Literature DB >> 23150057

New opportunities from the cancer metabolome.

Omran Abu Aboud1, Robert H Weiss.   

Abstract

BACKGROUND: Metabolomics, the study of all metabolites produced in the body, which often includes flora and drug metabolites, is the omics approach that can be considered most closely related to a patient's phenotype. Metabolomics has a great and largely untapped potential in the field of oncology, and the analysis of the cancer metabolome to identify biofluid markers and novel druggable targets can now be undertaken in many research laboratories. CONTENT: The cancer metabolome has been used to identify and begin to evaluate potential biomarkers and therapeutic targets in a variety of malignancies, including breast, prostate, and kidney cancer. We discuss the several standard techniques for metabolite separation and identification, with their potential problems and drawbacks. Validation of biomarkers and targets may entail intensive use of labor and technology and generally requires a large number of study participants as well as laboratory validation studies. The field of pharmacometabolomics, in which specific therapies are chosen on the basis of a patient's metabolomic profile, has shown some promise in the translation of metabolomics into the arena of personalized medicine.
SUMMARY: The relatively new approach using metabolomics has just begun to enter the mainstream of cancer diagnostics and therapeutics. As this field advances, metabolomics will take its well-deserved place next to genomics, transcriptomics, and proteomics in both clinical and basic research in oncology.
© 2012 American Association for Clinical Chemistry

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Year:  2012        PMID: 23150057     DOI: 10.1373/clinchem.2012.184598

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  39 in total

1.  Targeting choline phospholipid metabolism: GDPD5 and GDPD6 silencing decrease breast cancer cell proliferation, migration, and invasion.

Authors:  Maria Dung Cao; Menglin Cheng; Asif Rizwan; Lu Jiang; Balaji Krishnamachary; Zaver M Bhujwalla; Tone F Bathen; Kristine Glunde
Journal:  NMR Biomed       Date:  2016-06-30       Impact factor: 4.044

2.  Advancing Point-of-Care Diagnostics of Metabolites Through Engineering Semisynthetic Proteins.

Authors:  JingJing Zhang; Yi Lu
Journal:  Clin Chem       Date:  2019-02-08       Impact factor: 8.327

3.  A Novel [15N] Glutamine Flux using LC-MS/MS-SRM for Determination of Nucleosides and Nucleobases.

Authors:  Feng Jin; Salil Kumar Bhowmik; Vasanta Putluri; Franklin Gu; Jie Gohlke; Friedrich Carl Von Rundstedt; Subhamoy Dasgupta; Rashmi Krishnapuram; Bert W O'Malley; Arun Sreekumar; Nagireddy Putluri
Journal:  J Anal Bioanal Tech       Date:  2015-08-30

4.  Metabolomic markers of altered nucleotide metabolism in early stage adenocarcinoma.

Authors:  William R Wikoff; Dmitry Grapov; Johannes F Fahrmann; Brian DeFelice; William N Rom; Harvey I Pass; Kyoungmi Kim; UyenThao Nguyen; Sandra L Taylor; David R Gandara; Karen Kelly; Oliver Fiehn; Suzanne Miyamoto
Journal:  Cancer Prev Res (Phila)       Date:  2015-02-05

5.  Grade-Dependent Metabolic Reprogramming in Kidney Cancer Revealed by Combined Proteomics and Metabolomics Analysis.

Authors:  Hiromi I Wettersten; A Ari Hakimi; Dexter Morin; Cristina Bianchi; Megan E Johnstone; Dallas R Donohoe; Josephine F Trott; Omran Abu Aboud; Steven Stirdivant; Bruce Neri; Robert Wolfert; Benjamin Stewart; Roberto Perego; James J Hsieh; Robert H Weiss
Journal:  Cancer Res       Date:  2015-05-07       Impact factor: 12.701

6.  Environmental influences in the etiology of colorectal cancer: the premise of metabolomics.

Authors:  Nicholas J W Rattray; Georgia Charkoftaki; Zahra Rattray; James E Hansen; Vasilis Vasiliou; Caroline H Johnson
Journal:  Curr Pharmacol Rep       Date:  2017-04-07

7.  A transcriptional metabolic gene-set based prognostic signature is associated with clinical and mutational features in head and neck squamous cell carcinoma.

Authors:  Lu Xing; Mingzhu Guo; Xiaoqi Zhang; Xiaoqian Zhang; Feng Liu
Journal:  J Cancer Res Clin Oncol       Date:  2020-02-17       Impact factor: 4.553

Review 8.  Big data: the next frontier for innovation in therapeutics and healthcare.

Authors:  Naiem T Issa; Stephen W Byers; Sivanesan Dakshanamurthy
Journal:  Expert Rev Clin Pharmacol       Date:  2014-04-07       Impact factor: 5.045

9.  Downregulation of CENPF Remodels Prostate Cancer Cells and Alters Cellular Metabolism.

Authors:  Muhammad Shahid; Minhyung Kim; Min Young Lee; Austin Yeon; Sungyong You; Hyung L Kim; Jayoung Kim
Journal:  Proteomics       Date:  2019-05-08       Impact factor: 5.393

Review 10.  Metabolomic Approaches for Detection and Identification of Biomarkers and Altered Pathways in Bladder Cancer.

Authors:  Nicola Antonio di Meo; Davide Loizzo; Savio Domenico Pandolfo; Riccardo Autorino; Matteo Ferro; Camillo Porta; Alessandro Stella; Cinzia Bizzoca; Leonardo Vincenti; Felice Crocetto; Octavian Sabin Tataru; Monica Rutigliano; Michele Battaglia; Pasquale Ditonno; Giuseppe Lucarelli
Journal:  Int J Mol Sci       Date:  2022-04-10       Impact factor: 6.208

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