Screening of Urinary Renal Cancer Metabolic Biomarkers with Gold Nanoparticles-assisted Laser Desorption/Ionization Mass Spectrometry

Renal cell carcinoma is a very aggressive and often fatal disease for which there are no specific biomarkers found to date. The purpose of this work was to find features that differentiate urine metabolic profiles of healthy people and cancer patients. Laser desorption/ionization mass spectrometry o...

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Bibliographic Details
Published in:Analytical Sciences 2020/12/10, Vol.36(12), pp.1521-1527
Main Authors: ARENDOWSKI, Adrian, OSSOLIŃSKI, Krzysztof, NIZIOL, Joanna, RUMAN, Tomasz
Format: Article
Language:English
Subjects:
Analytical Chemistry
Biomarkers
Biomarkers, Tumor - urine
Cancer
Cancer biomarker
Carnitine
Chemistry
Desorption
Gold
Gold - chemistry
gold nanoparticles
Histidine
Humans
Ionization
Ions
Kidney cancer
Kidney Neoplasms - metabolism
Kidney Neoplasms - urine
laser desorption/ionization
Leucine
Mass spectrometry
Mass spectroscopy
Metabolism
Metabolites
Metal Nanoparticles - chemistry
Nanoparticles
Oleamide
Renal cell carcinoma
Scientific imaging
Serine
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Spectroscopy
Squalene
Statistical analysis
Target recognition
Trihydroxyoctadecenoic acid
Urinalysis - methods
Urine
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Summary:Renal cell carcinoma is a very aggressive and often fatal disease for which there are no specific biomarkers found to date. The purpose of this work was to find features that differentiate urine metabolic profiles of healthy people and cancer patients. Laser desorption/ionization mass spectrometry on gold nanostructures-based techniques were used for the metabolic analysis of urine of 50 patients with kidney cancer. Comparison with data from 50 healthy volunteers led to the discovery of several compounds that may be considered potential renal cell carcinoma (RCC) biomarkers. Statistical analysis of data allowed for the discovery of m/z values that had the greatest impact on group differentiation. A database search enabled the assignment of signals for the most promising 15 features among them: serine, heptanol, 3-methylene-indolenine, 2-methyl-3-hydroxy-5-formylpyridine-4-carboxylate, phosphodimethylethanolamine, 4-methoxyphenylacetic acid, N-acetylglutamine, 3,5-dihydroxyphenylvaleric acid, hydroxyhexanoylglycine, valyl-leucine, leucyl-histidine, oleamide, 9,12,13-trihydroxyoctadecenoic acid, stearidonyl carnitine and squalene. Differences of metabolite profiles of human urine could be identified by gold nanoparticle-enhanced target (AuNPET) LDI MS method and used for the detection of renal cancer.
ISSN:0910-6340
1348-2246
DOI:10.2116/analsci.20P226