个性化医疗中的高分辨率质谱分析:视黄醇结合蛋白4作为预测膀胱尿路上皮癌进展的候选生物标记物

Mariana Medeiros, J. Capelo-Martínez, H.M. Baptista Carreira Dos Santos, L.A.. Botelho De Carvalho, Luís Campos Pinheiro
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引用次数: 0

摘要

简介膀胱癌(BC)是男性第七大常见癌症。很大一部分T1病例和一些Ta病例分期不足,TaT1病变首次TURB后残留肿瘤的风险很大。建议对 T1 肿瘤进行第二次 TURB,因为它可以提高无复发生存率(RFS),提供预后信息。此前我们曾证实,通过高分辨质谱法测量的尿液蛋白质可以预测膀胱癌的分期,即 Ta、T1 和 T2 期。我们的目的是利用更多的患者来提高生物标记物面板对膀胱癌分期的准确性,同时也希望找出可能成为膀胱癌进展标志的蛋白质:方法:从以下几组自愿者中收集了 48 份尿液样本:20 位膀胱癌 Ta 期患者、19 位 BC T1 期患者和 9 位 BC T2+ 期患者(T2、T3 和 T4)。采用过滤器辅助样品制备方法对尿液蛋白质组进行清洁和消化,并采用液相色谱-质谱法进行分析。我们使用 MaxQuant 进行蛋白质鉴定和无标记定量,并使用生物信息学平台 Perseus 对数据进行进一步分析:结果:我们开发出了一个生物标志物面板,其中包括87种蛋白质,这些蛋白质在三个不同的尿路膀胱癌分期评估中出现了下调。视黄醇结合蛋白 4 (RBP4) 从 Ta 到 T1、T2+(p <0.001)以及高级别肿瘤(p = 0.006)持续增加:我们的研究结果表明,蛋白质组生物标记物面板能够区分膀胱癌的分期。此外,视黄醇结合蛋白4可作为膀胱癌进展的候选标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The High Resolution MASS spectrometry in Personalised Medicine: Retinol-Binding Protein 4 as a Candidate Biomarker Predictor of Progression in Bladder Urothelial Carcinoma
Introduction: Bladder cancer (BC) is the seventh most commonly diagnosed cancer in males. A large proportion of T1 cases and some Ta cases are under-staged and the significant risk of residual tumour after initial TURB of TaT1 lesions has been demonstrated. A second TURB is recommended in T1 tumours because it can increase recurrence-free survival (RFS) providing prognostic information. Non-invasive methods differentiating bladder cancer stages would be essential for diagnosis of under staged cases. Previously we demonstrated that a panel of urinary proteins measured by high resolution mass spectrometry could predict bladder cancer stages namely Ta, T1 and T2 cases. Our aim is to increase the accuracy of the biomarker panel for BC stage differentiation using a more patients, also intending to identify proteins that could be a signature to bladder cancer progression. Methods: Forty-eight urine samples were collected from volun- teers of these groups: 20 patients with bladder cancer stage Ta; 19 patients with BC stage T1 and 9 patients with BC stage T2+ (T2, T3 and T4). Urinary proteome was cleaned and digested using the Filter-Aided Sample Preparation methodology and analysed by liquid chromatography-mass spectrometry. For protein identification and label-free quantification we used MaxQuant, the data was further interrogated with the bioinformatics platform Perseus. Results: A biomarker panel was developed which consists of 87 proteins which were down-regulated between three different urothelial bladder carcinoma stages evaluated. Retinol-binding protein 4 (RBP4) consistently increases from Ta to T1, to T2+ (p <0.001) and in high grade tumours (p = 0.006). Conclusion: Our results showed a proteomic biomarker panel capable to differentiate bladder cancer stages. Besides, retinolbinding protein 4 can be a candidate signature of progression.
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