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Salivary Analysis Based on Surface Enhanced Raman Scattering Sensors Distinguishes Early and Advanced Gastric Cancer Patients from Healthy Persons

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收录情况: ◇ SCIE ◇ EI

机构: [1]Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Instrument for Diagnosis and Therapy, Key Laboratory for Thin Film and Microfabrication of Ministry of Education, Department of Instrument Science and Engineering, School of Electronic Information and Electronical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China [2]Department of Plastic and Reconstructive Surgery, Shanghai Ninth People’s Hospital, School of Medicine Shanghai Jiao Tong University, Shanghai 200011, P. R. China [3]Central Laboratory, Shanghai Xuhui Central Hospital and Shanghai Clinical Center, 966 Middle Huaihai Road, Shanghai 200031, P. R. China [4]Instituto de Ciencia de Materiales de Aragón (ICMA-CSIC), Universidad de Zaragoza, 50009-Zaragoza, Spain [5]Department of Clinical Biochemistry, Chinese People’s Liberation Army General Hospital, Beijing 100853, P. R. China [6]Department of Oncology, Shanghai Tongren Hospital, School of Medicine Shanghai Jiao Tong University, Shanghai 200336, P. R. China [7]National Center for Translational Medicine, Collaborative Innovational Center for System Biology, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
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关键词: Gastric Cancer Salivary Metabolite Biomarker Surface Enhanced Raman Scattering Graphene Oxides Sensor

摘要:
Development of new methods to screen early gastric cancer patients has great clinical requirement. Ten amino acids in human saliva are identified as small metabolite biomarkers to distinguish early gastric cancer patients and advanced gastric cancer patients from healthy persons by using high performance liquid chromatography-mass spectrometry (HPLC-MS). Then, surface enhanced Raman scattering (SERS) sensors based on graphene oxide nanoscrolls wrapped with gold nanoparticles are developed to detect ten amino acids biomarkers in saliva. The distinctive graphene oxide nanoscrolls wrapped with gold nanoparticles are facilely prepared via ultrasonication without any organic stabilizer, and endow the SERS sensors with excellent uniformity, stability and SERS activity to adsorb and detect the biomarkers with 10(8) enhancement coefficient. The SERS sensors were confirmed to be feasible for distinguishing early gastric cancer patients and advanced gastric cancer patients from healthy persons by simulation samples and 220 clinical saliva samples with excellent performance (specificity >87.7% and sensitivity >80%). This non-invasive, cheap, fast and reliable salivary analysis method based on the SERS sensors provides a new strategy to screen out early gastric cancer patients and advanced gastric cancer patients from population, and owns clinical translational prospects.

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出版当年[2017]版:
大类 | 2 区 医学
小类 | 2 区 材料科学:生物材料 3 区 纳米科技
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Q1 MATERIALS SCIENCE, BIOMATERIALS Q2 NANOSCIENCE & NANOTECHNOLOGY
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影响因子: 最新[2024版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者机构: [1]Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Instrument for Diagnosis and Therapy, Key Laboratory for Thin Film and Microfabrication of Ministry of Education, Department of Instrument Science and Engineering, School of Electronic Information and Electronical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China [2]Department of Plastic and Reconstructive Surgery, Shanghai Ninth People’s Hospital, School of Medicine Shanghai Jiao Tong University, Shanghai 200011, P. R. China
通讯作者:
通讯机构: [1]Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent Instrument for Diagnosis and Therapy, Key Laboratory for Thin Film and Microfabrication of Ministry of Education, Department of Instrument Science and Engineering, School of Electronic Information and Electronical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China [7]National Center for Translational Medicine, Collaborative Innovational Center for System Biology, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
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