the expression levels of the six genes and their Cox regression coefficients. This signature showed good potential for clinical application suggested by survival analysis (OS: Hazard Ratio = 0.484, 95%CI: 0.298-0.786;
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