Abstract
Hepatitis B virus (HBV) infection is a major risk factor for deaths from liver cirrhosis and hepatocellular carcinoma (HCC). With a long-term goal of improving early diagnosis, we aimed to identify specific biomarkers associated with the development of HCC and liver cirrhosis in patients with HBV infection. Serum samples from 46 HBV infected patients with HCC and liver cirrhosis and 24 age–gender matched healthy subjects were profiled by liquid chromatography–mass spectrometry and gas chromatography–mass spectrometry. It was found that fatty acids and long-chain acylcarnitines were significantly elevated in HBV-related HCC patients, whereas most of the carbohydrates, amino acids, short- and medium-chain acylcarnitines, and glycerophospholipids were decreased, when compared to healthy subjects. The up-regulation of fatty acids and long-chain acylcarnitines in HCC was positively correlated with liver cirrhosis state. Logistic regression analysis indicated that palmitoylcarnitine together with arginine was an effective “combined marker” for diagnosing HBV-related HCC with 97.3 % sensitivity and 100 % specificity. Linoleic acid plus glucose was useful for discrimination of liver cirrhosis in HCC patients with 79.2 % sensitivity and 75 % specificity. These findings demonstrate that mass-spectrometry-based metabolomics is a promising tool that could provide special insights into tumor metabolism and identify novel biomarkers for detection of HCC and liver cirrhosis from HBV infected patients.
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Baniasadi, H., Gowda, G. A., Gu, H., et al. (2013). Targeted metabolic profiling of hepatocellular carcinoma and hepatitis C using LC-MS/MS. Electrophoresis, 34, 2910–2917.
Beyoglu, D., Imbeaud, S., Maurhofer, O., et al. (2013). Tissue metabolomics of hepatocellular carcinoma: tumor energy metabolism and the role of transcriptomic classification. Hepatology, 58, 229–238.
Chaneton, B., Hillmann, P., Zheng, L., et al. (2012). Serine is a natural ligand and allosteric activator of pyruvate kinase M2. Nature, 491, 458–462.
Chen, T., Xie, G., Wang, X., et al. (2011). Serum and urine metabolite profiling reveals potential biomarkers of human hepatocellular carcinoma. Molecular and Cellular Proteomics, 10(M110), 004945.
Chi, H. C., Chen, C. Y., Tsai, M. M., Tsai, C. Y., & Lin, K. H. (2013). Molecular functions of thyroid hormones and their clinical significance in liver-related diseases. Biomed Research International, 601361.
Davis, G. L., Dempster, J., Meler, J. D., et al. (2008). Hepatocellular carcinoma: management of an increasingly common problem. Proc (Bayl Univ Med Cent), 21, 266–280.
Denkert, C., Budczies, J., Kind, T., et al. (2006). Mass spectrometry-based metabolic profiling reveals different metabolite patterns in invasive ovarian carcinomas and ovarian borderline tumors. Cancer Research, 66, 10795–10804.
El-Serag, H. B. (2011). Hepatocellular Carcinoma. New England Journal of Medicine, 365, 1118–1127.
Gao, Y. H., Lu, Y. H., Huang, S. M., et al. (2014). Identifying early urinary metabolic changes with long-term environmental exposure to cadmium by mass-spectrometry-based metabolomics. Environmental Science and Technology, 48, 6409–6418.
Gao, H., Lu, Q., Liu, X., et al. (2009). Application of 1H NMR-based metabonomics in the study of metabolic profiling of human hepatocellular carcinoma and liver cirrhosis. Cancer Science, 100, 782–785.
Gatenby, R. A., & Gillies, R. J. (2004). Why do cancers have high aerobic glycolysis? Nature Reviews Cancer, 4, 891–899.
Halket, J. M., Waterman, D., Przyborowska, A. M., et al. (2005). Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS. Journal of Experimental Botany, 56, 219–243.
Jemal, A., Bray, F., Center, M. M., et al. (2011). Global cancer statistics. CA: A Cancer Journal for Clinicians, 61, 69–90.
Lai, H. S., Lee, J. C., Lee, P. H., Wang, S. T., & Chen, W. J. (2005). Plasma free amino acid profile in cancer patients. Seminars in Cancer Biology, 15, 267–276.
