Human liver tissue metabolic profiling research on hepatitis B virus-related hepatocellular carcinoma.

Abstract

AIM:

To select characteristic endogenous metabolites in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients and to identify their molecular mechanism and potential clinical value.

METHODS:

An ultra performance liquid chromatography and linear trap quadrupole-Orbitrap XL-mass spectrometry platform was used to analyze endogenous metabolites in the homogenate of central tumor tissue, adjacent tissue and distant tissue obtained from 10 HBV-related HCC patients. After pretreatment with Mzmine software, including peak detection, alignment and normalization, the acquired data were treated with Simca-P+software to establish multivariate statistical analysis based on a pattern recognition technique and characteristic metabolites highly correlated with changing trends in metabolic profiling were selected and further identified.

RESULTS:

Based on data acquired using Mzmine software, a principal component analysis model (R2X = 66.9%, Q2 = 21.7%) with 6 principal components and an orthogonal partial least squares discriminant analysis model (R2X = 76.5%, R2Y = 93.7%, Q2 = 68.7%) with 2 predicted principal components and 5 orthogonal principal components were established in the three tissue groups. Forty-nine ions were selected, 33 ions passed the 2 related samples nonparametric test (P < 0.05) and 14 of these were further identified as characteristic metabolites that showed significant differences in levels between the central tumor tissue group and distant tumor tissue group, including 9 metabolites (L-phenylalanine, glycerophosphocholine, lysophosphatidylcholines, lysophosphatidylethanolamines and chenodeoxycholic acid glycine conjugate) which had been reported as serum metabolite biomarkers for HCC diagnosis in previous research, and 5 metabolites (beta-sitosterol, quinaldic acid, arachidyl carnitine, tetradecanal, and oleamide) which had not been reported before.

CONCLUSION:

Characteristic metabolites and metabolic pathways highly related to HCC pathogenesis and progression are identified through metabolic profiling analysis of HCC tissue homogenates.

• Authors: Shu-Ye Liu, Rikki-Lei Zhang, Hua Kang, Zhi-Juan Fan, Zhi Du
• Journal: World journal of gastroenterology (World J Gastroenterol) Vol. 19 Issue 22 Pg. 3423-32 (Jun 14 2013) ISSN: 2219-2840 [Electronic] United States
• PMID: 23801834 (Publication Type: Journal Article)

Chemical References

• Biomarkers, Tumor

Topics

• Biomarkers, Tumor (metabolism)
• Carcinoma, Hepatocellular (diagnosis, metabolism, virology)
• Chromatography, High Pressure Liquid
• Discriminant Analysis
• Female
• Hepatitis B (complications, diagnosis, metabolism)
• Humans
• Least-Squares Analysis
• Liver Neoplasms (diagnosis, metabolism, virology)
• Male
• Mass Spectrometry
• Metabolomics (methods)
• Middle Aged
• Multivariate Analysis
• Pattern Recognition, Automated
• Principal Component Analysis
• Prognosis
• Software