Literature DB >> 20427174

Nasopharyngeal cancer detection based on blood plasma surface-enhanced Raman spectroscopy and multivariate analysis.

Shangyuan Feng1, Rong Chen, Juqiang Lin, Jianji Pan, Guannan Chen, Yongzeng Li, Min Cheng, Zufang Huang, Jiesi Chen, Haishan Zeng.   

Abstract

A surface-enhanced Raman spectroscopy (SERS) method was developed for blood plasma biochemical analysis for the first time with the aim to develop a simple blood test for non-invasive nasopharyngeal cancer detection. Silver nanoparticles (Ag NP) as the SERS-active nanostructures were directly mixed with blood plasma to enhance the Raman scattering signals of various biomolecular constituents such as proteins, lipids, and nucleic acids. High quality SERS spectrum from blood plasma-Ag NP mixture can be obtained within 10s using a Renishaw micro-Raman system. SERS measurements were performed on two groups of blood plasma samples: one group from patients (n=43) with pathologically confirmed nasopharyngeal carcinomas (WHO type I, II, and III) and the other group from healthy volunteers (control subjects, n=33). Tentative assignments of the Raman bands in the measured SERS spectra suggest interesting cancer specific biomolecular differences, 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 contents in the blood plasma of nasopharyngeal cancer patients as compared to that of healthy subjects. Principal component analysis (PCA) of the measured SERS spectra separated the spectral features of the two groups into two distinct clusters with little overlaps. Linear discriminate analysis (LDA) based on the PCA generated features differentiated the nasopharyngeal cancer SERS spectra from normal SERS spectra with high sensitivity (90.7%) and specificity (100%). The results from this exploratory study demonstrated great potentials for developing SERS blood plasma analysis into a novel clinical tool for non-invasive detection of nasopharyngeal cancers. Copyright (c) 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20427174     DOI: 10.1016/j.bios.2010.03.033

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  51 in total

1.  Quantitative ratiometric discrimination between noncancerous and cancerous prostate cells based on neuropilin-1 overexpression.

Authors:  Alessia Pallaoro; Gary B Braun; Martin Moskovits
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-19       Impact factor: 11.205

2.  Label-free surface-enhanced Raman spectroscopy for detection of colorectal cancer and precursor lesions using blood plasma.

Authors:  Shangyuan Feng; Wenbo Wang; Isabella T Tai; Guannan Chen; Rong Chen; Haishan Zeng
Journal:  Biomed Opt Express       Date:  2015-08-24       Impact factor: 3.732

3.  Non-invasive detection of nasopharyngeal carcinoma using saliva surface-enhanced Raman spectroscopy.

Authors:  Sufang Qiu; Yuanji Xu; Lingling Huang; Wei Zheng; Chaobin Huang; Shaohua Huang; Jinyong Lin; Duo Lin; Shangyuan Feng; Rong Chen; Jianji Pan
Journal:  Oncol Lett       Date:  2015-11-24       Impact factor: 2.967

4.  Label-free detection of nasopharyngeal and liver cancer using surface-enhanced Raman spectroscopy and partial lease squares combined with support vector machine.

Authors:  Yun Yu; Yating Lin; Chaoxian Xu; Kecan Lin; Qing Ye; Xiaoyan Wang; Shusen Xie; Rong Chen; Juqiang Lin
Journal:  Biomed Opt Express       Date:  2018-11-07       Impact factor: 3.732

5.  Discrimination of gastric cancer from normal by serum RNA based on surface-enhanced Raman spectroscopy (SERS) and multivariate analysis.

Authors:  Yanping Chen; Gang Chen; Xiongwei Zheng; Cheng He; Shangyuan Feng; Yan Chen; Xiaoqian Lin; Rong Chen; Haisan Zeng
Journal:  Med Phys       Date:  2012-09       Impact factor: 4.071

6.  Label-free discrimination of different stage nasopharyngeal carcinoma tissue based on Raman spectroscopy.

Authors:  Sufang Qiu; Qingting Huang; Lingling Huang; Jinyong Lin; Jun Lu; Duo Lin; Gang Cao; Chao Chen; Jianji Pan; Rong Chen
Journal:  Oncol Lett       Date:  2016-02-17       Impact factor: 2.967

7.  Using Raman spectroscopy to characterize biological materials.

Authors:  Holly J Butler; Lorna Ashton; Benjamin Bird; Gianfelice Cinque; Kelly Curtis; Jennifer Dorney; Karen Esmonde-White; Nigel J Fullwood; Benjamin Gardner; Pierre L Martin-Hirsch; Michael J Walsh; Martin R McAinsh; Nicholas Stone; Francis L Martin
Journal:  Nat Protoc       Date:  2016-03-10       Impact factor: 13.491

Review 8.  Challenges and opportunities in clinical translation of biomedical optical spectroscopy and imaging.

Authors:  Brian C Wilson; Michael Jermyn; Frederic Leblond
Journal:  J Biomed Opt       Date:  2018-03       Impact factor: 3.170

Review 9.  Role of Raman spectroscopy and surface enhanced Raman spectroscopy in colorectal cancer.

Authors:  Cerys A Jenkins; Paul D Lewis; Peter R Dunstan; Dean A Harris
Journal:  World J Gastrointest Oncol       Date:  2016-05-15

10.  Preliminary study of differentiating smears from cancerous and non-cancerous nasopharyngeal tissue using confocal Raman spectroscopy.

Authors:  Liqing Sun; Zhihong Xu; Wei Huang; Shanshan Wu; Xinheng Lin; Fengyu Zhu; Nengrong Liu; Meizhen Huang; Rong Chen; Haishan Zeng
Journal:  J Cancer Res Clin Oncol       Date:  2015-11-26       Impact factor: 4.553

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