结直肠癌
医学
缬氨酸
代谢组学
气相色谱-质谱法
气相色谱法
色谱法
质谱法
内科学
胃肠病学
癌症
氨基酸
生物化学
化学
作者
Yanlei Ma,Weijie Liu,Jiayuan Peng,Peng Zhang,Hong-qi Chen,Huanlong Qin
出处
期刊:Chinese Journal of Gastrointestinal Surgery
日期:2009-07-01
卷期号:12 (4): 386-390
被引量:3
标识
DOI:10.3760/cma.j.issn.1671-0274.2009.04.019
摘要
Objective To study the specific metabonomic profiling of serum from colorectal cancer patients to find out the low molecule metabolites associated intimately with colorectal cancer,and to establish specific metabolic model for the diagnosis of colorectal cancer. Methods The metabonomic profiles of the serum samples from colorectal cancer (CRC) patients (n=31) and healthy adults (n=8)were investigated by gas chromatography-mass spectrometry (GC-MS) technique combined with a commercial mass spectral library for the peak clustering based on metabolites. Results Thirty-four endogenous metabolites including some amino acids, carbohydrates, fatty acids and other intermediate metabolites were identified. By t test statistics with P<0.05, P<0.01 respectively, L-valine, L-threonine,1-deoxyglucose, glycine and ribitol levels were decreased significantly, but 3-hydroxybutyric acid level was increased significantly in the CRC patient group as compared with healthy adult group. PLS-DA based on these metabolites discriminated two groups for each other. Hierarchical clustering based on above 6 significant differential metabolites revealed that the prediction accuracy of colorectal cancer group was 93.5%. Conclusion GC-MS technique is an alternative tool for the metabonomic study and would be certainly beneficial to the pathological research, early diagnosis and therapy evaluation of CRC.
Key words:
Colorectal neoplasms ; Metabonomics; Gas chromatograph-mass spectrometer
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