Fig. 5: Development and assessment of diagnostic model for bladder cancer.
From: Urinary extracellular vesicle N-glycomics identifies diagnostic glycosignatures for bladder cancer
a Characteristics of participants in the validation cohort 1, encompassing identified N-glycans number, sex, age, BMI, hematuria, urinary tract infection status, TNM staging, and histologic grading. b Characteristics of participants in the validation cohort 2, encompassing identified N-glycans number, sex, age, BMI, hematuria, urinary tract infection status, TNM staging, and histologic grading. c The receiver operating characteristic (ROC) curve evaluates the model’s capacity to distinguish between bladder cancer patients and healthy individuals. d EVGScores for each sample in BC (n = 47) and HC (n = 36) groups within the validation cohort 1, showcasing the model’s discriminatory capacity. P-value was derived from Wilcoxon rank-sum test (two-sided). The boxplots denote the minimum values, 25th percentiles, medians, 75th percentiles, and maximum values, respectively from bottom to top. e Same as (d) but for validation cohort 2 (BC: n = 29, HC: n = 30). Source data are provided as a Source Data file.
