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Prediction of Gastric Cancer Metastasis through Urinarymetabolomic Investigation
Author: HuJunZuo
Tutor: ChenJinLian
School: Suzhou University
Course: Department of Gastroenterology,
Keywords: metabolomic profile gastric cancer metastasis biomarker gas chromatography/mass spectrometry
CLC: R735.2
Type: Master's thesis
Year: 2011
Downloads: 94
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Abstract
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AIM: To gain new insights into tumor metabolism and to identify possible biomarkers with potential diagnostic value. We also investigated whether possible biomarkers could predict tumor metastasis.METHODS: Human gastric cancer SGC-7901 cells were implanted into twenty-four SCID mice, which randomly divided into metastasis group (n=8), non-metastasis group (n=8), and normal group (n=8). Urinary metabolomic information was investigated by GC/MS.RESULTS: These three groups had significant metabolic differences (T test, P<0.05). Ten metabolites were selected differently between normal and cancer group (non-metastasis and metastasis group), and seven metabolites were also found differently between non-metastasis and metastasis group. Two diagnostic models for gastric cancer and metastasis, respectively, were constructed by principal component analysis (PCA). These PCA models were confirmed by corresponding receiver operating characteristic (ROC) analysis (AUC=1.00).CONCLUSION: The urinary metabolomic profiling of each group is different, and the selected metabolites might be instructive to clinical diagnosis or screening metastasis for gastric cancer.
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CLC: > Medicine, health > Oncology > Gastrointestinal Cancer > Gastric neoplasms
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