Literature DB >> 24896344

Novel biomarker for prostate cancer diagnosis by MRS.

Bimal Kumar Sarkar1, Chiranjib Chakraborty1, Ashish Ranjan Sharma1, Kee-Jeong Bae1, Garima Sharma1, George Priya Doss1, Debnarayan Dutta1, Shangwu Ding1, Bilguun Ganbold1, Ju-Suk Nam1, Sang-Soo Lee1.   

Abstract

Magnetic resonance spectroscopy (MRS) is a prospective tool for characterization of the chemical composition of tissues. In vivo MRS can be used for metabolite profiling in the prostate tissue to discriminate non-invasively carcinomas and healthy prostate. In this article different prostate metabolites have been discussed and how to exploit the MRS technique for the estimation of metabolites in prostate tissue quantitatively is elucidated. Choline, citrate, creatine, myo-inositol metabolites can be considered as biomarker for localization of malignancy in the prostate and their ratio can be used for the determination of cancer tissue in the prostate gland.

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Year:  2014        PMID: 24896344     DOI: 10.2741/4275

Source DB:  PubMed          Journal:  Front Biosci (Landmark Ed)        ISSN: 2768-6698


  3 in total

1.  Terahertz identification and quantification of neurotransmitter and neurotrophy mixture.

Authors:  Yan Peng; Xiaorong Yuan; Xiang Zou; Wanqing Chen; Hui Huang; Hongwei Zhao; Bo Song; Liang Chen; Yiming Zhu
Journal:  Biomed Opt Express       Date:  2016-10-06       Impact factor: 3.732

2.  MR Spectroscopy in Prostate Cancer: New Algorithms to Optimize Metabolite Quantification.

Authors:  Giovanni Bellomo; Francesco Marcocci; David Bianchini; Emilio Mezzenga; Vincenzo D'Errico; Enrico Menghi; Romano Zannoli; Anna Sarnelli
Journal:  PLoS One       Date:  2016-11-10       Impact factor: 3.240

3.  Metabolomic Prediction of Human Prostate Cancer Aggressiveness: Magnetic Resonance Spectroscopy of Histologically Benign Tissue.

Authors:  Lindsey A Vandergrift; Emily A Decelle; Johannes Kurth; Shulin Wu; Taylor L Fuss; Elita M DeFeo; Elkan F Halpern; Matthias Taupitz; W Scott McDougal; Aria F Olumi; Chin-Lee Wu; Leo L Cheng
Journal:  Sci Rep       Date:  2018-03-26       Impact factor: 4.379

  3 in total

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