Urinary metabolomics study of renal cell carcinoma based on gas chromatography-mass spectrometry
10.3969/j.issn.1673-4254.2015.05.28
- VernacularTitle:基于气相色谱质谱技术的肾细胞癌患者尿液代谢组学分析
- Author:
Lin ZHANG
1
;
Ling LI
;
Hairui KONG
;
Fangyin ZENG
Author Information
1. 南方医科大学南方医院检验科
- Keywords:
renal cell carcinoma;
metabolomics;
gas chromatography-mass spectrometry;
principal component analysis;
orthogonal partial least-squares discriminant analysis
- From:
Journal of Southern Medical University
2015;(5):763-766
- CountryChina
- Language:Chinese
-
Abstract:
Objective To identify the biomarkers of renal cell cancer (RCC) through urine metabolic analysis. Methods Urine samples of 27 RCC patients, 26 patients with other urinary cancers and 26 healthy volunteers were examined with gas chromatography-mass spectrometry (GC-MS). SIMCA-P+12.0.1.0 software was used for principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) to screen for the differential metabolites. Results PCA (R2X=0.846, Q2=0.575) and OPLS-DA (R2X=0.736, R2Y=0.974, Q2Y=0.897) model were established for the RCC patients and control subjects. Fourteen metabolites were selected as the characteristic metabolites, including pentanoic acid, malonic acid, glutaric acid, adipic acid, amino quinoline, quinoline, indole acetic acid, and tryptophan, whose levels in the urine were significantly higher in the RCC patients than in the normal subjects (P<0.01); the RCC patients showed significantly higher urine contents of pentanoic acid, phenylalanine, and 6-methoxy-nitro quinoline than those with other urinary tumors (P<0.01). Conclusion The urine metabolites identified based on GC-MS analysis can distinguish RCC patients from patients with other urinary cancers and healthy subjects, suggesting their potential as diagnostic markers for RCC.
