Literature DB >> 21773981

Serum metabolomics as a novel diagnostic approach for gastrointestinal cancer.

Atsuki Ikeda1, Shin Nishiumi, Masakazu Shinohara, Tomoo Yoshie, Naoya Hatano, Tatsuya Okuno, Takeshi Bamba, Eiichiro Fukusaki, Tadaomi Takenawa, Takeshi Azuma, Masaru Yoshida.   

Abstract

Conventional 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.
Copyright © 2011 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 21773981     DOI: 10.1002/bmc.1671

Source DB:  PubMed          Journal:  Biomed Chromatogr        ISSN: 0269-3879            Impact factor:   1.902


  51 in total

Review 1.  Diagnosis of gastroenterological diseases by metabolome analysis using gas chromatography-mass spectrometry.

Authors:  Masaru Yoshida; Naoya Hatano; Shin Nishiumi; Yasuhiro Irino; Yoshihiro Izumi; Tadaomi Takenawa; Takeshi Azuma
Journal:  J Gastroenterol       Date:  2011-11-02       Impact factor: 7.527

2.  Regulation of the metabolite profile by an APC gene mutation in colorectal cancer.

Authors:  Tomoo Yoshie; Shin Nishiumi; Yoshihiro Izumi; Aya Sakai; Jun Inoue; Takeshi Azuma; Masaru Yoshida
Journal:  Cancer Sci       Date:  2012-04-12       Impact factor: 6.716

3.  Revealing the metabonomic variation of EC using ¹H-NMR spectroscopy and its association with the clinicopathological characteristics.

Authors:  Ayshamgul Hasim; Hong Ma; Batur Mamtimin; Abulizi Abudula; Madiniyet Niyaz; Li-Wei Zhang; Juret Anwer; Ilyar Sheyhidin
Journal:  Mol Biol Rep       Date:  2012-06-27       Impact factor: 2.316

4.  Label-free surface-enhanced Raman spectroscopy for detection of colorectal cancer and precursor lesions using blood plasma.

Authors:  Shangyuan Feng; Wenbo Wang; Isabella T Tai; Guannan Chen; Rong Chen; Haishan Zeng
Journal:  Biomed Opt Express       Date:  2015-08-24       Impact factor: 3.732

5.  Application of Metabolomics for High Resolution Phenotype Analysis.

Authors:  Eiichiro Fukusaki
Journal:  Mass Spectrom (Tokyo)       Date:  2015-01-07

Review 6.  Review of mass spectrometry-based metabolomics in cancer research.

Authors:  David B Liesenfeld; Nina Habermann; Robert W Owen; Augustin Scalbert; Cornelia M Ulrich
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-04       Impact factor: 4.254

7.  Metabolomics and transcriptomics identify pathway differences between visceral and subcutaneous adipose tissue in colorectal cancer patients: the ColoCare study.

Authors:  David B Liesenfeld; Dmitry Grapov; Johannes F Fahrmann; Mariam Salou; Dominique Scherer; Reka Toth; Nina Habermann; Jürgen Böhm; Petra Schrotz-King; Biljana Gigic; Martin Schneider; Alexis Ulrich; Esther Herpel; Peter Schirmacher; Oliver Fiehn; Johanna W Lampe; Cornelia M Ulrich
Journal:  Am J Clin Nutr       Date:  2015-07-08       Impact factor: 7.045

8.  Metabolomics for the early detection of cisplatin-induced nephrotoxicity.

Authors:  Takeshi Ezaki; Shin Nishiumi; Takeshi Azuma; Masaru Yoshida
Journal:  Toxicol Res (Camb)       Date:  2017-08-29       Impact factor: 3.524

9.  Metabolic phenotyping to monitor chronic enteritis canceration.

Authors:  Fan Zhang; Chunbo Li; Kui Deng; Zhuozhong Wang; Weiwei Zhao; Kai Yang; Chunyan Yang; Zhiwei Rong; Lei Cao; Yaxin Lu; Yue Huang; Peng Han; Kang Li
Journal:  Metabolomics       Date:  2020-02-24       Impact factor: 4.290

10.  Urinary volatile organic compounds as potential biomarkers for renal cell carcinoma.

Authors:  Dongchun Wang; Changsong Wang; Xin Pi; Lei Guo; Yue Wang; Mingjuan Li; Yue Feng; Ziwei Lin; Wei Hou; Enyou Li
Journal:  Biomed Rep       Date:  2016-05-20
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