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40
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Text
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<a href="http://doi.org/10.1002/jrs.4924" target="_blank" rel="noreferrer noopener">http://doi.org/10.1002/jrs.4924</a>
Rights
Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
Pages
917-925
Issue
8
Volume
47
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Different Classification Algorithms And Serum Surface Enhanced Raman Spectroscopy For Noninvasive Discrimination Of Gastric Diseases
Publisher
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Journal of Raman Spectroscopy
Date
A point or period of time associated with an event in the lifecycle of the resource
2016
2016-08
Subject
The topic of the resource
atrophic gastritis; cancer; diagnosis; gastric; multivariate-analysis; quality; SERS; serum; Spectroscopy; surface enhanced Raman spectroscopy
Creator
An entity primarily responsible for making the resource
Li X Z; Yang T Y; Li S Q; Wang D L; Song Y T; Yu K D
Description
An account of the resource
In this study, surface enhanced Raman spectroscopy (SERS) was used to investigate the spectral characteristics of blood serum for the purpose of diagnosing stomach diseases. SERS spectral data was collected from patients with atrophic gastritis, both pre-operation and post-operation gastric cancer, and from healthy individuals. Visual differences in the SERS spectra were observed between the four groups which indicate corresponding biomolecule concentration changes in blood. To further investigate the diagnostic ability of human serum, the spectral data was analyzed with three chemometric processes. These three methods extracted features and classified from the spectral data. Principal component analysis (PCA) was first performed to reduce the dimensionality of the original spectral data. Then, the classification methods support vector machine (SVM), linear discriminant analysis (LDA) and classification and regression tree (CART) were used for the evaluation of diagnostic ability. Accuracies of 96.5%, 88.8% and 87.1% were obtained for PCA-SVM, PCA-LDA and PCA-CART, respectively. Copyright (c) 2016 John Wiley & Sons, Ltd.
Identifier
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<a href="http://doi.org/10.1002/jrs.4924" target="_blank" rel="noreferrer noopener">10.1002/jrs.4924</a>
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Journal Article or Conference Abstract Publication
2016
atrophic gastritis
Cancer
Diagnosis
gastric
Journal Article or Conference Abstract Publication
Journal of Raman Spectroscopy
Li S Q
Li X Z
multivariate-analysis
quality
SERS
serum
Song Y T
Spectroscopy
surface enhanced Raman spectroscopy
Wang D L
Yang T Y
Yu K D
-
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
URL Address
<a href="http://doi.org/10.7150/thno.30204" target="_blank" rel="noreferrer noopener">http://doi.org/10.7150/thno.30204</a>
Pages
898-909
Issue
2
Volume
10
ISSN
1838-7640
Search for Full-text
Locate full-text within NEOMED Library's e-journal collections
<a href="http://neomed.idm.oclc.org/login?url=http://doi.org/10.7150/thno.30204" target="_blank" rel="noreferrer noopener">NEOMED Full-text Holding (if available) - Proxy DOI: 10.7150/thno.30204</a>
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Update Year & Number
June 2020 Update I
NEOMED College
NEOMED College of Medicine
NEOMED Department
NEOMED Student Publications
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Polymerase chain reaction - surface-enhanced Raman spectroscopy (PCR-SERS) method for gene methylation level detection in plasma
Publisher
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Theranostics
Date
A point or period of time associated with an event in the lifecycle of the resource
2020
2020
Subject
The topic of the resource
3-methyladenine; 5-methylcytosine; aberrant promoter methylation; classification; dna methylation; hypermethylation; methylation level; multiplex detection; pcr; plasma; point mutations; profile; scattering; sers; surface-enhanced Raman spectroscopy
Creator
An entity primarily responsible for making the resource
Li Xiaozhou; Yang Tianyue; Li Caesar Siqi; Song Youtao; Wang Deli; Jin Lili; Lou Hong; Li Wei
Description
An account of the resource
Gene promoter hypermethylation is a vital step in tumorigenesis. This paper set out to explore the use of polymerase chain reaction - surface-enhanced Raman spectroscopy (PCR-SERS) for the detection of gene methylation levels, with a focus on cancer diagnosis. Methods: PCR with methylation independent primers were used on DNA samples to amplify target genes regardless of their methylation states. SERS was used on the obtained PCR products to generate spectra that contained peak changes belonging to CG and AT base pairs. Multiple linear regression (MLR) was then used to deconvolute the SERS spectra so that the CG/AT ratios of the sample could be obtained. These MLR results were used to calculate methylation levels of the target genes. For protocol verification, three sets of seven reference DNA solutions with known methylation levels (0%, 1%, 5%, 25%, 50%, 75%, and 100%) were analysed. Clinically, blood plasma samples were taken from 48 non-small-cell lung cancer (NSCLC) patients and 51 healthy controls. The methylation levels of the genes p16, MGMT, and RASSF1 were determined for each patient using this method. Results: Verification experiment on the mixtures with known methylation levels resulted in an error of less than 6% from the actual levels. When applied to our clinical samples, the frequency of methylation in at least one of the three target genes among the NSCLC patients was 87.5%, but this percentage decreased to 11.8% for the control group. The methylation levels of p16 were found to be significantly higher in NSCLC patients with more pack-years smoked (p=0.04), later cancer stages (p=0.03), and cancer types of squamous cell and large cell versus adenocarcinoma (p=0.03). Prediction accuracy of 88% was achieved from classification and regression trees (CART) based on methylation levels and states, respectively. Conclusion: This research showed that the PCR-SERS protocol could quantitatively measure the methylation levels of genes in plasma. The methylation levels of the genes p16, MGMT, and RASSF1 were higher in NSCLC patients than in controls.
Identifier
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<a href="http://doi.org/10.7150/thno.30204" target="_blank" rel="noreferrer noopener">10.7150/thno.30204</a>
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Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
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journalArticle
2020
3-methyladenine
5-methylcytosine
aberrant promoter methylation
classification
DNA Methylation
hypermethylation
Jin Lili
Journal Article
journalArticle
June 2020 Update I
Li Caesar Siqi
Li Wei
Li Xiaozhou
Lou Hong
methylation level
multiplex detection
NEOMED College of Medicine Student
NEOMED Student Publications
PCR
Plasma
point mutations
profile
Scattering
SERS
Song Youtao
surface-enhanced Raman spectroscopy
Theranostics
Wang Deli
Yang Tianyue