唾液
鼻咽癌
线性判别分析
拉曼光谱
表面增强拉曼光谱
唾液蛋白
化学
主成分分析
色谱法
医学
生物化学
拉曼散射
内科学
光学
计算机科学
物理
人工智能
放射治疗
作者
Xueliang Lin,Duo Lin,Xiaosong Ge,Sufang Qiu,Shouhua Feng,Rong Chen
标识
DOI:10.1117/1.jbo.22.10.105004
摘要
The present study evaluated the capability of saliva analysis combining membrane protein purification with surface-enhanced Raman spectroscopy (SERS) for noninvasive detection of nasopharyngeal carcinoma (NPC). A rapid and convenient protein purification method based on cellulose acetate membrane was developed. A total of 659 high-quality SERS spectra were acquired from purified proteins extracted from the saliva samples of 170 patients with pathologically confirmed NPC and 71 healthy volunteers. Spectral analysis of those saliva protein SERS spectra revealed specific changes in some biochemical compositions, which were possibly associated with NPC transformation. Furthermore, principal component analysis combined with linear discriminant analysis (PCA-LDA) was utilized to analyze and classify the saliva protein SERS spectra from NPC and healthy subjects. Diagnostic sensitivity of 70.7%, specificity of 70.3%, and diagnostic accuracy of 70.5% could be achieved by PCA-LDA for NPC identification. These results show that this assay based on saliva protein SERS analysis holds promising potential for developing a rapid, noninvasive, and convenient clinical tool for NPC screening.
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