Arendowski Adrian
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Toruń, Wileńska 4, 87-100 Toruń, Poland.
Metabolites. 2024 Mar 20;14(3):173. doi: 10.3390/metabo14030173.
Urinary tract cancers, including those of the bladder, the kidneys, and the prostate, represent over 12% of all cancers, with significant global incidence and mortality rates. The continuous challenge that these cancers present necessitates the development of innovative diagnostic and prognostic methods, such as identifying specific biomarkers indicative of cancer. Biomarkers, which can be genes, proteins, metabolites, or lipids, are vital for various clinical purposes including early detection and prognosis. Mass spectrometry (MS), particularly soft ionization techniques such as electrospray ionization (ESI) and laser desorption/ionization (LDI), has emerged as a key tool in metabolic profiling for biomarker discovery, due to its high resolution, sensitivity, and ability to analyze complex biological samples. Among the LDI techniques, matrix-assisted laser desorption/ionization (MALDI) and surface-assisted laser desorption/ionization (SALDI) should be mentioned. While MALDI methodology, which uses organic compounds as matrices, is effective for larger molecules, SALDI, based on the various types of nanoparticles and nanostructures, is preferred for smaller metabolites and lipids due to its reduced spectral interference. This study highlights the application of LDI techniques, along with mass spectrometry imaging (MSI), in identifying potential metabolic and lipid biomarkers for urological cancers, focusing on the most common bladder, kidney, and prostate cancers.
泌尿系统癌症,包括膀胱癌、肾癌和前列腺癌,占所有癌症的12%以上,在全球范围内具有显著的发病率和死亡率。这些癌症带来的持续挑战使得开发创新的诊断和预后方法成为必要,比如识别指示癌症的特定生物标志物。生物标志物可以是基因、蛋白质、代谢物或脂质,对于包括早期检测和预后在内的各种临床目的至关重要。质谱(MS),尤其是诸如电喷雾电离(ESI)和激光解吸/电离(LDI)等软电离技术,由于其高分辨率、灵敏度以及分析复杂生物样品的能力,已成为生物标志物发现代谢谱分析中的关键工具。在LDI技术中,应提及基质辅助激光解吸/电离(MALDI)和表面辅助激光解吸/电离(SALDI)。虽然使用有机化合物作为基质的MALDI方法对较大分子有效,但基于各种类型纳米颗粒和纳米结构的SALDI,因其减少的光谱干扰,对于较小的代谢物和脂质更为适用。本研究重点介绍了LDI技术以及质谱成像(MSI)在识别泌尿系统癌症潜在代谢和脂质生物标志物方面的应用,主要关注最常见的膀胱癌、肾癌和前列腺癌。