| Study on gastric cancer blood plasma based on surface-enhanced Raman spectroscopy combined with multivariate analysis. | |
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MedLine Citation:
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PMID: 21809036 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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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Authors:
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Shangyuan Feng; Jianji Pan; Yanan Wu; Duo Lin; Yanping Chen; Gangqin Xi; Juqiang Lin; Rong Chen |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-8-1 |
Journal Detail:
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Title: Science China. Life sciences Volume: - ISSN: 1869-1889 ISO Abbreviation: - Publication Date: 2011 Aug |
Date Detail:
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Created Date: 2011-8-2 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101529880 Medline TA: Sci China Life Sci Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education of China, Fujian Normal University, Fuzhou, 350007, China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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