MoCadb-logoMoCadb - Study ID Exp21773981b

PubMed ID21773981
AuthorsIkeda A(1), Nishiumi S, Shinohara M, Yoshie T, Hatano N, Okuno T, Bamba T, Fukusaki E, Takenawa T, Azuma T, Yoshida M.
TitleSerum metabolomics as a novel diagnostic approach for gastrointestinal cancer.
JournalBiomed Chromatogr. 2012 May;26(5):548-58.
AbstractConventional tumor markers are unsuitable for detecting carcinoma at an early stage and lack clinical efficacy and utility. In this study, we attempted to investigate the differences in serum metabolite profiles of gastrointestinal cancers and healthy volunteers using a metabolomic approach and searched for sensitive and specific metabolomic biomarker candidates. Human serum samples were obtained esophageal (n = 15), gastric (n = 11), and colorectal (n = 12) cancer patients and healthy volunteers (n = 12). A model for evaluating metabolomic biomarker candidates was constructed using multiple classification analysis, and the results were assessed with receiver operating characteristic curves. Among the 58 metabolites, the levels of nine, five and 12 metabolites were significantly changed in the esophageal, gastric and colorectal cancer patients, respectively, compared with the healthy volunteers. Multiple classification analysis revealed that the variations in the levels of malonic acid and L-serine largely contributed to the separation of esophageal cancer; gastric cancer was characterized by changes in the levels of 3-hydroxypropionic acid and pyruvic acid; and L-alanine, glucuronoic lactone and L-glutamine contributed to the separation of colorectal cancer. Our approach revealed that some metabolites are more sensitive for detecting gastrointestinal cancer than conventional biomarkers. Our study supports the potential of metabolomics as an early diagnostic tool for cancer.

Sample characteristics

SpeciesTissue / SourceCompartmentDiseaseNDetection methodSample
Homo sapiensbloodserumEsophageal cancer27GC/MSDem21773981a, Dem21773981c

Sample description and preparation

N (case)15
N (control)12
Disease (case)Esophageal cancer
Disease (control)healthy

Sample analysis

Software thresholdP<0.05

Molecule list

Molecule IDextExternal IDNameSource accRegulation (case/control)Scores
CHEBI16015 16015L-Glutamic acidL-Glutamic acidratio: 2.04
CHEBI17053 17053L-Aspartic acidAspartic acidratio: 1.756
CHEBI17115 17115L-SerineL-Serineratio: 1.423
CHEBI17497 17497Glycol acidGlycolic acidratio: 1.395
CHEBI18012 18012Fumaric acidFumaric acidratio: 1.847
CHEBI18050 18050L-GlutamineL-Glutamineratio: 4.328
CHEBI30794 30794malonic acidMalonic acidratio: 1.65
CHEBI32816 32816Pyruvic acidPyruvic acidratio: 0.884
CHEBI78320 783202-Hydroxypropanoic acidLactic acidratio: 1.427

Compile date 10-20-2017© .