Literature DB >> 19340605

A pilot study of gas chromatograph/mass spectrometry-based serum metabolic profiling of colorectal cancer after operation.

Yanlei Ma1, Weijie Liu, Jiayuan Peng, Long Huang, Peng Zhang, Xiaoping Zhao, Yiyu Cheng, Huanlong Qin.   

Abstract

Colorectal cancer (CRC) is mainly depended on the radical operation, the changing energy metabolism after operation reflects the extent, the magnitude, and the degree of surgical trauma. The aim of this study was to analyse the biochemical perturbation in the serum of CRC after operation and to evaluate their involvement in the progression of CRC. Gas chromatograph-mass spectrometry (GC-MS) in combination with pattern recognition techniques (Partial least squares discriminant analysis, supervised clustering analysis) was used to analyze serum metabolome in 30 CRC patients. A 34 endogenous metabolites included amino acid, fatty acid, carbohydrate and other intermediate metabolites were identified. Partial least squares discriminant analysis based on these metabolites discriminated preoperative from postoperative CRC group. Compared with preoperative CRC patients group, decreases in L-valine, 5-oxo-L-proline, 1-Deoxyglucose, D-turanose, D-maltose, arachidonic acid and hexadecanoic acid levels and increases in L-tyrosine levels were observed in postoperative CRC patients group. The result demonstrated the GC-MS technique is an valuable tool for the characterization of the metabolic perturbation, and the metabolomic study will certainly benefit for monitoring the nutrition state of CRC patients, the prognosis and therapy evaluation of CRC patients after operation.

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Year:  2009        PMID: 19340605     DOI: 10.1007/s11033-009-9524-4

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  34 in total

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Authors:  Young S Kim; Padma Maruvada; John A Milner
Journal:  Future Oncol       Date:  2008-02       Impact factor: 3.404

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Journal:  Am J Clin Nutr       Date:  1999-09       Impact factor: 7.045

7.  Resting energy expenditure in cancer patients before and after gastrointestinal surgery.

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Authors:  B Chernow; H R Alexander; R C Smallridge; W R Thompson; D Cook; D Beardsley; M P Fink; C R Lake; J R Fletcher
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Review 9.  Colorectal cancer screening: today and tomorrow.

Authors:  Kenneth E Hung; Daniel C Chung
Journal:  South Med J       Date:  2006-03       Impact factor: 0.954

10.  Expression of transketolase TKTL1 predicts colon and urothelial cancer patient survival: Warburg effect reinterpreted.

Authors:  S Langbein; M Zerilli; A Zur Hausen; W Staiger; K Rensch-Boschert; N Lukan; J Popa; M P Ternullo; A Steidler; C Weiss; R Grobholz; F Willeke; P Alken; G Stassi; P Schubert; J F Coy
Journal:  Br J Cancer       Date:  2006-02-27       Impact factor: 7.640

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  8 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

Review 2.  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

3.  Molecular Biomarkers of Colorectal Cancer and Cancer Disparities: Current Status and Perspective.

Authors:  Upender Manne; Trafina Jadhav; Balananda-Dhurjati Kumar Putcha; Temesgen Samuel; Shivani Soni; Chandrakumar Shanmugam; Esther A Suswam
Journal:  Curr Colorectal Cancer Rep       Date:  2016-09-20

4.  Changes in urinary metabolic profiles of colorectal cancer patients enrolled in a prospective cohort study (ColoCare).

Authors:  David B Liesenfeld; Nina Habermann; Reka Toth; Robert W Owen; Eva Frei; Jürgen Staffa; Petra Schrotz-King; Karel D Klika; Cornelia M Ulrich
Journal:  Metabolomics       Date:  2014-12-20       Impact factor: 4.290

5.  Metabonomics identifies serum metabolite markers of colorectal cancer.

Authors:  Binbin Tan; Yunping Qiu; Xia Zou; Tianlu Chen; Guoxiang Xie; Yu Cheng; Taotao Dong; Linjing Zhao; Bo Feng; Xiaofang Hu; Lisa X Xu; Aihua Zhao; Menghui Zhang; Guoxiang Cai; Sanjun Cai; Zhanxiang Zhou; Minhua Zheng; Yan Zhang; Wei Jia
Journal:  J Proteome Res       Date:  2013-05-29       Impact factor: 4.466

6.  Serum amino acid profiles and their alterations in colorectal cancer.

Authors:  Alexander Benedikt Leichtle; Jean-Marc Nuoffer; Uta Ceglarek; Julia Kase; Tim Conrad; Helmut Witzigmann; Joachim Thiery; Georg Martin Fiedler
Journal:  Metabolomics       Date:  2011-09-16       Impact factor: 4.290

7.  ¹H NMR-based metabolic profiling of human rectal cancer tissue.

Authors:  Huijuan Wang; Liang Wang; Hailong Zhang; Pengchi Deng; Jie Chen; Bin Zhou; Jing Hu; Jun Zou; Wenjie Lu; Pu Xiang; Tianming Wu; Xiaoni Shao; Yuan Li; Zongguang Zhou; Ying-Lan Zhao
Journal:  Mol Cancer       Date:  2013-10-18       Impact factor: 27.401

8.  CD133-positive cancer stem cells from Colo205 human colon adenocarcinoma cell line show resistance to chemotherapy and display a specific metabolomic profile.

Authors:  Zangiacomi Vincent; Kenichi Urakami; Koji Maruyama; Ken Yamaguchi; Masatoshi Kusuhara
Journal:  Genes Cancer       Date:  2014-07
  8 in total

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