Research Papers: Sensing

Label-free detection of serum proteins using surface-enhanced Raman spectroscopy for colorectal cancer screening

[+] Author Affiliations
Jing Wang

Fujian Normal University, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fuzhou 350007, China

Duo Lin

Fujian University of Traditional Chinese Medicine, College of Integrated Traditional Chinese and Western Medicine, Fuzhou 350122, China

Juqiang Lin

Fujian Normal University, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fuzhou 350007, China

Yun Yu

Fujian University of Traditional Chinese Medicine, College of Integrated Traditional Chinese and Western Medicine, Fuzhou 350122, China

Zufang Huang

Fujian Normal University, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fuzhou 350007, China

Yanping Chen

Teaching Hospital of Fujian Medical University, Fujian Provincial Cancer Hospital, Fuzhou 350014, China

Jinyong Lin

Fujian Normal University, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fuzhou 350007, China

Shangyuan Feng

Fujian Normal University, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fuzhou 350007, China

Buhong Li

Fujian Normal University, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fuzhou 350007, China

Nenrong Liu

Fujian Normal University, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fuzhou 350007, China

Rong Chen

Fujian Normal University, Ministry of Education and Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of Optoelectronic Science and Technology for Medicine, Fuzhou 350007, China

J. Biomed. Opt. 19(8), 087003 (Aug 19, 2014). doi:10.1117/1.JBO.19.8.087003
History: Received March 26, 2014; Revised July 26, 2014; Accepted July 28, 2014
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Abstract.  Surface-enhanced Raman scattering (SERS) spectra of serum proteins purified from human serum samples were employed to detect colorectal cancer. Acetic acid as a new aggregating agent was introduced to increase the magnitude of the SERS enhancement. High-quality SERS spectra of serum proteins were acquired from 103 cancer patients and 103 healthy volunteers. Tentative assignments of SERS bands reflect that some specific biomolecular contents and protein secondary structures change with colorectal cancer progression. Principal component analysis combined with linear discriminant analysis was used to assess the capability of this approach for identifying colorectal cancer, yielding diagnostic accuracies of 100% (sensitivity: 100%; specificity: 100%) based on albumin SERS spectroscopy and 99.5% (sensitivity: 100%; specificity: 99%) based on globulin SERS spectroscopy, respectively. A partial least squares (PLS) approach was introduced to develop diagnostic models. An albumin PLS model successfully predicted the unidentified subjects with a diagnostic accuracy of 93.5% (sensitivity: 95.6%; specificity: 91.3%) and the globulin PLS model gave a diagnostic accuracy of 93.5% (sensitivity: 91.3%; specificity: 95.6%). These results suggest that serum protein SERS spectroscopy can be a sensitive and clinically powerful means for colorectal cancer detection.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Jing Wang ; Duo Lin ; Juqiang Lin ; Yun Yu ; Zufang Huang, et al.
"Label-free detection of serum proteins using surface-enhanced Raman spectroscopy for colorectal cancer screening", J. Biomed. Opt. 19(8), 087003 (Aug 19, 2014). ; http://dx.doi.org/10.1117/1.JBO.19.8.087003


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