Literature DB >> 29702206

Applications of metabolomics to study cancer metabolism.

Akash K Kaushik1, Ralph J DeBerardinis2.   

Abstract

Reprogrammed metabolism supports tumor growth and provides a potential source of therapeutic targets and disease biomarkers. Mass spectrometry-based metabolomics has emerged as a broadly informative technique for profiling metabolic features associated with specific oncogenotypes, disease progression, therapeutic liabilities and other clinically relevant aspects of tumor biology. In this review, we introduce the applications of metabolomics to study deregulated metabolism and metabolic vulnerabilities in cancer. We provide examples of studies that used metabolomics to discover novel metabolic regulatory mechanisms, including processes that link metabolic alterations with gene expression, protein function, and other aspects of systems biology. Finally, we discuss emerging applications of metabolomics for in vivo isotope tracing and metabolite imaging, both of which hold promise to advance our understanding of the role of metabolic reprogramming in cancer.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  And metabolite imaging; Cancer metabolism; Isotope tracing; Metabolic subtypes; Metabolomics; Systems biology

Mesh:

Year:  2018        PMID: 29702206      PMCID: PMC6193562          DOI: 10.1016/j.bbcan.2018.04.009

Source DB:  PubMed          Journal:  Biochim Biophys Acta Rev Cancer        ISSN: 0304-419X            Impact factor:   10.680


  161 in total

1.  NMR and MS methods for metabonomics.

Authors:  Frank Dieterle; Björn Riefke; Götz Schlotterbeck; Alfred Ross; Hans Senn; Alexander Amberg
Journal:  Methods Mol Biol       Date:  2011

2.  Network enrichment analysis in complex experiments.

Authors:  Ali Shojaie; George Michailidis
Journal:  Stat Appl Genet Mol Biol       Date:  2010-05-22

3.  Nontargeted elucidation of metabolic pathways using stable-isotope tracers and mass spectrometry.

Authors:  Karsten Hiller; Christian M Metallo; Joanne K Kelleher; Gregory Stephanopoulos
Journal:  Anal Chem       Date:  2010-08-01       Impact factor: 6.986

Review 4.  Transcriptomic and metabolomic data integration.

Authors:  Rachel Cavill; Danyel Jennen; Jos Kleinjans; Jacob Jan Briedé
Journal:  Brief Bioinform       Date:  2015-10-14       Impact factor: 11.622

5.  PKB/Akt induces transcription of enzymes involved in cholesterol and fatty acid biosynthesis via activation of SREBP.

Authors:  Thomas Porstmann; Beatrice Griffiths; Yuen-Li Chung; Oona Delpuech; John R Griffiths; Julian Downward; Almut Schulze
Journal:  Oncogene       Date:  2005-09-29       Impact factor: 9.867

6.  Comparison of HR MAS MR spectroscopic profiles of breast cancer tissue with clinical parameters.

Authors:  Beathe Sitter; Steinar Lundgren; Tone F Bathen; Jostein Halgunset; Hans E Fjosne; Ingrid S Gribbestad
Journal:  NMR Biomed       Date:  2006-02       Impact factor: 4.044

7.  VHL alterations in human clear cell renal cell carcinoma: association with advanced tumor stage and a novel hot spot mutation.

Authors:  H Brauch; G Weirich; J Brieger; D Glavac; H Rödl; M Eichinger; M Feurer; E Weidt; C Puranakanitstha; C Neuhaus; S Pomer; W Brenner; P Schirmacher; S Störkel; M Rotter; A Masera; N Gugeler; H J Decker
Journal:  Cancer Res       Date:  2000-04-01       Impact factor: 12.701

Review 8.  Integrated Metabolomics and Proteomics Highlight Altered Nicotinamide- and Polyamine Pathways in Lung Adenocarcinoma.

Authors:  Johannes F Fahrmann; Dmitry D Grapov; Kwanjeera Wanichthanarak; Brian C DeFelice; Michelle R Salemi; William N Rom; David R Gandara; Brett S Phinney; Oliver Fiehn; Harvey Pass; Suzanne Miyamoto
Journal:  Carcinogenesis       Date:  2017-01-03       Impact factor: 4.944

9.  Metabolic characterization of triple negative breast cancer.

Authors:  Maria D Cao; Santosh Lamichhane; Steinar Lundgren; Anna Bofin; Hans Fjøsne; Guro F Giskeødegård; Tone F Bathen
Journal:  BMC Cancer       Date:  2014-12-12       Impact factor: 4.430

10.  Inhibition of fatty acid oxidation as a therapy for MYC-overexpressing triple-negative breast cancer.

Authors:  Roman Camarda; Alicia Y Zhou; Rebecca A Kohnz; Sanjeev Balakrishnan; Celine Mahieu; Brittany Anderton; Henok Eyob; Shingo Kajimura; Aaron Tward; Gregor Krings; Daniel K Nomura; Andrei Goga
Journal:  Nat Med       Date:  2016-03-07       Impact factor: 53.440

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  40 in total

1.  Clinical applications of breast cancer metabolomics using high-resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1H MRS): systematic scoping review.

Authors:  Almir G V Bitencourt; Johanna Goldberg; Katja Pinker; Sunitha B Thakur
Journal:  Metabolomics       Date:  2019-11-06       Impact factor: 4.290

Review 2.  Mechanisms and Implications of Metabolic Heterogeneity in Cancer.

Authors:  Jiyeon Kim; Ralph J DeBerardinis
Journal:  Cell Metab       Date:  2019-09-03       Impact factor: 27.287

3.  A novel method to detect intracellular metabolite alterations in MCF-7 cells by doxorubicin induced cell death.

Authors:  Ajay Kumar; Sheetal Patel; Devyani Bhatkar; Sachin C Sarode; Nilesh Kumar Sharma
Journal:  Metabolomics       Date:  2021-01-03       Impact factor: 4.290

4.  Metabolomics of Oral/Head and Neck Cancer.

Authors:  Gaofei Yin; Junwei Huang; Wei Guo; Zhigang Huang
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

5.  Identifying potential metabolic tissue biomarkers for papillary thyroid cancer in different iodine nutrient regions.

Authors:  Qihao Sun; Hongjian Zhao; Zhiyong Liu; Fengqian Wang; Qian He; Cheng Xiu; Lunhua Guo; Qiushi Tian; Lijun Fan; Ji Sun; Dianjun Sun
Journal:  Endocrine       Date:  2021-06-02       Impact factor: 3.633

6.  Metabolic Profiling of Praziquantel-mediated Prevention of Opisthorchis viverrini-induced Cholangiocyte Transformation in the Hamster Model of Cholangiocarcinoma.

Authors:  Pattama Prommajun; Jutarop Phetcharaburanin; Nisana Namwat; Poramate Klanrit; Prakasit Sa-Ngiamwibool; Malinee Thanee; Hasaya Dokduang; Yingpinyapat Kittirat; Jia V Li; Watcharin Loilome
Journal:  Cancer Genomics Proteomics       Date:  2021 Jan-Feb       Impact factor: 4.069

Review 7.  Altered cellular metabolism in gliomas - an emerging landscape of actionable co-dependency targets.

Authors:  Junfeng Bi; Sudhir Chowdhry; Sihan Wu; Wenjing Zhang; Kenta Masui; Paul S Mischel
Journal:  Nat Rev Cancer       Date:  2019-12-05       Impact factor: 69.800

8.  Compartment and hub definitions tune metabolic networks for metabolomic interpretations.

Authors:  T Cameron Waller; Jordan A Berg; Alexander Lex; Brian E Chapman; Jared Rutter
Journal:  Gigascience       Date:  2020-01-01       Impact factor: 6.524

9.  Study of the metabolic alterations in patulin-induced neoplastic transformation in normal intestinal cells.

Authors:  Neha Singh; Gaurav Sharma; Indra Dev; Sanjeev K Shukla; Kausar Mahmood Ansari
Journal:  Toxicol Res (Camb)       Date:  2021-05-20       Impact factor: 3.524

10.  Personalized Genome-Scale Metabolic Models Identify Targets of Redox Metabolism in Radiation-Resistant Tumors.

Authors:  Joshua E Lewis; Tom E Forshaw; David A Boothman; Cristina M Furdui; Melissa L Kemp
Journal:  Cell Syst       Date:  2021-01-20       Impact factor: 10.304

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