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A characteristic biosignature for discrimination of gastric cancer from healthy population by high throughput GC-MS analysis.
Chen, Yinan; Zhang, Jun; Guo, Lei; Liu, Lei; Wen, Jingran; Xu, Lu; Yan, Min; Li, Zuofeng; Zhang, Xiaoyan; Nan, Peng; Jiang, Jinling; Ji, Jun; Zhang, Jianian; Cai, Wei; Zhuang, Huisheng; Wang, Yan; Zhu, Zhenggang; Yu, Yingyan.
Afiliación
  • Chen Y; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhang J; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Guo L; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Liu L; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wen J; Tongji University, School of Life Science and Technology, Shanghai, China.
  • Xu L; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yan M; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Li Z; Tongji University, School of Life Science and Technology, Shanghai, China.
  • Zhang X; Tongji University, School of Life Science and Technology, Shanghai, China.
  • Nan P; School of Life Sciences, Fudan University, Shanghai, China.
  • Jiang J; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ji J; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhang J; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Cai W; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhuang H; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Wang Y; College of Public Health, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
  • Zhu Z; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yu Y; Department of Surgery of Ruijin Hospital, and Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Oncotarget ; 7(52): 87496-87510, 2016 Dec 27.
Article en En | MEDLINE | ID: mdl-27589838
Early diagnosis of gastric cancer is crucial to improve patient' outcome. A good biomarker will function in early diagnosis for gastric cancer. In order to find practical and cost-effective biomarkers, we used gas chromatography combined mass spectrometer (GC-MS) to profile urinary metabolites on 293 urine samples. Ninety-four samples are taken as training set, others for validating study. Orthogonal partial least squares discriminant analysis (OPLS-DA), significance analysis of microarray (SAM) and Mann-Whitney U test are used for data analysis. The diagnostic value of urinary metabolites was evaluated by ROC curve. As results, Seventeen metabolites are significantly different between patients and healthy controls in training set. Among them, 14 metabolites show diagnostic value better than classic blood biomarkers by quantitative assay on validation set. Ten of them are amino acids and four are organic metabolites. Importantly, proline, p-cresol and 4-hydroxybenzoic acid disclose outcome-prediction value by means of survival analysis. Therefore, the examination of urinary metabolites is a promising noninvasive strategy for gastric cancer screening.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Ensayos Analíticos de Alto Rendimiento / Cromatografía de Gases y Espectrometría de Masas Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Ensayos Analíticos de Alto Rendimiento / Cromatografía de Gases y Espectrometría de Masas Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Oncotarget Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos