Literature DB >> 20626203

Characterizing human cancer metabolomics with ex vivo 1H HRMAS MRS.

Elita M DeFeo1, Leo L Cheng.   

Abstract

Publications of proton high resolution magic angle spinning (1H HRMAS) magnetic resonance spectroscopy (MRS) and its role in identification of metabolic markers for human cancer reported between 2005 and 2009 are reviewed according the anatomic sites of cancer: lung, breast, prostate, brain, colorectal, and cervical. Limited and insufficient screening options for the general public have indicated a need for more advanced tests that can identify and locate cancer at an early stage. 1H HRMAS MRS is a valuable tool that can elucidate relevant biological metabolite information that is being used to distinguish cancer from benign tissue, and even classify types of tumors. Researchers are working to translate this ex vivo spectroscopy information into an in vivo system that could be implemented in cancer clinics. For instance, in the case of lung cancer, the goal is to identify the at risk population through a simple blood test, which would be the first level of screening. From these tests, patients identified as at risk will be able to undergo further non-invasive radiological testing for diagnostic purposes. Not only will this ex vivo technology become a valuable diagnostic tool, it will also provide a way to monitor treatments on an individual basis so they can be adjusted accordingly for the best possible outcome.

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Year:  2010        PMID: 20626203     DOI: 10.1177/153303461000900407

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  10 in total

1.  Recent Advances in Metabolic Profiling And Imaging of Prostate Cancer.

Authors:  Roopa Thapar; Mark A Titus
Journal:  Curr Metabolomics       Date:  2014-04

2.  Application of comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry method to identify potential biomarkers of perinatal asphyxia in a non-human primate model.

Authors:  Andrew C Beckstrom; Elizabeth M Humston; Laura R Snyder; Robert E Synovec; Sandra E Juul
Journal:  J Chromatogr A       Date:  2011-02-25       Impact factor: 4.759

3.  Metabolomics: a novel approach to early and noninvasive prostate cancer detection.

Authors:  Matthew J Roberts; Horst J Schirra; Martin F Lavin; Robert A Gardiner
Journal:  Korean J Urol       Date:  2011-02-19

Review 4.  Applications of high-resolution magic angle spinning MRS in biomedical studies I-cell line and animal models.

Authors:  Eva Kaebisch; Taylor L Fuss; Lindsey A Vandergrift; Karin Toews; Piet Habbel; Leo L Cheng
Journal:  NMR Biomed       Date:  2017-03-16       Impact factor: 4.044

Review 5.  High-resolution magic angle spinning 1H MRS in prostate cancer.

Authors:  Emily A Decelle; Leo L Cheng
Journal:  NMR Biomed       Date:  2013-03-26       Impact factor: 4.044

6.  Analytical strategies for studying stem cell metabolism.

Authors:  James M Arnold; William T Choi; Arun Sreekumar; Mirjana Maletić-Savatić
Journal:  Front Biol (Beijing)       Date:  2015-04

7.  An HR-MAS MR metabolomics study on breast tissues obtained with core needle biopsy.

Authors:  MuLan Li; Yonghyun Song; Nariya Cho; Jung Min Chang; Hye Ryoung Koo; Ann Yi; Hyeonjin Kim; Sunghyouk Park; Woo Kyung Moon
Journal:  PLoS One       Date:  2011-10-18       Impact factor: 3.240

8.  Towards real-time metabolic profiling of a biopsy specimen during a surgical operation by 1H high resolution magic angle spinning nuclear magnetic resonance: a case report.

Authors:  Martial Piotto; François-Marie Moussallieh; Agnès Neuville; Jean-Pierre Bellocq; Karim Elbayed; Izzie Jacques Namer
Journal:  J Med Case Rep       Date:  2012-01-18

Review 9.  Evaluation of Cancer Metabolomics Using ex vivo High Resolution Magic Angle Spinning (HRMAS) Magnetic Resonance Spectroscopy (MRS).

Authors:  Taylor L Fuss; Leo L Cheng
Journal:  Metabolites       Date:  2016-03-22

10.  Diagnostic value of 3.0T (1)H MRS with choline-containing compounds ratio (∆CCC) in primary malignant hepatic tumors.

Authors:  Li Zhang; Xinming Zhao; Han Ouyang; Shuang Wang; Chunwu Zhou
Journal:  Cancer Imaging       Date:  2016-08-22       Impact factor: 3.909

  10 in total

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