Li, Y. H., Liu, Y., Li, Y. D., et al. (2012). GABA stimulates human hepatocellular carcinoma growth through overexpressed GABAA receptor theta subunit. World Journal of Gastroenterology, 18, 2704–2711.
Liu, Y., Hong, Z. Y., Tan, G. G., et al. (2014). NMR and LC/MS-based global metabolomics to identify serum biomarkers differentiating hepatocellular carcinoma from liver cirrhosis. International Journal of Cancer, 135, 658–668.
Liu, Y., Li, Y. H., Guo, F. J., et al. (2008). Gamma-aminobutyric acid promotes human hepatocellular carcinoma growth through overexpressed gamma-aminobutyric acid A receptor alpha 3 subunit. World Journal of Gastroenterology, 14, 7175–7182.
Liu, S. Y., Zhang, R. L., Kang, H., Fan, Z. J., & Du, Z. (2013). Human liver tissue metabolic profiling research on hepatitis B virus-related hepatocellular carcinoma. World Journal of Gastroenterology, 19, 3423–3432.
Lu, Y. H., Lam, H. M., Pi, E. X., et al. (2013). Comparative metabolomics in Glycine max and Glycine soja under salt stress to reveal the phenotypes of their offspring. Journal of Agricultural and Food Chemistry, 61, 8711–8721.
Matsumura, K., Opiekun, M., Oka, H., et al. (2010). Urinary volatile compounds as biomarkers for lung cancer: A proof of principle study using odor signatures in mouse models of lung cancer. PLoS One, 5.
Moco, S., Bino, R. J., De Vos, R. C. H., & Vervoort, J. (2007). Metabolomics technologies and metabolite identification. Trac-Trends in Analytical Chemistry, 26, 855–866.
Nicholson, J. K., & Lindon, J. C. (2008). Systems biology: Metabonomics. Nature, 455, 1054–1056.
Nyblom, H., Bjornsson, E., Simren, M., et al. (2006). The AST/ALT ratio as an indicator of cirrhosis in patients with PBC. Liver International, 26, 840–845.
Onodera, H., Ukai, K., & Minami, Y. (1995). Hepatocellular carcinoma cases with five-year survival and prognostic factors affecting the survival time. The Tohoku Journal of Experimental Medicine, 176, 203–211.
Patterson, A. D., Maurhofer, O., Beyoglu, D., et al. (2011). Aberrant lipid metabolism in hepatocellular carcinoma revealed by plasma metabolomics and lipid profiling. Cancer Research, 71, 6590–6600.
Ressom, H. W., Xiao, J. F., Tuli, L., et al. (2012). Utilization of metabolomics to identify serum biomarkers for hepatocellular carcinoma in patients with liver cirrhosis. Analytica Chimica Acta, 743, 90–100.
Santos, C. R., & Schulze, A. (2012). Lipid metabolism in cancer. FEBS Journal, 279, 2610–2623.
Shariff, M. I. F., Gomaa, A. I., Cox, I. J., et al. (2011). Urinary metabolic biomarkers of hepatocellular carcinoma in an Egyptian population: a validation study. Journal of Proteome Research, 10, 1828–1836.
Shariff, M. I. F., Ladep, N. G., Cox, I. J., et al. (2010). Characterization of urinary biomarkers of hepatocellular carcinoma using magnetic resonance spectroscopy in a Nigerian population. Journal of Proteome Research, 9, 1096–1103.
Sharma, S., & Black, S. M. (2009). Carnitine homeostasis, mitochondrial function and cardiovascular disease. Drug Discovery Today: Disease Mechanisms, 6, e31–e39.
Shen, Q. J., Fan, J., Yang, X. R., et al. (2012). Serum DKK1 as a protein biomarker for the diagnosis of hepatocellular carcinoma: a large-scale, multicentre study. Lancet Oncology, 13, 817–826.
Simonetti, R. G., Camma, C., Fiorello, F., et al. (1991). Hepatocellular carcinoma. A worldwide problem and the major risk factors. Digestive Diseases and Sciences, 36, 962–972.
Sreekumar, A., Poisson, L. M., Rajendiran, T. M., et al. (2009). Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature, 457, 910–914.
