ArticleDiabetes/metabolism research and reviews2022
Clinical features and predictive biomarkers for bladder cancer in patients with type 2 diabetes presenting with haematuria.
Article in Diabetes/metabolism research and reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Cytokeratin 8 as a Novel Therapeutic Target in Type 2 Diabetes Mellitus: Suppression of Hepatic Glycogen Synthesis via IRS1/PI3K/Akt/GSK3β Signaling.Current drug targets · 2026Article
- UBC4: A Repurposed Drug Regimen for Adjunctive Use During Bladder Cancer Treatment.Biomedicines · 2025Review
- Clinical features and predictive biomarkers for bladder cancer in patients with type 2 diabetes presenting with haematuria.Diabetes/metabolism research and reviews · 2022Article
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Authors and funding
18 authors at 6 institutions in 4 countries.
Funding
Abstract
aimsTo identify clinical features and protein biomarkers associated with bladder cancer (BC) in individuals with type 2 diabetes mellitus presenting with haematuria. MATERIALS AND
methodsData collected from the Haematuria Biomarker (HaBio) study was used in this analysis. A matched sub-cohort of patients with type 2 diabetes and patients without diabetes was created based on age, sex, and BC diagnosis, using approximately a 1:2 fixed ratio. Randox Biochip Array Technology and ELISA were applied for measurement of 66 candidate serum and urine protein biomarkers. Hazard ratios and 95% confidence intervals were estimated by chi-squared and Wilcoxon rank sum test for clinical features and candidate protein biomarkers. Diagnostic protein biomarker models were identified using Lasso-based binominal regression analysis.
resultsThere was no difference in BC grade, stage, and severity between individuals with type 2 diabetes and matched controls. Incidence of chronic kidney disease (CKD) was significantly higher in patients with type 2 diabetes (p = 0.008), and CKD was significantly associated with BC in patients with type 2 diabetes (p = 0.032). A biomarker model, incorporating two serum (monocyte chemoattractant protein 1 and vascular endothelial growth factor) and three urine (interleukin 6, cytokeratin 18, and cytokeratin 8) proteins, predicted incidence of BC with an Area Under the Curve (AUC) of 0.84 in individuals with type 2 diabetes. In people without diabetes, the AUC was 0.66.
conclusionsWe demonstrate the potential clinical utility of a biomarker panel, which includes proteins related to BC pathogenesis and type 2 diabetes, for monitoring risk of BC in patients with type 2 diabetes. Earlier urology referral of patients with type 2 diabetes will improve outcomes for these patients.
trial registrationhttp://www.isrctn.com/ISRCTN25823942.
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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 Socratic graph.