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聚糖亲和磁性纳米平台用于膀胱癌尿液糖生物标志物的发现。

Glycan affinity magnetic nanoplatforms for urinary glycobiomarkers discovery in bladder cancer.

机构信息

Experimental Pathology and Therapeutics Group, Research Centre, Portuguese Oncology Institute of Porto (IPO-Porto), R. Dr. António Bernardino de Almeida 62, 4200-162 Porto, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, R. Jorge de Viterbo Ferreira 228, 4050-013 Porto, Portugal.

Experimental Pathology and Therapeutics Group, Research Centre, Portuguese Oncology Institute of Porto (IPO-Porto), R. Dr. António Bernardino de Almeida 62, 4200-162 Porto, Portugal.

出版信息

Talanta. 2018 Jul 1;184:347-355. doi: 10.1016/j.talanta.2018.03.028. Epub 2018 Mar 12.

Abstract

Bladder Cancer (BC) presents one of the highest recurrence rates amongst solid tumours and constitutes the second deadliest disease of the genitourinary track. Non-invasive identification of patients facing disease recurrence and/or progression remains one of the most critical and challenging aspects in disease management. To contribute to this goal, we demonstrate the potential of glycan-affinity glycoproteomics nanoplatforms for urinary biomarkers discovery in bladder cancer. Briefly, magnetic nanoprobes (MNP) coated with three broad-spectrum lectins, namely Concanavalin A (ConA; MNP@ConA), Wheat Germ Agglutinin (WGA; MNP@WGA), and Sambucus nigra (SNA; MNP@SNA), were used to selectively capture glycoproteins from the urine of low-grade and high-grade non-muscle invasive as well as muscle-invasive BC patients. Proteins were identified by nano-LC MALDI-TOF/TOF and data was curated using bioinformatics tools (UniProt, NetOGlyc, NetNGlyc, ClueGO app for Cytoscape and Oncomine) to highlight clinically relevant species. Accordingly, 63 glycoproteins were exclusively identified in cancer samples compared with healthy controls matching in age and gender. Specific glycoprotein sets exclusively found in low-grade non-muscle invasive bladder tumours may aid early diagnosis, while those only found in high-grade non-invasive and muscle-invasive tumours hold potential for accessing progression. Amongst these proteins is bladder cancer stem-cell marker CD44, which has been associated with poor prognosis. Orthogonal validation studies by slot-blotting demonstrated an elevation in urine CD44 levels of high-grade patients, which became more pronounced upon muscle-invasion, in mimicry of the primary tumour. These observations demonstrate the potential of MNP@lectins for identification of clinically relevant glycoproteomics signatures in bladder cancer. Future clinical validation in a larger and well characterized patient subset is required envisaging clinical translation of the results.

摘要

膀胱癌 (BC) 是实体瘤中复发率最高的肿瘤之一,也是泌尿生殖系统中第二大致命疾病。非侵入性地识别面临疾病复发和/或进展的患者仍然是疾病管理中最关键和最具挑战性的方面之一。为了实现这一目标,我们展示了糖亲和糖蛋白组学纳米平台在膀胱癌尿液生物标志物发现中的潜力。简而言之,用三种广谱凝集素(刀豆蛋白 A(ConA;MNP@ConA)、麦胚凝集素(WGA;MNP@WGA)和黑接骨木凝集素(SNA;MNP@SNA))涂覆的磁性纳米探针(MNP)用于选择性地从低级别和高级非肌肉浸润性以及肌肉浸润性膀胱癌患者的尿液中捕获糖蛋白。通过纳升 LC MALDI-TOF/TOF 鉴定蛋白质,并使用生物信息学工具(UniProt、NetOGlyc、NetNGlyc、ClueGO 应用程序用于 Cytoscape 和 Oncomine)进行数据整理,以突出具有临床意义的物种。因此,与年龄和性别相匹配的健康对照组相比,仅在癌症样本中鉴定出 63 种糖蛋白。仅在低级别非肌肉浸润性膀胱癌肿瘤中发现的特定糖蛋白组可能有助于早期诊断,而仅在高级非浸润性和肌肉浸润性肿瘤中发现的那些则可能有助于评估进展。这些蛋白质中包括膀胱癌干细胞标志物 CD44,它与预后不良有关。通过Slot-blotting 的正交验证研究表明,高级患者尿液中 CD44 水平升高,在模拟原发性肿瘤时,随着肌肉浸润,该水平变得更加明显。这些观察结果表明,MNP@lectins 具有鉴定膀胱癌中具有临床意义的糖蛋白组学特征的潜力。需要在更大且具有良好特征的患者亚组中进行进一步的临床验证,以期望将结果转化为临床应用。

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