Asset Details
Do you wish to reserve the book?
Metabolomic investigation of gastric cancer tissue using gas chromatography/mass spectrometry
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Metabolomic investigation of gastric cancer tissue using gas chromatography/mass spectrometry
Do you wish to request the book?
Metabolomic investigation of gastric cancer tissue using gas chromatography/mass spectrometry
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Metabolomic investigation of gastric cancer tissue using gas chromatography/mass spectrometry
2010
Overview
Gastric cancer screening or diagnosis is mainly based on endoscopy and biopsy. The aim of this study was to identify the difference of metabolomic profile between normal and malignant gastric tissue, and to further explore tumor biomarkers. Chemical derivatization together with gas chromatography/mass spectrometry (GC/MS) was utilized to obtain the metabolomic information of the malignant and non-malignant tissues of gastric mucosae in 18 gastric cancer patients. Acquired metabolomic data was analyzed using the Wilcoxon rank sum test to find the tissue metabolic biomarkers for gastric cancer. A diagnostic model for gastric cancer was constructed using principal component analysis (PCA), and was assessed with receiver-operating characteristic (ROC) curves. Results showed that 18 metabolites were detected differently between the malignant tissues and the adjacent non-malignant tissues of gastric mucosa. Five metabolites were also detected differently between the non-invasive tumors and the invasive tumors. The diagnostic model could discriminate tumors from normal mucosae with an area under the curve (AUC) value of 0.9629, and another diagnostic model constructed for clinical staging was assessed with an AUC value of 0.969. We conclude that the metabolomic profile of malignant gastric tissue was different from normal, and that the selected tissue metabolites could probably be applied for clinical diagnosis or staging for gastric cancer.
Publisher
Berlin/Heidelberg : Springer-Verlag,Springer-Verlag,Springer
Subject
/ Aged
/ analysis
/ Biological and medical sciences
/ Biomarkers, Tumor - analysis
/ Biomarkers, Tumor - metabolism
/ biopsy
/ Cancer
/ Cell transformation and carcinogenesis. Action of oncogenes and antioncogenes
/ Characterization and Evaluation of Materials
/ Chemistry and Materials Science
/ Chromatographic methods and physical methods associated with chromatography
/ Exact sciences and technology
/ Female
/ Fundamental and applied biological sciences. Psychology
/ Gas Chromatography-Mass Spectrometry
/ Humans
/ Male
/ Molecular and cellular biology
/ Monitoring/Environmental Analysis
/ patients
/ principal component analysis
/ Spectrometric and optical methods
/ Stomach
/ Stomach Neoplasms - chemistry
/ Stomach Neoplasms - metabolism
/ Tumors
