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Article

Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy

  • Authors:
    • Sufang Qiu
    • Yuanji Xu
    • Lingling Huang
    • Wei Zheng
    • Chaobin Huang
    • Shaohua Huang
    • Jinyong Lin
    • Duo Lin
    • Shangyuan Feng
    • Rong Chen
    • Jianji Pan
  • View Affiliations / Copyright

    Affiliations: The Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian 350001, P.R. China, Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian 350014, P.R. China, Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou, Fujian 350007, P.R. China, College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, P.R. China
  • Pages: 884-890
    |
    Published online on: November 24, 2015
       https://doi.org/10.3892/ol.2015.3969
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Abstract

The present study evaluated the use of saliva surface-enhanced Raman spectroscopy (SERS) for the detection of non-invasive nasopharyngeal carcinoma (NPC). SERS measurements were taken from 62 saliva samples, of which 32 were from NPC patients and 30 from healthy volunteers. Notable biochemical Raman bands in the SERS spectra were tentatively assigned to various saliva components. The saliva SERS spectra obtained from the NPC patients and the healthy volunteers were also analyzed by multivariate statistical techniques based on principal component analysis and linear discriminant analysis (PCA‑LDA). Significant differences were observed between the saliva SERS spectral intensities for NPC patients and healthy volunteers, particularly at 447, 496, 635, 729, 1134, 1270 and 1448 cm‑1, which primarily contained signals associated with proteins, nucleic acids, fatty acids, glycogen and collagen. The classification results based on the PCA-LDA method provided a relatively high diagnostic sensitivity of 86.7%, specificity of 81.3% and diagnostic accuracy of 83.9% for NPC identification. The results from the present study demonstrate that saliva SERS analysis used in conjunction with PCA-LDA diagnostic algorithms possesses a promising clinical application for the non-invasive detection of NPC.
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Copy and paste a formatted citation
Spandidos Publications style
Qiu S, Xu Y, Huang L, Zheng W, Huang C, Huang S, Lin J, Lin D, Feng S, Chen R, Chen R, et al: Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy. Oncol Lett 11: 884-890, 2016.
APA
Qiu, S., Xu, Y., Huang, L., Zheng, W., Huang, C., Huang, S. ... Pan, J. (2016). Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy. Oncology Letters, 11, 884-890. https://doi.org/10.3892/ol.2015.3969
MLA
Qiu, S., Xu, Y., Huang, L., Zheng, W., Huang, C., Huang, S., Lin, J., Lin, D., Feng, S., Chen, R., Pan, J."Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy". Oncology Letters 11.1 (2016): 884-890.
Chicago
Qiu, S., Xu, Y., Huang, L., Zheng, W., Huang, C., Huang, S., Lin, J., Lin, D., Feng, S., Chen, R., Pan, J."Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy". Oncology Letters 11, no. 1 (2016): 884-890. https://doi.org/10.3892/ol.2015.3969
Copy and paste a formatted citation
x
Spandidos Publications style
Qiu S, Xu Y, Huang L, Zheng W, Huang C, Huang S, Lin J, Lin D, Feng S, Chen R, Chen R, et al: Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy. Oncol Lett 11: 884-890, 2016.
APA
Qiu, S., Xu, Y., Huang, L., Zheng, W., Huang, C., Huang, S. ... Pan, J. (2016). Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy. Oncology Letters, 11, 884-890. https://doi.org/10.3892/ol.2015.3969
MLA
Qiu, S., Xu, Y., Huang, L., Zheng, W., Huang, C., Huang, S., Lin, J., Lin, D., Feng, S., Chen, R., Pan, J."Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy". Oncology Letters 11.1 (2016): 884-890.
Chicago
Qiu, S., Xu, Y., Huang, L., Zheng, W., Huang, C., Huang, S., Lin, J., Lin, D., Feng, S., Chen, R., Pan, J."Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy". Oncology Letters 11, no. 1 (2016): 884-890. https://doi.org/10.3892/ol.2015.3969
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