Serum and urine analysis with gold nanoparticle-assisted laser desorption/ionization mass spectrometry for renal cell carcinoma metabolic biomarkers discovery

被引:19
作者
Arendowski, Adrian [1 ,2 ]
Ossolinski, Krzysztof [3 ]
Ossolinska, Anna [3 ]
Ossolinski, Tadeusz [3 ]
Niziol, Joanna [2 ]
Ruman, Tomasz [2 ]
机构
[1] Univ Rzeszow, Med Coll, Inst Med Studies, Warzywna 1a, PL-35310 Rzeszow, Poland
[2] Rzeszow Univ Technol, Fac Chem, Rzeszow, Poland
[3] John Paul II Dist Hosp, Dept Urol, Kolbuszowa, Poland
来源
ADVANCES IN MEDICAL SCIENCES | 2021年 / 66卷 / 02期
关键词
Gold nanoparticles; Kidney cancer biomarkers; Laser desorption; ionization; Mass spectrometry; Renal cell carcinoma; KIDNEY CANCER-DETECTION; ENHANCED TARGET; SPECTROSCOPY; EFFICIENCY; PROTEINS; IDENTIFY; PLASMA; TISSUE;
D O I
10.1016/j.advms.2021.07.003
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Purpose: Renal cell carcinoma (RCC) is a very aggressive and often fatal heterogeneous disease that is usually asymptomatic until late in the disease. There is an urgent need for RCC specific biomarkers that may be exploited clinically for diagnostic and prognostic purposes. Materials/methods: Serum and urine samples were collected from patients with diagnosed kidney cancer and assessed with gold nanoparticle enhanced target (AuNPET) surface assisted-laser desorption/ionization mass spectrometry (SALDI MS) based metabolomics and statistical analysis. Results: A database search allowed providing assignment of signals for the most promising features with a satisfactory value of the area under the curve and accuracy. Four potential biomarkers were found in urine and serum samples to distinguish clear cell renal cell carcinoma (ccRCC) from controls, 4 for the ccRCC with and without metastases, and 6 metabolites to distinguish low and high stages or grades. Conclusions: This pilot study suggests that serum and urine metabolomics based on AuNPET-LDI MS may be useful in distinguishing types, grades and stages of human RCC.
引用
收藏
页码:326 / 335
页数:10
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