ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2012
A candidate molecular biomarker panel for the detection of bladder cancer.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
- Trial
- Multiplex protein signature for the detection of bladder cancer in voided urine samples.The Journal of urology · 2013Trial
- Clinical Validation of a Multiplex Urine Biomarker Assay for Surveillance of Recurrent Bladder Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Developing a prediction model in a large case-control study for the early detection of bladder cancer.Journal of translational medicine · 2025Article
- Performance of the Oncuria-Detect bladder cancer test for evaluating patients presenting with haematuria: results from a real-world clinical setting.Journal of translational medicine · 2025Article
- TMEM45A enhances palbociclib resistance and cellular glycolysis by activating AKT/mTOR signaling pathway in HR+ breast cancer.Cell death discovery · 2025Article
- Differentially expressed genes associated with high metabolic tumor volume served as diagnostic markers and potential therapeutic targets for pancreatic cancer.Journal of translational medicine · 2024Article
- Exploring Molecular Alterations in Breast Cancer Among Indian Women Using Label-Free Quantitative Serum Proteomics.Biochemistry research international · 2024Article
- Secretory SERPINE1 Expression Is Increased by Antiplatelet Therapy, Inducing MMP1 Expression and Increasing Colon Cancer Metastasis.International journal of molecular sciences · 2022Article
- A Diagnostic Gene Expression Signature for Bladder Cancer Can Stratify Cases into Prescribed Molecular Subtypes and Predict Outcome.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study.Cancer biomarkers : section A of Disease markers · 2022Article
- Identification of hub genes and pathways in bladder cancer using bioinformatics analysis.American journal of clinical and experimental urology · 2022Article
- Keratin 17 Is a Novel Cytologic Biomarker for Urothelial Carcinoma Diagnosis.American journal of clinical pathology · 2021Article
- Current Development and Application of Anaerobic Glycolytic Enzymes in Urothelial Cancer.International journal of molecular sciences · 2021Review
- Influencing Factors on the Oncuria™ Urinalysis Assay: An Experimental Model.Diagnostics (Basel, Switzerland) · 2021Article
- Diagnostic performance of Oncuria™, a urinalysis test for bladder cancer.Journal of translational medicine · 2021Article
- M2 Macrophage Co-Expression Factors Correlate With Immune Phenotype and Predict Prognosis of Bladder Cancer.Frontiers in oncology · 2021Article
- Analytical validation of ONCURIA™ a multiplex bead-based immunoassay for the non-invasive bladder cancer detection.Practical laboratory medicine · 2020Article
- Biomarkers in critical care nutrition.Critical care (London, England) · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundBladder cancer is among the five most common malignancies worldwide, and due to high rates of recurrence, one of the most prevalent. Improvements in noninvasive urine-based assays to detect bladder cancer would benefit both patients and health care systems. In this study, the goal was to identify urothelial cell transcriptomic signatures associated with bladder cancer.
methodsGene expression profiling (Affymetrix U133 Plus 2.0 arrays) was applied to exfoliated urothelia obtained from a cohort of 92 subjects with known bladder disease status. Computational analyses identified candidate biomarkers of bladder cancer and an optimal predictive model was derived. Selected targets from the profiling analyses were monitored in an independent cohort of 81 subjects using quantitative real-time PCR (RT-PCR).
resultsTranscriptome profiling data analysis identified 52 genes associated with bladder cancer (P ≤ 0.001) and gene models that optimally predicted class label were derived. RT-PCR analysis of 48 selected targets in an independent cohort identified a 14-gene diagnostic signature that predicted the presence of bladder cancer with high accuracy.
conclusionsExfoliated urothelia sampling provides a robust analyte for the evaluation of patients with suspected bladder cancer. The refinement and validation of the multigene urothelial cell signatures identified in this preliminary study may lead to accurate, noninvasive assays for the detection of bladder cancer. IMPACT: The development of an accurate, noninvasive bladder cancer detection assay would benefit both the patient and health care systems through better detection, monitoring, and control of disease.
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