Study on gastric cancer blood plasma based on surface-enhanced Raman spectroscopy combined with multivariate analysis |
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Authors: | ShangYuan Feng JianJi Pan YanAn Wu Duo Lin YanPing Chen GangQin Xi JuQiang Lin Rong Chen |
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Institution: | (1) Center for Environmental Systems, Stevens Institute of Technology, Hoboken, NJ 07030, USA;(2) Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA |
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Abstract: | A surface-enhanced Raman spectroscopy (SERS) method combined with multivariate analysis was developed for non-invasive gastric
cancer detection. SERS measurements were performed on two groups of blood plasma samples: one group from 32 gastric patients
and the other group from 33 healthy volunteers. Tentative assignments of the Raman bands in the measured SERS spectra suggest
interesting cancer-specific biomolecular changes, including an increase in the relative amounts of nucleic acid, collagen,
phospholipids and phenylalanine and a decrease in the percentage of amino acids and saccharide in the blood plasma of gastric
cancer patients as compared with those of healthy subjects. Principal components analysis (PCA) and linear discriminant analysis
(LDA) were employed to develop effective diagnostic algorithms for classification of SERS spectra between normal and cancer
plasma with high sensitivity (79.5%) and specificity (91%). A receiver operating characteristic (ROC) curve was employed to
assess the accuracy of diagnostic algorithms based on PCA-LDA. The results from this exploratory study demonstrate that SERS
plasma analysis combined with PCA-LDA has tremendous potential for the non-invasive detection of gastric cancers. |
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