Potential of non-invasive esophagus cancer detection based on urine surface-enhanced Raman spectroscopy

被引：30
作者：
Huang, Shaohua [1 ]
Wang, Lan [1 ]
Chen, Weisheng [2 ]
Feng, Shangyuan [1 ]
Lin, Juqiang [1 ]
Huang, Zufang [1 ]
Chen, Guannan [1 ]
Li, Buhong [1 ]
Chen, Rong [1 ]
机构：
[1] Fujian Normal Univ, Minist Educ, Key Lab OptoElect Sci & Technol Med, Fuzhou 350007, Peoples R China
[2] Fuzhou Gen Hosp, Fuzhou 350001, Peoples R China
来源：
LASER PHYSICS LETTERS | 2014年 / 11卷 / 11期
基金：
中国国家自然科学基金;
关键词：
SERS; urine; PCA-LDA; non-invasive detection; esophagus cancer; SPECTRA; SERUM;
D O I：
10.1088/1612-2011/11/11/115604
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Non-invasive esophagus cancer detection based on urine surface-enhanced Raman spectroscopy (SERS) analysis was presented. Urine SERS spectra were measured on esophagus cancer patients (n = 56) and healthy volunteers (n = 36) for control analysis. Tentative assignments of the urine SERS spectra indicated some interesting esophagus cancer-specific biomolecular changes, including a decrease in the relative content of urea and an increase in the percentage of uric acid in the urine of esophagus cancer patients compared to that of healthy subjects. Principal component analysis (PCA) combined with linear discriminant analysis (LDA) was employed to analyze and differentiate the SERS spectra between normal and esophagus cancer urine. The diagnostic algorithms utilizing a multivariate analysis method achieved a diagnostic sensitivity of 89.3% and specificity of 83.3% for separating esophagus cancer samples from normal urine samples. These results from the explorative work suggested that silver nano particle-based urine SERS analysis coupled with PCA-LDA multivariate analysis has potential for non-invasive detection of esophagus cancer.
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页数：6
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