代谢组学
化学
代谢物
膀胱癌
质谱法
代谢组
生物标志物发现
色谱法
接收机工作特性
癌症
生物标志物
液相色谱-质谱法
四极飞行时间
飞行时间质谱
串联质谱法
蛋白质组学
生物化学
内科学
医学
离子
有机化学
基因
电离
作者
Joanna Nizioł,Krzysztof Ossoliński,Aneta Płaza‐Altamer,Artur Kołodziej,Anna Ossolińska,Tadeusz Ossoliński,Zuzanna Krupa,Tomasz Ruman
标识
DOI:10.1016/j.jpba.2024.115966
摘要
Bladder cancer (BC) ranks among the most common cancers globally, with an increasing occurrence, particularly in developed nations. Utilizing tissue metabolomics presents a promising strategy for identifying potential biomarkers for cancer detection. In this study, we utilized ultra-high-performance liquid chromatography coupled with ultra-high-resolution mass spectrometry (UHPLC-UHRMS), incorporating both C18-silica and HILIC columns, to comprehensively analyze both polar and non-polar metabolite profiles in tissue samples from 99 patients with bladder cancer. By utilizing an untargeted approach with external validation, we identified twenty-five tissue metabolites that hold promise as potential indicators of BC. Furthermore, twenty-five characteristic tissue metabolites that exhibit discriminatory potential across bladder cancer tumor grades, as well as thirty-nine metabolites that display correlations with tumor stages were presented. Receiver-Operating Characteristics analysis demonstrated high predictive power for all types of metabolomics data, with area under the curve (AUC) values exceeding 0.966. Notably, this study represents the first report in which human bladder normal tissues adjacent to cancerous tissues were analyzed using UHPLC-UHRMS. These findings suggest that the metabolite markers identified in this investigation could serve as valuable tools for the detection and monitoring of bladder cancer stages and grades.
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