Urinary extracellular vesicle N-glycomics identifies diagnostic glycosignatures for bladder cancer

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2025-03-07 DOI:10.1038/s41467-025-57633-9
Yang Li, Bin Fu, Maoyu Wang, Weiyu Chen, Jiawei Fan, Yueyue Li, Xuejiao Liu, Jun Wang, Zhensheng Zhang, Haojie Lu, Ying Zhang
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Abstract

Bladder cancer (BC) is the most common urologic malignancy, facing enormous diagnostic challenges. Urinary extracellular vesicles (EVs) are promising source for developing diagnostic markers for bladder cancer because of the direct contact between urine and bladder. This study pioneers urinary EV N-glycomics for bladder cancer diagnosis. We have generated a comprehensive N-glycome landscape of urinary EVs through high-throughput N-glycome analysis, identifying a total of 252 N-glycans from 333 individuals. In bladder cancer patients, urinary EVs exhibit decreased fucosylation and increased sialylation level. An Eight N-glycan diagnostic model demonstrates strong performance in both validation cohorts, achieving ROC AUC values of 0.88 and 0.86, respectively. Furthermore, this model successfully differentiates both non-muscle invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC) from healthy individuals, underscoring the model’s superiority. Moreover, urinary EVs N-glycoproteomic analysis reveals that the glycoproteins carrying cancer-associated N-glycan signatures are closely associated with immune activities. The N-glycome comparative analysis of EVs and their source cells indicate that the glycosylation profiles of EVs do not completely match the glycosylation backgrounds of their source cells. In summary, our study establishes urinary EV N-glycomics as a non-invasive BC screening tool and provide a framework for EV glycan biomarker discovery across cancers.

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尿细胞外囊泡n糖组学鉴定膀胱癌的诊断糖特征
膀胱癌(BC)是最常见的泌尿系统恶性肿瘤,面临着巨大的诊断挑战。尿细胞外囊泡(EVs)是膀胱癌诊断标志物的重要来源,因为尿液与膀胱有直接接触。本研究开创了尿EV n糖组学诊断膀胱癌的先河。我们通过高通量n -糖苷分析生成了尿ev的全面n -糖苷图谱,从333个个体中共鉴定出252个n -糖苷。在膀胱癌患者中,尿ev表现出聚焦化降低和唾液化水平升高。8个n -聚糖诊断模型在两个验证队列中表现良好,ROC AUC分别为0.88和0.86。此外,该模型成功区分了健康个体的非肌肉浸润性膀胱癌(NMIBC)和肌肉浸润性膀胱癌(MIBC),凸显了该模型的优越性。此外,尿液EVs n -糖蛋白组学分析显示,携带癌症相关n -聚糖特征的糖蛋白与免疫活性密切相关。对电动汽车及其源细胞的n -糖基化比较分析表明,电动汽车的糖基化谱与其源细胞的糖基化背景并不完全匹配。总之,我们的研究建立了尿EV n-糖组学作为一种非侵入性BC筛查工具,并为在癌症中发现EV聚糖生物标志物提供了框架。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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