Evidence map›Paper›PMID 39263348›Full record

ArticleEuropean urology open science2024

Urinary Free Glycosaminoglycans Identify Adults at High Risk of Developing Early-stage High-grade Bladder Cancer.

Francesco Gatto, Sinisa Bratulic, Francesca Maccari, Fabio Galeotti, Nicola Volpi, Jens Nielsen, Yair Lotan, Henrik Kjölhede

Abstract read
In one paragraph

Article in European urology open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Francesco GattoDepartment of Oncology-Pathology, Karolinska Institute, Stockholm, Sweden.
Sinisa BratulicDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Francesca MaccariDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Fabio GaleottiDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Nicola VolpiDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Jens NielsenDepartment of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Yair LotanDepartment of Urology, UT Southwestern Medical Center at Dallas, Dallas, TX, USA.
Henrik KjölhedeDepartment of Urology, Sahlgrenska University Hospital, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Screening for bladder cancer (BCa) could reduce mortality via early detection of early-stage high-grade (Ta/T1 N0 M0 grade 2-3) disease. Noninvasive biomarkers could aid in screening, but current markers lack the specificity required. The urinary free glycosaminoglycan profile (GAGome) is a promising biomarker for early detection of BCa metabolism. Methods: In a prospective case-control development study, we included patients with BCa or no evidence of disease (NED) and measured the urinary GAGome. We then developed a score to predict the probability of BCa using GAGome features that correlated with BCa versus NED according to Bayesian regression. Next, in a retrospective, population-based, case-control study, we included adults from the Lifelines Cohort Study who were presumed healthy at baseline. All cases with BCa confirmed in the cancer registry by the 2-yr or 6-yr study visit were matched to randomly selected control subjects. We developed a reference logistic regression model using age and sex to predict BCa at 7 yr after baseline. We then added the GAGome score to the model and assessed model improvement using the likelihood ratio test. We dichotomized outputs for the reference model and saturated model (reference + GAGome score) into high-risk versus low-risk categories using a 99% specificity cutoff and estimated the sensitivity for association with BCa at 7 yr. Key findings and limitations: We prospectively included 51 individuals with BCa and 38 with NED and observed alterations in three GAGome features compatible with BCa. We developed a score that discriminated BCa with an area under the receiver operating characteristic curve of 0.77 (95% confidence interval [CI] 0.67-0.87). We retrospectively selected a cohort of 1088 presumed healthy adults (median age 48 yr, 56% females), of whom 48 had developed BCa by 7 yr after baseline (median time to diagnosis 1.4 yr). The GAGome score was an independent predictor of BCa at 7 yr when added to the reference model ( Conclusions and clinical implications: The urinary free GAGome is specifically altered in BCa and can be used for noninvasive identification of adults at high risk of developing BCa, independent of age and sex. This information could be useful for the design of risk-stratified targeted screening programs for BCa. Patient summary: We tested whether measurement of a class of sugars called glycosaminoglycans (GAGs) in urine could be used for early detection of bladder cancer. Our results show that GAG levels in urine can distinguish people at high risk of developing bladder cancer within 7 years, even if they are healthy at the time of the urine sampling.

Indexed as

Bladder cancerCancer metabolismGlycosaminoglycansScreeningUrinary biomarkers

Identifiers

PMID39263348
PMCPMC11387706

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