Plasma Lipidomic Fingerprinting to Distinguish among Hepatitis C-related Hepatocellular Carcinoma, Liver Cirrhosis, and Chronic Hepatitis C using MALDI-TOF Mass Spectrometry: a Pilot Study

Plasma Lipidomic Fingerprinting to Distinguish among Hepatitis C-related Hepatocellular Carcinoma, Liver Cirrhosis, and Chronic Hepatitis C using MALDI-TOF Mass Spectrometry: a Pilot Study

Author Passos-Castilho, Ana Maria Autor UNIFESP Google Scholar
Lo Turco, Edson Autor UNIFESP Google Scholar
Ferraz, Maria Lucia Autor UNIFESP Google Scholar
Matos, Carla Autor UNIFESP Google Scholar
Silva, Ivonete Autor UNIFESP Google Scholar
Parise, Edison Autor UNIFESP Google Scholar
Pilau, Eduardo Google Scholar
Gozzo, Fabio Google Scholar
Granato, Celso Autor UNIFESP Google Scholar
Institution Universidade Federal de São Paulo (UNIFESP)
Universidade Estadual de Campinas (UNICAMP)
Univ Maringa
Abstract Background & Aims: Hepatitis C (HC) is a major cause of hepatocellular carcinoma (HCC), and a late diagnosis is the main factor for the poor survival of patients. There is an urgent need for identifying sensitive and specific biomarkers for HCC diagnosis. In the present study, plasma lipid patterns of patients with HCHCC, HC-liver cirrhosis (LC), and chronic HC (CHC) were assessed by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS).Methods. Plasma samples of 25 patients with HC-HCC, 15 patients with HC-LC, and 25 patients with CHC were evaluated by MALDI-MS using a Q-ToF premier (Synapt) mass spectrometer (Waters, Manchester, UK) equipped with a 200-Hz solid-state laser in the mass range between m/z (mass-to-charge ratio) of 700-1200.Results. A total of 2205 ions were initially obtained and 7 ions (m/z) were highlighted as corresponding to the most important lipids to differentiate HCC patients from LC and CHC patients. The specific lipidomic expression signature generated resulted in an overall predictive accuracy of 93% of HC-HCC and HC-LC, and 100% of HC-HCC and CHC. The 7-peak algorithm distinguished HCC from LC with a sensitivity of 96% and a specificity of 87%, and HCC from CHC with both sensitivity and specificity of 100%.Conclusion. MALDI-MS-specific signature peaks accurately distinguished patients with HC-HCC from those with FIC-LC and CHC. The results indicate the potential of MALDI-MS and the selected peaks to improve HCC surveillance in patients with viral C cirrhosis and chronic hepatitis C.
Keywords hepatocellular carcinoma
hepatitis C
lipidomics
fingerprints
lipids
MALDI-MS
Language English
Sponsor Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Grant number FAPESP: 2013/03701-0
Date 2015-03-01
Published in Journal Of Gastrointestinal And Liver Diseases. Cluj-napoca: Medical Univ Press, v. 24, n. 1, p. 43-49, 2015.
ISSN 1841-8724 (Sherpa/Romeo, impact factor)
Publisher Medical Univ Press
Extent 43-49
Origin http://dx.doi.org/10.15403/jgld.2014.1121.pas
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000350844200010
URI http://repositorio.unifesp.br/11600/44367

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