Unknown

Dataset Information

Clinical features and predictive biomarkers for bladder cancer in patients with type 2 diabetes presenting with haematuria.


ABSTRACT:

Aims

To identify clinical features and protein biomarkers associated with bladder cancer (BC) in individuals with type 2 diabetes mellitus presenting with haematuria.

Materials and methods

Data 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 L

SUBMITTER: Tonry CL 

PROVIDER: S-EPMC9542076 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature