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Colorectal cancer detection by gold nanoparticle based surface-enhanced Raman spectroscopy of blood serum and statistical analysisDuo Lin, Shangyuan Feng, Jianji Pan, Yanping Chen, Juqiang Lin, Guannan Chen, Shusen Xie, Haishan Zeng, and Rong Chen »View Author Affiliations
Duo Lin,1,4
Shangyuan Feng,1,4
Jianji Pan,2,4
Yanping Chen,2
Juqiang Lin,1
Guannan Chen,1
Shusen Xie,1
Haishan Zeng,3
and Rong Chen1,*
1Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, Fuzhou 350007, China 2Fujian Provincial Tumor Hospital, Fuzhou 350001, China 3Integrative Oncology Department - Imaging Unit, British Columbia Cancer Agency Research Centre, Vancouver, B.C., V5Z 1L3, Canada 4Duo Lin, Shangyuan Feng and Jianji Pan are co-first authors; they contributed equally to the work. *Corresponding author: chenr@fjnu.edu.cn |
Optics Express, Vol. 19, Issue 14, pp. 13565-13577 (2011)
http://dx.doi.org/10.1364/OE.19.013565
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Abstract
The capabilities of using gold nanoparticle based surface-enhanced Raman spectroscopy (SERS) to obtain blood serum biochemical information for non-invasive colorectal cancer detection were presented in this paper. SERS measurements were performed on two groups of blood serum samples: one group from patients (n = 38) with pathologically confirmed colorectal cancer and the other group from healthy volunteers (control subjects, n = 45). Tentative assignments of the Raman bands in the measured SERS spectra suggested interesting cancer specific biomolecular changes, including an increase in the relative amounts of nucleic acid, a decrease in the percentage of saccharide and proteins contents in the blood serum of colorectal cancer patients as compared to that of healthy subjects. Both empirical approach and multivariate statistical techniques, including principal components analysis (PCA) and linear discriminant analysis (LDA) were employed to develop effective diagnostic algorithms for classification of SERS spectra between normal and colorectal cancer serum. The empirical diagnostic algorithm based on the ratio of the SERS peak intensity at 725 cm−1 for adenine to the peak intensity at 638 cm−1 for tyrosine achieved a diagnostic sensitivity of 68.4% and specificity of 95.6%, whereas the diagnostic algorithms based on PCA-LDA yielded a diagnostic sensitivity of 97.4% and specificity of 100% for separating cancerous samples from normal samples. Receiver operating characteristic (ROC) curves further confirmed the effectiveness of the diagnostic algorithm based on PCA-LDA technique. The results from this exploratory study demonstrated that gold nanoparticle based SERS serum analysis combined with PCA-LDA has tremendous potential for the non-invasive detection of colorectal cancers.
© 2011 OSA
OCIS Codes
(170.1470) Medical optics and biotechnology : Blood or tissue constituent monitoring
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
(240.6695) Optics at surfaces : Surface-enhanced Raman scattering
ToC Category:
Medical Optics and Biotechnology
History
Original Manuscript: April 22, 2011
Revised Manuscript: June 11, 2011
Manuscript Accepted: June 11, 2011
Published: June 29, 2011
Virtual Issues
Vol. 6, Iss. 8 Virtual Journal for Biomedical Optics
Citation
Duo Lin, Shangyuan Feng, Jianji Pan, Yanping Chen, Juqiang Lin, Guannan Chen, Shusen Xie, Haishan Zeng, and Rong Chen, "Colorectal cancer detection by gold nanoparticle based surface-enhanced Raman spectroscopy of blood serum and statistical analysis," Opt. Express 19, 13565-13577 (2011)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-19-14-13565
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- E. Gormally, E. Caboux, P. Vineis, and P. Hainaut, “Circulating free DNA in plasma or serum as biomarker of carcinogenesis: practical aspects and biological significance,” Mutat. Res. 635(2-3), 105–117 (2007). [CrossRef] [PubMed]
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- J. D. Guingab, B. Lauly, B. W. Smith, N. Omenetto, and J. D. Winefordner, “Stability of silver colloids as substrate for surface enhanced Raman spectroscopy detection of dipicolinic acid,” Talanta 74(2), 271–274 (2007). [CrossRef] [PubMed]
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- E. Gormally, E. Caboux, P. Vineis, and P. Hainaut, “Circulating free DNA in plasma or serum as biomarker of carcinogenesis: practical aspects and biological significance,” Mutat. Res. 635(2-3), 105–117 (2007). [CrossRef] [PubMed]
- H. Han, X. Yan, R. Dong, G. Ban, and K. Li, “Analysis of serum from type II diabetes mellitus and diabetic complication using surface-enhanced Raman spectra (SERS),” Appl. Phys. B 94(4), 667–672 (2009). [CrossRef]
- H. Yao, Z. Tao, M. Ai, L. Peng, G. Wang, B. He, and Y. Li, “Raman spectroscopic analysis of apoptosis of single human gastric cancer cells,” Vib. Spectrosc. 50(2), 193–197 (2009). [CrossRef]
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- J. D. Guingab, B. Lauly, B. W. Smith, N. Omenetto, and J. D. Winefordner, “Stability of silver colloids as substrate for surface enhanced Raman spectroscopy detection of dipicolinic acid,” Talanta 74(2), 271–274 (2007). [CrossRef] [PubMed]
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- D. Rohleder, W. Kiefer, and W. Petrich, “Quantitative analysis of serum and serum ultrafiltrate by means of Raman spectroscopy,” Analyst (Lond.) 129(10), 906–911 (2004). [CrossRef] [PubMed]
- S. Devpura, J. Thakur, F. Sarkar, W. Sakr, V. Naik, and R. Naik, “Detection of benign epithelia, prostatic intraepithelial neoplasia, and cancer regions in radical prostatectomy tissues using Raman spectroscopy,” Vib. Spectrosc. 53(2), 227–232 (2010). [CrossRef]
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