Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors
Shangyuan Feng,1 Shaohua Huang,1 Duo Lin,2 Guannan Chen,1 Yuanji Xu,3 Yongzeng Li,1 Zufang Huang,1 Jianji Pan,3 Rong Chen,1 Haishan Zeng41Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, 2Fujian University of Traditional...
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Dove Medical Press
2015
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oai:doaj.org-article:aa8771ad1ecc47189f96ab149d0624602021-12-02T03:05:14ZSurface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors1178-2013https://doaj.org/article/aa8771ad1ecc47189f96ab149d0624602015-01-01T00:00:00Zhttp://www.dovepress.com/surface-enhanced-raman-spectroscopy-of-saliva-proteins-for-the-noninva-peer-reviewed-article-IJNhttps://doaj.org/toc/1178-2013 Shangyuan Feng,1 Shaohua Huang,1 Duo Lin,2 Guannan Chen,1 Yuanji Xu,3 Yongzeng Li,1 Zufang Huang,1 Jianji Pan,3 Rong Chen,1 Haishan Zeng41Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, 2Fujian University of Traditional Chinese Medicine, 3Fujian Provincial Tumor Hospital, Fuzhou, People’s Republic of China; 4Imaging Unit – Integrative Oncology Department, British Columbia Cancer Agency Research Centre, Vancouver, BC, CanadaAbstract: The capability of saliva protein analysis, based on membrane protein purification and surface-enhanced Raman spectroscopy (SERS), for detecting benign and malignant breast tumors is presented in this paper. A total of 97 SERS spectra from purified saliva proteins were acquired from samples obtained from three groups: 33 healthy subjects; 33 patients with benign breast tumors; and 31 patients with malignant breast tumors. Subtle but discernible changes in the mean SERS spectra of the three groups were observed. Tentative assignments of the saliva protein SERS spectra demonstrated that benign and malignant breast tumors led to several specific biomolecular changes of the saliva proteins. Multiclass partial least squares–discriminant analysis was utilized to analyze and classify the saliva protein SERS spectra from healthy subjects, benign breast tumor patients, and malignant breast tumor patients, yielding diagnostic sensitivities of 75.75%, 72.73%, and 74.19%, as well as specificities of 93.75%, 81.25%, and 86.36%, respectively. The results from this exploratory work demonstrate that saliva protein SERS analysis combined with partial least squares–discriminant analysis diagnostic algorithms has great potential for the noninvasive and label-free detection of breast cancer.Keywords: SERS, saliva protein purification, PLS-DA, breast cancer, noninvasive detectionFeng SHuang SLin DChen GXu YLi YHuang ZPan JChen RZeng HDove Medical PressarticleMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol 2015, Iss default, Pp 537-547 (2015) |
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Medicine (General) R5-920 |
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Medicine (General) R5-920 Feng S Huang S Lin D Chen G Xu Y Li Y Huang Z Pan J Chen R Zeng H Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors |
| description |
Shangyuan Feng,1 Shaohua Huang,1 Duo Lin,2 Guannan Chen,1 Yuanji Xu,3 Yongzeng Li,1 Zufang Huang,1 Jianji Pan,3 Rong Chen,1 Haishan Zeng41Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, 2Fujian University of Traditional Chinese Medicine, 3Fujian Provincial Tumor Hospital, Fuzhou, People’s Republic of China; 4Imaging Unit – Integrative Oncology Department, British Columbia Cancer Agency Research Centre, Vancouver, BC, CanadaAbstract: The capability of saliva protein analysis, based on membrane protein purification and surface-enhanced Raman spectroscopy (SERS), for detecting benign and malignant breast tumors is presented in this paper. A total of 97 SERS spectra from purified saliva proteins were acquired from samples obtained from three groups: 33 healthy subjects; 33 patients with benign breast tumors; and 31 patients with malignant breast tumors. Subtle but discernible changes in the mean SERS spectra of the three groups were observed. Tentative assignments of the saliva protein SERS spectra demonstrated that benign and malignant breast tumors led to several specific biomolecular changes of the saliva proteins. Multiclass partial least squares–discriminant analysis was utilized to analyze and classify the saliva protein SERS spectra from healthy subjects, benign breast tumor patients, and malignant breast tumor patients, yielding diagnostic sensitivities of 75.75%, 72.73%, and 74.19%, as well as specificities of 93.75%, 81.25%, and 86.36%, respectively. The results from this exploratory work demonstrate that saliva protein SERS analysis combined with partial least squares–discriminant analysis diagnostic algorithms has great potential for the noninvasive and label-free detection of breast cancer.Keywords: SERS, saliva protein purification, PLS-DA, breast cancer, noninvasive detection |
| format |
article |
| author |
Feng S Huang S Lin D Chen G Xu Y Li Y Huang Z Pan J Chen R Zeng H |
| author_facet |
Feng S Huang S Lin D Chen G Xu Y Li Y Huang Z Pan J Chen R Zeng H |
| author_sort |
Feng S |
| title |
Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors |
| title_short |
Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors |
| title_full |
Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors |
| title_fullStr |
Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors |
| title_full_unstemmed |
Surface-enhanced Raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors |
| title_sort |
surface-enhanced raman spectroscopy of saliva proteins for the noninvasive differentiation of benign and malignant breast tumors |
| publisher |
Dove Medical Press |
| publishDate |
2015 |
| url |
https://doaj.org/article/aa8771ad1ecc47189f96ab149d062460 |
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