Differentiation Between Hepatocellular Carcinoma and Colorectal Cancer Liver Metastases on High-Resolution Magic Angle Spinning Spectroscopy: Preliminary Study

To explore the potential of high-resolution magic angle spinning (HRMAS) 1 H nuclear magnetic resonance (NMR) spectroscopy for differentiation and metabolite characterization of hepatocellular carcinoma (HCC) and colorectal liver metastases (CRLM), we prospectively included 21 pathologically confirm...

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Bibliographic Details
Published in:Applied magnetic resonance 2014, Vol.45 (1), p.19-35
Main Authors: Kim, So Yeon, Kim, Siwon, Woo, Chul-Woong, Byun, Jae Ho, Lee, Seung Soo, Lee, Moon-Gyu, Kim, Haeryoung, Lee, Kyoung Ho, Kim, Young Hoon, Cho, Jai Young, Kim, Suhkmann, Lee, Jin Seong
Format: Article
Language:English
Subjects:
Atoms and Molecules in Strong Fields
Biomarkers
Cancer
Cholangiocarcinoma
Data analysis
Differentiation
Discriminant analysis
High resolution
Hypoxanthine
Laser Matter Interaction
Liver
Liver cancer
Metabolism
Metabolites
Metastasis
NMR
NMR spectroscopy
Nuclear magnetic resonance
Organic Chemistry
Pathology
Physical Chemistry
Physics
Physics and Astronomy
Separation
Software
Solid State Physics
Spectroscopy/Spectrometry
Spectrum analysis
Statistical analysis
Tumors
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Summary:To explore the potential of high-resolution magic angle spinning (HRMAS) 1 H nuclear magnetic resonance (NMR) spectroscopy for differentiation and metabolite characterization of hepatocellular carcinoma (HCC) and colorectal liver metastases (CRLM), we prospectively included 21 pathologically confirmed malignant hepatic tumors (8 HCC and 13 CRLM) and 26 non-tumorous hepatic parenchyma from 26 patients who underwent hepatic tumor resection. Using intact tissue samples obtained during surgery, HRMAS 1 H NMR spectroscopy was performed at 11.7 T. All observable metabolite signals were acquired using a water-presaturated standard one-dimensional Carr–Purcell–Meiboom–Gill sequence. Metabolomic profiles contributing to the differentiation of HCC and CRLM and of each tumor and non-tumorous hepatic parenchyma were represented by orthogonal partial least squares discriminant analysis (OPLS-DA) and loading plots. Metabolite intensity normalized by total spectral intensities in both tumors was compared using student’s t tests. OPLS-DA and loading plots demonstrated good separation between tumors and non-tumorous hepatic parenchyma. The metabolomic characteristics of HCC showed separation from those of CRLMs according to OPLS-DA. Compared with CRLM, HCC showed significantly elevated levels of glucose ( P  
ISSN:0937-9347
1613-7507
DOI:10.1007/s00723-013-0501-7