4.5 Article

Noninvasive detection of nasopharyngeal carcinoma based on saliva proteins using surface-enhanced Raman spectroscopy

期刊

JOURNAL OF BIOMEDICAL OPTICS
卷 22, 期 10, 页码 -

出版社

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.JBO.22.10.105004

关键词

surface-enhanced Raman spectroscopy; nasopharyngeal carcinoma detection; saliva protein; principal component analysis combined with linear discriminant analysis

资金

  1. National Natural Science Foundation of China [U1605253, 61210016, 61405036, 61575043]
  2. Innovation Team Development Plan by the Ministry of Education of China [IRT15R10]
  3. National Natural Science Foundation of Fujian, China [2017J01499, 2015J01436]
  4. Key Clinical Specialty Discipline Construction Program of Fujian (China)
  5. National Clinical Key Specialty Construction Program

向作者/读者索取更多资源

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. (C) 2017 Society of Photo- Optical Instrumentation Engineers (SPIE).

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