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Metabonomics Identifies Serum Metabolite Markers of Colorectal Cancer
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    Metabonomics Identifies Serum Metabolite Markers of Colorectal Cancer
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    Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, P. R. China
    University of Hawaii Cancer Center, Honolulu, Hawaii, 96813, United States
    Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
    # Shanghai Institute of Digestive Surgery, Shanghai, P. R. China
    School of Pharmacy, Shanghai Jiao Tong University, Shanghai, P. R. China
    School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, P. R. China
    State Key Laboratory of Microbial Metabolism, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, P. R. China
    Department of Colorectal Surgery, Fudan University Shanghai Cancer center, and Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, P. R. China
    § Department of Nutrition, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, North Carolina, United States
    *W.J.: tel, 1-808-564-5823; fax, 1-808-586-2984; e-mail, [email protected]. Y.Z.: tel/fax, 8621-34206778; e-mail, [email protected]
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    Journal of Proteome Research

    Cite this: J. Proteome Res. 2013, 12, 6, 3000–3009
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    https://doi.org/10.1021/pr400337b
    Published May 16, 2013
    Copyright © 2013 American Chemical Society

    Abstract

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    Recent studies suggest that biofluid-based metabonomics may identify metabolite markers promising for colorectal cancer (CRC) diagnosis. We report here a follow-up replication study, after a previous CRC metabonomics study, aiming to identify a distinct serum metabolic signature of CRC with diagnostic potential. Serum metabolites from newly diagnosed CRC patients (N = 101) and healthy subjects (N = 102) were profiled using gas chromatography time-of-flight mass spectrometry (GC–TOFMS) and ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC–QTOFMS). Differential metabolites were identified with statistical tests of orthogonal partial least-squares-discriminant analysis (VIP > 1) and the Mann–Whitney U test (p < 0.05). With a total of 249 annotated serum metabolites, we were able to differentiate CRC patients from the healthy controls using an orthogonal partial least-squares-discriminant analysis (OPLS-DA) in a learning sample set of 62 CRC patients and 62 matched healthy controls. This established model was able to correctly assign the rest of the samples to the CRC or control groups in a validation set of 39 CRC patients and 40 healthy controls. Consistent with our findings from the previous study, we observed a distinct metabolic signature in CRC patients including tricarboxylic acid (TCA) cycle, urea cycle, glutamine, fatty acids, and gut flora metabolism. Our results demonstrated that a panel of serum metabolite markers is of great potential as a noninvasive diagnostic method for the detection of CRC.

    Copyright © 2013 American Chemical Society

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    PCA and OPLS-DA scores plots and representative chromatograms; permutation test; Y-predicted scatter plots; heat map; the metabolites with a consistent trend of alteration from stage I to stage IV of CRC patients; a list of the identified serum metabolites; most significant metabolite markers identified in two CRC metabonomics studies; quality control information. This material is available free of charge via the Internet at http://pubs.acs.org.

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