Literature DB >> 19381962

Metabolomics of cancer.

Natalie J Serkova1, Kristine Glunde.   

Abstract

Metabolomics, one of the "omic" sciences in systems biology, is the global assessment and validation of endogenous small-molecule biochemicals (metabolites) within a biologic system. Initially, putative quantitative metabolic biomarkers for cancer detection and/or assessment of efficacy of anticancer treatment are usually discovered in a preclinical setting (using animal and human cell cultures), followed by translational validation of these biomarkers in biofluid or tumor tissue. Based on the tumor origin, various biofluids, such as blood, urine, and expressed prostatic secretions, can be used for validating metabolic biomarkers noninvasively in cancer patients. Metabolite detection and quantification is usually carried out by nuclear magnetic resonance (NMR) spectroscopy, while mass spectrometry (MS) provides another highly sensitive metabolomics technology. Usually, sophisticated statistical analyses are carried out either on spectroscopic or on quantitative metabolic data sets to provide meaningful information about the metabolic makeup of the sample. Various metabolic biomarkers, related to glycolysis, mitochondrial citric cycle acid, choline and fatty acid metabolism, were recently reported to play important roles in cancer development and responsiveness to anticancer treatment using NMR-based metabolic profiling.Carefully designed and validated protocols for sample handling and sample extraction followed by appropriate NMR techniques and statistical analyses, which are required to establish quantitative (1)H-NMR-based metabolomics as a reliable analytical tool in the area of cancer biomarker discovery, are discussed in the present chapter.

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Year:  2009        PMID: 19381962     DOI: 10.1007/978-1-60327-811-9_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  35 in total

Review 1.  Emerging applications of metabolomics in studying chemopreventive phytochemicals.

Authors:  Lei Wang; Chi Chen
Journal:  AAPS J       Date:  2013-06-22       Impact factor: 4.009

Review 2.  Applications of metabolomics to study cancer metabolism.

Authors:  Akash K Kaushik; Ralph J DeBerardinis
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-04-25       Impact factor: 10.680

3.  Small molecule metabolite extraction strategy for improving LC/MS detection of cancer cell metabolome.

Authors:  Kathryn D Sheikh; Shefali Khanna; Stephen W Byers; Albert Fornace; Amrita K Cheema
Journal:  J Biomol Tech       Date:  2011-04

Review 4.  Promise of personalized omics to precision medicine.

Authors:  Rui Chen; Michael Snyder
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-11-26

5.  The ABRF Metabolomics Research Group 2013 Study: Investigation of Spiked Compound Differences in a Human Plasma Matrix.

Authors:  Amrita K Cheema; John M Asara; Yiwen Wang; Thomas A Neubert; Vladimir Tolstikov; Chris W Turck
Journal:  J Biomol Tech       Date:  2015-09

Review 6.  Unleashing the power of proteomics to develop blood-based cancer markers.

Authors:  Ayumu Taguchi; Samir M Hanash
Journal:  Clin Chem       Date:  2012-10-24       Impact factor: 8.327

7.  Investigation of metabolomic blood biomarkers for detection of adenocarcinoma lung cancer.

Authors:  Johannes F Fahrmann; Kyoungmi Kim; Brian C DeFelice; Sandra L Taylor; David R Gandara; Ken Y Yoneda; David T Cooke; Oliver Fiehn; Karen Kelly; Suzanne Miyamoto
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-08-17       Impact factor: 4.254

8.  Metabolomic analysis in severe childhood pneumonia in the Gambia, West Africa: findings from a pilot study.

Authors:  Evagelia C Laiakis; Gerard A J Morris; Albert J Fornace; Stephen R C Howie
Journal:  PLoS One       Date:  2010-09-09       Impact factor: 3.240

9.  Metabolomic analysis of human disease and its application to the eye.

Authors:  Stephen P Young; Graham R Wallace
Journal:  J Ocul Biol Dis Infor       Date:  2009-11-13

10.  Optimization of harvesting, extraction, and analytical protocols for UPLC-ESI-MS-based metabolomic analysis of adherent mammalian cancer cells.

Authors:  Huichang Bi; Kristopher W Krausz; Soumen K Manna; Fei Li; Caroline H Johnson; Frank J Gonzalez
Journal:  Anal Bioanal Chem       Date:  2013-04-19       Impact factor: 4.142

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