Literature DB >> 15172064

Biochemical characterization of metastatic lymph nodes of breast cancer patients by in vitro 1H magnetic resonance spectroscopy: a pilot study.

Uma Sharma1, Ambica Mehta, V Seenu, N R Jagannathan.   

Abstract

Using one-dimensional (1D) and two-dimensional (2D) proton nuclear magnetic resonance (NMR) methods, the perchloric acid extract of involved (n = 11) and noninvolved (n = 12) axillary lymph nodes (ALN) of breast cancer patients was investigated. Resonances from 40 metabolites such as lactate (Lac), glucose, several amino acids (alanine, lysine, glutamic acid, glutamine, etc.), nucleotides (adenosine triphosphate, guanosine triphosphate, uridine triphosphate, uridine monophosphate, etc.), membrane metabolites [glycerophosphocholine (GPC), phosphocoline (PC), phosphoethanolamine (PE), choline] were unambiguously assigned in both the involved and noninvolved ALN. The concentration of PC/GPC (p = 0.002) was significantly higher in the involved compared to noninvolved nodes. In addition, the concentration of glycolytic product Lac (p = 0.0001) was also found to be significantly higher in involved nodes. Increased concentration of membrane metabolites PC/GPC may be attributed to increased membrane synthesis in malignant cells and, therefore, suggests the presence of metastatic cells in lymph nodes. The higher concentration of Lac is indicative of the presence of malignant cells that derive energy via anaerobic glycolytic pathway. Present results demonstrate the potentials of in vitro proton NMR in detecting malignant cells in ALN and such studies may have an important bearing in determining the prognosis of breast cancer patients.

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Year:  2004        PMID: 15172064     DOI: 10.1016/j.mri.2004.01.037

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  14 in total

1.  Revealing the metabonomic variation of EC using ¹H-NMR spectroscopy and its association with the clinicopathological characteristics.

Authors:  Ayshamgul Hasim; Hong Ma; Batur Mamtimin; Abulizi Abudula; Madiniyet Niyaz; Li-Wei Zhang; Juret Anwer; Ilyar Sheyhidin
Journal:  Mol Biol Rep       Date:  2012-06-27       Impact factor: 2.316

2.  [Non-invasive imaging modalities for preoperative axillary lymph node staging in patients with breast cancer].

Authors:  K Wasser; A Schnitzer; J Brade; S O Schoenberg
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

Review 3.  Magnetic resonance imaging methodology.

Authors:  Ewald Moser; Andreas Stadlbauer; Christian Windischberger; Harald H Quick; Mark E Ladd
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-03       Impact factor: 9.236

4.  Principal component directed partial least squares analysis for combining nuclear magnetic resonance and mass spectrometry data in metabolomics: application to the detection of breast cancer.

Authors:  Haiwei Gu; Zhengzheng Pan; Bowei Xi; Vincent Asiago; Brian Musselman; Daniel Raftery
Journal:  Anal Chim Acta       Date:  2010-11-26       Impact factor: 6.558

5.  Biophysical review's 'meet the editors series'-a profile of Naranamangalam R. Jagannathan.

Authors:  Naranamangalam R Jagannathan
Journal:  Biophys Rev       Date:  2020-05-27

6.  Alteration in lipid composition differentiates breast cancer tissues: a 1H HRMAS NMR metabolomic study.

Authors:  Anup Paul; Surendra Kumar; Anubhav Raj; Abhinav A Sonkar; Sudha Jain; Atin Singhai; Raja Roy
Journal:  Metabolomics       Date:  2018-09-03       Impact factor: 4.290

Review 7.  Biochemical characterization of breast tumors by in vivo and in vitro magnetic resonance spectroscopy (MRS).

Authors:  Uma Sharma; Naranamangalam R Jagannathan
Journal:  Biophys Rev       Date:  2009-01-17

8.  Is higher lactate an indicator of tumor metastatic risk? A pilot MRS study using hyperpolarized (13)C-pyruvate.

Authors:  He N Xu; Stephen Kadlececk; Harrilla Profka; Jerry D Glickson; Rahim Rizi; Lin Z Li
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

9.  Artificial neural networks for classification in metabolomic studies of whole cells using 1H nuclear magnetic resonance.

Authors:  D F Brougham; G Ivanova; M Gottschalk; D M Collins; A J Eustace; R O'Connor; J Havel
Journal:  J Biomed Biotechnol       Date:  2010-09-15

10.  A Crosstalk- and Interferent-Free Dual Electrode Amperometric Biosensor for the Simultaneous Determination of Choline and Phosphocholine.

Authors:  Rosanna Ciriello; Antonio Guerrieri
Journal:  Sensors (Basel)       Date:  2021-05-19       Impact factor: 3.576

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