Abstract Kidney cancer is a disease diagnosed annually in 400,000 people for which there are no specific biomarkers found to date. It is therefore important to search for new chemical compounds to detect cancer state. Laser desorption/ionization mass spectrometry on gold nanoparticle-enhanced target (AuNPET) method was used in this work for rapid metabolic analysis of blood serum of fifty patients with renal cancer. Comparison with data from sera of fifty healthy volunteers allowed discovering potential biomarkers of renal cell carcinoma (RCC). Statistical analysis of m/z values that had the greatest impact on group differentiation allowed. Database search allowed providing assignment of signals for the most promising eleven features among them: dihydrouracil, creatinine, glutamine, tyrosine, 2,3-diaminosalicylic acid, 3-hydroxykynurenine, 2-hydroxylauroylcarnitine, melatonin glucuronide, palmitoyl glucuronide, triglyceride(52:4) or phosphatidylcholine(42:0). This work demonstrate that the differences in metabolite profiles in serum of kidney cancer patients and that of healthy subjects could be identified by gold nanostructures LDI MS – based metabolomics and exploited as metabolic serum markers for the early detection of kidney cancer.

中文翻译：

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金纳米结构 - 用于肾癌血清生物标志物筛选的辅助激光解吸/电离质谱

摘要 肾癌是一种每年在 400,000 人中被诊断出的疾病，迄今为止还没有发现特定的生物标志物。因此，寻找新的化合物来检测癌症状态非常重要。金纳米粒子增强靶标（AuNPET）上的激光解吸/电离质谱法被用于对五十名肾癌患者的血清进行快速代谢分析。与 50 名健康志愿者的血清数据进行比较，可以发现肾细胞癌 (RCC) 的潜在生物标志物。允许对对组分化影响最大的 m/z 值进行统计分析。数据库搜索允许为其中最有希望的 11 个特征提供信号分配：二氢尿嘧啶、肌酐、谷氨酰胺、酪氨酸、2,3-二氨基水杨酸、3-羟基犬尿氨酸、2-羟基月桂酰肉碱、褪黑激素葡糖苷酸、棕榈酰葡糖苷酸、甘油三酯（52:4）或磷脂酰胆碱（42:0）。这项工作表明，肾癌患者和健康受试者血清中代谢物谱的差异可以通过基于金纳米结构 LDI MS 的代谢组学进行鉴定，并被用作早期检测肾癌的代谢血清标志物。