Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma

Sci Rep. 2015 Dec 10:5:18175. doi: 10.1038/srep18175.

Abstract

Hepatocellular carcinoma (HCC) is a common malignancy that has region specific etiologies. Unfortunately, 85% of cases of HCC are diagnosed at an advanced stage. Reliable biomarkers for the early diagnosis of HCC are urgently required to reduced mortality and therapeutic expenditure. We established a non-targeted gas chromatography-time of flight-mass spectrometry (GC-TOFMS) metabolomics method in conjunction with Random Forests (RF) analysis based on 201 serum samples from healthy controls (NC), hepatitis B virus (HBV), liver cirrhosis (LC) and HCC patients to explore the metabolic characteristics in the progression of hepatocellular carcinogenesis. Ultimately, 15 metabolites were identified intimately associated with the process. Phenylalanine, malic acid and 5-methoxytryptamine for HBV vs. NC, palmitic acid for LC vs. HBV, and asparagine and β-glutamate for HCC vs. LC were screened as the liver disease-specific potential biomarkers with an excellent discriminant performance. All the metabolic perturbations in these liver diseases are associated with pathways for energy metabolism, macromolecular synthesis, and maintaining the redox balance to protect tumor cells from oxidative stress.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / blood*
  • Carcinoma, Hepatocellular / blood*
  • Carcinoma, Hepatocellular / etiology*
  • Carcinoma, Hepatocellular / pathology
  • Case-Control Studies
  • Cell Transformation, Neoplastic / metabolism*
  • Cluster Analysis
  • Disease Progression
  • Hepatitis / complications*
  • Hepatitis / pathology
  • Humans
  • Liver Diseases / metabolism
  • Liver Diseases / pathology
  • Liver Neoplasms / blood*
  • Liver Neoplasms / etiology*
  • Liver Neoplasms / pathology
  • Metabolic Networks and Pathways
  • Metabolome*
  • Metabolomics / methods
  • ROC Curve

Substances

  • Biomarkers, Tumor