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尿游离糖胺聚糖可识别出有发展为早期高级别膀胱癌高风险的成年人。

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

作者信息

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

机构信息

Department of Oncology-Pathology, Karolinska Institute, Stockholm, Sweden.

Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.

出版信息

Eur Urol Open Sci. 2024 Aug 23;68:40-47. doi: 10.1016/j.euros.2024.08.001. eCollection 2024 Oct.

DOI:10.1016/j.euros.2024.08.001
PMID:39263348
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11387706/
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 ( < 0.001). The sensitivity for BCa at 7 yr for high-risk subjects was 31% (95% CI 20-43%) using the saturated model and 17% (95% CI 4.7-29%) using the reference model at 99% specificity (95% CI 98-99%).

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.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad02/11387706/d50be73bb936/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad02/11387706/3a3c215cd6c4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad02/11387706/d50be73bb936/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad02/11387706/3a3c215cd6c4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad02/11387706/d50be73bb936/gr2.jpg
摘要

背景与目的

膀胱癌(BCa)筛查可通过早期发现早期高级别(Ta/T1 N0 M0 2 - 3级)疾病降低死亡率。非侵入性生物标志物有助于筛查,但目前的标志物缺乏所需的特异性。尿游离糖胺聚糖谱(GAGome)是早期检测BCa代谢的一种有前景的生物标志物。

方法

在一项前瞻性病例对照研究中,我们纳入了BCa患者或无疾病证据(NED)的患者,并测量了尿GAGome。然后,我们根据贝叶斯回归,利用与BCa和NED相关的GAGome特征开发了一个评分,以预测BCa的发生概率。接下来,在一项基于人群的回顾性病例对照研究中,我们纳入了生命线队列研究中基线时假定健康的成年人。在2年或6年研究随访时癌症登记处确诊的所有BCa病例均与随机选择的对照受试者匹配。我们使用年龄和性别开发了一个参考逻辑回归模型,以预测基线后7年的BCa。然后,我们将GAGome评分添加到模型中,并使用似然比检验评估模型的改进情况。我们使用99%的特异性临界值将参考模型和饱和模型(参考模型 + GAGome评分)的输出分为高风险和低风险类别,并估计与7年后BCa关联的敏感性。

主要发现与局限性

我们前瞻性地纳入了51例BCa患者和38例NED患者,观察到与BCa相符的三个GAGome特征发生了改变。我们开发了一个评分,其受试者工作特征曲线下面积为0.77(95%置信区间[CI] 0.67 - 0.87),可区分BCa。我们回顾性地选择了一组1088例假定健康的成年人(中位年龄48岁,56%为女性),其中48例在基线后7年内发生了BCa(中位诊断时间1.4年)。当将GAGome评分添加到参考模型中时,它是7年后BCa的独立预测因子(P < 0.001)。在99%特异性(95% CI 98 - 99%)下,使用饱和模型时,7年后高风险受试者中BCa的敏感性为31%(95% CI 20 - 43%),使用参考模型时为17%(95% CI 4.7 - 29%)。

结论与临床意义

尿游离GAGome在BCa中发生特异性改变,可用于独立于年龄和性别的非侵入性识别发生BCa高风险的成年人。这些信息可能有助于设计BCa的风险分层靶向筛查方案。

患者总结

我们测试了尿液中一类称为糖胺聚糖(GAGs)的糖的测量是否可用于膀胱癌的早期检测。我们的结果表明,尿液中的GAG水平可以区分在7年内发生膀胱癌高风险的人群,即使他们在尿液采样时是健康的。

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本文引用的文献

1
Urine biomarkers in bladder cancer - current status and future perspectives.膀胱癌中的尿液生物标志物——现状与未来展望
Nat Rev Urol. 2023 Oct;20(10):597-614. doi: 10.1038/s41585-023-00773-8. Epub 2023 May 24.
2
Noninvasive detection of any-stage cancer using free glycosaminoglycans.使用游离糖胺聚糖无创检测任何阶段的癌症。
Proc Natl Acad Sci U S A. 2022 Dec 13;119(50):e2115328119. doi: 10.1073/pnas.2115328119. Epub 2022 Dec 5.
3
Epidemiology, Screening, and Prevention of Bladder Cancer.膀胱癌的流行病学、筛查与预防
Eur Urol Oncol. 2022 Dec;5(6):628-639. doi: 10.1016/j.euo.2022.10.003. Epub 2022 Nov 1.
4
Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma-A Prospective Cohort Study.血浆和尿液游离糖胺聚糖作为非转移性肾细胞癌监测生物标志物的前瞻性队列研究
Eur Urol Open Sci. 2022 Jun 29;42:30-39. doi: 10.1016/j.euros.2022.06.003. eCollection 2022 Aug.
5
Diagnostic Accuracy of Novel Urinary Biomarker Tests in Non-muscle-invasive Bladder Cancer: A Systematic Review and Network Meta-analysis.新型尿生物标志物检测在非肌层浸润性膀胱癌中的诊断准确性:系统评价和网络荟萃分析。
Eur Urol Oncol. 2021 Dec;4(6):927-942. doi: 10.1016/j.euo.2021.10.003. Epub 2021 Nov 6.
6
Bayesian Analysis Reporting Guidelines.贝叶斯分析报告指南。
Nat Hum Behav. 2021 Oct;5(10):1282-1291. doi: 10.1038/s41562-021-01177-7. Epub 2021 Aug 16.
7
Analytical performance of a standardized kit for mass spectrometry-based measurements of human glycosaminoglycans.基于质谱法的人糖胺聚糖标准化试剂盒的分析性能。
J Chromatogr B Analyt Technol Biomed Life Sci. 2021 Jul 1;1177:122761. doi: 10.1016/j.jchromb.2021.122761. Epub 2021 May 18.
8
Urine and serum glycosaminoglycan levels in the diagnosis of urological diseases and conditions: A narrative review of the literature.尿液和血清糖胺聚糖水平在泌尿系统疾病和病症诊断中的应用:文献综述。
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9
The Urothelium: Life in a Liquid Environment.尿路上皮:液体环境中的生命。
Physiol Rev. 2020 Oct 1;100(4):1621-1705. doi: 10.1152/physrev.00041.2019. Epub 2020 Mar 19.
10
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