Utility of nuclear magnetic resonance spectroscopy for pancreatic cancer studies

Tesiram, Yasvir A., Lerner, Megan, Stewart, Charles, Njoku, Charity and Brackett, Daniel J. (2012) Utility of nuclear magnetic resonance spectroscopy for pancreatic cancer studies. Pancreas, 41 3: 474-480. doi:10.1097/MPA.0b013e31822a708c


Author Tesiram, Yasvir A.
Lerner, Megan
Stewart, Charles
Njoku, Charity
Brackett, Daniel J.
Title Utility of nuclear magnetic resonance spectroscopy for pancreatic cancer studies
Journal name Pancreas   Check publisher's open access policy
ISSN 0885-3177
1536-4828
Publication date 2012-04
Sub-type Article (original research)
DOI 10.1097/MPA.0b013e31822a708c
Volume 41
Issue 3
Start page 474
End page 480
Total pages 7
Place of publication Philadelphia, PA, United States
Publisher Lippincott Williams & Wilkins
Collection year 2013
Language eng
Formatted abstract
Objectives: The aims of this study were (1) to determine nuclear magnetic resonance spectroscopic characteristics and metabolite profiles of serum samples from patients with pancreatic cancer compared with noncancerous control samples and (2) to ascertain if the accuracy of metabolite identification by 1D spectra can be improved upon by confirmation of spin-system assignment using more sophisticated experiments.
Methods: Nuclear magnetic resonance spectra, including 1D, total correlation spectroscopy, and heteronuclear multiple/single quantum coherence, were obtained from serum samples from patients with pancreatic cancer and control subjects and used to determine serum levels of a range of metabolites.
Results: The data show that total choline (P = 0.03), taurine (P = 0.03), and glucose plus triglycerides (P = 0.01) are significantly higher in cancer versus control samples. Also detected were species that could not be individually identified and that were designated UCM (unresolved complex matter). Levels of UCM are significantly higher in subjects with cancer, being almost double those of control samples.
Conclusions: Although metabolites such as lactate, taurine, glucose, choline, and triglycerides can be determined from 1D spectra, accuracy is improved by confirmation of spin-system assignment with total correlation spectroscopy and heteronuclear multiple/single quantum coherence spectral analysis. In addition, we introduce a new metric, UCM, which is at higher concentrations in cancer compared with control samples.
Keyword Nuclear magnetic resonance (NMR) spectroscopy
Metabolic profile
Human serum samples
Quantitative analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Centre for Advanced Imaging Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 9 times in Thomson Reuters Web of Science Article | Citations
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Created: Mon, 14 May 2012, 15:55:50 EST by Sandrine Ducrot on behalf of Centre for Advanced Imaging