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Studying of serum bile acids metabolomics as potential biomarkers for differentiation between hepatocellular carcinoma and cholangiocarcinoma

  • Azza Mahmoud El Sheashaey,
  • Marium Nagah Al Zafrany Al Agha,
  • Amr ragab Ibrahim shalaby,
  • Salah Mohammed El Kousy,
  • Gamalate Abd Ellatef Elgedawy

摘要

Background

Metabolomics is an emerging field that quantifies numerous metabolites systematically aiming to determine the metabolites corresponding to each biological phenotype and then provide an analysis of the mechanisms involved. Bile acids (as an organic metabolites) are synthesized in the liver from cholesterol and could be used as indicator of hepatobiliary impairment. However, the role of these bile acids in the pathogenesis of cholangiocarcinoma (CCA) and hepatocellular carcinoma (HCC) is still unclear. Therefore, the current study aimed to use serum bile acid profiles potential diagnostic biomarkers for early detection of cholangiocarcinoma and differentiating it from hepatocellular carcinoma.

Subjects and methods

Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC/MS/ MS) analytical method was used for the measurement of bile acids in the serum of patients with hepatocellular carcinoma (n = 35), cholangiocarcinoma (n = 35), and control group (n = 35) to determine role as markers for differentiation between hepatocellular carcinoma and cholangiocarcinoma.

Results

This study revealed that there was a significant increase in all 14 bile acids in both HCC and CCA compared to control. Also, there was significant increase in LCA, TCA, GDCA, and GCA in cholangiocarcinoma (CCA) compared to HCC with AUC 0.775, 0.825, 0.797, and 0.831 respectively with highest sensitivity and specificity for GCA (82% and 74%, respectively) for differentiation between the two types of cancers.

Conclusion

Determination of the serum bile acids pattern using UPLC/MS/MS may help to differentiate between hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA) especially GCA which may be a good biomarker for differentiation between two types of liver cancers.