Takehara, A., Hosokawa, M., Eguchi, H., et al. (2007). Gamma-aminobutyric acid (GABA) stimulates pancreatic cancer growth through overexpressing GABAA receptor pi subunit. Cancer Research, 67, 9704–9712.
Tan, B. B., Qiu, Y. P., Zou, X., et al. (2013). Metabonomics identifies serum metabolite markers of colorectal cancer. Journal of Proteome Research, 12, 3000–3009.
Veenstra, T. D. (2012). Metabolomics: The final frontier? Genome Medicine, 4, 40.
Wang, X. J., Zhang, A. H., & Sun, H. (2013). Power of metabolomics in diagnosis and biomarker discovery of hepatocellular carcinoma. Hepatology, 57, 2072–2077.
Wen, T., Gao, L., Wen, Z. M., et al. (2013). Exploratory investigation of plasma metabolomics in human lung adenocarcinoma. Molecular BioSystems, 9, 2370–2378.
Xiao, J. F., Varghese, R. S., Zhou, B., et al. (2012). LC-MS based serum metabolomics for identification of hepatocellular carcinoma biomarkers in Egyptian cohort. Journal of Proteome Research, 11, 5914–5923.
Yin, P. Y., Wan, D. F., Zhao, C. X., et al. (2009). A metabonomic study of hepatitis B-induced liver cirrhosis and hepatocellular carcinoma by using RP-LC and HILIC coupled with mass spectrometry. Molecular BioSystems, 5, 868–876.
Zeng, J., Yin, P., Tan, Y., et al. (2014). Metabolomics study of hepatocellular carcinoma: discovery and validation of serum potential biomarkers by using capillary electrophoresis-mass spectrometry. Journal of Proteome Research, 13, 3420–3431.
Zhang, T., Wu, X. Y., Ke, C. F., et al. (2013). Identification of potential biomarkers for ovarian cancer by urinary metabolomic profiling. Journal of Proteome Research, 12, 505–512.
Zhou, L., Ding, L., Yin, P., et al. (2012a). Serum metabolic profiling study of hepatocellular carcinoma infected with hepatitis B or hepatitis C virus by using liquid chromatography-mass spectrometry. Journal of Proteome Research, 11, 5433–5442.
Zhou, M., McDonald, J. F., & Fernandez, F. M. (2010). Optimization of a direct analysis in real time/time-of-flight mass spectrometry method for rapid serum metabolomic fingerprinting. Journal of the American Society for Mass Spectrometry, 21, 68–75.
Zhou, L., Wang, Q., Yin, P., et al. (2012b). Serum metabolomics reveals the deregulation of fatty acids metabolism in hepatocellular carcinoma and chronic liver diseases. Analytical and Bioanalytical Chemistry, 403, 203–213.
Zhu, J. J., Djukovic, D., Deng, L. L., et al. (2014). Colorectal cancer detection using targeted serum metabolic profiling. Journal of Proteome Research, 13, 4120–4130.
Acknowledgments
This study was supported in part by the grant of Natural Science Fund of The Science and Technology Commission of Shanghai, China (No. 12ZR1404300), Singapore Medical Research Council (No. NMRC/1242/2009), the NUS secondment Funds to CNO and the NUS Environmental Research Institute (NERI).
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All authors declare that they have no conflict of interest.
Informed Consent
Informed consent was obtained from all individual participants included in the study. All participants voluntarily joined this study, gave written informed consent, and completed a questionnaire that provided demographical information including age, gender, lifestyle factors, and medical family history.
Compliance with Ethical Requirements
All procedures performed in the study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study protocol was approved by the Ethics Committees of Shanghai Huashan Hospital and National University of Singapore.
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Yonghai Lu and Chong Huang have contributed equally to this work.
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Lu, Y., Huang, C., Gao, L. et al. Identification of serum biomarkers associated with hepatitis B virus-related hepatocellular carcinoma and liver cirrhosis using mass-spectrometry-based metabolomics. Metabolomics 11, 1526–1538 (2015). https://doi.org/10.1007/s11306-015-0804-9
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DOI: https://doi.org/10.1007/s11306-015-0804-9