ReviewThe journal of liquid biopsy2025
Liquid Biopsy: Current advancements in clinical practice for bladder cancer.
Review in The journal of liquid biopsy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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
20 citing papers in PubMed.
- Diagnosis, evaluation, and management of patients with non-muscle invasive bladder cancer.Future science OA · 2026Review
- Multi-omics profiling identifies CDK1 as a key mediator of mitosis through the PTN pathway in bladder cancer.Future science OA · 2026Article
- Multi-dimensional profiling of lactylation-related signatures for prognostic and therapeutic insights in bladder cancer.Cancer cell international · 2026Article
- Exploring XDH expression as a prognostic marker for urothelial carcinoma.Discover oncology · 2026Article
- Liquid biopsy in the clinical management of tumor of urinary system: current status and future developments.Cellular oncology (Dordrecht, Netherlands) · 2026Review
- Unlocking the prognostic power of pathomics in bladder cancer: a machine learning odyssey across multiple centers.BMC medical imaging · 2026Article
- Machine Learning-Assisted FTIR Spectroscopy Analysis of Kidney Preservation Fluids for Delayed Graft Function Risk Stratification.Journal of clinical medicine · 2026Article
- A bibliometric study and visualization analysis of the current status and perspectives in upper tract urothelial carcinoma.Medicine · 2026Article
- Identification of RNA processing-related gene-based bladder cancer subtypes for prognosis and immune landscape assessment.Translational andrology and urology · 2026Article
- Cell-free RNA profiling uncovers non-canonical circulating D2 transcript elevation in Bladder Cancer plasma.The journal of liquid biopsy · 2026Article
- Toward Personalized Treatment of Urogenital Cancers: The Role of Patient-Derived Organoids.Oncology and therapy · 2026Review
- Small-nucleolar RNA host gene3 (SNHG3) and leukemia-associated non-coding IGF1R activator RNA 1 (LUNAR1) correlated with CRC patients' clinical features: a step-toward ncRNA-precision.Scientific reports · 2026Article
- Emerging Molecular and Computational Biomarkers in Urothelial Carcinoma: Innovations in Diagnosis, Prognosis, and Therapeutic Response Prediction.Journal of personalized medicine · 2026Review
- Liquid biopsy-guided kidney-sparing management in upper tract urothelial carcinoma: from preoperative risk stratification to perioperative surveillance.Frontiers in oncology · 2026Review
- Epigenomics-Guided Multi-Omics Integration Uncovers a Lipid-Metabolic Signature with Translational Utility in Bladder Cancer.Computational and structural biotechnology journal · 2026Article
- Integrated Proteogenomic Approach for Discovering Potential Biomarkers in Urothelial Carcinoma of the Bladder.Biomedicines · 2025Article
- Lipocalin 2 as a potential liquid biopsy marker for early detection of bladder cancer.Clinical and translational medicine · 2025Article
- XGBoost-based urinary microbial signatures enable non-invasive diagnosis and prognosis for urothelial carcinoma.BMC microbiology · 2025Article
- Decoding SIGLEC12 in Bladder Cancer: In Silico Profiling of Expression, Tumor-Immune Interactions, and Prognostic Impact.Medicina (Kaunas, Lithuania) · 2025Article
- Association Between Baseline Neutrophil-to-Lymphocyte Ratio and Short-Term Urinary Quality of Life During BCG Induction in Male Patients with Non-Muscle-Invasive Bladder Cancer: A Prospective Observational Study.Journal of clinical medicine · 2025Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder cancer is the ninth most common malignancy worldwide, with two clinically distinct forms: non-muscle-invasive disease, characterized by high recurrence and excellent long-term survival, and muscle-invasive disease, associated with poorer outcomes. Current surveillance-cystoscopy and urine cytology-offers high specificity but is invasive, costly, and insensitive to low-grade tumors, underscoring the need for reliable, non-invasive biomarkers. Liquid biopsy approaches in urine and blood have demonstrated promise for real-time assessment of tumor burden, molecular heterogeneity, and early recurrence. Circulating tumor DNA (ctDNA) assays detect tumor-derived genetic and epigenetic alterations, enabling dynamic monitoring of minimal residual disease and treatment response. Methylation-based tests and CpG-targeted sequencing in urine achieve high diagnostic accuracy, potentially reducing dependence on cystoscopy. Molecular classification of bladder tumors into luminal and basal subtypes has refined therapeutic strategies: FGFR inhibitors for luminal-papillary tumors, EGFR-targeted and chemotherapy approaches for basal/squamous cases, and immune-checkpoint inhibitors guided by immune-infiltration profiles. Integration of artificial intelligence with multi-omic liquid biopsy data further enhances predictive modeling for recurrence, treatment response, and minimal residual disease detection. Despite these advances, clinical implementation faces challenges including pre-analytical variability, lack of standardized assays, limited prospective validation, and unclear cost-effectiveness. Harmonized protocols, large multicenter trials, and health-economic evaluations are essential to translate liquid biopsy technologies into routine practice. Future integration with advanced imaging, tissue biopsy, and digital pathology-supported by multidisciplinary collaboration and formal guideline endorsement-holds the potential to personalize bladder cancer management, reduce invasive procedures, and improve patient outcomes.
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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.